def __init__(self):
"""
Class constructor
"""
Figure.__init__(self, dpi=100)
self.plot = self.add_subplot(111)
def __init__(self):
Figure.__init__(self)
self.subfigures = []
palette = sns.color_palette("YlOrRd", 7)
self.cmap = sns.blend_palette(palette, as_cmap=True)
self.canvas = FigureCanvas
def __init__(self, *args, **kwargs):
self.fig_args = {
'values': kwargs.pop('values', []),
'rows': kwargs.pop('rows', None),
'columns': kwargs.pop('columns', None),
'colors': kwargs.pop('colors', None),
'labels': kwargs.pop('labels', None),
'legend': kwargs.pop('legend', {}),
'icon_legend': kwargs.pop('icon_legend', False),
'interval_ratio_x': kwargs.pop('interval_ratio_x', 0.2),
'interval_ratio_y': kwargs.pop('interval_ratio_y', 0.2),
'block_aspect': kwargs.pop('block_aspect', 1),
'cmap_name': kwargs.pop('cmap_name', 'Set2'),
'title': kwargs.pop('title', None),
'icons': kwargs.pop('icons', None),
'icon_size': kwargs.pop('icon_size', None),
'plot_anchor': kwargs.pop('plot_anchor', 'W'),
}
self.plots = kwargs.pop('plots', None)
# If plots is empty, make a single waffle chart
if self.plots is None:
self.plots = {111: self.fig_args}
Figure.__init__(self, *args, **kwargs)
for loc, setting in self.plots.items():
self._waffle(loc, **copy.deepcopy(setting))
# Adjust the layout
self.set_tight_layout(True)
def __init__(self, parent, *args, **kwargs):
## QtCore.QThread.__init__(self, parent)
## threading.Thread.__init__(self)
Figure.__init__(self, *args, **kwargs)
self.plot_data = list()
self.figures = list()
def __init__(self, master, size, xlabel, ylabel, **kwargs):
"""Create empty plot and initialize options.
Args:
master (snr_gui.LayoutFrame): container frame widget
size (tuple): width and height of plot in inches
xlabel (str): x-axis title
ylabel (str): y-axis title
**kwargs: additional options for plot
"""
Figure.__init__(self, figsize=size, facecolor="white")
self.xlabel = xlabel
self.ylabel = ylabel
self.graph = self.add_subplot(111,
xlabel=self.xlabel,
ylabel=self.ylabel,
**kwargs)
self.ticker = mpl.ticker.ScalarFormatter(useMathText=True,
useOffset=False)
self.graph.xaxis.set_major_formatter(self.ticker)
self.graph.yaxis.set_major_formatter(self.ticker)
self.graph.xaxis.get_major_formatter().set_powerlimits((-4, 4))
self.graph.yaxis.get_major_formatter().set_powerlimits((-4, 4))
self.graph.xaxis.labelpad = 2
self.graph.yaxis.labelpad = 2
self.canvas = FigureCanvasTkAgg(self, master=master)
self.canvas.show()
self.canvas.get_tk_widget().grid(column=0, row=0)
# Remove scientific notation from edges of axes (will be added to axis titles when plot limits are known)
self.graph.xaxis.offsetText.set_visible(False)
self.graph.yaxis.offsetText.set_visible(False)
def __init__(self, *args, **kwargs):
"""
custom kwarg figtitle is a figure title
"""
figtitle = kwargs.pop('figtitle', 'hi mom')
Figure.__init__(self, *args, **kwargs)
self.text(0.5, 0.95, figtitle, ha='center')
def __init__(self, player, mod):
Figure.__init__(self, figsize=(5, 5), dpi=150)
self.plot = self.add_subplot(111)
with urllib.request.urlopen(
"https://api.faforever.com/data/gamePlayerStats?"
"filter=player.login=={0};"
"game.featuredMod.technicalName=={1}"
"&fields[gamePlayerStats]=afterMean,afterDeviation,faction,scoreTime"
"&page[limit]=10000".format(player, mod)) as url:
data = json.loads(url.read())
# with open('/home/brett/Documents/Code/data/spocko.json', 'r') as infile:
# data = json.loads(infile.read())
colors = ['#00486b', '#005119', '#801609', '#9a751d']
time = []
rating = []
faction = []
for i in data['data']:
f = int((i['attributes']['faction']) - 1)
if i['attributes']['scoreTime'] is not None and i['attributes'][
'afterMean'] is not None and f < 4:
time.append(
datetime.datetime.strptime(i['attributes']['scoreTime'],
'%Y-%m-%dT%H:%M:%SZ') -
datetime.timedelta(hours=8))
rating.append(i['attributes']['afterMean'] -
3 * i['attributes']['afterDeviation'])
faction.append(colors[f])
self.plot.plot(time, rating, alpha=.5, c='black', linewidth=.8)
self.plot.scatter(time, rating, color=faction, s=5)
def __init__(self, *args, **kwargs):
"""
custom kwarg figtitle is a figure title
"""
figtitle = kwargs.pop('figtitle', 'hi mom')
Figure.__init__(self, *args, **kwargs)
self.text(0.5, 0.95, figtitle, ha='center')
def __init__(self, sigs={}, fig=None):
""" Instanciate a Figure.
If a signal list is provided, add a graph with the signal list
By default, create an empty list of graph and set the layout to horiz
Parameters
----------
sigs: dict of Signals
If provided, the function instanciate the Figure with one Graph and
insert the Signals
fig: Not used
Returns
-------
The figure instanciated and initialized
"""
MplFig.__init__(self)
self._layout = "horiz"
self._MODES_NAMES_TO_OBJ = {'lin':LinGraph, 'polar':PolarGraph, 'smith':SmithChart, 'eye':EyeGraph}
self._kid = None
# FIXME: Slow way... Surely there exist something faster
self._OBJ_TO_MODES_NAMES = {}
for k, v in self._MODES_NAMES_TO_OBJ.items():
self._OBJ_TO_MODES_NAMES[v] = k
if not sigs:
return
elif isinstance(sigs, dict):
self.add(sigs)
else:
print(sigs)
assert 0, _("Bad type")
def __init__(self, model: GraphPlotterModel, *args, **kwargs):
Figure.__init__(self,
figsize=(1.5, 1),
facecolor=self.convertColor(model.faceColor),
edgecolor=self.convertColor(model.edgeColor),
*args,
**kwargs)
View.__init__(self)
# Data model references
self.model = model
# GraphPlotter view components
self.graphViews = []
self.axesViews = []
self.legendView = None
# Updating initial views
for graphModel in self.model.graphModels:
self.onGraphModelAdded(graphModel)
for axesModel in self.model.axesModels:
self.onAxesModelAdded(axesModel)
# Signal and slot connection
self.model.graphModelAdded.connect(self.onGraphModelAdded)
self.model.graphModelRemoved.connect(self.onGraphModelRemoved)
self.model.axesModelAdded.connect(self.onAxesModelAdded)
self.model.axesModelRemoved.connect(self.onAxesModelRemoved)
self.model.propertyChanged.connect(self.onPropertyChanged)
def __init__(self,
nb_lin,
nb_col,
height,
width,
projection=None,
**figure_properties):
"""
Prepare a figure with a specified number axes
Parameters
----------
nb_lin, nb_lin integer
Number of lines and number of columns
height, width float
Height and width of the figure in inches
axes_properties: set of axes properties
"""
figure_properties['figsize'] = (width, height)
Figure.__init__(self, **figure_properties)
self.nb_lin = nb_lin
self.nb_col = nb_col
gs = gridspec.GridSpec(nb_lin, nb_col)
self.ax = np.ndarray((nb_lin, nb_col), dtype=Axes)
for row in range(gs._nrows):
for col in range(gs._ncols):
self.ax[row, col] = self.add_subplot(gs[row, col],
projection=projection)
def __init__(self,master,size,dpi,task):
Figure.__init__(self,figsize=(size[0]/dpi,size[1]/dpi),dpi=dpi,facecolor='w',edgecolor='b',frameon=True,linewidth=0)
FigureCanvas(self,master=master)
self.master = master
self._errors = collections.OrderedDict()
self._dirty = True
self._task = task
self.add_subplot(111,axisbg='w')
def __init__(self, opt_model, eval_fct=trace_astigmatism, **kwargs):
self.opt_model = opt_model
self.scale_type = Fit.All
self.eval_fct = eval_fct
Figure.__init__(self, **kwargs)
self.update_data()
def __init__(self, *args, **kwargs):
"""
custom kwarg figtitle is a figure title
"""
fig_title = kwargs.pop('figtitle')
x_label = kwargs.pop('xlabel')
Figure.__init__(self, *args, **kwargs)
self.text(0.5, 0.95, fig_title, x_label, ha='center')
def __init__(self,
figsize=None,
ticksize=None,
labelsize=None,
titlesize=None,
textsize=None):
Figure.__init__()
if ""
def __init__(self, x_list, y_list, title=None):
Figure.__init__(self, facecolor="white")
ax = self.add_subplot(111)
if title is not None:
ax.set_title(title, fontsize=10)
ax.scatter(x_list, y_list)
ind = np.arange(len(x_list)) + 1
ax.set_xticks(ind)
ax.set_xlim(left=0, right=len(x_list) + 1)
def __init__(self):
Figure.__init__(self)
self.subfigures = []
self.subplots_adjust(bottom=0.1, right=0.8)
self.dayLocator = DayLocator()
self.hourLocator = HourLocator(interval=3)
self.dateFormat = DateFormatter('%H:%M \n %Y-%m-%d')
self.set_size_inches(12, 4)
self.dirTickLocator = MultipleLocator(45)
def __init__(self):
Figure.__init__(self)
self.subfigures = []
self.subplots_adjust(bottom=0.1, right=0.8)
self.dayLocator = DayLocator()
self.hourLocator = HourLocator(interval=3)
self.dateFormat = DateFormatter('%H:%M \n %Y-%m-%d')
self.set_size_inches(12, 4)
self.dirTickLocator = MultipleLocator(45)
def __init__(self, **kwargs):
Figure.__init__(self, **kwargs)
self.markers = []
self.epsilon = 10.0
self.drag_idx = -1
self.timer = None
self.marker_line_info = None
self.pick_sets = []
self.pick_funs = []
def __init__(self, Acc_X=0, Acc_Y=1, Acc_Z=0, *args, **kwargs):
Figure.__init__(self, *args, **kwargs)
self.ax = self.gca(projection='3d')
self.ax.set_aspect("equal")
self.ax.set_xlim(-1, 1)
self.ax.set_ylim(-1, 1)
self.ax.set_zlim(-1, 1)
self.ax.scatter([0], [0], [0], color="g", s=100)
self.object = object3D(Acc_X, Acc_Y, Acc_Y)
self.ax.add_artist(self.object)
def __init__(self):
Figure.__init__(self, figsize=(5, 5), dpi=100)
self.plot = self.add_subplot(
111, projection='3d') #projection='3d' for 3d view
#sets limit of axis
self.plot.set_ylim(0, 100)
self.plot.set_xlim(0, 100)
self.plot.set_zlim(0, 100)
#self.plot.plot([1, 2, 3, 4, 5, 6, 7], [4, 3, 5, 0, 2, 0, 6],[7, 3, 5, 4, 2, 8, 6])
GraphPage.line, = self.plot.plot(xar, yar, zar) #plots the line
def __init__(self, *args, **kwds):
Figure.__init__(self, *args, **kwds)
self.xzoom = 10
self.yzoom = 10
self.zfloor = 1
self.ax = []
self.ay = []
self.shiftsdat = 'shifts.dat'
self.auxpeaks_loaded = False
self.shift_globally = False
def __init__(self, width=5, height=4, dpi=100):
Figure.__init__(self, figsize=(width, height), dpi=dpi)
self._axes = self.add_subplot(111)
# We want the axes cleared every time plot() is called
self._plots = []
self._grid = False
def __init__(self, dpi=200, figsize=(12, 8), data_lst=None):
Figure.__init__(self, dpi=dpi, figsize=figsize)
nccd = 3
axh = 0.8
self.ax_imag_lst = []
self.ax_ycut_lst = []
self.ax_hist_lst = []
self.ax_cbar_lst = []
for iccd in range(nccd):
data = data_lst[iccd]
ny, nx = data.shape
axw = axh / figsize[0] * figsize[1] / ny * nx
ax_imag = self.add_axes([0.1 + iccd * 0.20, 0.07, axw, axh])
ax_ycut = ax_imag.twiny()
ax_hist = self.add_axes(
[0.7, 0.07 + (nccd - iccd - 1) * 0.28 + 0.03, 0.25, 0.2])
ax_cbar = self.add_axes(
[0.7, 0.07 + (nccd - iccd - 1) * 0.28, 0.25, 0.02])
self.ax_imag_lst.append(ax_imag)
self.ax_ycut_lst.append(ax_ycut)
self.ax_hist_lst.append(ax_hist)
self.ax_cbar_lst.append(ax_cbar)
vmin = np.percentile(data, 1)
vmax = np.percentile(data, 99)
cax = ax_imag.imshow(data, origin='lower', vmin=vmin, vmax=vmax)
self.colorbar(cax, cax=ax_cbar, orientation='horizontal')
ax_imag.set_xlabel('X (pixel)')
if iccd == 0:
ax_imag.set_ylabel('Y (pixel)')
ax_imag.set_xlim(0, nx - 1)
ax_imag.set_ylim(0, ny - 1)
ax_imag.xaxis.set_major_locator(tck.MultipleLocator(500))
ax_imag.xaxis.set_minor_locator(tck.MultipleLocator(100))
ax_imag.yaxis.set_major_locator(tck.MultipleLocator(500))
ax_imag.yaxis.set_minor_locator(tck.MultipleLocator(100))
ax_imag.set_title('CCD {}'.format(iccd + 1))
#ax_ycut.set_ylim(0, ny-1)
# plot histogram
bins = np.linspace(vmin, vmax, 50)
color = ('C0', 'C2', 'C3')[iccd]
ax_hist.hist(data.flatten(),
bins=bins,
color=color,
label='CCD {}'.format(iccd + 1))
ax_hist.legend(loc='upper right')
ax_hist.set_xticklabels([])
ax_hist.set_xlim(vmin, vmax)
ax_cbar.set_xlim(vmin, vmax)
self.suptitle('Bias')
def __init__(self, lat, lon, eP, cP, rMax, beta, beta1=1.5, beta2=1.4):
Figure.__init__(self)
self.R = np.array(list(range(1, 201)), 'f')
self.lat = lat
self.lon = lon
self.rMax = rMax
self.eP = eP
self.cP = cP
self.beta = beta
self.beta1 = beta1
self.beta2 = beta2
def __init__(self, lat, lon, eP, cP, rMax, beta, beta1=1.5, beta2=1.4):
Figure.__init__(self)
self.R = np.array(range(1, 201), 'f')
self.lat = lat
self.lon = lon
self.rMax = rMax
self.eP = eP
self.cP = cP
self.beta = beta
self.beta1 = beta1
self.beta2 = beta2
def __init__(self, *args, **kwargs):
"""
custom kwarg figtitle is a figure title
"""
figtitle = kwargs.pop('figtitle', 'hi mom')
Figure.__init__(self, *args, **kwargs)
self.text(0.5, 0.95, figtitle, ha='center')
self.y = np.zeros(100, dtype=float)
self.x = range(100)
self.subplots_adjust(left=0.25, bottom=0.25)
self.lock = threading.Lock()
def __init__(self, code_matrix, row_labels, title=None, show_it=True, gray_only=False, tailored_cmap_list=None, xlabels=None):
Figure.__init__(self, figsize=(8,1))
self.dialogs = []
(ntopics, nsegments) = code_matrix.shape
if gray_only:
cmap_list = ["Greys"]
elif tailored_cmap_list is not None:
cmap_list = tailored_cmap_list
else:
cmap_list = ['Reds', "Oranges", 'Greens', "Blues", 'Purples', "Greys"]
axes = []
for j in range(ntopics):
axes.append(self.add_subplot(ntopics, 1, j + 1))
if j < ntopics:
axes[j].set_xticks([])
self.subplots_adjust(left=.15, bottom=.2, right=.98, top=.80)
self.set_facecolor("white")
# pylab.figure(fig.number)
ind = np.arange(nsegments)
axes[-1].set_xticks(ind)
if xlabels is None:
axes[-1].get_xaxis().set_ticklabels(ind + 1, size="x-small")
else:
axes[-1].get_xaxis().set_ticklabels(xlabels, size="x-small", rotation="vertical")
# pylab.xticks(ind, ind + 1, size="small")
for the_row in range(ntopics):
for the_seg in range(nsegments):
if code_matrix[the_row, the_seg] < 0:
code_matrix[the_row, the_seg] = 0
if title is not None:
axes[0].set_title(title, fontsize=10)
vmax = np.amax(code_matrix)
for topic in range(ntopics):
ax = axes[topic]
ax.set_yticks([])
# pylab.sca(ax)
ax.tick_params(length=0)
for i in ind:
ax.axvline(x=i+.5, linestyle = "-", linewidth = .25, color = 'black')
for spine in ax.spines.itervalues():
spine.set_visible(False)
the_row = np.vstack((code_matrix[topic], code_matrix[topic]))
ax.imshow(the_row, aspect="auto", cmap=get_cmap(cmap_list[topic % (len(cmap_list))]), interpolation='nearest', vmin=0, vmax=vmax)
if row_labels is not None:
the_label = row_labels[topic]
else:
the_label = "Topic " + str(topic)
ax.set_ylabel(the_label, rotation="horizontal", horizontalalignment='right', verticalalignment='center', fontsize=10)
def __init__(self, *args, **kwargs):
"""
custom kwarg figtitle is a figure title
"""
figtitle = kwargs.pop('figtitle', 'hi mom')
Figure.__init__(self, *args, **kwargs)
self.text(0.5,
0.95,
figtitle,
ha='center',
va='bottom',
fontsize=FONT_SIZE * 0.5)
def __init__(self,master,size,dpi,data,fold):
Figure.__init__(self,figsize=(size[0]/dpi,size[1]/dpi),dpi=dpi,facecolor='w',edgecolor='b',frameon=True,linewidth=0)
FigureCanvas(self,master=master)
self.master = master
self._dirty = True
self._fold = fold
self._indices = None
self._targets = None
self._outputs = None
self._outshape = data.Yshape
self._outrange = data.Yrange
self.add_subplot(111,axisbg='w')
def __init__(self, x_name, y_name, *args, **kwargs):
Figure.__init__(self, *args, **kwargs)
self.plot_axes = self.add_subplot(111, xlabel=x_name,
ylabel=y_name.upper())
self.plot_line = None
self.canvas = FigureCanvas(self)
self.plot_xname = x_name
self.plot_yname = y_name
self.plot_xdata = []
self.plot_ydata = []
self.plot_line, = self.plot_axes.plot(self.plot_xdata, self.plot_ydata)
self.plot_max_points = 200
def __init__(self,master,size,dpi,get_matrices_fn,percentiles,transposed,ranges=None,title=""):
Figure.__init__(self,figsize=(size[0]/dpi,size[1]/dpi),dpi=dpi,facecolor='w',edgecolor='b',frameon=True,linewidth=0)
FigureCanvas(self,master=master)
self.master = master
self._dirty = True
self._get_matrices_fn = get_matrices_fn
self._P = []
self._t = percentiles
self._ranges = ranges
self._title = title
self._transposed = transposed
self.add_subplot(111,axisbg='w')
def __init__(self, **kwargs):
if "dpi" in kwargs:
dpi = kwargs["dpi"]
else:
dpi = 80
if "title" in kwargs:
title = kwargs["title"]
else:
title = None
Figure.__init__(self, figsize=(self.width / dpi, self.height / 80), dpi=dpi)
self.title = title
self.dpi = dpi
self.kwargs = kwargs
def __init__(self, *args, **kwargs):
name = kwargs.get('name', None)
if name is not None:
del kwargs[name]
self.name = name
else:
self.name = 'figure{0}'.format(Figure.figure_index)
Figure.figure_index += 1
PLTFigure.__init__(self, *args, **kwargs)
self.axes_ = {}
self.series_ = {}
def __init__(self, opt_model, refresh_gui, dgm_type, **kwargs):
self.actions = {}
self.opt_model = opt_model
self.parax_model = opt_model.parax_model
self.refresh_gui = refresh_gui
self.setup_dgm_type(dgm_type)
self.skip_build = False
Figure.__init__(self, **kwargs)
self.vertex = None
self.update_data()
self.select_point()
def __init__(self, *attributes):
Figure.__init__(self, (5.0, 4.0), facecolor="white")
self.attributes = attributes
self.__axes = self.add_subplot(111)
# Insert empty attributes with a dict for figure attributes
if not self.attributes:
self.attributes = [{}]
self.draw_chart()
def __init__(self, code_matrix, trans_names, code_names, show_it=True, show_trans_names=False, color_map = "jet", legend_labels = None, title=None, horizontal_grid = True):
Figure.__init__(self, facecolor="white", figsize=(12, 4))
ldata = {}
self.subplots_adjust(left=.05, bottom=.15, right=.98, top=.95)
code_names = [c for c in range(code_matrix.shape[1])]
for i, code in enumerate(range(len(code_names))):
ldata[code] = [code_matrix[j, i] for j in range(len(trans_names))]
ind = np.arange(len(trans_names))
width = 1.0 / (len(code_names) + 1)
traditional_colors = ['red', 'orange', 'yellow', 'green', 'blue', 'purple', 'black', 'grey', 'cyan', 'coral']
ax = self.add_subplot(111)
if title is not None:
ax.set_title(title, fontsize=10)
if color_map == "AA_traditional_":
lcolors = traditional_colors
else:
cNorm = mpl_Normalize(vmin = 1, vmax = len(code_names))
comap = get_cmap(color_map)
scalar_map = ScalarMappable(norm = cNorm, cmap = comap)
lcolors = [scalar_map.to_rgba(idx + 1) for idx in range(len(code_names))]
the_bars = []
for c in range(len(code_names)):
new_bars = ax.bar(ind + (c + .5) * width, ldata[code_names[c]], width, color=lcolors[c % (len(lcolors))])
the_bars.append(new_bars[0])
# bar_groups.append(bars)
if show_trans_names:
ax.set_xticks(ind + .5)
ax.set_xticklabels(trans_names, size="x-small", rotation= -45)
else:
ax.grid(b = horizontal_grid, which = "major", axis = 'y')
ax.set_xticks(ind + .5)
ax.set_xticklabels(ind + 1, size="x-small")
for i in ind[1:]:
ax.axvline(x = i, linestyle = "--", linewidth = .25, color = 'black')
if legend_labels != None:
fontP =FontProperties()
fontP.set_size('small')
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.825, box.height])
# Put a legend to the right of the current axis
ax.legend(the_bars, legend_labels, loc='center left', bbox_to_anchor=(1, 0.5), prop = fontP)
ax.set_xlim(right=len(trans_names))
if show_it:
self.show()
def __init__(self,master,size,dpi,model,featshape,direction='input'):
Figure.__init__(self,figsize=(size[0]/dpi,size[1]/dpi),dpi=dpi,facecolor='w',edgecolor='b',frameon=True,linewidth=0)
FigureCanvas(self,master=master)
self.master = master
self._dirty = True
self._model = model
self._feat = None
self._featrange = None
self._featshape = featshape
self._direction = direction
self._sorted = True
self._update_count = 0
self._ordering = None
self.add_subplot(111,axisbg='w')
def __init__(self,
dpi=150,
figsize=(12, 8),
data=None,
scale=(5, 95),
title=None):
Figure.__init__(self, dpi=dpi, figsize=figsize)
l1 = 0.07
b1 = 0.10
h1 = 0.80
w1 = h1 / figsize[0] * figsize[1]
l2 = 0.67
w2 = 0.30
hgap1 = 0.08
h3 = 0.02
h2 = (h1 - 2 * hgap1 - h3) / 2
self.ax_image = self.add_axes([l1, b1, w1, h1])
self.ax_hist1 = self.add_axes([l2, b1 + h3 + hgap1 * 2 + h2, w2, h2])
self.ax_hist2 = self.add_axes([l2, b1 + h3 + hgap1, w2, h2])
self.ax_cbar0 = self.add_axes([l2, b1, w2, h3])
vmin = np.percentile(data, scale[0])
vmax = np.percentile(data, scale[1])
cax = self.ax_image.imshow(data, origin='lower', vmin=vmin, vmax=vmax)
self.colorbar(cax, cax=self.ax_cbar0, orientation='horizontal')
self.ax_image.set_xlabel('X (pixel)')
self.ax_image.set_ylabel('X (pixel)')
# plot hist1, the whole histogram
self.ax_hist1.hist(data.flatten(), bins=50)
self.ax_hist1.axvline(x=vmin,
color='C1',
ls='--',
lw=0.7,
label='{} %'.format(scale[0]))
self.ax_hist1.axvline(x=vmax,
color='C2',
ls='--',
lw=0.7,
label='{} %'.format(scale[1]))
self.ax_hist1.set_xlabel('Count')
legend = self.ax_hist1.legend(loc='upper right')
legend.get_frame().set_alpha(0.1)
self.ax_hist2.hist(data.flatten(), bins=np.linspace(vmin, vmax, 50))
self.ax_hist2.set_xlim(vmin, vmax)
self.ax_hist2.set_xlabel('Count')
if title is not None:
self.suptitle(title)
def __init__(self, *args, **kwargs):
Figure.__init__(self, *args, **kwargs)
self.ax = self.gca(projection='3d')
self.ax.set_aspect("equal")
self.ax.set_xlim(-1, 1)
self.ax.set_ylim(-1, 1)
self.ax.set_zlim(-1, 1)
self.ax.scatter([0], [0], [0], color="g", s=100)
self.object = Arrow3D(0,
0,
0,
mutation_scale=20,
lw=1,
arrowstyle="-|>",
color="k")
self.ax.add_artist(self.object)
def __init__(self, master, size, dpi, task):
Figure.__init__(
self,
figsize=(size[0] / dpi, size[1] / dpi),
dpi=dpi,
facecolor="w",
edgecolor="b",
frameon=True,
linewidth=0,
)
FigureCanvas(self, master=master)
self.master = master
self._errors = collections.OrderedDict()
self._dirty = True
self._task = task
self.add_subplot(111, axisbg="w")
def __init__(self, master, size, dpi, get_matrices_fn, percentiles, transposed, ranges=None, title=""):
Figure.__init__(
self,
figsize=(size[0] / dpi, size[1] / dpi),
dpi=dpi,
facecolor="w",
edgecolor="b",
frameon=True,
linewidth=0,
)
FigureCanvas(self, master=master)
self.master = master
self._dirty = True
self._get_matrices_fn = get_matrices_fn
self._P = []
self._t = percentiles
self._ranges = ranges
self._title = title
self._transposed = transposed
self.add_subplot(111, axisbg="w")
def __init__(self, similarity_matrix, cluster_sizes=None, title=None, show_it=False, cmap="Greys"):
Figure.__init__(self, figsize=(12, 12))
ax = self.add_subplot(111)
if title is not None:
ax.set_title(title, fontsize=10)
cax = ax.imshow(similarity_matrix, cmap=cmap)
tick_spots = [0]
running_total = 0
if cluster_sizes is not None:
for size in cluster_sizes:
running_total += size
tick_spots.append(running_total)
ax.set_xticks(tick_spots)
# ax.grid(b=True)
cbar = self.colorbar(cax)
self.subplots_adjust(left=.05, bottom=.05, right=.98, top=.95)
self.set_facecolor("white")
if show_it==True:
self.show()
def __init__(self, locking=True, disable_output=None, display=None, toolbar=None, **figkw):
if disable_output is not None:
self._disable_output = disable_output
else:
self._disable_output = _p.rcParams['refigure.disableoutput']
if display is not None:
self.display = display
else:
self.display = _p.rcParams['refigure.display']
if toolbar is not None:
self._toolbar = toolbar
else:
self._toolbar = _p.rcParams['refigure.toolbar']
if not self._toolbar and 'facecolor' not in figkw:
figkw['facecolor'] = 'white'
_Figure.__init__(self, **figkw)
c = _FigureCanvasBase(self) # For savefig to work
# Set this here to allow 'f = figure()' syntax
if not locking:
self.__class__.current_fig = self # Another thread can tweak this!
def __init__(self, master, size, dpi, model, featshape, direction="input"):
Figure.__init__(
self,
figsize=(size[0] / dpi, size[1] / dpi),
dpi=dpi,
facecolor="w",
edgecolor="b",
frameon=True,
linewidth=0,
)
FigureCanvas(self, master=master)
self.master = master
self._dirty = True
self._model = model
self._feat = None
self._featrange = None
self._featshape = featshape
self._direction = direction
self._sorted = True
self._ordering = None
self.add_subplot(111, axisbg="w")
def __init__(self, the_array, ylabels=None, title=None, show_it=True, color_map="Greys", xlabels=None, value_range=None):
Figure.__init__(self, figsize=(8,1))
self.dialogs = []
(nrows, ncols) = the_array.shape
ax = self.add_subplot(111)
if title is not None:
ax.set_title(title, fontsize=10)
if value_range is not None:
cax = ax.imshow(the_array, cmap=color_map, aspect="auto", interpolation='nearest',
vmin=value_range[0], vmax=value_range[1])
else:
cax = ax.imshow(the_array, cmap=color_map, aspect="auto", interpolation='nearest')
ind = np.arange(ncols)
ax.set_xticks(ind, minor=False)
ax.set_xticks(ind + .5, minor=True)
if xlabels is None:
ax.get_xaxis().set_ticklabels(ind + 1, size="x-small")
else:
ax.get_xaxis().set_ticklabels(xlabels, size="x-small", rotation="vertical")
ind = np.arange(nrows)
ax.set_yticks(ind, minor=False)
ax.set_yticks(ind + .5, minor=True)
if ylabels is None:
ax.get_yaxis().set_ticklabels(ind + 1, size="x-small")
else:
ax.get_yaxis().set_ticklabels(ylabels, size="x-small", rotation="horizontal")
ax.grid(True, which='minor', linestyle='-')
cbar = self.colorbar(cax)
self.subplots_adjust(left=.12, bottom=.25, right=.99, top=.95)
self.set_facecolor("white")
if show_it==True:
self.show()
def __init__(self, master, size, dpi, data):
Figure.__init__(
self,
figsize=(size[0] / dpi, size[1] / dpi),
dpi=dpi,
facecolor="w",
edgecolor="b",
frameon=True,
linewidth=0,
)
FigureCanvas(self, master=master)
self.master = master
self._dirty = True
self._fold = "test" if data["test"].size > 0 else "train"
self._indices = rnd.sample(arange(data[self._fold].size), minimum(data[self._fold].size, 50)) # 256))
self._targets = (
bm.as_numpy(data[self._fold].Y[self._indices, :])
.transpose()
.reshape(data.Yshape + tuple([len(self._indices)]))
)
self._outputs = None
self._outshape = data.Yshape
self._outrange = data.Yrange
self.add_subplot(111, axisbg="w")
def __init__(self):
Figure.__init__(self)
def __init__(self, parent, width, height, dpi):
Figure.__init__(self, figsize=(width, height), dpi=dpi)
self.parent = parent
def __init__(self, series=None, **kwargs):
self._series = series
Figure.__init__(self,**kwargs)
fspnum = kwargs.pop('fspnum',None)
if fspnum is not None:
self.add_tsplot(fspnum, series=series)
def __init__(self):
Figure.__init__(self, figsize=(5, 6), dpi=100)
def __init__(self, **kwargs):
self._series = series = kwargs.pop("series", None)
Figure.__init__(self, **kwargs)
fspnum = kwargs.pop("fspnum", None)
if fspnum is not None:
self.add_tsplot(fspnum, series=series)
def __init__(self, number_of_subplots):
Figure.__init__(self)
self.number_of_subplots = number_of_subplots
#todo
# there has to be an existing class that can hold four points together
# Determine how multiple plots will be laid out, 2x1, 3x4 etc.
if self.number_of_subplots <= 1:
self.num_rows = 1
self.title_fontsize = 12
self.legend_fontsize = 12
self.axes_label_fontsize = 12
self.axes_tick_fontsize = 10
self.main_border_left = 0.05
self.main_border_right = 0.05
self.main_border_lower = 0.05
self.main_border_upper = 0.05
self.subplot_border_left = 0.0
self.subplot_border_right = 0.0
self.subplot_border_lower = 0.05
self.subplot_border_upper = 0.2
elif ((self.number_of_subplots >= 2) and (self.number_of_subplots <= 6 )):
self.num_rows = 2
self.title_fontsize = 10
self.legend_fontsize = 10
self.axes_label_fontsize = 10
self.axes_tick_fontsize = 8
self.main_border_left = 0.05
self.main_border_right = 0.05
self.main_border_lower = 0.0
self.main_border_upper = 0.05
self.subplot_border_left = 0.0
self.subplot_border_right = 0.0
self.subplot_border_lower = 0.05
self.subplot_border_upper = 0.05
else:
self.num_rows = 3
self.title_fontsize = 8
self.legend_fontsize = 6
self.axes_label_fontsize = 8
self.axes_tick_fontsize = 6
self.main_border_left = 0.05
self.main_border_right = 0.05
self.main_border_lower = 0.1
self.main_border_upper = 0.0
self.subplot_border_left = 0.0
self.subplot_border_right = 0.0
self.subplot_border_lower = 0.0
self.subplot_border_upper = 0.1
self.num_cols = int(math.ceil(float(self.number_of_subplots)/float(self.num_rows)))
self.main_axes_width = 1.0 - (self.main_border_left + self.main_border_right)
self.main_axes_height = 1.0 - (self.main_border_lower + self.main_border_upper)
# Set up grid geometry
self.col_width = (self.main_axes_width/self.num_cols)
self.row_height = (self.main_axes_height/self.num_rows)
self.subplot_width = self.col_width - (self.subplot_border_left + self.subplot_border_right)
self.subplot_height = self.row_height - (self.subplot_border_lower + self.subplot_border_upper)
def __init__(self, *chart_data):
self.chart_data = chart_data
Figure.__init__(self, (5.0, 4.0), facecolor="white")
self.__axes = self.add_subplot(111)
self.draw_chart()
def __init__(self):
Figure.__init__(self)
self.subfigures = []
def __init__(self, graph, width, height, dpi):
Figure.__init__(self, figsize=(width, height), dpi=dpi)
self.editAxes = False
self.graph = graph
def __init__(self, *args, **kwargs):
Figure.__init__(self, *args, **kwargs)
def __init__(self):
Figure.__init__(self)
self.subfigures = []
self.subplots_adjust(hspace=0.5)