def _addlegend(self):
# Add the color bar
if 'z_axis_type' in pytplot.data_quants[self.tvar_name].zaxis_opt:
if pytplot.data_quants[self.tvar_name].zaxis_opt['z_axis_type'] == 'log':
color_mapper = LogColorMapper(palette=self.colors[0], low=self.zmin, high=self.zmax)
color_bar = ColorBarSideTitle(color_mapper=color_mapper, ticker=LogTicker(), border_line_color=None,
location=(0, 0))
color_bar.formatter = BasicTickFormatter(precision=2)
else:
color_mapper = LinearColorMapper(palette=self.colors[0], low=self.zmin, high=self.zmax)
color_bar = ColorBarSideTitle(color_mapper=color_mapper, ticker=BasicTicker(), border_line_color=None,
location=(0, 0))
color_bar.formatter = BasicTickFormatter(precision=4)
else:
color_mapper = LogColorMapper(palette=self.colors[0], low=self.zmin, high=self.zmax)
color_bar = ColorBarSideTitle(color_mapper=color_mapper, ticker=LogTicker(), border_line_color=None,
location=(0, 0))
color_bar.formatter = BasicTickFormatter(precision=2)
color_bar.width = 10
color_bar.major_label_text_align = 'left'
color_bar.label_standoff = 5
color_bar.major_label_text_baseline = 'middle'
color_bar.title = pytplot.data_quants[self.tvar_name].zaxis_opt['axis_label']
color_bar.title_text_font_size = str(pytplot.data_quants[self.tvar_name].extras['char_size'])+'pt'
color_bar.title_text_font_style = 'bold'
color_bar.title_standoff = 20
self.fig.add_layout(color_bar, 'right')
def test_displays_title_scientific(self, bokeh_model_page) -> None:
slider = RangeSlider(start=0,
end=10e-6,
step=1e-6,
value=(1e-6, 8e-6),
title="bar",
format=BasicTickFormatter(precision=2),
css_classes=["foo"],
width=300)
page = bokeh_model_page(slider)
el = page.driver.find_element_by_css_selector('.foo')
assert len(
el.find_elements_by_css_selector('div.bk-input-group > div')) == 2
# XXX: WebElement.text returns undecoded UTF-8 byte strings as str (!) (not bytes)
def decode(s: str) -> str:
return bytes(map(ord, s)).decode("utf-8")
t0 = decode(get_slider_title_text(page.driver, ".foo"))
t1 = decode(get_slider_title_value(page.driver, ".foo"))
assert t0 == "bar: 1.00e\u22126 .. 8.00e\u22126"
assert t1 == "1.00e\u22126 .. 8.00e\u22126"
assert page.has_no_console_errors()
def test_displays_title_scientific(self, bokeh_model_page) -> None:
slider = RangeSlider(start=0, end=10e-6, step=1e-6, value=(1e-6, 8e-6), title="bar",
format=BasicTickFormatter(precision=2), css_classes=["foo"], width=300)
page = bokeh_model_page(slider)
el = page.driver.find_element_by_css_selector('.foo')
assert len(el.find_elements_by_css_selector('div.bk-input-group > div')) == 2
assert get_title_text(page.driver, ".foo") == "bar: 1.00e-6 .. 8.00e-6"
assert get_title_value(page.driver, ".foo") == "1.00e-6 .. 8.00e-6"
assert page.has_no_console_errors()
def test_displays_title_scientific(
self, bokeh_model_page: BokehModelPage) -> None:
slider = RangeSlider(start=0,
end=10e-6,
step=1e-6,
value=(1e-6, 8e-6),
title="bar",
format=BasicTickFormatter(precision=2),
width=300)
page = bokeh_model_page(slider)
children = find_elements_for(page.driver, slider,
"div.bk-input-group > div")
assert len(children) == 2
t0 = get_slider_title_text(page.driver, slider)
t1 = get_slider_title_value(page.driver, slider)
assert t0 == "bar: 1.00e\u22126 .. 8.00e\u22126"
assert t1 == "1.00e\u22126 .. 8.00e\u22126"
assert page.has_no_console_errors()
r1 = p.line([], [], color="yellow", line_width=line_width, y_range_name = "pressures")
r2 = p.line([], [], color="skyblue", line_width=line_width, y_range_name = "temps")
r3 = p.line([], [], color="green", line_width=line_width, y_range_name = "temps")
#print('\n'*5, r1.data_source.properties_with_values()['data']['x'], '\n'*5)
## For each new range add it here
p.extra_y_ranges = {"temps": DataRange1d(only_visible = True, renderers = [r2,r3],
range_padding_units = 'percent',range_padding = range_scale),
"pressures": DataRange1d(only_visible = True, renderers = [r1],
range_padding_units = 'percent',range_padding = range_scale)}
p.add_layout(LinearAxis(y_range_name="temps", axis_label = "Temps"), 'left')
p.add_layout(LinearAxis(y_range_name="pressures", axis_label = "Pressures"), 'left')
p.yaxis.formatter = BasicTickFormatter(precision = 1)
p.grid.grid_line_color = 'gray'
p.grid.minor_grid_line_alpha = 0.4
p.grid.grid_line_alpha = 0.4
#################################
#Add data here
#################################
#r1 = p.line([Start_Time], [0], color="yellow", line_width=2, y_range_name = "pressures")
#r2 = p.line([Start_Time], [0], color="skyblue", line_width=2, y_range_name = "temps")
legend = Legend(items=[("One" , [r1]),
("Two" , [r2]),
def timing_plot(genfn):
"Draw a timing plot for a prime generator function"
if not check_fn(genfn):
return
global _lines
def plot(fig, name, vals, num, dash='solid'):
"Add a line with points to a plot"
col = _palette[num % len(_palette)]
fig.line('x', 'y', legend_label=name, source=vals, line_dash=dash, color=col)
fig.scatter('x', 'y', legend_label=name, source=vals, marker='o', color=col)
name = genfn.__name__
exist = None
args = dict(plot_width=800, plot_height=400, toolbar_location='above', title="Timing")
linfig = figure(y_range=[0, 1], x_range=DataRange1d(start=0), **args)
logfig = figure(y_range=[1e-6, 1], x_range=DataRange1d(start=1),
x_axis_type='log', y_axis_type='log', **args)
num = 0
# add previous lines
for k, v in _lines.items():
plot(linfig, k, v, num, 'dashed')
plot(logfig, k, v, num, 'dashed')
if k == name:
exist = num
num += 1
source = ColumnDataSource(data=dict(x=[], y=[]))
for fig in (linfig, logfig):
plot(fig, name, source, exist or num)
fig.xaxis.axis_label = "Primes"
fig.xaxis.formatter = NumeralTickFormatter(format='0[.]0 a')
fig.xgrid.minor_grid_line_color = 'lightgrey'
fig.xgrid.minor_grid_line_alpha = 0.2
fig.yaxis.axis_label = "Seconds"
fig.legend.location = 'bottom_right'
fig.legend.click_policy = 'hide'
fig.legend.background_fill_alpha = 0.5
linfig.yaxis.formatter = BasicTickFormatter()
logfig.yaxis.formatter = BasicTickFormatter(use_scientific=True, precision=0)
lintab = Panel(child=linfig, title="Linear")
logtab = Panel(child=logfig, title="Log")
tabs = Tabs(tabs=[lintab, logtab])
handle = None
if _incremental:
# Incremental: show plot now, then incrementally add points
handle = show(tabs, notebook_handle=True)
try:
genfn()
combined = True
except TypeError:
combined = False
if combined:
# Generate line in one go
plot_line_combined(genfn, source, handle)
else:
# Generator takes size, need to generate points separately
plot_line_separate(genfn, source, handle)
if not _incremental:
# Plot not shown yet, show it now
show(tabs)
# save line data to show on next plot
_lines[name] = source.data
x2 = np.linspace(1.5, 5.5, 5)
z = x2 + 2 * np.cos((x2 - 1) * np.pi)
source1 = ColumnDataSource({
"x": [1, 2, 3, 4, 5],
"y": [1, 2, 3, 4, 5],
"who": ["a", "b", "c", "d", "e"]
})
source2 = ColumnDataSource({"x": x, "y": y})
source3 = ColumnDataSource({"x": x2, "y": z})
source4 = ColumnDataSource({"y": [2.5], "x": [0.5]})
plot = Plot(width=300, height=300)
plot.title = Title(text="Themed glyphs")
xaxis = LinearAxis(ticker=BasicTicker(), formatter=BasicTickFormatter())
yaxis = LinearAxis(ticker=BasicTicker(), formatter=BasicTickFormatter())
plot.add_layout(xaxis, "below")
plot.add_layout(yaxis, "left")
plot.add_glyph(source1, Scatter(x="x", y="y", marker="diamond", size=20))
plot.add_glyph(source1, Text(x=dodge("x", -0.2), y=dodge("y", 0.1),
text="who"))
plot.add_glyph(source2, Line(x="x", y="y"))
plot.add_glyph(source3, Ellipse(x="x",
y="y",
width=0.2,
height=0.3,
angle=-0.7))
plot.add_glyph(source4, glyph=HBar(y="y", right="x", height=1.5))
right='Count',
height=0.6,
source=source_emp,
color='color')
panel_emp = Panel(child=p_emp, title="Top Sponsor")
# plot, tools, panel (top titles)
p_title = figure(
y_range=df_title['JOB_TITLE'][-top_n_plot:].tolist(),
plot_height=600,
plot_width=800,
x_axis_label='Quantity',
title="Top {} Sponsored Job Titles (2015-2017)".format(top_n_plot),
tools='ywheel_zoom, xwheel_zoom, pan, save, reset',
active_scroll='ywheel_zoom')
p_title.xaxis[0].formatter = BasicTickFormatter(
use_scientific=False) # disable scientific notation
p_title.add_tools(
HoverTool(tooltips=[('job title', '@JOB_TITLE'), ('frequency', '@Count')]))
p_title.hbar(y='JOB_TITLE',
right='Count',
height=0.6,
source=source_title,
color='color')
panel_title = Panel(child=p_title, title="Top Job Title")
# =============================================================================
# search box, message, button, data table, match table
# =============================================================================
search_employer = TextInput(value='',
title="Sponsor Search (separate by comma):")
search_title = TextInput(value='', title="Title Search (separate by comma):")