def __init__(self,
blank_labels=options.get_option('chart.blank_labels'),
layout='slide_50%'):
"""Create a Radar Chart instance.
Note:
Radar charts plot each vertex in counter-clockwise order starting
from the top.
Args:
blank_labels (bool): When true removes the title,
subtitle, axes, and source labels from the chart.
Default False.
layout (str): Change size & aspect ratio of the chart for
fitting into slides.
- 'slide_100%'
- 'slide_75%'
- 'slide_50%' (Suggested for Radar Charts)
- 'slide_25%'
"""
# Validate axis type input
valid_axis_types = ['linear', 'log']
self._axis_type = 'linear'
self._x_axis_type, self._y_axis_type = self._axis_type, self._axis_type
if self._axis_type not in valid_axis_types:
raise ValueError('axis_type must be one of {options}'.format(
options=valid_axis_types))
self._blank_labels = options._get_value(blank_labels)
self.style = Style(self, layout)
self.figure = self._initialize_figure(self._axis_type, self._axis_type)
self.style._apply_settings('chart')
self.callout = Callout(self)
self.axes = BaseAxes._get_axis_class(self._axis_type,
self._axis_type)(self)
self.plot = PlotRadar(self)
self._source = self._add_source_to_figure()
self._subtitle_glyph = self._add_subtitle_to_figure()
self.figure.toolbar.logo = None # Remove bokeh logo from toolbar.
# Reverse the order of vertical legends. Used with stacked plot types
# to ensure that the stack order is consistent with the legend order.
self._reverse_vertical_legend = False
# Logos disabled for now.
# self.logo = Logo(self)
# Set default for title
title = """ch.set_title('Takeaway')"""
if self._blank_labels:
title = ""
self.set_title(title)
def __init__(self,
blank_labels=options.get_option('chart.blank_labels'),
layout='slide_100%',
x_axis_type='linear',
y_axis_type='linear',
second_y_axis=False):
"""Create a chart instance.
Args:
blank_labels (bool): When true removes the title,
subtitle, axes, and source labels from the chart.
Default False.
layout (str): Change size & aspect ratio of the chart for
fitting into slides.
- 'slide_100%'
- 'slide_75%'
- 'slide_50%'
- 'slide_25%'
x_axis_type (enum, str): Type of data plotted on the X-axis.
- 'linear':
- 'log':
- 'datetime': Use for datetime formatted data.
- 'categorical':
- 'density'
y_axis_type (enum, str): Type of data plotted on the Y-axis.
- 'linear':
- 'log':
- 'categorical':
- 'density'
Note:
Combination of x_axis_type and y_axis_type will determine the
plotting methods available.
"""
# Validate axis type input
valid_x_axis_types = [
'linear', 'log', 'datetime', 'categorical', 'density'
]
valid_y_axis_types = ['linear', 'log', 'categorical', 'density']
valid_second_y_axis_types = ['linear', 'log']
if x_axis_type not in valid_x_axis_types:
raise ValueError('x_axis_type must be one of {options}'.format(
options=valid_x_axis_types))
if y_axis_type not in valid_y_axis_types:
raise ValueError('y_axis_type must be one of {options}'.format(
options=valid_y_axis_types))
self._second_y_axis_type = None
if second_y_axis:
self._second_y_axis_type = y_axis_type
if self._second_y_axis_type not in valid_second_y_axis_types:
raise ValueError('second_y_axis can only be used when \
y_axis_type is one of {options}'.format(
options=valid_second_y_axis_types))
self._x_axis_type, self._y_axis_type = x_axis_type, y_axis_type
self._blank_labels = options._get_value(blank_labels)
self.style = Style(self, layout)
self.figure = self._initialize_figure(self._x_axis_type,
self._y_axis_type)
self.style._apply_settings('chart')
self.plot = BasePlot._get_plot_class(self._x_axis_type,
self._y_axis_type)(self)
self.callout = Callout(self)
self.axes = BaseAxes._get_axis_class(self._x_axis_type,
self._y_axis_type)(self)
if self._second_y_axis_type in valid_second_y_axis_types:
self.second_axis = SecondAxis()
self.second_axis.axes = SecondYNumericalAxis(self)
self.second_axis.plot = BasePlot._get_plot_class(
self._x_axis_type,
self._second_y_axis_type)(self,
self.second_axis.axes._y_range_name)
self._source = self._add_source_to_figure()
self._subtitle_glyph = self._add_subtitle_to_figure()
self.figure.toolbar.logo = None # Remove bokeh logo from toolbar.
# Reverse the order of vertical legends. Used with stacked plot types
# to ensure that the stack order is consistent with the legend order.
self._reverse_vertical_legend = False
# Logos disabled for now.
# self.logo = Logo(self)
# Set default for title
title = """ch.set_title('Takeaway')"""
if self._blank_labels:
title = ""
self.set_title(title)