def __init__(self, width, height):
self.root = Tk.Tk()
self.root.wm_title("Double Slider Test")
self.plot = Figure(figsize = (width+1, height+2), dpi=72)
self.axes = self.plot.add_subplot(111)
self.canvas = FigureCanvasTkAgg(self.plot, master=self.root)
self.canvas.get_tk_widget().grid(row=0)
self.nav_plot = Figure(figsize = (width+1, 2), dpi=72)
self.nav_axes = self.nav_plot.add_subplot(111)
self.nav_canvas = FigureCanvasTkAgg(self.nav_plot, master=self.root)
self.nav_canvas.get_tk_widget().grid(row=1)
self.nav_plot.subplots_adjust(bottom=0.2)
self.agg_canvas = self.nav_canvas.get_tk_widget()
self.slider = DoubleSlider(self.root, round=lambda x: round(x, 2),
left_bound=2.0, right_bound=3.0)
self.slider.grid(row=2, sticky=Tk.W+Tk.E+Tk.N+Tk.S)
data = [(2.0, 0.6), (2.1, 0.9), (2.2, 0.7), (2.3, 0.8), (2.4, 0.5),
(2.6, 0.2), (2.7, 0.3), (2.8, 0.6), (2.9, 0.4), (3.0, 0.1)]
self.axes.set_xbound(2.0, 3.0)
self.axes.add_collection(LineCollection([data]))
self.nav_axes.set_xbound(2.0, 3.0)
self.nav_axes.add_collection(LineCollection([data]))
def create_thumbnail(infile, thumbfile,
width=180, height=180,
xoffset=0, yoffset=0, zoom=1,
cx=0.5, cy=0.6, dpi=100):
from matplotlib import image
from matplotlib.pyplot import Figure
baseout, extout = os.path.splitext(thumbfile)
im = image.imread(infile)
thumb = padded_thumbnail(im, (height, width), (yoffset, xoffset), zoom)
extension = extout.lower()
if extension == '.png':
from matplotlib.backends.backend_agg \
import FigureCanvasAgg as FigureCanvas
elif extension == '.pdf':
from matplotlib.backends.backend_pdf \
import FigureCanvasPDF as FigureCanvas
elif extension == '.svg':
from matplotlib.backends.backend_svg \
import FigureCanvasSVG as FigureCanvas
else:
raise ValueError("Can only handle extensions 'png', 'svg' or 'pdf'")
fig = Figure(figsize=(float(width) / dpi, float(height) / dpi), dpi=dpi)
canvas = FigureCanvas(fig)
ax = fig.add_axes([0, 0, 1, 1], aspect='auto',
frameon=False, xticks=[], yticks=[])
ax.imshow(thumb, aspect='auto', resample=True,
interpolation='bilinear')
fig.savefig(thumbfile, dpi=dpi)
return fig
def __init__(self, parent=None, width=5.0, height=4.0, dpi=100):
fig = Figure((width, height), dpi=dpi)
self.axes = fig.add_subplot(1, 1, 1)
FigureCanvas.__init__(self, fig)
self.setParent(parent)
self.setSizePolicy(QSizePolicy.Expanding,
QSizePolicy.Expanding)
self.updateGeometry()
self.plot()
def initUI(self):
self.parent.title("Interactive LUX visualization")
self.pack(fill=BOTH, expand=1)
self.color_frame = Frame(self, border=1)
self.color_frame.pack(side=LEFT)
self.frame = Frame(self.color_frame, border=1,
relief=SUNKEN, width=100, height=100)
#self.frame.place(x=160, y=30)
self.frame.pack(side=TOP)
self.frame.config(bg=self.hex_color)
self.btn = Button(self.color_frame, text="Select Color",
command=self.onChoose)
self.btn.pack(side=TOP)
#self.btn.place(x=30, y=30)
self.display = Text(self, border=1,
relief=SUNKEN, width=30, height=5)
#self.display.place(x=280, y=30)
self.display.pack(side=LEFT,fill=Y,expand=1)
self.update_output()
self.fig = Figure(figsize=(10,4), dpi=100)
self.replot()
self.canvas = FigureCanvasTkAgg(self.fig, master=self)
self.canvas.show()
self.canvas.get_tk_widget().pack(side=LEFT, fill=BOTH, expand=1)
self.canvas._tkcanvas.pack(side='top', fill='both', expand=1)
def save_figure(fig: plt.Figure, destination: str,
extra_artist: mpl.artist.Artist=None):
name = Path(destination)
if extra_artist is not None:
extra_args = {"extra_artists": (extra_artist, ),
"bbox_inches": "tight"}
else:
extra_args = {}
for extension in [".pdf", ".svgz", ".png"]:
if extension != "png":
fig.savefig(str(name.with_suffix(extension)), **extra_args)
else:
fig.savefig(str(name.with_suffix(extension)), dpi=300,
**extra_args)
def saveplot(self,filename,**kwargs):
dpi = kwargs.pop('dpi',72)
format = kwargs.pop('format','png')
backend_canvas = kwargs.pop('backend_canvas',FigureCanvasAgg)
ins_orig = mpl.rcParams['svg.image_noscale']
mpl.rcParams['svg.image_noscale'] = True
fig = Figure()
canvas = backend_canvas(fig)
ax = fig.add_subplot(111)
self.plot(axes=ax,**kwargs)
fig.savefig(filename,dpi=dpi,format=format)
# Put svg image config back to original
#mpl.rcParams['svg.embed_char_paths'] = ecp_orig
mpl.rcParams['svg.image_noscale'] = ins_orig
return filename
def initUI(self):
self.parent.title("Interactive LUX visualization")
self.pack(fill=BOTH, expand=1)
self.color_frame = Frame(self, border=1)
self.color_frame.pack(side=LEFT)
probe_title_var = StringVar(); probe_title_label = Label(self.color_frame, textvariable=probe_title_var, justify=CENTER, font = "Helvetica 16 bold italic")
probe_title_var.set("Color Probe X"); probe_title_label.pack(side=TOP)
self.hsv_var = StringVar()
self.hsv_label = Label(self.color_frame, textvariable=self.hsv_var,justify=LEFT)
h,s,v = self.hsv_color
self.hsv_var.set("Hue: %2.1f \nSaturation: %2.1f \nValue: %2.1f" % (h*360,s*100,v*100))
self.hsv_label.pack(side=TOP)
self.frame = Frame(self.color_frame, border=1,
relief=SUNKEN, width=200, height=200)
self.frame.pack(side=TOP)
self.frame.config(bg=self.hex_color)
self.frame.bind("<Button-1>",self.onChoose)
self.btn = Button(self.color_frame, text="Select Color",
command=self.onChoose)
self.btn.pack(side=TOP)
posterior_title_var = StringVar(); posterior_title_label = Label(self.color_frame, textvariable=posterior_title_var, justify=CENTER, font = "Helvetica 16 bold italic")
posterior_title_var.set("\n\nLUX's Posterior"); posterior_title_label.pack(side=TOP)
Label(self.color_frame, text="Double click to show details \n(Wait time dependent on computer)").pack(side=TOP)
my_font = tkFont.Font(family="Courier", size=10)
self.display = Listbox(self.color_frame, border=1,
relief=SUNKEN, width=30, height=25, font=my_font)
self.display.pack(side=TOP,fill=Y,expand=1)
self.display.bind("<Double-Button-1>",self.onSelect)
self.display_btn = Button(self.color_frame, text="Show details", command=self.onSelect)
self.display_btn.pack(side=TOP)
self.update_output()
self.fig = Figure(figsize=(10,4), dpi=100)
self.canvas = FigureCanvasTkAgg(self.fig, master=self)
self.canvas.show()
self.canvas.get_tk_widget().pack(side=LEFT, fill=BOTH, expand=1)
self.canvas._tkcanvas.pack(side='top', fill='both', expand=1)
def draw_coordinate_axes(ax: plt.Figure,
traj: trajectory.PosePath3D,
plot_mode: PlotMode,
marker_scale: float = 0.1,
x_color: str = "r",
y_color: str = "g",
z_color: str = "b") -> None:
"""
Draws a coordinate frame axis for each pose of a trajectory.
:param ax: plot axis
:param traj: trajectory.PosePath3D or trajectory.PoseTrajectory3D object
:param plot_mode: PlotMode value
:param marker_scale: affects the size of the marker (1. * marker_scale)
:param x_color: color of the x-axis
:param y_color: color of the y-axis
:param z_color: color of the z-axis
"""
if marker_scale <= 0:
return
unit_x = np.array([1 * marker_scale, 0, 0, 1])
unit_y = np.array([0, 1 * marker_scale, 0, 1])
unit_z = np.array([0, 0, 1 * marker_scale, 1])
# Transform start/end vertices of each axis to global frame.
x_vertices = np.array([[p[:3, 3], p.dot(unit_x)[:3]]
for p in traj.poses_se3])
y_vertices = np.array([[p[:3, 3], p.dot(unit_y)[:3]]
for p in traj.poses_se3])
z_vertices = np.array([[p[:3, 3], p.dot(unit_z)[:3]]
for p in traj.poses_se3])
n = traj.num_poses
# Concatenate all line segment vertices in order x, y, z.
vertices = np.concatenate((x_vertices, y_vertices, z_vertices)).reshape(
(n * 2 * 3, 3))
# Concatenate all colors per line segment in order x, y, z.
colors = np.array(n * [x_color] + n * [y_color] + n * [z_color])
markers = colored_line_collection(vertices, colors, plot_mode, step=2)
ax.add_collection(markers)
def npsPlotByKey(pkg: NotePkg, fig:plt.Figure = None, shape: Tuple = None,
window=1000, stride=None, title=True, legend=True, barKwargs=None) -> plt.Figure:
""" This creates an NPS Plot with the axes.
:param pkg: Any Note Package
:param fig: The figure to plot on, if None, we use gcf()
:param shape: The shape of the axes to take. (rows, columns)
:param window: The window of the roll
:param stride: The stride length of the roll
:param title: Whether to show the key titles
:param legend: Whether to show legend. False to show none, True to show on first, 'all' to show on all
:param barKwargs: The kwargs to pass into plot()
"""
if fig is None: fig = plt.gcf()
if barKwargs is None: barKwargs = {}
keys = pkg.maxColumn() + 1 # This gives us the keys
if shape is None:
rows = keys
cols = 1
shape = (rows, cols)
else:
assert shape[0] * shape[1] >= keys, "Shape must be able to hold all keys."
ax: np.ndarray = fig.subplots(nrows=shape[0], ncols=shape[1],
sharex='all', sharey='all')
ax = ax.flatten()
for key in range(keys):
if legend == 'all':
npsPlot(pkg.inColumns([key]), ax=ax[key], window=window, stride=stride, legend=True, barKwargs=barKwargs)
elif legend is True and key == 0:
npsPlot(pkg.inColumns([key]), ax=ax[key], window=window, stride=stride, legend=True, barKwargs=barKwargs)
else:
npsPlot(pkg.inColumns([key]), ax=ax[key], window=window, stride=stride, legend=False, barKwargs=barKwargs)
ax: List[plt.Axes]
if title: ax[key].set_title(f"Key: {key}")
fig.tight_layout()
return fig
def plot_cfg_barplot(fig: plt.Figure, commit_report: tp.Optional[CommitReport],
draw_cf: bool,
cr_meta: tp.Optional[CommitReportMeta]) -> None:
"""Generates a bar plot that visualizes the IN/OUT control-flow/data-flow
edges of regions."""
if commit_report is None:
return
ylimit = None
if draw_cf:
data = generate_inout_cfg_cf(commit_report, cr_meta)
color_palette = sns.color_palette(["#004949", "#920000"])
if cr_meta is not None:
ylimit = cr_meta.cf_ylimit
else:
data = generate_inout_cfg_df(commit_report, cr_meta)
color_palette = sns.color_palette(["#006DDB", "#920000"])
if cr_meta is not None:
ylimit = cr_meta.df_ylimit
if data.empty:
LOG.error("CommitReport has no CF interactions")
return
data['Region'] = data['Region'].apply(lambda x: x[0:6])
plt.figure(fig.number)
plt.clf()
if ylimit is not None:
plt.ylim(0, ylimit)
bar_p = sns.barplot(x="Region",
y="Amount",
hue="Direction",
data=data,
palette=color_palette)
for label in bar_p.get_xticklabels():
label.set_rotation(90)
label.set_family("monospace")
fig.add_subplot(bar_p)
def add_figure(self,
fig: plt.Figure,
caption: str,
width: str = r"\textwidth"):
"""Adds a pyplot figure to the document
Arguments:
fig: pyplot figure handle
caption: caption to add to the figure in the document
width: the width of the image, by default this is set to the pagewidth
"""
figfn = self.docdir / "{}.png".format(self.figidx)
fig.tight_layout()
fig.savefig(figfn, dpi=120)
self.figidx += 1
figtex = figtemplate.format(fn=figfn.name,
caption=caption,
width=width)
self.add_body(figtex)
def save_figure(fig: plt.Figure,
destination: str,
extra_artist: mpl.artist.Artist = None):
name = Path(destination)
if extra_artist is not None:
extra_args = {
"extra_artists": (extra_artist, ),
"bbox_inches": "tight"
}
else:
extra_args = {}
for extension in [".pdf", ".svgz", ".png"]:
if extension != "png":
fig.savefig(str(name.with_suffix(extension)), **extra_args)
else:
fig.savefig(str(name.with_suffix(extension)),
dpi=300,
**extra_args)
def __plot_A_i(self, fig: plt.Figure, ax: plt.Axes) -> None:
"""
Plot all points and highlight the sampled sets A_i.
:param fig: The matplotlib figure to plot on.
:param ax: The matplotlib axes to plot on.
"""
ax.cla()
colors = get_cmap("Dark2").colors
ax.set_prop_cycle(color=colors)
for i, a_i in enumerate(self.A):
ax.scatter([v.i for v in a_i], [v.j for v in a_i],
s=8,
marker="o",
label="A_{}".format(i))
ax.set_title("Sampled sets A_i")
ax.legend(bbox_to_anchor=(1.05, 1.0), loc='upper left')
plt.tight_layout()
fig.show()
def showPlot3D(self, x, y, z):
fig = Figure(dpi=100, frameon=False)
a = fig.add_subplot(111, projection='3d')
a.plot_surface(x, y, z, rstride=4, cstride=4, linewidth=0, color='b')
canvas = FigureCanvas(fig)
#Makes possible to rotate the plot
a.mouse_init()
self.update_canvas(canvas)
def show_simplicial_complex(self, x: ndarray, y: ndarray, C, f: plt.Figure,
rows, cols, i, titl):
ambient_dim = x.shape[1]
if ambient_dim == 2:
ax = f.add_subplot(rows, cols, i)
elif ambient_dim == 3:
ax = Axes3D(f)
self._complex_fig_common(ax, x, y, C, titl)
return 1
def plot_roc(roc: ROC,
title: str = "",
label: str = "",
show=False,
save=False,
fig: plt.Figure = None):
if fig is None:
fig = plt.figure()
ax = fig.add_axes([0.1, 0.1, 0.85, 0.8])
else:
ax = fig.get_axes()
assert len(ax) == 1
ax = ax[0]
lw = 2
fpr, tpr, _ = roc
ax.plot(fpr, tpr, lw=lw, label=label)
ax.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')
ax.set(xlabel='FPR', ylabel='TPR', ylim=[0.0, 1.05], xlim=[0.0, 1.0])
ax.set_title(title, fontsize=15)
ax.legend(loc="lower right")
# fig.tight_layout()
if show:
fig.show()
if save:
fig.savefig(f'figs/{title}_{label}.png')
return fig
def save_plot(
figure: plt.Figure,
function_name: str,
dates: List[str],
time_step: str,
window: str,
K_value: str,
sim: bool = False,
) -> None:
"""Saves plot in png files.
Saves the plot generated in the functions of the epochs_analysis module in
png files.
:param figure: figure object that is going to be save.
:param function_name: name of the function that generates the plot.
:param dates: List of the interval of dates to be analyzed
(i.e. ['1980-01-01', '2020-12-31']).
:param time_step: time step of the data (i.e. '1m', '1h', '1d', '1wk',
'1mo').
:param window: window time to compute the volatility (i.e. '25').
:param K_value: number of companies to be used (i.e. '80', 'all').
:return: None -- The function save the plot in a file and does not return
a value.
"""
if sim:
figure.savefig(f"../plot/epochs_sim/{function_name}_win_{window}.png")
else:
# Saving plot data
figure.savefig(
f"../plot/epochs_sim/{function_name}_{dates[0]}"
+ f"_{dates[1]}_step_{time_step}_win_{window}_K"
+ "_{K_value}.png"
)
print("Plot Saved")
print()
def update_image(self):
"""
Update the canvas with the next image in the sequence
Returns
-------
None.
"""
fig = Figure(figsize=(5, 5))
self.ax = fig.add_subplot(111)
self.imname = self.images[self.img_idx]
self.image = imread(self.imname)
try:
self.ax.imshow(self.image, cmap='viridis')
except TypeError:
self.current_slice = 0
self.max_slice = self.image.shape[0] - 1
self.ax.imshow(self.image[self.current_slice], cmap='viridis')
self.ax.axis("off")
self.canvas = FigureCanvasTkAgg(fig, master=self.master)
self.canvas.get_tk_widget().pack()
def init_frame(img: ndarray, ratio: float, fig: Figure, ax: Axes,
title) -> Tuple[AxesImage, Colorbar, Text]:
image_slice = get_slice(img, ratio=ratio)
# the bigger alpha, the image would become more black
true_args = dict(vmin=0, vmax=255, cmap="bone", alpha=0.8)
im = ax.imshow(image_slice, animated=True, **true_args)
# im = ax.imshow(image_slice, animated=True)
ax.set_xticks([])
ax.set_yticks([])
title = ax.set_title(title)
cb = fig.colorbar(im, ax=ax)
return im, cb, title
def showPlot2D(self, x, y, squared):
if squared:
asp = 'equal'
else:
asp = 'auto'
fig = Figure(dpi=100, frameon=False)
a = fig.add_subplot(111, aspect=asp)
a.plot(x, y)
canvas = FigureCanvas(fig)
self.update_canvas(canvas)
def export(
fig: plt.Figure,
filename: Union[str, os.fspath],
target_dir: str = "plots/",
file_formats: Tuple[str] = (".pdf", ".png")
) -> None:
"""
Convenience function for saving a matplotlib figure.
:param fig: A matplotlib figure.
:param filename: Filename of the plot without .pdf suffix.
:param file_formats: Tuple of file formats specifying the format
figure will be saved as.
:param target_dir: Directory where the plot will be saved in.
Default is './plots/'.
:return: None
"""
if not os.path.isdir(target_dir):
os.makedirs(target_dir)
for file_format in file_formats:
fig.savefig(os.path.join(target_dir, f'{filename}{file_format}'), bbox_inches="tight")
def save_plot(figure: plt.Figure, function_name: str, dates: List[str],
time_step: str) -> None:
"""Saves plot in png files.
Saves the plot generated in the functions of the
exact_distributions_covariance_analysis module in png files.
:param figure: figure object that is going to be save.
:param function_name: name of the function that generates the plot.
:param dates: List of the interval of dates to be analyzed
(i.e. ['1980-01', '2020-12']).
:param time_step: time step of the data (i.e. '1m', '2m', '5m', ...).
:return: None -- The function save the plot in a file and does not return
a value.
"""
# Saving plot data
figure.savefig(f"../plot/exact_distributions_covariance/{function_name}" +
f"_{dates[0]}_{dates[1]}_step_{time_step}.png")
print("Plot Saved")
print()
def TreeDoubleClick(self, event):
try:
item=self.selection()[0]
item2 = self.identify_row(event.y)
if(item != item2): #user double clicked on an item which is not currently selected
return
except IndexError:
return
script_name = self.item(item, "text")
if self.btestmode:
aapl_data = pd.read_csv("E:\\python_projects\\TestData\\daily_MSFT.csv")
else:
try:
aapl_data, aapl_meta_data = self.ts.get_daily(symbol=script_name)
# Not sure if we need the following line -- commenting for time being
# aapl_sma is a df, aapl_meta_sma also a dict
aapl_sma, aapl_meta_sma = self.ti.get_sma(symbol=script_name)
except ValueError as error:
msgbx.showerror("Alpha Vantage error", error)
return
# get users price & date
dict_curr_row = self.item(script_name)
purchase_price = dict_curr_row['values'][1]
purchase_date = dict_curr_row['values'][2]
# Visualization
f_temp=Figure(figsize=(15, 6), dpi=80, facecolor='w', edgecolor='k')
plt.clf()
if(self.btestmode):
# aapl_data['close'].plot(title=script_name)
plt.plot(aapl_data['close'], label='Stock price')
else:
#aapl_data['4. close'].plot(title=script_name)
plt.plot(aapl_data['4. close'], label='Stock price')
plt.plot(aapl_sma['SMA'], label='SMA')
plt.title(script_name)
plt.xlabel('Date')
plt.ylabel('Price')
if ((purchase_date != '') and (purchase_price != '')):
plt.annotate('Your price point', (mdates.datestr2num(purchase_date), float(purchase_price)),
xytext=(15,15), textcoords='offset points', arrowprops=dict(arrowstyle='-|>'))
plt.axhline(float(purchase_price), color='y') # will draw a horizontal line at purchase price
plt.tight_layout()
plt.legend(loc='upper left')
plt.grid()
plt.show()
def _(
figure: Figure,
scale: str = "down",
inherit_font: bool = True,
tight_layout: bool = True,
bbox_inches: str = None,
) -> SVGContentConfiguration:
if tight_layout:
figure.tight_layout()
fig_size = figure.get_size_inches()
with io.StringIO() as str_io:
figure.savefig(str_io, format="svg", transparent=True, bbox_inches=bbox_inches)
svg = str_io.getvalue()
return SVGContentConfiguration(
data=clean_svg(
svg,
scale=scale,
width=fig_size[0],
height=fig_size[1],
inherit_font=inherit_font,
)
)
def draw_network(network: NetworkType, color=('lightskyblue', 'limegreen', 'goldenrod'), shape=('s', 'o', '^'),
fig: plt.Figure = None, save_to=None, **kwargs):
nodes = network.nodes.keys()
nodes_id = {i: i for i, node in network.nodes.items()}
arcs = [(i, j) for i in nodes for j in nodes if i != j]
g = nx.DiGraph()
g.add_nodes_from(nodes)
g.add_edges_from(arcs)
if not fig:
fig = plt.figure()
pos = {i: (network.nodes[i].pos_x, network.nodes[i].pos_y) for i in nodes}
nx.draw(g, pos=pos, nodelist=network.depots, arrows=False, node_color=color[0], node_shape=shape[0],
labels=nodes_id, **kwargs)
nx.draw(g, pos=pos, nodelist=network.customers, arrows=False, node_color=color[1], node_shape=shape[1],
labels=nodes_id, **kwargs)
nx.draw(g, pos=pos, nodelist=network.charging_stations, arrows=False, node_color=color[2], node_shape=shape[2],
labels=nodes_id, **kwargs)
if save_to:
fig.savefig(save_to)
return fig, g
def _plot_save_helper(self, figure: plt.Figure, **kwargs: t.Any):
# Get the name of the calling function, look up an entry in the PLOT_FILENAMES dictionary,
# or, if unavailable, set the fileneme to the name of the plotting function.
caller: str = inspect.stack()[1][3]
filename: str = (self.PLOT_FILENAMES[caller] if caller
in self.PLOT_FILENAMES else caller.split("plot_")[-1])
add_to_title = None
if "add_to_title" in kwargs:
add_to_title = kwargs.get("add_to_title", "")
if not isinstance(add_to_title, str):
add_to_title = str(add_to_title)
elif self._global_add_to_title is not None:
add_to_title = self._global_add_to_title
if add_to_title:
title = "{} | {}".format(figure._suptitle.get_text(), add_to_title)
figure._suptitle.set_text(title)
if "add_to_filename" in kwargs:
filename = "{}{}".format(filename, kwargs.get("add_to_filename"))
elif self._global_add_to_filename is not None:
filename = "{}{}".format(filename, self._global_add_to_filename)
if self._save_png:
figure.savefig(
(self.save_path / filename).with_suffix(".png"),
dpi=self._screen_dpi,
bbox_inches="tight",
)
if self._save_pdf:
figure.savefig(
(self.save_path / filename).with_suffix(".pdf"),
dpi=self._print_dpi,
bbox_inches="tight",
)
def save_plot(figure: plt.Figure, function_name: str, dates: List[str],
time_step: str, window: str) -> None:
"""Saves plot in png files.
Saves the plot generated in the functions of the
local_normalization_analysis module in png files.
:param figure: figure object that is going to be save.
:param function_name: name of the function that generates the plot.
:param dates: List of the interval of dates to be analyzed
(i.e. ['1980-01', '2020-12']).
:param time_step: time step of the data (i.e. '1m', '2m', '5m', ...).
:param window: window time to compute the volatility (i.e. '60').
:return: None -- The function save the plot in a file and does not return
a value.
"""
# Saving plot data
figure.savefig(f'../plot/local_normalization/{function_name}_{dates[0]}' +
f'_{dates[1]}_step_{time_step}_win_{window}.png')
print('Plot Saved')
print()
def export(
fig: plt.Figure,
filename: PathType,
target_dir: PathType = "plots/",
file_formats: Tuple[str, ...] = (".pdf", ".png"),
save_as_tikz: bool = False,
close_figure: bool = False,
) -> None:
"""
Convenience function for saving a matplotlib figure.
:param fig: A matplotlib figure.
:param filename: Filename of the plot without .pdf suffix.
:param file_formats: Tuple of file formats specifying the format
figure will be saved as.
:param target_dir: Directory where the plot will be saved in.
Default is './plots/'.
:param save_as_tikz: Save the plot also as raw tikz tex document.
:param close_figure: Whether to close the figure after saving it.
Default is False
:return: None
"""
os.makedirs(target_dir, exist_ok=True)
for file_format in file_formats:
fig.savefig(os.path.join(target_dir, f"{filename}{file_format}"),
bbox_inches="tight")
if save_as_tikz:
save_figure_as_tikz_tex_file(fig=fig,
target_path=os.path.join(
target_dir, f"{filename}_tikz.tex"))
if close_figure:
plt.close(fig)
fig.clf()
def prepare_axis(fig: plt.Figure,
plot_mode: PlotMode = PlotMode.xy,
subplot_arg: int = 111) -> plt.Axes:
"""
prepares an axis according to the plot mode (for trajectory plotting)
:param fig: matplotlib figure object
:param plot_mode: PlotMode
:param subplot_arg: optional if using subplots - the subplot id (e.g. '122')
:return: the matplotlib axis
"""
if plot_mode == PlotMode.xyz:
ax = fig.add_subplot(subplot_arg, projection="3d")
else:
ax = fig.add_subplot(subplot_arg)
ax.axis("equal")
if plot_mode in {PlotMode.xy, PlotMode.xz, PlotMode.xyz}:
xlabel = "$x$ (m)"
elif plot_mode in {PlotMode.yz, PlotMode.yx}:
xlabel = "$y$ (m)"
else:
xlabel = "$z$ (m)"
if plot_mode in {PlotMode.xy, PlotMode.zy, PlotMode.xyz}:
ylabel = "$y$ (m)"
elif plot_mode in {PlotMode.zx, PlotMode.yx}:
ylabel = "$x$ (m)"
else:
ylabel = "$z$ (m)"
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
if plot_mode == PlotMode.xyz:
ax.set_zlabel('$z$ (m)')
if SETTINGS.plot_invert_xaxis:
plt.gca().invert_xaxis()
if SETTINGS.plot_invert_yaxis:
plt.gca().invert_yaxis()
return ax
def hist_save_plot(function_name: str, figure: plt.Figure, fx_pair: str,
year: str, month: str) -> None:
"""Saves plot in png files.
Saves the plot generated in the functions of the
hist_data_plot_responses_trade module in png files.
:param function_name: name of the function that generates the plot.
:param figure: figure object that is going to be save.
:param fx_pair: string of the abbreviation of the forex pair to be analyzed
(i.e. 'eur_usd').
:param year: string of the year to be analyzed (i.e '2016').
:param month: string of the month to be analyzed (i.e '07').
:return: None -- The function save the plot in a file and does not return
a value.
"""
# Saving plot data
if (not os.path.isdir(
f'../../hist_plot/responses_trade_{year}/{function_name}/')):
try:
os.mkdir(f'../../hist_plot/responses_trade_{year}/'
+ f'{function_name}/')
print('Folder to save data created')
except FileExistsError:
print('Folder exists. The folder was not created')
figure.savefig(f'../../hist_plot/responses_trade_{year}'
+ f'/{function_name}/{function_name}_{year}{month}'
+ f'_{fx_pair}.png')
print('Plot saved')
print()
def add_figure(self, figure: plt.Figure, caption: Optional[str] = None):
buf = io.BytesIO()
figure.set_size_inches(6, 4)
figure.set_dpi(300)
figure.savefig(buf, format="png")
b64url = "data:image/png;base64,%s" % base64.b64encode(
buf.getvalue()).decode("utf8")
self.__elements.append({"kind": "figure", "url": b64url})
plt.clf()
def ray_plot(fig: Figure,
source: Origin,
reciever: Station,
phases: list = None,
position=223):
""" Use TauP to make a plot of predicted ray-paths. """
phases = phases or DEFAULT_PHASES
ax = fig.add_subplot(position, projection="polar")
degrees_dist = locations2degrees(reciever.latitude, reciever.longitude,
source.latitude, source.longitude)
arrivals = MODEL.get_ray_paths(source_depth_in_km=source.depth / 1000.0,
distance_in_degree=degrees_dist,
phase_list=phases)
arrivals.plot_rays(ax=ax, legend=True, show=False)
return fig, ax
def isochrones_subfig(
fig_: Figure, x_: np.ndarray, y_: np.ndarray, color_: str = gray_
) -> Tuple[Axes, Tuple[float, float]]:
r"""Generate an isochrones subfig for embedding."""
# Top left isochrones 0
size_zoom_0: Tuple[float, float] = (0.65, 0.55)
posn_0: Tuple[float, float] = (0.0, 0.75)
axes_0 = fig_.add_axes([*posn_0, *size_zoom_0])
plt.axis("off")
n_isochrones = 6
for i_, sf_ in enumerate(np.linspace(0.5, 1.2, n_isochrones)):
plt.plot(
*(x_, sf_ * y_),
"-",
color=self.gray_color(i_, n_gray),
lw=2.5,
)
plt.xlim(0, 1)
plt.ylim(0, 1)
sf1_ = 1.3
sf2_ = 1.3
arrow_xy_: np.ndarray = np.array([0.2, 0.8])
arrow_dxy_: np.ndarray = np.array([-0.025, 0.15])
motion_xy_: Tuple[float, float] = (0.1, 0.8)
motion_angle_ = 23
my_arrow_style = ArrowStyle.Simple(
head_length=1 * sf1_, head_width=1 * sf1_, tail_width=0.1 * sf1_
)
axes_0.annotate(
"",
xy=arrow_xy_,
xytext=arrow_xy_ + arrow_dxy_ * sf2_,
transform=axes_0.transAxes,
arrowprops=dict(arrowstyle=my_arrow_style, color=color_, lw=3),
)
plt.text(
*motion_xy_,
"motion",
color=color_,
fontsize=16,
rotation=motion_angle_,
transform=axes_0.transAxes,
horizontalalignment="center",
verticalalignment="center",
)
return (axes_0, posn_0)
def _mpl_figure_to_rgb_img(fig: plt.Figure, height, width):
fig.set_dpi(100)
fig.set_size_inches(width / 100, height / 100)
canvas = fig.canvas
canvas.draw()
width, height = np.round(fig.get_size_inches() * fig.get_dpi()).astype(int)
# image = np.fromstring(fig.canvas.tostring_rgb(), dtype='uint8')
img = np.fromstring(canvas.tostring_rgb(),
dtype='uint8').reshape(height, width, 3)
plt.close(fig)
return img
def save_plot(
path: str,
name: str,
fig: plt.Figure,
file_formats: Iterable[str] = ("png", "pdf"),
timestamp: Optional[dt.datetime] = None,
) -> Generator:
"""
Context manager that creates a new figure on entry and saves the
figure using the specified name, format, and path on exit.
Parameters
----------
path : str
Path prefix to use in constructing the result path
name : str
Basename to use in constructing the result path
file_formats : iterable of str
File extensions with which to save the result. Elements must
be accepted by ``plt.savefig``
timestamp : datetime or None, optional
If given, draw a watermark with the timestamp at the bottom of
the figure
Examples
--------
>>> fig = plt.plot(np.cos(np.linspace(-np.pi, np.pi)))
>>> fig.title("My cool plot")
>>> save_plot('example/plots', 'test_plot', fig, 'png'):
"""
outfiles = [
os.path.join(path, os.extsep.join([name, file_format]))
for file_format in file_formats
]
if timestamp is not None:
fig.tight_layout(rect=(0, 0.05, 1, 1)) # leave space for timestamp
_plot_updated_timestamp(timestamp, fig)
else:
fig.tight_layout()
# Make sure the directory exists
os.makedirs(path, exist_ok=True)
for outfile in outfiles:
fig.savefig(
outfile,
transparent=True,
)
plt.close(fig=fig)
def add_axes(fig: Figure, rct: Tuple[float, float, float, float],
num: int) -> List[Axes]:
"""
add axes to figure in a rectangular with several panels vertically.
:param fig: figure to add axes.
:param rct: lower left point x, lower left point y, width, height.
:param num: number of panels.
:return: a list of axes.
"""
axs = []
x0, y0, w, h = rct
width = w
height = h / num
for n in range(num):
xax = x0
yax = y0 + h - (n + 1) * height
ax = fig.add_axes([xax, yax, width, height])
axs.append(ax)
return axs
def _fix_shap_force_figure(fig: plt.Figure) -> plt.Figure:
"""
Replaces the figure annotation in shap force plots with "absent" if value = 0.0 and
"present" if value = 1.0.
:param fig: a matplotlib.pyplot.Figure as produced by shap.force_plot.
:return: The same fig, modified as described.
"""
ax = fig.gca()
for c in ax.get_children():
if isinstance(c, plt.Text):
t = c.get_text()
if t.endswith(' = 1.0'):
c.set_text(t.replace(' = 1.0', ' present'))
elif t.endswith(' = 0.0'):
c.set_text(t.replace(' = 0.0', ' absent'))
else:
pass
return fig
def latticeplot(optic, diagnostics, size=None):
ymin, ymax = 0, 100
fig = Figure(frameon=False)
if size is not None:
fig.set_figwidth(size[0])
fig.set_figheight(size[1])
ax = fig.add_subplot(111)
drawlattice(ax, optic, diagnostics, [ymin, ymax], .3, checkconf=False)
s = cumsum(optic[1, :])
ax.set_xlim(0, s[-1])
ax.set_ylim(ymin, ymax)
ax.axis('off')
ax.get_xaxis().set_visible(False)
ax.get_yaxis().set_visible(False)
return fig
def __init__(self, parent, *args, **kwargs):
wx.Dialog.__init__(self, parent, -1, _("Insert chart"), *args,
size=(900, 700), style=wx.RESIZE_BORDER, **kwargs)
self.splitter = wx.SplitterWindow(self, -1, style=wx.SP_LIVE_UPDATE)
self.splitter.parent = self
# Create a CustomTreeCtrl instance
self.tree = ChartTree(self.splitter, style=wx.BORDER_SUNKEN)
self.figure_panel = FigurePanel(self.splitter)
# Dummy figure
self.figure = Figure(facecolor='white')
ax = self.figure.add_subplot(111)
ax.xaxis.set_picker(5)
ax.xaxis.name = "xaxis"
ax.yaxis.set_picker(5)
ax.yaxis.name = "yaxis"
plt = ax.plot([(x/10.0)**2 for x in xrange(1000)], picker=5)
plt[-1].name = "test"
self.figure_panel.update(self.figure)
# Split Window
self.splitter.SplitVertically(self.tree, self.figure_panel)
self.splitter.SetMinimumPaneSize(10)
self.splitter.SetSashPosition(400)
# Buttons
self.button_add = wx.Button(self, wx.ID_ADD)
self.button_remove = wx.Button(self, wx.ID_REMOVE)
self.button_cancel = wx.Button(self, wx.ID_CANCEL)
self.button_ok = wx.Button(self, wx.ID_OK)
self.button_add.Bind(wx.EVT_BUTTON, self.OnAdd)
self._layout()
class MainWindow(QMainWindow):
""" Class of Main Window (top)
"""
_errMsgWindow = None
def __init__(self, parent=None):
""" Initialization and set up
"""
# Base class
QMainWindow.__init__(self, parent)
# Mantid configuration
config = ConfigService.Instance()
self._instrument = config["default.instrument"]
# Central widget
self.centralwidget = QWidget(self)
# UI Window (from Qt Designer)
self.ui = load_ui(__file__, 'MainWindow.ui', baseinstance=self)
mpl_layout = QVBoxLayout()
self.ui.graphicsView.setLayout(mpl_layout)
self.fig = Figure()
self.canvas = FigureCanvas(self.fig)
self.ui.mainplot = self.fig.add_subplot(111, projection='mantid')
mpl_layout.addWidget(self.canvas)
# Do initialize plotting
vecx, vecy, xlim, ylim = self.computeMock()
self.mainline = self.ui.mainplot.plot(vecx, vecy, 'r-')
leftx = [xlim[0], xlim[0]]
lefty = [ylim[0], ylim[1]]
self.leftslideline = self.ui.mainplot.plot(leftx, lefty, 'b--')
rightx = [xlim[1], xlim[1]]
righty = [ylim[0], ylim[1]]
self.rightslideline = self.ui.mainplot.plot(rightx, righty, 'g--')
upperx = [xlim[0], xlim[1]]
uppery = [ylim[1], ylim[1]]
self.upperslideline = self.ui.mainplot.plot(upperx, uppery, 'b--')
lowerx = [xlim[0], xlim[1]]
lowery = [ylim[0], ylim[0]]
self.lowerslideline = self.ui.mainplot.plot(lowerx, lowery, 'g--')
self.canvas.mpl_connect('button_press_event', self.on_mouseDownEvent)
# Set up horizontal slide (integer) and string value
self._leftSlideValue = 0
self._rightSlideValue = 99
self.ui.horizontalSlider.setRange(0, 100)
self.ui.horizontalSlider.setValue(self._leftSlideValue)
self.ui.horizontalSlider.setTracking(True)
self.ui.horizontalSlider.setTickPosition(QSlider.NoTicks)
self.ui.horizontalSlider.valueChanged.connect(self.move_leftSlider)
self.ui.horizontalSlider_2.setRange(0, 100)
self.ui.horizontalSlider_2.setValue(self._rightSlideValue)
self.ui.horizontalSlider_2.setTracking(True)
self.ui.horizontalSlider_2.setTickPosition(QSlider.NoTicks)
self.ui.horizontalSlider_2.valueChanged.connect(self.move_rightSlider)
# self.connect(self.ui.lineEdit_3, QtCore.SIGNAL("textChanged(QString)"),
# self.set_startTime)
self.ui.lineEdit_3.setValidator(QDoubleValidator(self.ui.lineEdit_3))
self.ui.pushButton_setT0.clicked.connect(self.set_startTime)
# self.connect(self.ui.lineEdit_4, QtCore.SIGNAL("textChanged(QString)"),
# self.set_stopTime)
self.ui.lineEdit_4.setValidator(QDoubleValidator(self.ui.lineEdit_4))
self.ui.pushButton_setTf.clicked.connect(self.set_stopTime)
# File loader
self.scanEventWorkspaces()
self.ui.pushButton_refreshWS.clicked.connect(self.scanEventWorkspaces)
self.ui.pushButton_browse.clicked.connect(self.browse_File)
self.ui.pushButton_load.clicked.connect(self.load_File)
self.ui.pushButton_3.clicked.connect(self.use_existWS)
# Set up time
self.ui.lineEdit_3.setValidator(QDoubleValidator(self.ui.lineEdit_3))
self.ui.lineEdit_4.setValidator(QDoubleValidator(self.ui.lineEdit_4))
# Filter by time
self.ui.pushButton_filterTime.clicked.connect(self.filterByTime)
# Filter by log value
self.ui.lineEdit_5.setValidator(QDoubleValidator(self.ui.lineEdit_5))
self.ui.lineEdit_6.setValidator(QDoubleValidator(self.ui.lineEdit_6))
self.ui.lineEdit_7.setValidator(QDoubleValidator(self.ui.lineEdit_7))
self.ui.lineEdit_8.setValidator(QDoubleValidator(self.ui.lineEdit_8))
self.ui.lineEdit_9.setValidator(QDoubleValidator(self.ui.lineEdit_9))
self.ui.lineEdit_5.textChanged.connect(self.set_minLogValue)
self.ui.lineEdit_6.textChanged.connect(self.set_maxLogValue)
dirchangeops = ["Both", "Increase", "Decrease"]
self.ui.comboBox_4.addItems(dirchangeops)
logboundops = ["Centre", "Left"]
self.ui.comboBox_5.addItems(logboundops)
self.ui.pushButton_4.clicked.connect(self.plotLogValue)
self.ui.pushButton_filterLog.clicked.connect(self.filterByLogValue)
# Set up help button
self.ui.helpBtn.clicked.connect(self.helpClicked)
# Set up vertical slide
self._upperSlideValue = 99
self._lowerSlideValue = 0
self.ui.verticalSlider.setRange(0, 100)
self.ui.verticalSlider.setValue(self._upperSlideValue)
self.ui.verticalSlider.setTracking(True)
self.ui.verticalSlider.valueChanged.connect(self.move_upperSlider)
self.ui.verticalSlider_2.setRange(0, 100)
self.ui.verticalSlider_2.setValue(self._lowerSlideValue)
self.ui.verticalSlider_2.setTracking(True)
self.ui.verticalSlider_2.valueChanged.connect(self.move_lowerSlider)
# Set up for filtering (advanced setup)
self._tofcorrection = False
self.ui.checkBox_fastLog.setChecked(False)
self.ui.checkBox_filterByPulse.setChecked(False)
self.ui.checkBox_from1.setChecked(False)
self.ui.checkBox_groupWS.setChecked(True)
self.ui.comboBox_tofCorr.currentIndexChanged.connect(self.showHideEi)
self.ui.pushButton_refreshCorrWSList.clicked.connect(self._searchTableWorkspaces)
self.ui.lineEdit_Ei.setValidator(QDoubleValidator(self.ui.lineEdit_Ei))
self.ui.label_Ei.hide()
self.ui.lineEdit_Ei.hide()
self.ui.label_Ei_2.hide()
self.ui.comboBox_corrWS.hide()
self.ui.pushButton_refreshCorrWSList.hide()
# Set up for workspaces
self._dataWS = None
self._sampleLogNames = []
self._sampleLog = None
# Side information
self.ui.label_mean.hide()
self.ui.label_meanvalue.hide()
self.ui.label_avg.hide()
self.ui.label_timeAvgValue.hide()
self.ui.label_freq.hide()
self.ui.label_freqValue.hide()
self.ui.label_logname.hide()
self.ui.label_lognamevalue.hide()
self.ui.label_logsize.hide()
self.ui.label_logsizevalue.hide()
# Default
self._defaultdir = os.getcwd()
# register startup
mantid.UsageService.registerFeatureUsage("Interface", "EventFilter", False)
def on_mouseDownEvent(self, event):
""" Respond to pick up a value with mouse down event
"""
x = event.xdata
y = event.ydata
if x is not None and y is not None:
msg = "You've clicked on a bar with coords:\n %f, %f" % (x, y)
QMessageBox.information(self, "Click!", msg)
def computeMock(self):
""" Compute vecx and vecy as mocking
"""
x0 = 0.
xf = 1.
dx = 0.1
vecx = []
vecy = []
x = x0
while x < xf:
y = 0.0
vecx.append(x)
vecy.append(y)
x += dx
xlim = [x0, xf]
ylim = [-1., 1]
return (vecx, vecy, xlim, ylim)
def move_leftSlider(self):
""" Re-setup left range line in figure.
Triggered by a change in Qt Widget. NO EVENT is required.
"""
newx = self.ui.horizontalSlider.value()
if newx <= self._rightSlideValue and newx != self._leftSlideValue:
# Allowed value: move the value bar
self._leftSlideValue = newx
# Move the vertical line
xlim = self.ui.mainplot.get_xlim()
newx = xlim[0] + newx*(xlim[1] - xlim[0])*0.01
leftx = [newx, newx]
lefty = self.ui.mainplot.get_ylim()
setp(self.leftslideline, xdata=leftx, ydata=lefty)
self.canvas.draw()
# Change value
self.ui.lineEdit_3.setText(str(newx))
else:
# Reset the value to original value
self.ui.horizontalSlider.setValue(self._leftSlideValue)
def set_startTime(self):
""" Set the starting time and left slide bar
"""
inps = str(self.ui.lineEdit_3.text())
info_msg = "Starting time = %s" % (inps)
Logger("Filter_Events").information(info_msg)
xlim = self.ui.mainplot.get_xlim()
if inps == "":
# Empty. Use default
newtime0 = xlim[0]
else:
newtime0 = float(inps)
# Convert to integer slide value
ileftvalue = int((newtime0-xlim[0])/(xlim[1] - xlim[0])*100)
debug_msg = "iLeftSlide = %s" % str(ileftvalue)
Logger("Filter_Events").debug(debug_msg)
# Skip if same as origina
if ileftvalue == self._leftSlideValue:
return
# Set the value if out of range
resetT = True
if ileftvalue < 0:
# Minimum value as 0
ileftvalue = 0
elif ileftvalue > self._rightSlideValue:
# Maximum value as right slide value
ileftvalue = self._rightSlideValue
else:
resetT = False
if resetT is True:
newtime0 = xlim[0] + ileftvalue*(xlim[1]-xlim[0])*0.01
info_msg = 'Corrected iLeftSlide = {} (vs. right = {})'.format(ileftvalue,
self._rightSlideValue)
Logger("Filter_Events").information(info_msg)
# Move the slide bar (left)
self._leftSlideValue = ileftvalue
# Move the vertical line
leftx = [newtime0, newtime0]
lefty = self.ui.mainplot.get_ylim()
setp(self.leftslideline, xdata=leftx, ydata=lefty)
self.canvas.draw()
# Set the value to left slider
self.ui.horizontalSlider.setValue(self._leftSlideValue)
# Reset the value of line edit
if resetT is True:
self.ui.lineEdit_3.setText(str(newtime0))
def move_rightSlider(self):
""" Re-setup left range line in figure.
Triggered by a change in Qt Widget. NO EVENT is required.
"""
newx = self.ui.horizontalSlider_2.value()
if newx >= self._leftSlideValue and newx != self._rightSlideValue:
# Allowed value: move the value bar
self._rightSlideValue = newx
xlim = self.ui.mainplot.get_xlim()
newx = xlim[0] + newx*(xlim[1] - xlim[0])*0.01
leftx = [newx, newx]
lefty = self.ui.mainplot.get_ylim()
setp(self.rightslideline, xdata=leftx, ydata=lefty)
self.canvas.draw()
# Change value
self.ui.lineEdit_4.setText(str(newx))
else:
# Reset the value
self.ui.horizontalSlider_2.setValue(self._rightSlideValue)
def set_stopTime(self):
""" Set the starting time and left slide bar
"""
inps = str(self.ui.lineEdit_4.text())
Logger("Filter_Events").information('Stopping time = {}'.format(inps))
xlim = self.ui.mainplot.get_xlim()
if inps == "":
# Empty. Use default
newtimef = xlim[1]
else:
# Parse
newtimef = float(inps)
# Convert to integer slide value
irightvalue = int((newtimef-xlim[0])/(xlim[1] - xlim[0])*100)
Logger("Filter_Events").information('iRightSlide = {}'.format(irightvalue))
# Return if no change
if irightvalue == self._rightSlideValue:
return
# Correct value
resetT = True
if irightvalue > 100:
irightvalue = 100
elif irightvalue < self._leftSlideValue:
irightvalue = self._leftSlideValue
else:
resetT = False
if resetT is True:
newtimef = xlim[0] + irightvalue*(xlim[1]-xlim[0])*0.01
# Move the slide bar (right)
self._rightSlideValue = irightvalue
# Move the vertical line
rightx = [newtimef, newtimef]
righty = self.ui.mainplot.get_ylim()
setp(self.rightslideline, xdata=rightx, ydata=righty)
self.canvas.draw()
# Set the value to left slider
self.ui.horizontalSlider_2.setValue(self._rightSlideValue)
# Reset to line edit
if resetT:
self.ui.lineEdit_4.setText(str(newtimef))
def move_lowerSlider(self):
""" Re-setup upper range line in figure.
Triggered by a change in Qt Widget. NO EVENT is required.
"""
inewy = self.ui.verticalSlider_2.value()
debug_msg = 'LowerSlFider is set with value {} vs. class variable {}'.format(inewy,
self._lowerSlideValue)
Logger("Filter_Events").debug(debug_msg)
# Return with no change
if inewy == self._lowerSlideValue:
# No change
return
if inewy >= self._upperSlideValue:
# Out of upper range
inewy = self._upperSlideValue - 1
if inewy == 0 and self._lowerSlideValue < 0:
setLineEdit = False
else:
setLineEdit = True
# Move the lower vertical bar
ylim = self.ui.mainplot.get_ylim()
newy = ylim[0] + inewy*(ylim[1] - ylim[0])*0.01
lowerx = self.ui.mainplot.get_xlim()
lowery = [newy, newy]
setp(self.lowerslideline, xdata=lowerx, ydata=lowery)
self.canvas.draw()
# Set line edit input
if setLineEdit is True:
# Change value to line edit (5)
self.ui.lineEdit_5.setText(str(newy))
# Reset the class variable
self._lowerSlideValue = inewy
def set_minLogValue(self):
""" Set the starting time and left slide bar
"""
debug_msg = 'Minimum Log Value = {}'.format(self.ui.lineEdit_5.text())
Logger("Filter_Events").debug(debug_msg)
ylim = self.ui.mainplot.get_ylim()
if str(self.ui.lineEdit_5.text()) == "":
# Empty. Default to minY
newminY = ylim[0]
else:
# Non empty. Parse
newminY = float(self.ui.lineEdit_5.text())
# Convert to integer slide value
iminlogval = int((newminY-ylim[0])/(ylim[1] - ylim[0])*100)
Logger("Filter_Events").debug('ilowerSlide = {}'.format(iminlogval))
# Return if no change
if iminlogval == self._lowerSlideValue:
return
# Set value if out of range
resetL = True
if iminlogval >= self._upperSlideValue:
iminlogval = self._upperSlideValue - 1
else:
resetL = False
if resetL is True:
newminY = ylim[0] + iminlogval * (ylim[1]-ylim[0]) * 0.01
# Move the vertical line
lowerx = self.ui.mainplot.get_xlim()
lowery = [newminY, newminY]
setp(self.lowerslideline, xdata=lowerx, ydata=lowery)
self.canvas.draw()
# Move the slide bar (lower)
self._lowerSlideValue = iminlogval
debug_msg = 'LineEdit5 set slide to {}'.format(self._lowerSlideValue)
Logger("Filter_Events").debug(debug_msg)
self.ui.verticalSlider_2.setValue(self._lowerSlideValue)
# Reset line Edit if using default
if resetL is True:
self.ui.lineEdit_5.setText(str(newminY))
def move_upperSlider(self):
""" Re-setup upper range line in figure.
Triggered by a change in Qt Widget. NO EVENT is required.
"""
inewy = self.ui.verticalSlider.value()
# Return w/o change
if inewy == self._upperSlideValue:
return
# Set to boundary value
if inewy <= self._lowerSlideValue:
inewy = self._lowerSlideValue + 1
# Reset line editor?
if inewy == 100 and self._upperSlideValue > 100:
setLineEdit = False
else:
setLineEdit = True
# Move the upper value bar: upperx and uppery are
# real value (float but not (0,100)) of the figure
ylim = self.ui.mainplot.get_ylim()
newy = ylim[0] + inewy*(ylim[1] - ylim[0])*0.01
upperx = self.ui.mainplot.get_xlim()
uppery = [newy, newy]
setp(self.upperslideline, xdata=upperx, ydata=uppery)
self.canvas.draw()
# Change value
if setLineEdit is True:
self.ui.lineEdit_6.setText(str(newy))
self._upperSlideValue = inewy
def set_maxLogValue(self):
""" Set maximum log value from line-edit
"""
inps = str(self.ui.lineEdit_6.text())
debug_msg = 'Maximum Log Value = {}'.format(inps)
Logger("Filter_Events").debug(debug_msg)
ylim = self.ui.mainplot.get_ylim()
if inps == "":
# Empty. Default to minY
newmaxY = ylim[1]
else:
# Parse
newmaxY = float(inps)
# Convert to integer slide value
imaxlogval = int((newmaxY-ylim[0])/(ylim[1] - ylim[0])*100)
debug_msg = 'iUpperSlide = {}'.format(imaxlogval)
Logger("Filter_Events").debug(debug_msg)
# Return if no change
if imaxlogval == self._upperSlideValue:
return
# Set to default if out of range
resetL = True
# if imaxlogval >= 100:
# imaxlogval = 100
if imaxlogval < self._lowerSlideValue:
imaxlogval = self._lowerSlideValue + 1
else:
resetL = False
# Set newmaxY if necessary
if resetL is True:
newmaxY = ylim[0] + imaxlogval * (ylim[1] - ylim[0]) * 0.01
# Move the vertical line
upperx = self.ui.mainplot.get_xlim()
uppery = [newmaxY, newmaxY]
setp(self.upperslideline, xdata=upperx, ydata=uppery)
self.canvas.draw()
# Set the value to upper slider
self._upperSlideValue = imaxlogval
self.ui.verticalSlider.setValue(self._upperSlideValue)
# Set the value to editor if necessary
if resetL is True:
self.ui.lineEdit_6.setText(str(newmaxY))
def browse_File(self):
""" Open a file dialog to get file
"""
filename = QFileDialog.getOpenFileName(self, 'Input File Dialog',
self._defaultdir, "Data (*.nxs *.dat);;All files (*)")
if isinstance(filename, tuple):
filename = filename[0]
self.ui.lineEdit.setText(filename)
Logger("Filter_Events").information('Selected file: "{}"'.format(filename))
def load_File(self):
""" Load the file by file name or run number
"""
# Get file name from line editor
filename = str(self.ui.lineEdit.text())
dataws = self._loadFile(str(filename))
if dataws is None:
error_msg = 'Unable to locate run {} in default directory {}.'.format(filename, self._defaultdir)
Logger("Filter_Events").error(error_msg)
self._setErrorMsg(error_msg)
else:
self._importDataWorkspace(dataws)
self._defaultdir = os.path.dirname(str(filename))
# Reset GUI
self._resetGUI(resetfilerun=False)
def use_existWS(self):
""" Set up workspace to an existing one
"""
wsname = str(self.ui.comboBox.currentText())
try:
dataws = AnalysisDataService.retrieve(wsname)
self._importDataWorkspace(dataws)
except KeyError:
pass
# Reset GUI
self._resetGUI(resetfilerun=True)
def plotLogValue(self):
""" Plot log value
"""
# Get log value
logname = str(self.ui.comboBox_2.currentText())
if len(logname) == 0:
# return due to the empty one is chozen
return
samplelog = self._dataWS.getRun().getProperty(logname)
vectimes = samplelog.times
vecvalue = samplelog.value
# check
if len(vectimes) == 0:
error_msg = "Empty log!"
Logger("Filter_Events").error(error_msg)
# Convert absolute time to relative time in seconds
t0 = self._dataWS.getRun().getProperty("proton_charge").times[0]
# append 1 more log if original log only has 1 value
tf = self._dataWS.getRun().getProperty("proton_charge").times[-1]
vectimes = numpy.append(vectimes, tf)
vecvalue = numpy.append(vecvalue, vecvalue[-1])
vecreltimes = (vectimes - t0) / numpy.timedelta64(1, 's')
# Set to plot
xlim = [vecreltimes.min(), vecreltimes.max()]
ylim = [vecvalue.min(), vecvalue.max()]
self.ui.mainplot.set_xlim(xlim[0], xlim[1])
self.ui.mainplot.set_ylim(ylim[0], ylim[1])
setp(self.mainline, xdata=vecreltimes, ydata=vecvalue)
samunit = samplelog.units
if len(samunit) == 0:
ylabel = logname
else:
ylabel = "%s (%s)" % (logname, samunit)
self.ui.mainplot.set_ylabel(ylabel, fontsize=13)
# assume that all logs are on almost same X-range. Only Y need to be reset
setp(self.leftslideline, ydata=ylim)
setp(self.rightslideline, ydata=ylim)
# reset the log value limit as previous one does not make any sense
setp(self.lowerslideline, xdata=xlim, ydata=[ylim[0], ylim[0]])
self._lowerSlideValue = 0
self.ui.verticalSlider_2.setValue(self._lowerSlideValue)
self.ui.lineEdit_5.setText("")
setp(self.upperslideline, xdata=xlim, ydata=[ylim[1], ylim[1]])
self._upperSlideValue = 100
self.ui.verticalSlider.setValue(self._upperSlideValue)
self.ui.lineEdit_6.setText("")
self.canvas.draw()
# Load property's statistic and give suggestion on parallel and fast log
timeavg = samplelog.timeAverageValue()
numentries = samplelog.size()
stat = samplelog.getStatistics()
duration = stat.duration
mean = stat.mean
freq = float(numentries)/float(duration)
self.ui.label_mean.show()
self.ui.label_meanvalue.show()
self.ui.label_avg.show()
self.ui.label_timeAvgValue.show()
self.ui.label_freq.show()
self.ui.label_freqValue.show()
self.ui.label_logname.show()
self.ui.label_lognamevalue.show()
self.ui.label_logsize.show()
self.ui.label_logsizevalue.show()
self.ui.label_meanvalue.setText("%.5e" % (mean))
self.ui.label_timeAvgValue.setText("%.5e" % (timeavg))
self.ui.label_freqValue.setText("%.5e" % (freq))
self.ui.label_lognamevalue.setText(logname)
self.ui.label_logsizevalue.setText(str(numentries))
# Set suggested processing scheme
if numentries > HUGE_FAST:
self.ui.checkBox_fastLog.setCheckState(True)
if numentries > HUGE_PARALLEL:
self.ui.checkBox_doParallel.setCheckState(True)
else:
self.ui.checkBox_doParallel.setCheckState(False)
else:
self.ui.checkBox_fastLog.setCheckState(False)
self.ui.checkBox_doParallel.setCheckState(False)
return
def _importDataWorkspace(self, dataws):
""" Import data workspace for filtering
"""
if dataws is None:
return
# Plot time counts
errmsg = self._plotTimeCounts(dataws)
if errmsg is not None:
errmsg = 'Workspace {} has invalid sample logs for splitting. Loading \
failure! \n{}\n'.format(dataws, errmsg)
self._setErrorMsg(errmsg)
return False
# Import log
self._sampleLogNames = [""]
run = dataws.getRun()
plist = run.getProperties()
for p in plist:
try:
times = p.times
if len(times) > 1 and numpy.isreal(p.value[0]):
self._sampleLogNames.append(p.name)
# This is here for FloatArrayProperty. If a log value is of this type it does not have times
except AttributeError:
pass
# ENDFOR(p)
# Set up sample log
self.ui.comboBox_2.clear()
self.ui.comboBox_2.addItems(self._sampleLogNames)
# Side information
self.ui.label_mean.hide()
self.ui.label_meanvalue.hide()
self.ui.label_avg.hide()
self.ui.label_timeAvgValue.hide()
self.ui.label_freq.hide()
self.ui.label_freqValue.hide()
# Hide 'log name' above the graphic view
self.ui.label_logname.hide()
self.ui.label_lognamevalue.hide()
# Set dataws to class variable
self._dataWS = dataws
return True
def scanEventWorkspaces(self):
"""
"""
wsnames = AnalysisDataService.getObjectNames()
eventwsnames = []
for wsname in wsnames:
wksp = AnalysisDataService.retrieve(wsname)
if wksp.__class__.__name__.count("Event") == 1:
eventwsnames.append(wsname)
# ENDFOR
if len(eventwsnames) > 0:
self.ui.comboBox.clear()
self.ui.comboBox.addItems(eventwsnames)
def _loadFile(self, filename):
""" Load file or run
File will be loaded to a workspace shown in MantidPlot
"""
config = ConfigService
# Check input file name and output workspace name
if filename.isdigit() is True:
# Construct a file name from run number
runnumber = int(filename)
if runnumber <= 0:
error_msg = 'Run number cannot be less or equal to zero. User gives {}.'.format(filename)
Logger("Filter_Events").error(error_msg)
return None
else:
ishort = config.getInstrument(self._instrument).shortName()
filename = '{}_{}'.format(ishort, filename)
wsname = filename + "_event"
elif filename.count(".") > 0:
# A proper file name
wsname = os.path.splitext(os.path.split(filename)[1])[0]
elif filename.count("_") == 1:
# A short one as instrument_runnumber
iname = filename.split("_")[0]
str_runnumber = filename.split("_")[1]
if str_runnumber.isdigit() is True and int(str_runnumber) > 0:
# Accepted format
ishort = config.getInstrument(iname).shortName()
wsname = '{}_{}_event'.format(ishort, str_runnumber)
else:
# Non-supported
error_msg = 'File name / run number in such format {} is not supported.'.format(filename)
Logger("Filter_Events").error(error_msg)
return None
else:
# Unsupported format
error_msg = 'File name / run number in such format {} is not supported.'.format(filename)
Logger("Filter_Events").error(error_msg)
return None
# Load
try:
ws = api.Load(Filename=filename, OutputWorkspace=wsname)
except RuntimeError as e:
ws = None
return str(e)
return ws
def _plotTimeCounts(self, wksp):
""" Plot time/counts
"""
import datetime
# Rebin events by pulse time
try:
# Get run start and run stop
if wksp.getRun().hasProperty("run_start"):
runstart = wksp.getRun().getProperty("run_start").value
else:
runstart = wksp.getRun().getProperty("proton_charge").times[0]
runstop = wksp.getRun().getProperty("proton_charge").times[-1]
runstart = str(runstart).split(".")[0].strip()
runstop = str(runstop).split(".")[0].strip()
t0 = datetime.datetime.strptime(runstart, "%Y-%m-%dT%H:%M:%S")
tf = datetime.datetime.strptime(runstop, "%Y-%m-%dT%H:%M:%S")
# Calculate
dt = tf-t0
timeduration = dt.days*3600*24 + dt.seconds
timeres = float(timeduration)/MAXTIMEBINSIZE
if timeres < 1.0:
timeres = 1.0
sumwsname = '_Summed_{}'.format(wksp)
if AnalysisDataService.doesExist(sumwsname) is False:
sumws = api.SumSpectra(InputWorkspace=wksp, OutputWorkspace=sumwsname)
sumws = api.RebinByPulseTimes(InputWorkspace=sumws, OutputWorkspace=sumwsname,
Params='{}'.format(timeres))
sumws = api.ConvertToPointData(InputWorkspace=sumws, OutputWorkspace=sumwsname)
else:
sumws = AnalysisDataService.retrieve(sumwsname)
except RuntimeError as e:
return str(e)
vecx = sumws.readX(0)
vecy = sumws.readY(0)
xmin = min(vecx)
xmax = max(vecx)
ymin = min(vecy)
ymax = max(vecy)
# Reset graph
self.ui.mainplot.set_xlim(xmin, xmax)
self.ui.mainplot.set_ylim(ymin, ymax)
self.ui.mainplot.set_xlabel('Time (seconds)', fontsize=13)
self.ui.mainplot.set_ylabel('Counts', fontsize=13)
# Set up main line
setp(self.mainline, xdata=vecx, ydata=vecy)
# Reset slide
newslidery = [min(vecy), max(vecy)]
newleftx = xmin + (xmax-xmin)*self._leftSlideValue*0.01
setp(self.leftslideline, xdata=[newleftx, newleftx], ydata=newslidery)
newrightx = xmin + (xmax-xmin)*self._rightSlideValue*0.01
setp(self.rightslideline, xdata=[newrightx, newrightx], ydata=newslidery)
self.canvas.draw()
def filterByTime(self):
""" Filter by time
"""
# Generate event filters
kwargs = {}
if self.ui.lineEdit_3.text() != "":
rel_starttime = float(self.ui.lineEdit_3.text())
kwargs["StartTime"] = str(rel_starttime)
if self.ui.lineEdit_4.text() != "":
rel_stoptime = float(self.ui.lineEdit_4.text())
kwargs["StopTime"] = str(rel_stoptime)
if self.ui.lineEdit_timeInterval.text() != "":
interval = float(self.ui.lineEdit_timeInterval.text())
kwargs["TimeInterval"] = interval
splitwsname = str(self._dataWS) + "_splitters"
splitinfowsname = str(self._dataWS) + "_info"
title = str(self.ui.lineEdit_title.text())
fastLog = self.ui.checkBox_fastLog.isChecked()
splitws, infows = api.GenerateEventsFilter(InputWorkspace=self._dataWS,
UnitOfTime="Seconds",
TitleOfSplitters=title,
OutputWorkspace=splitwsname,
FastLog=fastLog,
InformationWorkspace=splitinfowsname,
**kwargs)
self.splitWksp(splitws, infows)
def filterByLogValue(self):
""" Filter by log value
"""
# Generate event filter
kwargs = {}
samplelog = str(self.ui.comboBox_2.currentText())
if len(samplelog) == 0:
error_msg = "No sample log is selected!"
Logger("Filter_Events").error(error_msg)
return
if self.ui.lineEdit_3.text() != "":
rel_starttime = float(self.ui.lineEdit_3.text())
kwargs["StartTime"] = str(rel_starttime)
if self.ui.lineEdit_4.text() != "":
rel_stoptime = float(self.ui.lineEdit_4.text())
kwargs["StopTime"] = str(rel_stoptime)
if self.ui.lineEdit_5.text() != "":
minlogvalue = float(self.ui.lineEdit_5.text())
kwargs["MinimumLogValue"] = minlogvalue
if self.ui.lineEdit_6.text() != "":
maxlogvalue = float(self.ui.lineEdit_6.text())
kwargs["MaximumLogValue"] = maxlogvalue
if self.ui.lineEdit_7.text() != "":
logvalueintv = float(self.ui.lineEdit_7.text())
kwargs["LogValueInterval"] = logvalueintv
logvalchangedir = str(self.ui.comboBox_4.currentText())
kwargs["FilterLogValueByChangingDirection"] = logvalchangedir
if self.ui.lineEdit_9.text() != "":
logvalueintv = float(self.ui.lineEdit_9.text())
kwargs["TimeTolerance"] = logvalueintv
logboundtype = str(self.ui.comboBox_5.currentText())
kwargs["LogBoundary"] = logboundtype
if self.ui.lineEdit_8.text() != "":
logvaluetol = float(self.ui.lineEdit_8.text())
kwargs["LogValueTolerance"] = logvaluetol
splitwsname = str(self._dataWS) + "_splitters"
splitinfowsname = str(self._dataWS) + "_info"
fastLog = self.ui.checkBox_fastLog.isChecked()
title = str(self.ui.lineEdit_title.text())
splitws, infows = api.GenerateEventsFilter(InputWorkspace=self._dataWS,
UnitOfTime="Seconds",
TitleOfSplitters=title,
OutputWorkspace=splitwsname,
LogName=samplelog,
FastLog=fastLog,
InformationWorkspace=splitinfowsname,
**kwargs)
try:
self.splitWksp(splitws, infows)
except RuntimeError as e:
self._setErrorMsg("Splitting Failed!\n %s" % (str(e)))
def splitWksp(self, splitws, infows):
""" Run FilterEvents
"""
dogroupws = self.ui.checkBox_groupWS.isChecked()
filterbypulse = self.ui.checkBox_filterByPulse.isChecked()
startfrom1 = self.ui.checkBox_from1.isChecked()
splitsamplelog = self.ui.checkBox_splitLog.isChecked()
corr2sample = str(self.ui.comboBox_tofCorr.currentText())
how2skip = str(self.ui.comboBox_skipSpectrum.currentText())
kwargs = {}
if corr2sample == "Direct":
ei = float(self.ui.lineEdit_Ei.text())
kwargs["IncidentEnergy"] = ei
elif corr2sample == "Customized":
corrws = str(self.ui.comboBox_corrWS.currentText())
kwargs["DetectorTOFCorrectionWorkspace"] = corrws
# Output workspace name
outbasewsname = str(self.ui.lineEdit_outwsname.text())
if len(outbasewsname) == 0:
outbasewsname = "tempsplitted"
self.ui.lineEdit_outwsname.setText(outbasewsname)
api.FilterEvents(InputWorkspace=self._dataWS,
SplitterWorkspace=splitws,
InformationWorkspace=infows,
OutputWorkspaceBaseName=outbasewsname,
GroupWorkspaces=dogroupws,
FilterByPulseTime=filterbypulse,
CorrectionToSample=corr2sample,
SpectrumWithoutDetector=how2skip,
SplitSampleLogs=splitsamplelog,
OutputWorkspaceIndexedFrom1=startfrom1,
OutputTOFCorrectionWorkspace='TOFCorrTable', **kwargs)
def showHideEi(self):
"""
"""
corrtype = str(self.ui.comboBox_tofCorr.currentText())
# Incident energy
if corrtype == "Direct":
self.ui.label_Ei.show()
self.ui.lineEdit_Ei.show()
else:
self.ui.label_Ei.hide()
self.ui.lineEdit_Ei.hide()
# Workspace
if corrtype == "Customized":
self.ui.label_Ei_2.show()
self.ui.comboBox_corrWS.show()
self.ui.pushButton_refreshCorrWSList.show()
# Search for table workspace
self._searchTableWorkspaces()
else:
self.ui.label_Ei_2.hide()
self.ui.comboBox_corrWS.hide()
self.ui.pushButton_refreshCorrWSList.hide()
def _searchTableWorkspaces(self):
""" Search table workspaces and add to 'comboBox_corrWS'
"""
wsnames = AnalysisDataService.getObjectNames()
tablewsnames = []
for wsname in wsnames:
wksp = AnalysisDataService.retrieve(wsname)
if isinstance(wksp, mantid.api.ITableWorkspace):
tablewsnames.append(wsname)
# ENDFOR
self.ui.comboBox_corrWS.clear()
if len(tablewsnames) > 0:
self.ui.comboBox_corrWS.addItems(tablewsnames)
def _setErrorMsg(self, errmsg):
""" Clear error message
"""
self._errMsgWindow = QMessageBox()
self._errMsgWindow.setIcon(QMessageBox.Critical)
self._errMsgWindow.setWindowTitle('Error')
self._errMsgWindow.setStandardButtons(QMessageBox.Ok)
self._errMsgWindow.setText(errmsg)
result = self._errMsgWindow.exec_()
return result
def helpClicked(self):
try:
from pymantidplot.proxies import showCustomInterfaceHelp
showCustomInterfaceHelp("Filter Events")
except ImportError:
url = ("http://docs.mantidproject.org/nightly/interfaces/{}.html"
"".format("Filter Events"))
QDesktopServices.openUrl(QUrl(url))
def _resetGUI(self, resetfilerun=False):
""" Reset GUI including all text edits and etc.
"""
if resetfilerun is True:
self.ui.lineEdit.clear()
# Plot related
self.ui.lineEdit_3.clear()
self.ui.lineEdit_4.clear()
self.ui.horizontalSlider.setValue(0)
self.ui.horizontalSlider_2.setValue(100)
self.ui.lineEdit_outwsname.clear()
self.ui.lineEdit_title.clear()
# Filter by log value
self.ui.lineEdit_5.clear()
self.ui.lineEdit_6.clear()
self.ui.verticalSlider_2.setValue(0)
self.ui.verticalSlider.setValue(100)
ylim = self.ui.mainplot.get_ylim()
miny = ylim[0]
maxy = ylim[1]
xlim = self.ui.mainplot.get_xlim()
setp(self.lowerslideline, xdata=xlim, ydata=[miny, miny])
setp(self.upperslideline, xdata=xlim, ydata=[maxy, maxy])
self.ui.lineEdit_7.clear()
self.ui.lineEdit_8.clear()
self.ui.lineEdit_9.clear()
# Filter by time
self.ui.lineEdit_timeInterval.clear()
# Advanced setup
self.ui.comboBox_tofCorr.setCurrentIndex(0)
self.ui.lineEdit_Ei.clear()
self.ui.checkBox_fastLog.setCheckState(False)
self.ui.checkBox_doParallel.setCheckState(False)
self.ui.comboBox_skipSpectrum.setCurrentIndex(0)
self.ui.checkBox_filterByPulse.setCheckState(False)
self.ui.checkBox_from1.setCheckState(False)
self.ui.checkBox_groupWS.setCheckState(True)
self.ui.checkBox_splitLog.setCheckState(False)
self.canvas.draw()
class HistoricalViewerApp:
line_styles = ["solid"]
colors = [
(0.0, 0.0, 1.0, 1.0), #Blue
(1.0, 0.0, 0.0, 1.0), #Red
(0.0, 1.0, 0.0, 1.0), #Green
(1.0, 1.0, 0.0, 1.0)
]
def __init__(self, width, height):
self.path = config.find_options("general.cfg")['database']
self.descriptors = config.find_graphs("graphs.cfg")
self.data = {}
self.collections = {}
self.nav_collections = {}
self.color_map = {}
self.connection = sql.connect(self.path, detect_types=(sql.PARSE_COLNAMES|sql.PARSE_DECLTYPES))
self.root = Tk.Tk()
self.root.wm_title("Historical Data Viewer")
self.intervals = self.connection.execute("SELECT * FROM intervals ORDER BY start;").fetchall()
self.intervals = list(reversed(self.intervals))
#Grid layout:
# Col 0 Col 1
# +------------+------+
# Row 0 | | ITVL |
# | ZOOM | SLCT |
# | - -GRAPH- -+------+
# Row 1 | | DATA |
# | | SLCT |
# +------------+------+
# Row 2 | NAV GRAPH | ZOOM |
# | | SLCT |
# +------------+------+
#Setup for the Tk/Agg plotting backend
self.figure = Figure(figsize = (width+1, height+2), dpi = 100)
self.figure.subplots_adjust(bottom=0.15)
self.axes = self.figure.add_subplot(111, autoscale_on=True)
self.axes.xaxis.labelpad *= 3
self.canvas = FigureCanvasTkAgg(self.figure, master=self.root)
self.canvas.get_tk_widget().grid(row=0, column=0, rowspan=2)
#Setup for the mini-navigation figure
self.nav_figure = Figure(figsize = ((width+1)*1.05, 1.8), dpi = 100)
self.nav_figure.subplots_adjust(bottom=0.3)
self.nav_axes = self.nav_figure.add_subplot(111, autoscale_on=False)
self.nav_axes.xaxis.labelpad *= 2
self.nav_span = self.nav_axes.axvspan(0.0,1.0, facecolor='g', alpha=0.5)
self.nav_handle1 = self.nav_axes.axvspan(0.00,0.025, facecolor='black', alpha=0.5)
self.nav_handle2 = self.nav_axes.axvspan(0.975,1.00, facecolor='black', alpha=0.5)
self.nav_canvas = FigureCanvasTkAgg(self.nav_figure, master=self.root)
self.nav_canvas.get_tk_widget().grid(row=2, column=0)
#Set the z-order to something high so that it works as an overlay
self.nav_span.zorder = 1000
self.nav_handle1.zorder = 1001
self.nav_handle2.zorder = 1001
## self.nav_axes.xaxis.set_major_locator(ticker.NullLocator())
self.nav_axes.yaxis.set_major_locator(ticker.NullLocator())
#Setup for the choosing the interval we want to examine
self.interval_frame = Tk.Frame(self.root)
self.interval_frame.grid(row=0, column=1, sticky=N+E)
picker_label = Tk.Label(self.interval_frame, text="Data Intervals")
picker_label.grid(row=0, column=0, sticky=N)
self.interval_picker = Tk.Listbox(self.interval_frame,
selectmode=Tk.BROWSE,
exportselection=0)
self.interval_picker.grid(row=1, column=0, sticky=N+W+E)
width = 20
for (name, start, end) in self.intervals:
string = format_span(start, end)
width = max(width, len(string))
self.interval_picker.insert(Tk.END, string)
self.interval_picker.config(width=width)
self.interval_picker.bind("<Double-Button-1>", self.select_interval)
self.interval_scrollbar = Tk.Scrollbar(self.interval_frame, command=self.interval_picker.yview)
self.interval_picker.config(yscrollcommand=self.interval_scrollbar.set)
self.interval_scrollbar.grid(row=1, column=1, sticky=N+S+W)
picker_button = Tk.Button(self.interval_frame,
text="Select interval",
command=self.select_interval)
picker_button.grid(row=2, column=0, sticky=N+W)
#----Variables for picking the table from the database--------------
self.source_frame = Tk.Frame(self.root)
self.source_frame.config(relief=Tk.GROOVE,
borderwidth=2)
self.source_frame.grid(row=1, column=1, sticky=N+W+E+S)
source_label = Tk.Label(self.source_frame, text="Show/Hide plots")
source_label.grid(column=0, columnspan=2, sticky=N)
def set_var_callback(cb, data, checkbutton, var=None):
if var is None:
var = Tk.IntVar()
def wrapper_callback():
var.set(var.get())
return cb(data, var.get())
checkbutton.config(variable=var,
command=wrapper_callback)
self.checkbuttons = []
for i,desc in enumerate(self.descriptors):
checkbutton = Tk.Checkbutton(self.source_frame,
text=desc.title)
toggle = Tk.Checkbutton(self.source_frame, text=" ")
color = self.colors[i % len(self.colors)]
checkbutton.config(relief=Tk.SUNKEN,
indicatoron=False)
toggle.config(indicatoron=False,
background=tk_color(lighten(color)),
highlightbackground=tk_color(color),
activebackground=tk_color(color),
selectcolor=tk_color(color),
state=ACTIVE)
var = Tk.IntVar()
set_var_callback(self.toggle_source, desc, checkbutton, var)
set_var_callback(self.toggle_source, desc, toggle, var)
self.color_map[desc.table_name] = color
toggle.grid(column=0, row=i+1, sticky=N+W)
checkbutton.grid(column=1, row=i+1, sticky=N+W)
self.checkbuttons.append(checkbutton)
self.style_count = 0
self.min_y = self.descriptors[0].min_y
self.max_y = self.descriptors[0].max_y
self.grabbing_navbar = False
self.grabbing_handle = False
self.grab_start = None
self.handle_grabbed = None
self.grab_reference = None
def run(self):
self.nav_figure.canvas.mpl_connect("button_press_event", self.mpl_on_press)
self.nav_figure.canvas.mpl_connect("button_release_event", self.mpl_on_release)
self.nav_figure.canvas.mpl_connect("motion_notify_event", self.mpl_on_motion)
self.select_interval(index=0)
self.interval_picker.selection_set(first=0)
for desc, checkbutton in zip(self.descriptors, self.checkbuttons):
checkbutton.select()
self.toggle_source(desc, True)
self.root.mainloop()
def update_bounds(self):
size = to_ordinal(self.absolute_end) - to_ordinal(self.absolute_start)
x1 = to_ordinal(self.start_date)
x2 = to_ordinal(self.end_date)
self.axes.set_xbound(x1, x2)
self.nav_span.set_xy([[x1, self.min_y],
[x1, self.max_y],
[x2, self.max_y],
[x2, self.min_y],
[x1, self.min_y]])
if x1 > x2:
x1, x2 = x2, x1
self.nav_handle1.set_xy([[x1, self.min_y],
[x1, self.max_y],
[x1-size*0.025, self.max_y],
[x1-size*0.025, self.min_y],
[x1, self.min_y]])
self.nav_handle2.set_xy([[x2, self.min_y],
[x2, self.max_y],
[x2+size*0.025, self.max_y],
[x2+size*0.025, self.min_y],
[x2, self.min_y]])
locator = KenLocator(7.8)
self.axes.xaxis.set_major_locator(locator)
self.axes.xaxis.set_major_formatter(KenFormatter(locator))
self.axes.set_xlabel(format_span(self.start_date, self.end_date))
self.nav_axes.set_xlabel(format_timedelta(self.end_date-self.start_date))
def update_data(self):
for identifier in self.data:
view = self.data[identifier]
view.load(self.absolute_start, self.absolute_end)
self.collections[identifier].set_segments([view.export()])
self.nav_collections[identifier].set_segments([view.export()])
def select_interval(self, index=None):
#Support direct invocation, invocation by event, and as a command
if not isinstance(index, int):
if not self.interval_picker.curselection():
return
index = int(self.interval_picker.curselection()[0])
name, start, end = self.intervals[index]
self.absolute_start = self.start_date = start
self.absolute_end = self.end_date = end
size = to_ordinal(start) - to_ordinal(end)
self.nav_axes.set_xlim(to_ordinal(start)+size*0.025, to_ordinal(end)-size*0.025)
locator = KenLocator(7.8)
self.nav_axes.xaxis.set_major_locator(locator)
self.nav_axes.xaxis.set_major_formatter(KenFormatter(locator))
self.update_data()
self.update_bounds()
self.redraw()
def toggle_source(self, desc, enabled):
if desc.table_name in self.data:
if enabled:
data = self.data[desc.table_name].export()
self.axes.set_ylabel(desc.units)
else:
data = []
self.collections[desc.table_name].set_segments([data])
self.nav_collections[desc.table_name].set_segments([data])
self.redraw()
elif enabled:
self.axes.set_ylabel(desc.units)
self.add_source(desc.table_name, desc.title)
self.min_y = min(self.min_y, desc.min_y)
self.max_y = max(self.max_y, desc.max_y)
self.axes.set_ybound(self.min_y,self.max_y)
self.nav_axes.set_ybound(self.min_y, self.max_y)
## self.axes.legend(loc=3)
self.redraw()
def redraw(self):
self.figure.canvas.draw()
self.nav_figure.canvas.draw()
def add_source(self, identifier, title):
view = SQLIntervalView(self.connection, identifier, self.absolute_start, self.absolute_end)
self.data[identifier] = view
colors = [self.color_map.get(identifier, self.colors[0])]
col = DatetimeCollection([view.export()], colors=colors)
col.set_label(title)
self.collections[identifier] = col
col2 = DatetimeCollection([view.export()], colors=colors)
self.nav_collections[identifier] = col2
self.axes.add_collection(col)
self.nav_axes.add_collection(col2)
def mpl_on_press(self, event):
if event.button != 1 or self.grabbing_navbar or self.grabbing_handle:
return
trans = self.nav_axes.transData.inverted()
xdata = trans.transform((event.x, event.y))[0]
if self.nav_handle1.contains(event)[0]:
self.grabbing_handle = True
self.handle_grabbed = 1
self.grab_start = xdata
self.grab_reference = to_ordinal(min(self.start_date, self.end_date))
elif self.nav_handle2.contains(event)[0]:
self.grabbing_handle = True
self.handle_grabbed = 2
self.grab_start = xdata
self.grab_reference = to_ordinal(max(self.start_date, self.end_date))
elif self.nav_span.contains(event)[0]:
self.grabbing_navbar = True
self.grab_start = xdata
self.grab_reference = (to_ordinal(self.start_date),
to_ordinal(self.end_date))
def move_navbar(self, pos):
left_end = to_ordinal(self.absolute_start)
right_end = to_ordinal(self.absolute_end)
x1, x2 = self.grab_reference
if x1 > x2:
x1, x2 = x2, x1
diff = pos - self.grab_start
if diff < 0 and x1 + diff < left_end:
self.start_date = self.absolute_start
self.end_date = from_ordinal(left_end + (x2 - x1))
elif diff > 0 and x2 + diff > right_end:
self.end_date = self.absolute_end
self.start_date = from_ordinal(right_end - (x2 - x1))
else:
self.start_date = from_ordinal(x1 + diff)
self.end_date = from_ordinal(x2 + diff)
self.update_bounds()
self.redraw()
def move_handle(self, pos):
left_end = to_ordinal(self.absolute_start)
right_end = to_ordinal(self.absolute_end)
diff = pos - self.grab_start
new_pos = max(min(self.grab_reference + diff, right_end), left_end)
new_date = from_ordinal(new_pos)
if self.handle_grabbed == 1:
if new_date > self.end_date:
self.handle_grabbed = 2
self.start_date = self.end_date
self.end_date = new_date
else:
self.start_date = new_date
else:
if new_date < self.start_date:
self.handle_grabbed = 1
self.end_date = self.start_date
self.start_date = new_date
else:
self.end_date = new_date
self.update_bounds()
self.redraw()
def mpl_on_release(self, event):
if event.button != 1:
return
trans = self.nav_axes.transData.inverted()
xdata = trans.transform((event.x, event.y))[0]
if self.grabbing_navbar:
self.grabbing_navbar = False
self.move_navbar(xdata)
elif self.grabbing_handle:
self.grabbing_handle = False
self.move_handle(xdata)
def mpl_on_motion(self, event):
trans = self.nav_axes.transData.inverted()
xdata = trans.transform((event.x, event.y))[0]
if self.grabbing_navbar:
self.move_navbar(xdata)
elif self.grabbing_handle:
self.move_handle(xdata)
class Example(Frame):
def __init__(self, parent):
Frame.__init__(self, parent)
self.hsv_color = colorsys.rgb_to_hsv(0.0, 0.0, 1.0)
self.hex_color = '#0000ff'
self.color_list = ["red","blue","green","orange","purple"]
self.parent = parent
print "Loading model..."
self.lux = Lux()
fp = open(curdir+"/gauss_model.pkl"); self.gm = pickle.load(fp); fp.close()
fp = open(curdir+"/memoized_binomial_data.pkl"); self.curve_data = pickle.load(fp); fp.close()
fp = open(curdir+"/sampling_normalizer.pkl"); self.normalizer = pickle.load(fp); fp.close()
print "Creating UI"
self.initUI()
self.update_output()
self.replot()
def update_output(self):
(h, s, v) = self.hsv_color
self.hsv_var.set("Hue: \t %2.1f \nSat:\t %2.1f \nValue:\t %2.1f" % (h*360,s*100,v*100))
items = self.lux.full_posterior((h * 360, s * 100, v * 100))
self.current_post = items
desc = [ '{:<25} ({:.3f})\n'.format(items[i][0], items[i][1]) for i in range(25) ]
self.display.config(state=NORMAL)
self.display.delete(0, END)
for i in range(25): self.display.insert(END, '{:<20} ({:.3f})'.format(items[i][0], items[i][1]))
self.display.select_set(0, 0)
def plot_lux_model(self, params,ax1,label,support,dim):
cur_color='black'
mu1,sh1,sc1,mu2,sh2,sc2 = params
left_stach=gam_dist(sh1,scale=sc1); lbounds=left_stach.interval(0.99)
right_stach=gam_dist(sh2,scale=sc2); rbounds=right_stach.interval(0.99)
lx=np.linspace(mu1,-180); rx=np.linspace(mu2,360)
s=3;
ax1.plot(rx, [right_stach.sf(abs(y-mu2)) for y in rx],linewidth=s,c=cur_color);
ax1.plot([1.01*mu1,0.99*mu2], [1.,1.], linewidth=s,c=cur_color)
return ax1.plot(lx,[left_stach.sf(abs(y-mu1)) for y in lx],c=cur_color, linewidth=s);
def plot_gm_model(self, params, ax, label, support):
s=3
x = np.linspace(support[0],support[1],360)
return ax.plot(x,norm.pdf(x,params[0],params[1]),c='red', linewidth=s), norm.pdf([params[0]],params[0],[params[1]])[0]
def initUI(self):
self.parent.title("Interactive LUX visualization")
self.pack(fill=BOTH, expand=1)
self.color_frame = Frame(self, border=1)
self.color_frame.pack(side=LEFT)
probe_title_var = StringVar(); probe_title_label = Label(self.color_frame, textvariable=probe_title_var, justify=CENTER, font = "Helvetica 16 bold italic")
probe_title_var.set("Color Probe X"); probe_title_label.pack(side=TOP)
self.hsv_var = StringVar()
self.hsv_label = Label(self.color_frame, textvariable=self.hsv_var,justify=LEFT)
h,s,v = self.hsv_color
self.hsv_var.set("Hue: %2.1f \nSaturation: %2.1f \nValue: %2.1f" % (h*360,s*100,v*100))
self.hsv_label.pack(side=TOP)
self.frame = Frame(self.color_frame, border=1,
relief=SUNKEN, width=200, height=200)
self.frame.pack(side=TOP)
self.frame.config(bg=self.hex_color)
self.frame.bind("<Button-1>",self.onChoose)
self.btn = Button(self.color_frame, text="Select Color",
command=self.onChoose)
self.btn.pack(side=TOP)
posterior_title_var = StringVar(); posterior_title_label = Label(self.color_frame, textvariable=posterior_title_var, justify=CENTER, font = "Helvetica 16 bold italic")
posterior_title_var.set("\n\nLUX's Posterior"); posterior_title_label.pack(side=TOP)
Label(self.color_frame, text="Double click to show details \n(Wait time dependent on computer)").pack(side=TOP)
my_font = tkFont.Font(family="Courier", size=10)
self.display = Listbox(self.color_frame, border=1,
relief=SUNKEN, width=30, height=25, font=my_font)
self.display.pack(side=TOP,fill=Y,expand=1)
self.display.bind("<Double-Button-1>",self.onSelect)
self.display_btn = Button(self.color_frame, text="Show details", command=self.onSelect)
self.display_btn.pack(side=TOP)
self.update_output()
self.fig = Figure(figsize=(10,4), dpi=100)
self.canvas = FigureCanvasTkAgg(self.fig, master=self)
self.canvas.show()
self.canvas.get_tk_widget().pack(side=LEFT, fill=BOTH, expand=1)
self.canvas._tkcanvas.pack(side='top', fill='both', expand=1)
def replot(self):
def gb(x,i,t):
#t is max value, i in number of bins, x is the thing to be binned
if x==t:
return i-1
elif x==0.0:
return 0
return int(floor(float(x)*i/t))
hsv_title = []
j=self.display.curselection()[0]
name = self.current_post[j][0]
mult = lambda x: reduce(operator.mul, x)
g_labels = []; lux_labels=[]; all_g_params=[]
for i in range(3):
def align_yaxis(ax1, v1, ax2, v2):
"""adjust ax2 ylimit so that v2 in ax2 is aligned to v1 in ax1"""
_, y1 = ax1.transData.transform((0, v1))
_, y2 = ax2.transData.transform((0, v2))
inv = ax2.transData.inverted()
_, dy = inv.transform((0, 0)) - inv.transform((0, y1-y2))
miny, maxy = ax2.get_ylim()
ax2.set_ylim(miny, maxy+dy)
subplot = self.fig.add_subplot(4,1,i+1)
dim_label = ["H", "S","V"][i]
subplot.set_ylabel(r"$P(k^{true}_{%s}|x)$" % ["H", "S","V"][i] )
curve_data = self.curve_data[name][i]
scale = lambda x,a=0.3,b=0.9: (b-a)*(x)+a
p_x = lambda x: self.normalizer[i][gb(x,len(self.normalizer[i]),[360,100,100][i])]
max_p_x = max(self.normalizer[i])
#1 is white, 0 is black. so we want highly probable thigns to be black..
if self.lux.get_adj(self.current_post[j][0]):
support = [[-180,180], [0,100],[0,100]][i]
pp = lambda x,i: x-360 if i==0 and x>180 else x
hacky_solution = [360,100,100][i]
w = 1.5 if i==0 else 1
conv = lambda x: x*support[1]/len(curve_data)
bar_colors = ["%s" % (scale(1-p_x(conv(x))/max_p_x)) for x in range(len(curve_data))]
bar1 = subplot.bar([pp(atan2(sin((x*hacky_solution/len(curve_data))*pi/180),cos((x*hacky_solution/len(curve_data))*pi/180))*180/pi,i) for x in range(len(curve_data))],[x/max(curve_data) for x in curve_data], label="%s data" % j,ec="black",width=w,linewidth=0,color=bar_colors)
else:
support = [[0,360], [0,100],[0,100]][i]
w = 1.5 if i==0 else 1
conv = lambda x: x*support[1]/len(curve_data)
bar_colors = ["%s" % (scale(1-p_x(conv(x))/max_p_x)) for x in range(len(curve_data))]
bar1 = subplot.bar([x*support[1]/len(curve_data) for x in range(len(curve_data))],[x/max(curve_data) for x in curve_data], label="%s data" % name[0],ec="black",width=w,linewidth=0,color=bar_colors)
pp = lambda x,*args: x
point = pp(self.hsv_color[i]*[360,100,100][i],i)
hsv_title.append(point)
probeplot = subplot.plot([point,point], [0,1],linewidth=3,c='blue',label="Probe")
#for j in range(5):
lux_plot = self.plot_lux_model(self.lux.get_params(self.current_post[j][0])[i], subplot, self.current_post[j][0],support, i)
subplot2 = subplot.twinx()
gm_plot,gm_height = self.plot_gm_model([pp(g_param,i) for g_param in self.gm[self.current_post[j][0]][0][i]], subplot2, self.current_post[j][0], support)
extra = Rectangle((0, 0), 1, 1, fc="w", fill=False, edgecolor='none', linewidth=0)
subplot.legend([extra], [["Hue", "Saturation", "Value"][i]],loc=2,frameon=False)
if i==0: legend_set=lux_plot+[extra,extra,extra]+gm_plot+[extra,extra,extra]
lux_params = self.lux.get_params(self.current_post[j][0])[i]
g_params = [pp(g_param,i) for g_param in self.gm[self.current_post[j][0]][0][i]]
all_g_params.append(g_params)
g_labels.append(r"$\mu^{%s}=$%2.2f, $\sigma^{%s}$=%2.2f" % (dim_label, g_params[0],dim_label,g_params[1]))
#lux_labels.append(r"$\mu^{L,%s}=$%2.2f, $E[\tau^{L,%s}]$=%2.2f, $\alpha^{L,%s}$=%2.2f, $\beta^{L,%s}$=%2.2f, $\mu^{U,%s}=$%2.2f, $E[\tau^{L,%s}]$=%2.2f, $\alpha^{U,%s}$=%2.2f, $\beta^{U,%s}$=%2.2f" % (dim_label, lux_params[0],dim_label, (lux_params[0]-lux_params[1]*lux_params[2]),dim_label,lux_params[1],dim_label, lux_params[2],dim_label,lux_params[3],dim_label,(lux_params[3]+lux_params[4]*lux_params[5]),dim_label, lux_params[4],dim_label,lux_params[5]))
lux_labels.append(r"$\mu^{L,%s}=$%2.2f, $\alpha^{L,%s}$=%2.2f, $\beta^{L,%s}$=%2.2f, $\mu^{U,%s}=$%2.2f, $\alpha^{U,%s}$=%2.2f, $\beta^{U,%s}$=%2.2f" % (dim_label, lux_params[0],dim_label, lux_params[1],dim_label, lux_params[2],dim_label,lux_params[3],dim_label,lux_params[4],dim_label,lux_params[5]))
subplot.set_xlim(support[0],support[1])
subplot.set_ylim(0,1.05)
subplot2.set_xlim(support[0],support[1])
subplot2.set_ylabel(r"$P(x|Gaussian_{%s})$" % ["H", "S","V"][i])
align_yaxis(subplot, 1., subplot2, gm_height)
leg_loc =(0.9,0.2)
datum = [x*[360,100,100][i] for i,x in enumerate(self.hsv_color)]; phi_value = self.lux.get_phi(datum,self.current_post[j][0])
#gauss_value = mult([norm.pdf(datum[i],all_g_params[i][0],all_g_params[i][1]) for i in range(3)])
leg=self.fig.legend(probeplot+legend_set, ["Probe X"]+ [r"$\mathbf{\phi}_{%s}(X)=\mathbf{%2.5f}$; $\mathbf{\alpha}=\mathbf{%2.4f}$" % (self.current_post[j][0],phi_value,self.lux.get_avail(self.current_post[j][0]))]+lux_labels+
[r"$Normal^{Hue}_{%s}$; $prior(%s)=%2.4f$" % (self.current_post[j][0],self.current_post[j][0], self.gm[self.current_post[j][0]][2])]+[g_labels[0]+"; "+g_labels[1]+"; "+g_labels[2]]
, loc=8, handletextpad=4,labelspacing=0.1)
self.fig.suptitle("%s" % name, size=30)
print "done replotting"
def onChoose(self, *args):
try:
((red,green,blue), hx) = tkColorChooser.askcolor()
except:
print "I think you hit cancel"
return
self.hex_color = hx
self.hsv_color = colorsys.rgb_to_hsv(red/255.0, green/255.0, blue/255.0)
self.frame.config(bg=hx)
self.update_output()
self.fig.clear()
self.replot()
self.canvas.draw()
def onSelect(self, *args):
self.fig.clear()
self.replot()
self.canvas.draw()
def plot(
self,
cmap: str = "viridis",
interpolation: str = "none",
title: str = None,
colorbar: bool = True,
labels: bool = True,
display_names: bool = False,
ax: plt.Figure = None,
) -> plt.Figure:
"""Plot the results of the spatial tournament.
Parameters
----------
cmap : str, optional
A matplotlib colour map, full list can be found at
http://matplotlib.org/examples/color/colormaps_reference.html
interpolation : str, optional
A matplotlib interpolation, full list can be found at
http://matplotlib.org/examples/images_contours_and_fields/interpolation_methods.html
title : str, optional
A title for the plot
colorbar : bool, optional
Choose whether the colorbar should be included or not
labels : bool, optional
Choose whether the axis labels and ticks should be included
display_names : bool, optional
Choose whether to display the names of the strategies
ax: matplotlib axis
Allows the plot to be written to a given matplotlib axis.
Default is None.
Returns
----------
figure : matplotlib figure
A heat plot of the results of the spatial tournament
"""
if ax is None:
fig, ax = plt.subplots()
else:
ax = ax
fig = ax.get_figure()
mat = ax.imshow(self.data, cmap=cmap, interpolation=interpolation)
width = len(self.data) / 2
height = width
fig.set_size_inches(width, height)
plt.xlabel("turns")
ax.tick_params(axis="both", which="both", length=0)
if display_names:
plt.yticks(
range(len(self.opponents)), [str(player) for player in self.opponents]
)
else:
plt.yticks([0, len(self.opponents) - 1], [0, 1])
plt.ylabel("Probability of cooperation")
if not labels:
plt.axis("off")
if title is not None:
plt.title(title)
if colorbar:
max_score = 0
min_score = 1
ticks = [min_score, 1 / 2, max_score]
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.2)
cbar = fig.colorbar(mat, cax=cax, ticks=ticks)
plt.tight_layout()
return fig
class ChartDialog(wx.Dialog):
"""Chart dialog frontend to matplotlib"""
chart_types = [
"plot"
]
def __init__(self, parent, *args, **kwargs):
wx.Dialog.__init__(self, parent, -1, _("Insert chart"), *args,
size=(900, 700), style=wx.RESIZE_BORDER, **kwargs)
self.splitter = wx.SplitterWindow(self, -1, style=wx.SP_LIVE_UPDATE)
self.splitter.parent = self
# Create a CustomTreeCtrl instance
self.tree = ChartTree(self.splitter, style=wx.BORDER_SUNKEN)
self.figure_panel = FigurePanel(self.splitter)
# Dummy figure
self.figure = Figure(facecolor='white')
ax = self.figure.add_subplot(111)
ax.xaxis.set_picker(5)
ax.xaxis.name = "xaxis"
ax.yaxis.set_picker(5)
ax.yaxis.name = "yaxis"
plt = ax.plot([(x/10.0)**2 for x in xrange(1000)], picker=5)
plt[-1].name = "test"
self.figure_panel.update(self.figure)
# Split Window
self.splitter.SplitVertically(self.tree, self.figure_panel)
self.splitter.SetMinimumPaneSize(10)
self.splitter.SetSashPosition(400)
# Buttons
self.button_add = wx.Button(self, wx.ID_ADD)
self.button_remove = wx.Button(self, wx.ID_REMOVE)
self.button_cancel = wx.Button(self, wx.ID_CANCEL)
self.button_ok = wx.Button(self, wx.ID_OK)
self.button_add.Bind(wx.EVT_BUTTON, self.OnAdd)
self._layout()
def _layout(self):
"""Sizer layout"""
left_sizer = wx.FlexGridSizer(cols=1)
left_button_sizer = wx.FlexGridSizer(cols=5)
left_sizer.Add(self.splitter, 0, wx.EXPAND)
left_sizer.Add(left_button_sizer, 0, wx.EXPAND)
left_button_sizer.Add(self.button_add, 1, wx.EXPAND | wx.ALL, 4)
left_button_sizer.Add(self.button_remove, 1, wx.EXPAND | wx.ALL, 4)
left_button_sizer.Add(wx.Panel(self, -1), 1, wx.EXPAND | wx.ALL, 4)
left_button_sizer.Add(self.button_cancel, 1, wx.EXPAND | wx.ALL, 4)
left_button_sizer.Add(self.button_ok, 1, wx.EXPAND | wx.ALL, 4)
left_sizer.AddGrowableRow(0)
left_sizer.AddGrowableCol(0)
left_button_sizer.AddGrowableCol(2)
self.SetSizer(left_sizer)
self.Layout()
def add_chart(self, chart_type):
"""Adds chart to figure after current position in the tree"""
self.tree.add_chart(chart_type)
# Event handlers
def OnAdd(self, event):
"""Add button event handler"""
dlg = wx.SingleChoiceDialog(self, _('Add chart to figure'),
_('Select chart type'),
self.chart_types,
wx.CHOICEDLG_STYLE)
if dlg.ShowModal() == wx.ID_OK:
self.add_chart(dlg.GetStringSelection())
dlg.Destroy()
class Example(Frame):
def __init__(self, parent):
Frame.__init__(self, parent)
self.hsv_color = colorsys.rgb_to_hsv(0.0, 0.0, 1.0)
self.hex_color = '#0000ff'
self.color_list = ["red","blue","green","orange","purple"]
self.parent = parent
print "Getting Model"
self.lux = lux.LUX("lux.xml")
print "Creating UI"
self.initUI()
self.update_output()
def update_output(self):
(h, s, v) = self.hsv_color
items = self.lux.full_posterior((h * 360, s * 100, v * 100))
self.current_post = items
desc = [ '{} ({:.3f})\n'.format(items[i][0], items[i][1]) for i in range(25) ]
self.display.config(state=NORMAL)
self.display.delete(1.0, END)
self.display.insert(END, ''.join(desc))
self.display.config(state=DISABLED)
def make_plotter(self, params,ax1,label,cur_color,support):
mu1,sh1,sc1,mu2,sh2,sc2 = params
left_stach=gam_dist(sh1,scale=sc1); lbounds=left_stach.interval(0.99)
right_stach=gam_dist(sh2,scale=sc2); rbounds=right_stach.interval(0.99)
lx=np.linspace(mu1,-180); rx=np.linspace(mu2,360)
s=3; #cur_color='black'
ax1.plot(rx, [1-right_stach.cdf(abs(y-mu2)) for y in rx],linewidth=s,c=cur_color);
ax1.plot([1.01*mu1,0.99*mu2], [1,1], linewidth=s,c=cur_color)
return ax1.plot(lx,[1-left_stach.cdf(abs(y-mu1)) for y in lx],c=cur_color, label=r"$\phi^{Hue}_{%s}$" % label,linewidth=s);
def initUI(self):
self.parent.title("Interactive LUX visualization")
self.pack(fill=BOTH, expand=1)
self.color_frame = Frame(self, border=1)
self.color_frame.pack(side=LEFT)
self.frame = Frame(self.color_frame, border=1,
relief=SUNKEN, width=100, height=100)
#self.frame.place(x=160, y=30)
self.frame.pack(side=TOP)
self.frame.config(bg=self.hex_color)
self.btn = Button(self.color_frame, text="Select Color",
command=self.onChoose)
self.btn.pack(side=TOP)
#self.btn.place(x=30, y=30)
self.display = Text(self, border=1,
relief=SUNKEN, width=30, height=5)
#self.display.place(x=280, y=30)
self.display.pack(side=LEFT,fill=Y,expand=1)
self.update_output()
self.fig = Figure(figsize=(10,4), dpi=100)
self.replot()
self.canvas = FigureCanvasTkAgg(self.fig, master=self)
self.canvas.show()
self.canvas.get_tk_widget().pack(side=LEFT, fill=BOTH, expand=1)
self.canvas._tkcanvas.pack(side='top', fill='both', expand=1)
def replot(self):
hsv_title = []
for i in range(3):
if self.lux.get_adj(self.current_post[0][0]):
support = [[-180,180], [0,100],[0,100]][i]
pp = lambda x,i: x-360 if i==0 and x>180 else x
else:
support = [[0,360], [0,100],[0,100]][i]
pp = lambda x,*args: x
subplot = self.fig.add_subplot(3,1,i+1)
subplot.set_xlim(support[0],support[1])
subplot.set_ylabel("%s" % ["Hue", "Saturation","Value"][i])
point = pp(self.hsv_color[i]*[360,100,100][i],i)
hsv_title.append(point)
probeplot = subplot.plot([point,point], [0,1],linewidth=3,c='black',label="Probe")
legend_set = []
for j in range(5):
test = self.make_plotter(self.lux.get_params(self.current_post[j][0])[i], subplot, self.current_post[j][0],self.color_list[j],support)
if type(test)==type([]): legend_set+=test
else: legend_set.append(test)
self.fig.legend(legend_set, [r"$\phi_{%s}$; $\alpha=%2.4f$" % (x[0],self.lux.get_avail(x[0])) for x in self.current_post[:5]], loc=1)
self.fig.suptitle("HSV (%2.2f,%2.2f,%2.2f) top 5 Phi curves" % (hsv_title[0],hsv_title[1],hsv_title[2]))
def onChoose(self):
((red,green,blue), hx) = tkColorChooser.askcolor()
self.hex_color = hx
self.hsv_color = colorsys.rgb_to_hsv(red/255.0, green/255.0, blue/255.0)
self.frame.config(bg=hx)
self.update_output()
self.fig.clear()
self.replot()
self.canvas.draw()
def __init__(self, width, height):
self.path = config.find_options("general.cfg")['database']
self.descriptors = config.find_graphs("graphs.cfg")
self.data = {}
self.collections = {}
self.nav_collections = {}
self.color_map = {}
self.connection = sql.connect(self.path, detect_types=(sql.PARSE_COLNAMES|sql.PARSE_DECLTYPES))
self.root = Tk.Tk()
self.root.wm_title("Historical Data Viewer")
self.intervals = self.connection.execute("SELECT * FROM intervals ORDER BY start;").fetchall()
self.intervals = list(reversed(self.intervals))
#Grid layout:
# Col 0 Col 1
# +------------+------+
# Row 0 | | ITVL |
# | ZOOM | SLCT |
# | - -GRAPH- -+------+
# Row 1 | | DATA |
# | | SLCT |
# +------------+------+
# Row 2 | NAV GRAPH | ZOOM |
# | | SLCT |
# +------------+------+
#Setup for the Tk/Agg plotting backend
self.figure = Figure(figsize = (width+1, height+2), dpi = 100)
self.figure.subplots_adjust(bottom=0.15)
self.axes = self.figure.add_subplot(111, autoscale_on=True)
self.axes.xaxis.labelpad *= 3
self.canvas = FigureCanvasTkAgg(self.figure, master=self.root)
self.canvas.get_tk_widget().grid(row=0, column=0, rowspan=2)
#Setup for the mini-navigation figure
self.nav_figure = Figure(figsize = ((width+1)*1.05, 1.8), dpi = 100)
self.nav_figure.subplots_adjust(bottom=0.3)
self.nav_axes = self.nav_figure.add_subplot(111, autoscale_on=False)
self.nav_axes.xaxis.labelpad *= 2
self.nav_span = self.nav_axes.axvspan(0.0,1.0, facecolor='g', alpha=0.5)
self.nav_handle1 = self.nav_axes.axvspan(0.00,0.025, facecolor='black', alpha=0.5)
self.nav_handle2 = self.nav_axes.axvspan(0.975,1.00, facecolor='black', alpha=0.5)
self.nav_canvas = FigureCanvasTkAgg(self.nav_figure, master=self.root)
self.nav_canvas.get_tk_widget().grid(row=2, column=0)
#Set the z-order to something high so that it works as an overlay
self.nav_span.zorder = 1000
self.nav_handle1.zorder = 1001
self.nav_handle2.zorder = 1001
## self.nav_axes.xaxis.set_major_locator(ticker.NullLocator())
self.nav_axes.yaxis.set_major_locator(ticker.NullLocator())
#Setup for the choosing the interval we want to examine
self.interval_frame = Tk.Frame(self.root)
self.interval_frame.grid(row=0, column=1, sticky=N+E)
picker_label = Tk.Label(self.interval_frame, text="Data Intervals")
picker_label.grid(row=0, column=0, sticky=N)
self.interval_picker = Tk.Listbox(self.interval_frame,
selectmode=Tk.BROWSE,
exportselection=0)
self.interval_picker.grid(row=1, column=0, sticky=N+W+E)
width = 20
for (name, start, end) in self.intervals:
string = format_span(start, end)
width = max(width, len(string))
self.interval_picker.insert(Tk.END, string)
self.interval_picker.config(width=width)
self.interval_picker.bind("<Double-Button-1>", self.select_interval)
self.interval_scrollbar = Tk.Scrollbar(self.interval_frame, command=self.interval_picker.yview)
self.interval_picker.config(yscrollcommand=self.interval_scrollbar.set)
self.interval_scrollbar.grid(row=1, column=1, sticky=N+S+W)
picker_button = Tk.Button(self.interval_frame,
text="Select interval",
command=self.select_interval)
picker_button.grid(row=2, column=0, sticky=N+W)
#----Variables for picking the table from the database--------------
self.source_frame = Tk.Frame(self.root)
self.source_frame.config(relief=Tk.GROOVE,
borderwidth=2)
self.source_frame.grid(row=1, column=1, sticky=N+W+E+S)
source_label = Tk.Label(self.source_frame, text="Show/Hide plots")
source_label.grid(column=0, columnspan=2, sticky=N)
def set_var_callback(cb, data, checkbutton, var=None):
if var is None:
var = Tk.IntVar()
def wrapper_callback():
var.set(var.get())
return cb(data, var.get())
checkbutton.config(variable=var,
command=wrapper_callback)
self.checkbuttons = []
for i,desc in enumerate(self.descriptors):
checkbutton = Tk.Checkbutton(self.source_frame,
text=desc.title)
toggle = Tk.Checkbutton(self.source_frame, text=" ")
color = self.colors[i % len(self.colors)]
checkbutton.config(relief=Tk.SUNKEN,
indicatoron=False)
toggle.config(indicatoron=False,
background=tk_color(lighten(color)),
highlightbackground=tk_color(color),
activebackground=tk_color(color),
selectcolor=tk_color(color),
state=ACTIVE)
var = Tk.IntVar()
set_var_callback(self.toggle_source, desc, checkbutton, var)
set_var_callback(self.toggle_source, desc, toggle, var)
self.color_map[desc.table_name] = color
toggle.grid(column=0, row=i+1, sticky=N+W)
checkbutton.grid(column=1, row=i+1, sticky=N+W)
self.checkbuttons.append(checkbutton)
self.style_count = 0
self.min_y = self.descriptors[0].min_y
self.max_y = self.descriptors[0].max_y
self.grabbing_navbar = False
self.grabbing_handle = False
self.grab_start = None
self.handle_grabbed = None
self.grab_reference = None
class DoubleSliderTestApp:
def __init__(self, width, height):
self.root = Tk.Tk()
self.root.wm_title("Double Slider Test")
self.plot = Figure(figsize = (width+1, height+2), dpi=72)
self.axes = self.plot.add_subplot(111)
self.canvas = FigureCanvasTkAgg(self.plot, master=self.root)
self.canvas.get_tk_widget().grid(row=0)
self.nav_plot = Figure(figsize = (width+1, 2), dpi=72)
self.nav_axes = self.nav_plot.add_subplot(111)
self.nav_canvas = FigureCanvasTkAgg(self.nav_plot, master=self.root)
self.nav_canvas.get_tk_widget().grid(row=1)
self.nav_plot.subplots_adjust(bottom=0.2)
self.agg_canvas = self.nav_canvas.get_tk_widget()
self.slider = DoubleSlider(self.root, round=lambda x: round(x, 2),
left_bound=2.0, right_bound=3.0)
self.slider.grid(row=2, sticky=Tk.W+Tk.E+Tk.N+Tk.S)
data = [(2.0, 0.6), (2.1, 0.9), (2.2, 0.7), (2.3, 0.8), (2.4, 0.5),
(2.6, 0.2), (2.7, 0.3), (2.8, 0.6), (2.9, 0.4), (3.0, 0.1)]
self.axes.set_xbound(2.0, 3.0)
self.axes.add_collection(LineCollection([data]))
self.nav_axes.set_xbound(2.0, 3.0)
self.nav_axes.add_collection(LineCollection([data]))
def run(self):
self.plot.canvas.draw()
self.nav_plot.canvas.draw()
left_pad = self.nav_plot.subplotpars.left * self.nav_plot.get_figwidth() * self.nav_plot.dpi
right_pad = (1-self.nav_plot.subplotpars.right) * self.nav_plot.get_figwidth() * self.nav_plot.dpi
self.slider.config(left_padding=left_pad,
right_padding=right_pad)
def update_limits(left, right):
self.agg_canvas.delete("OVERLAY")
trans = blended_transform_factory(self.nav_axes.transData,
self.nav_axes.transAxes)
corner1 = trans.transform_point([left, 1]).tolist()
corner2 = trans.transform_point([self.slider.left_bound, 0]).tolist()
self.agg_canvas.create_rectangle([corner1, corner2], stipple="gray25", fill="gray",tags="OVERLAY")
corner3 = trans.transform_point((right, 1)).tolist()
corner4 = trans.transform_point((self.slider.right_bound, 0)).tolist()
self.agg_canvas.create_rectangle([corner3, corner4], stipple="gray25", fill="gray",tags="OVERLAY")
self.axes.set_xbound(left, right)
self.plot.canvas.draw()
self.slider.config(on_change=update_limits)
self.slider.init()
self.root.mainloop()
def __init__(self, parent=None):
""" Initialization and set up
"""
# Base class
QMainWindow.__init__(self, parent)
# Mantid configuration
config = ConfigService.Instance()
self._instrument = config["default.instrument"]
# Central widget
self.centralwidget = QWidget(self)
# UI Window (from Qt Designer)
self.ui = load_ui(__file__, 'MainWindow.ui', baseinstance=self)
mpl_layout = QVBoxLayout()
self.ui.graphicsView.setLayout(mpl_layout)
self.fig = Figure()
self.canvas = FigureCanvas(self.fig)
self.ui.mainplot = self.fig.add_subplot(111, projection='mantid')
mpl_layout.addWidget(self.canvas)
# Do initialize plotting
vecx, vecy, xlim, ylim = self.computeMock()
self.mainline = self.ui.mainplot.plot(vecx, vecy, 'r-')
leftx = [xlim[0], xlim[0]]
lefty = [ylim[0], ylim[1]]
self.leftslideline = self.ui.mainplot.plot(leftx, lefty, 'b--')
rightx = [xlim[1], xlim[1]]
righty = [ylim[0], ylim[1]]
self.rightslideline = self.ui.mainplot.plot(rightx, righty, 'g--')
upperx = [xlim[0], xlim[1]]
uppery = [ylim[1], ylim[1]]
self.upperslideline = self.ui.mainplot.plot(upperx, uppery, 'b--')
lowerx = [xlim[0], xlim[1]]
lowery = [ylim[0], ylim[0]]
self.lowerslideline = self.ui.mainplot.plot(lowerx, lowery, 'g--')
self.canvas.mpl_connect('button_press_event', self.on_mouseDownEvent)
# Set up horizontal slide (integer) and string value
self._leftSlideValue = 0
self._rightSlideValue = 99
self.ui.horizontalSlider.setRange(0, 100)
self.ui.horizontalSlider.setValue(self._leftSlideValue)
self.ui.horizontalSlider.setTracking(True)
self.ui.horizontalSlider.setTickPosition(QSlider.NoTicks)
self.ui.horizontalSlider.valueChanged.connect(self.move_leftSlider)
self.ui.horizontalSlider_2.setRange(0, 100)
self.ui.horizontalSlider_2.setValue(self._rightSlideValue)
self.ui.horizontalSlider_2.setTracking(True)
self.ui.horizontalSlider_2.setTickPosition(QSlider.NoTicks)
self.ui.horizontalSlider_2.valueChanged.connect(self.move_rightSlider)
# self.connect(self.ui.lineEdit_3, QtCore.SIGNAL("textChanged(QString)"),
# self.set_startTime)
self.ui.lineEdit_3.setValidator(QDoubleValidator(self.ui.lineEdit_3))
self.ui.pushButton_setT0.clicked.connect(self.set_startTime)
# self.connect(self.ui.lineEdit_4, QtCore.SIGNAL("textChanged(QString)"),
# self.set_stopTime)
self.ui.lineEdit_4.setValidator(QDoubleValidator(self.ui.lineEdit_4))
self.ui.pushButton_setTf.clicked.connect(self.set_stopTime)
# File loader
self.scanEventWorkspaces()
self.ui.pushButton_refreshWS.clicked.connect(self.scanEventWorkspaces)
self.ui.pushButton_browse.clicked.connect(self.browse_File)
self.ui.pushButton_load.clicked.connect(self.load_File)
self.ui.pushButton_3.clicked.connect(self.use_existWS)
# Set up time
self.ui.lineEdit_3.setValidator(QDoubleValidator(self.ui.lineEdit_3))
self.ui.lineEdit_4.setValidator(QDoubleValidator(self.ui.lineEdit_4))
# Filter by time
self.ui.pushButton_filterTime.clicked.connect(self.filterByTime)
# Filter by log value
self.ui.lineEdit_5.setValidator(QDoubleValidator(self.ui.lineEdit_5))
self.ui.lineEdit_6.setValidator(QDoubleValidator(self.ui.lineEdit_6))
self.ui.lineEdit_7.setValidator(QDoubleValidator(self.ui.lineEdit_7))
self.ui.lineEdit_8.setValidator(QDoubleValidator(self.ui.lineEdit_8))
self.ui.lineEdit_9.setValidator(QDoubleValidator(self.ui.lineEdit_9))
self.ui.lineEdit_5.textChanged.connect(self.set_minLogValue)
self.ui.lineEdit_6.textChanged.connect(self.set_maxLogValue)
dirchangeops = ["Both", "Increase", "Decrease"]
self.ui.comboBox_4.addItems(dirchangeops)
logboundops = ["Centre", "Left"]
self.ui.comboBox_5.addItems(logboundops)
self.ui.pushButton_4.clicked.connect(self.plotLogValue)
self.ui.pushButton_filterLog.clicked.connect(self.filterByLogValue)
# Set up help button
self.ui.helpBtn.clicked.connect(self.helpClicked)
# Set up vertical slide
self._upperSlideValue = 99
self._lowerSlideValue = 0
self.ui.verticalSlider.setRange(0, 100)
self.ui.verticalSlider.setValue(self._upperSlideValue)
self.ui.verticalSlider.setTracking(True)
self.ui.verticalSlider.valueChanged.connect(self.move_upperSlider)
self.ui.verticalSlider_2.setRange(0, 100)
self.ui.verticalSlider_2.setValue(self._lowerSlideValue)
self.ui.verticalSlider_2.setTracking(True)
self.ui.verticalSlider_2.valueChanged.connect(self.move_lowerSlider)
# Set up for filtering (advanced setup)
self._tofcorrection = False
self.ui.checkBox_fastLog.setChecked(False)
self.ui.checkBox_filterByPulse.setChecked(False)
self.ui.checkBox_from1.setChecked(False)
self.ui.checkBox_groupWS.setChecked(True)
self.ui.comboBox_tofCorr.currentIndexChanged.connect(self.showHideEi)
self.ui.pushButton_refreshCorrWSList.clicked.connect(self._searchTableWorkspaces)
self.ui.lineEdit_Ei.setValidator(QDoubleValidator(self.ui.lineEdit_Ei))
self.ui.label_Ei.hide()
self.ui.lineEdit_Ei.hide()
self.ui.label_Ei_2.hide()
self.ui.comboBox_corrWS.hide()
self.ui.pushButton_refreshCorrWSList.hide()
# Set up for workspaces
self._dataWS = None
self._sampleLogNames = []
self._sampleLog = None
# Side information
self.ui.label_mean.hide()
self.ui.label_meanvalue.hide()
self.ui.label_avg.hide()
self.ui.label_timeAvgValue.hide()
self.ui.label_freq.hide()
self.ui.label_freqValue.hide()
self.ui.label_logname.hide()
self.ui.label_lognamevalue.hide()
self.ui.label_logsize.hide()
self.ui.label_logsizevalue.hide()
# Default
self._defaultdir = os.getcwd()
# register startup
mantid.UsageService.registerFeatureUsage("Interface", "EventFilter", False)
class HistoricalViewerApp:
line_styles = ["solid"]
colors = [
(0.0, 0.0, 1.0, 1.0), #Blue
(1.0, 0.0, 0.0, 1.0), #Red
(0.0, 1.0, 0.0, 1.0), #Green
(1.0, 1.0, 0.0, 1.0)
]
def __init__(self, width, height):
self.path = config.find_options("general.cfg")['database']
self.descriptors = config.find_graphs("graphs.cfg")
self.data = {}
self.collections = {}
self.nav_collections = {}
self.color_map = {}
self.connection = sql.connect(self.path, detect_types=(sql.PARSE_COLNAMES|sql.PARSE_DECLTYPES))
self.root = Tk.Tk()
self.root.wm_title("Historical Data Viewer")
self.intervals = self.connection.execute("SELECT * FROM intervals ORDER BY start;").fetchall()
self.intervals = list(reversed(self.intervals))
#Grid layout:
# Col 0 Col 1
# +------------+------+
# Row 0 | | ITVL |
# | ZOOM | SLCT |
# | - -GRAPH- -+------+
# Row 1 | | DATA |
# | | SLCT |
# +------------+------+
# Row 2 | NAV GRAPH | ZOOM |
# | | SLCT |
# +------------+------+
#Setup for the Tk/Agg plotting backend
self.figure = Figure(figsize = (width+1, height+2), dpi = 100)
self.figure.subplots_adjust(bottom=0.15)
self.axes = self.figure.add_subplot(111, autoscale_on=True)
#self.axes.xaxis.labelpad *= 3
self.canvas = FigureCanvasTkAgg(self.figure, master=self.root)
self.canvas.get_tk_widget().grid(row=0, column=0, rowspan=2)
#Setup for the mini-navigation figure
self.nav_figure = Figure(figsize = ((width+1)*1.05, 1.8), dpi = 100)
#self.nav_figure.subplots_adjust(bottom=0.3)
self.nav_axes = self.nav_figure.add_subplot(111, autoscale_on=False)
#self.nav_axes.xaxis.labelpad *= 2
self.nav_canvas = FigureCanvasTkAgg(self.nav_figure, master=self.root)
self.nav_canvas.get_tk_widget().grid(row=2, column=0)
self.nav_axes.yaxis.set_major_locator(ticker.NullLocator())
#Setup for the slider
def scale_to_data(left, right, x):
return from_ordinal(to_ordinal(left) + x * (to_ordinal(right) - to_ordinal(left)))
def data_to_scale(left, right, x):
return (to_ordinal(x) - to_ordinal(left)) / (to_ordinal(right) - to_ordinal(left))
self.slider = DoubleSlider(self.root,
left_bound=datetime(1999,1,1),
right_bound=datetime(1999,1,28),
data_to_scale=data_to_scale,
scale_to_data=scale_to_data,
set_on_drag=False,
on_change=self.update_bounds,
on_drag=lambda left, right: self.update_bounds(left, right, True))
self.slider.grid(row=3, column=0, sticky=W+E)
#Setup for the choosing the interval we want to examine
self.interval_frame = Tk.Frame(self.root)
self.interval_frame.grid(row=0, column=1, sticky=N+E)
picker_label = Tk.Label(self.interval_frame, text="Data Intervals")
picker_label.grid(row=0, column=0, sticky=N)
self.interval_picker = Tk.Listbox(self.interval_frame,
selectmode=Tk.BROWSE,
exportselection=0)
self.interval_picker.grid(row=1, column=0, sticky=N+W+E)
width = 20
for (name, start, end) in self.intervals:
string = format_span(start, end)
width = max(width, len(string))
self.interval_picker.insert(Tk.END, string)
self.interval_picker.config(width=width)
self.interval_picker.bind("<Double-Button-1>", self.select_interval)
self.interval_scrollbar = Tk.Scrollbar(self.interval_frame, command=self.interval_picker.yview)
self.interval_picker.config(yscrollcommand=self.interval_scrollbar.set)
self.interval_scrollbar.grid(row=1, column=1, sticky=N+S+W)
picker_button = Tk.Button(self.interval_frame,
text="Select interval",
command=self.select_interval)
picker_button.grid(row=2, column=0, sticky=N+W)
#----Variables for picking the table from the database--------------
self.source_frame = Tk.Frame(self.root)
self.source_frame.config(relief=Tk.GROOVE,
borderwidth=2)
self.source_frame.grid(row=1, column=1, sticky=N+W+E+S)
source_label = Tk.Label(self.source_frame, text="Show/Hide plots")
source_label.grid(column=0, columnspan=2, sticky=N)
def set_var_callback(cb, data, checkbutton, var=None):
if var is None:
var = Tk.IntVar()
def wrapper_callback():
var.set(var.get())
return cb(data, var.get())
checkbutton.config(variable=var,
command=wrapper_callback)
self.checkbuttons = []
for i,desc in enumerate(self.descriptors):
checkbutton = Tk.Checkbutton(self.source_frame,
text=desc.title)
toggle = Tk.Checkbutton(self.source_frame, text=" ")
color = self.colors[i % len(self.colors)]
checkbutton.config(relief=Tk.SUNKEN,
indicatoron=False)
toggle.config(indicatoron=False,
background=tk_color(lighten(color)),
highlightbackground=tk_color(color),
activebackground=tk_color(color),
selectcolor=tk_color(color),
state=ACTIVE)
var = Tk.IntVar()
set_var_callback(self.toggle_source, desc, checkbutton, var)
set_var_callback(self.toggle_source, desc, toggle, var)
self.color_map[desc.table_name] = color
toggle.grid(column=0, row=i+1, sticky=N+W)
checkbutton.grid(column=1, row=i+1, sticky=N+W)
self.checkbuttons.append(checkbutton)
self.style_count = 0
self.min_y = self.descriptors[0].min_y
self.max_y = self.descriptors[0].max_y
def run(self):
left_pad = self.nav_figure.subplotpars.left * self.nav_figure.get_figwidth() * self.nav_figure.dpi
right_pad = (1-self.nav_figure.subplotpars.right) * self.nav_figure.get_figwidth() * self.nav_figure.dpi
self.slider.config(left_padding=left_pad,
right_padding=right_pad)
self.figure.canvas.draw()
self.nav_figure.canvas.draw()
self.slider.init()
self.select_interval(index=0)
self.interval_picker.selection_set(first=0)
for desc, checkbutton in zip(self.descriptors, self.checkbuttons):
checkbutton.select()
self.toggle_source(desc, True)
locator = KenLocator(7.8)
self.nav_axes.xaxis.set_major_locator(locator)
self.nav_axes.xaxis.set_major_formatter(KenFormatter(locator))
locator = KenLocator(7.8)
self.axes.xaxis.set_major_locator(locator)
self.axes.xaxis.set_major_formatter(KenFormatter(locator))
self.root.mainloop()
def update_bounds(self, left, right, dragging=False):
if not dragging:
self.axes.set_xbound(to_ordinal(left), to_ordinal(right))
self.axes.set_xlabel(format_span(left, right)
+ " (" + format_timedelta(right - left) + ")")
agg_canvas = self.nav_canvas.get_tk_widget()
agg_canvas.delete("OVERLAY")
# c1 c3
# +---+---------+---+
# |...| _/\ _ |...|
# |...|/ \_/ \|...|
# +---+---------+---+
# c2 c4
cx2, cy2 = self.nav_axes.transData.transform_point((to_ordinal(left), self.max_y)).tolist()
cx3, cy3 = self.nav_axes.transData.transform_point((to_ordinal(right), self.min_y)).tolist()
agg_canvas.create_rectangle([cx2, cy2, cx3, cy3], tags="OVERLAY",
stipple = "gray50",
fill = "green")
## cx1, cy1 = self.nav_axes.transData.transform_point((to_ordinal(self.slider.left_bound), self.min_y)).tolist()
## cx2, cy2 = self.nav_axes.transData.transform_point((to_ordinal(left), self.max_y)).tolist()
## agg_canvas.create_rectangle([(cx1+1, cy1+2), (cx2, cy2)],
## tags="OVERLAY",
## stipple="gray50",
## fill="red", outline="")
##
## cx3, cy3 = self.nav_axes.transData.transform_point((to_ordinal(right), self.min_y)).tolist()
## cx4, cy4 = self.nav_axes.transData.transform_point((to_ordinal(self.slider.right_bound), self.max_y)).tolist()
## agg_canvas.create_rectangle([(cx3, cy3+2), (cx4, cy4)],
## tags="OVERLAY",
## stipple="gray50",
## fill="red", outline="")
if not dragging:
self.figure.canvas.draw()
self.nav_figure.canvas.draw()
def select_interval(self, index=None):
#Support direct invocation, invocation by event, and as a command
if not isinstance(index, int):
if not self.interval_picker.curselection():
return
index = int(self.interval_picker.curselection()[0])
name, start, end = self.intervals[index]
for identifier in self.data:
view = self.data[identifier]
view.load(start, end)
self.collections[identifier].set_segments([view.export()])
self.collections[identifier].set_antialiased(False)
self.nav_collections[identifier].set_segments([view.export()])
self.slider.config(left_bound=start,
right_bound=end)
self.slider.reset()
self.nav_axes.set_xbound(to_ordinal(start), to_ordinal(end))
self.nav_axes.set_xlabel("%s (%s)" % (format_span(start, end),
format_timedelta(end - start)))
self.redraw()
def toggle_source(self, desc, enabled):
if desc.table_name in self.data:
self.nav_collections[desc.table_name].set_visible(enabled)
self.collections[desc.table_name].set_visible(enabled)
self.redraw()
elif enabled:
self.axes.set_ylabel(desc.units)
self.add_source(desc.table_name, desc.title)
self.min_y = min(self.min_y, desc.min_y)
self.max_y = max(self.max_y, desc.max_y)
self.axes.set_ybound(self.min_y,self.max_y)
self.nav_axes.set_ybound(self.min_y, self.max_y)
## self.axes.legend(loc=3)
self.redraw()
def redraw(self):
self.figure.canvas.draw()
self.nav_figure.canvas.draw()
def add_source(self, identifier, title):
left, right = sorted([self.slider.left_bound, self.slider.right_bound])
view = SQLIntervalView(self.connection, identifier, left, right)
self.data[identifier] = view
colors = [self.color_map.get(identifier, self.colors[0])]
col = DatetimeCollection([view.export()], colors=colors)
col.set_label(title)
self.collections[identifier] = col
col2 = DatetimeCollection([view.export()], colors=colors)
self.nav_collections[identifier] = col2
self.axes.add_collection(col)
self.nav_axes.add_collection(col2)
