def _get_palette_class(cls,
chart,
palette_type='categorical',
palette=None,
accent_values=None):
if palette_type == 'categorical':
if palette is None:
palette_name = options.get_option(
'style.color_palette_categorical')
palette = colors.color_palettes[palette_name]
return CategoricalPalette(chart, palette)
elif palette_type == 'sequential':
if palette is None:
palette_name = options.get_option(
'style.color_palette_sequential')
palette = colors.color_palettes[palette_name]
return OrdinalPalette(chart, palette)
elif palette_type == 'diverging':
if palette is None:
palette_name = options.get_option(
'style.color_palette_diverging')
palette = colors.color_palettes[palette_name]
return OrdinalPalette(chart, palette)
elif palette_type == 'accent':
if palette is None:
palette_name = options.get_option('style.color_palette_accent')
palette = colors.color_palettes[palette_name]
return AccentPalette(chart, palette, accent_values)
else:
raise ValueError(
"""Type must be one of: ('categorical', 'sequential',
'diverging', 'accent').""")
def __init__(self, chart):
self._chart = chart
self._logo_image = None
self._path = options.get_option('config.logos_path')
self._logo_file_mapping = {}
self._logo_file_mapping = OrderedDict(
sorted(list(self._logo_file_mapping.items()), key=lambda t: t[0]))
def __init__(self):
self._palettes = OrderedDict()
config_filename = options.get_option('config.color_palettes')
try:
self._from_yaml(config_filename)
except FileNotFoundError:
pass
def __init__(self):
config_filename = options.get_option('config.colors')
try:
self.colors = self.from_yaml(config_filename)
except FileNotFoundError:
self.colors = {
(232, 232, 232): 'Light Grey',
(83, 88, 95): 'Dark Grey',
}
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)
def __init__(self, chart, layout):
self._chart = chart
self.color_palette = BasePalette._get_palette_class(self._chart)
self._layout = layout
self._set_width_and_height(layout)
self.settings = {
'legend': {
'figure.legend.orientation': 'horizontal',
'figure.legend.location': 'top_left',
'figure.legend.label_text_font': 'helvetica'
},
'chart': {
'figure.background_fill_color': "white",
'figure.xgrid.grid_line_color': None,
'figure.ygrid.grid_line_color': None,
'figure.border_fill_color': "white",
'figure.min_border_left': 60,
'figure.min_border_right': 60,
'figure.min_border_top': 40,
'figure.min_border_bottom': 60,
'figure.xaxis.axis_line_width': 1,
'figure.yaxis.axis_line_width': 1,
'figure.yaxis.axis_line_color': "#C0C0C0",
'figure.xaxis.axis_line_color': "#C0C0C0",
'figure.yaxis.axis_label_text_color': "#666666",
'figure.xaxis.axis_label_text_color': "#666666",
'figure.xaxis.major_tick_line_color': "#C0C0C0",
'figure.xaxis.minor_tick_line_color': "#C0C0C0",
'figure.yaxis.major_tick_line_color': "#C0C0C0",
'figure.yaxis.minor_tick_line_color': "#C0C0C0",
'figure.xaxis.major_label_text_color': '#898989',
'figure.yaxis.major_label_text_color': '#898989',
'figure.outline_line_alpha': 1,
'figure.outline_line_color': 'white',
'figure.xaxis.axis_label_text_font': 'helvetica',
'figure.yaxis.axis_label_text_font': 'helvetica',
'figure.yaxis.major_label_text_font': 'helvetica',
'figure.xaxis.major_label_text_font': 'helvetica',
'figure.yaxis.axis_label_text_font_style': 'bold',
'figure.xaxis.axis_label_text_font_style': 'bold',
'figure.yaxis.axis_label_text_font_size': "11pt",
'figure.xaxis.axis_label_text_font_size': "11pt",
'figure.yaxis.major_label_text_font_size': "10pt",
'figure.xaxis.major_label_text_font_size': "10pt",
'figure.title.text_font': 'helvetica',
'figure.title.text_color': '#333333',
'figure.title.text_font_size': "18pt",
'figure.xaxis.minor_tick_out': 1,
'figure.yaxis.minor_tick_out': 1,
'figure.xaxis.major_tick_line_width': 1,
'figure.yaxis.major_tick_line_width': 1,
'figure.xaxis.major_tick_out': 4,
'figure.yaxis.major_tick_out': 4,
'figure.xaxis.major_tick_in': 0,
'figure.yaxis.major_tick_in': 0,
},
'categorical_xaxis': {
# Used for grouped categorical axes
'figure.xaxis.separator_line_alpha': 0,
'figure.xaxis.subgroup_text_font': 'helvetica',
'figure.xaxis.group_text_font': 'helvetica',
'figure.xaxis.subgroup_text_font_size': "11pt",
'figure.xaxis.group_text_font_size': "11pt",
'figure.x_range.factor_padding': .25
},
'categorical_yaxis': {
# Used for grouped categorical axes
'figure.yaxis.separator_line_alpha': 0,
'figure.yaxis.subgroup_text_font': 'helvetica',
'figure.yaxis.group_text_font': 'helvetica',
'figure.y_range.factor_padding': .25,
'figure.yaxis.subgroup_text_font_size': "11pt",
'figure.yaxis.group_text_font_size': "11pt",
},
'categorical_xyaxis': {
# Used for grouped categorical axes
'figure.yaxis.separator_line_alpha': 0,
'figure.yaxis.subgroup_text_font': 'helvetica',
'figure.yaxis.group_text_font': 'helvetica',
'figure.yaxis.subgroup_text_font_size': "11pt",
'figure.yaxis.group_text_font_size': "11pt",
# Used for grouped categorical axes
'figure.xaxis.separator_line_alpha': 0,
'figure.xaxis.subgroup_text_font': 'helvetica',
'figure.xaxis.group_text_font': 'helvetica',
'figure.xaxis.subgroup_text_font_size': "11pt",
'figure.xaxis.group_text_font_size': "11pt",
},
'subtitle': {
'subtitle_align': 'left',
'subtitle_text_color': '#666666',
'subtitle_location': 'above',
'subtitle_text_size': '12pt',
'subtitle_text_font': 'helvetica'
},
'text_callout_and_plot': {
'font': 'helvetica',
},
'interval_plot': {
'space_between_bars': .25,
'margin': .05,
'bar_width': .9,
'space_between_categories': 1.15,
# Note each stem is drawn twice
'interval_end_stem_size': .1 / 2,
'interval_midpoint_stem_size': .03 / 2
},
'line_plot': {
'line_cap': 'round',
'line_join': 'round',
'line_width': 4,
'line_dash': 'solid'
},
'second_y_axis': {
'figure.yaxis[1].axis_label_text_color': "#666666",
'figure.yaxis[1].axis_line_color': "#C0C0C0",
'figure.yaxis[1].axis_line_width': 1,
'figure.yaxis[1].major_tick_line_color': "#C0C0C0",
'figure.yaxis[1].minor_tick_line_color': "#C0C0C0",
'figure.yaxis[1].major_label_text_color': '#898989',
'figure.yaxis[1].axis_label_text_font': 'helvetica',
'figure.yaxis[1].major_label_text_font': 'helvetica',
'figure.yaxis[1].axis_label_text_font_style': 'bold',
'figure.yaxis[1].axis_label_text_font_size': "11pt",
'figure.yaxis[1].major_label_text_font_size': "10pt",
'figure.yaxis[1].minor_tick_out': 1,
'figure.yaxis[1].major_tick_line_width': 1,
'figure.yaxis[1].major_tick_out': 4,
'figure.yaxis[1].major_tick_in': 0,
}
}
config_filename = options.get_option('config.style_settings')
try:
self._settings_from_yaml(
config_filename, apply_chart_settings=False)
except FileNotFoundError:
pass
def __init__(self, chart, palette, accent_values=None):
super(AccentPalette, self).__init__(chart, palette)
self._accent_color_map = None
self.set_accent_values(accent_values)
self.set_default_color(
options.get_option('style.color_palette_accent_default_color'))
