def __init__(self, df=None, engine=None, chart_type=None, style=None):
self.df = None
self.engine = ChartConstants().chartfactory_default_engine
self.style = Style()
self.chart_type = 'line' # default chart type is line chart
self.is_plotted = False
if df is not None: self.df = df
if engine is not None: self.engine = engine
if chart_type is not None: self.chart_type = chart_type
if style is not None: self.style = style
pass
def plotly_username(self, plotly_username):
self.__plotly_username = plotly_username
try:
self.plotly_api_key = ChartConstants(
).plotly_creds[plotly_username]
except:
pass
class Chart(object):
"""Creates chart using several underlying plotting libraries (Matplotlib, Plotly and Bokeh) using the same interface
"""
def __init__(self, df=None, engine=None, chart_type=None, style=None):
self.df = None
self.engine = ChartConstants().chartfactory_default_engine
self.style = Style()
self.chart_type = 'line' # default chart type is line chart
self.is_plotted = False
if df is not None: self.df = df
if engine is not None: self.engine = engine
if chart_type is not None: self.chart_type = chart_type
if style is not None: self.style = style
pass
##### implemented chart types:
##### heatmap (Plotly)
##### line (Bokeh, Matplotlib, Plotly, vispy)
##### bar (Bokeh, Matplotlib, Plotly)
##### stacked (Bokeh, Matplotlib, Plotly)
##### surface (Plotly)
def plot(self,
df=None,
engine=None,
chart_type=None,
style=None,
twitter_msg=None,
twitter_on=False):
if style is None: style = self.style
if df is None: df = self.df
if engine is None:
try:
engine = style.engine
except:
engine = self.engine
if chart_type is None:
chart_type = self.chart_type
try:
if style.chart_type is not None:
chart_type = style.chart_type
except:
pass
if isinstance(df, list):
for i in range(0, len(df)):
if isinstance(df[i], pandas.Series):
df[i] = pandas.DataFrame(df[i])
else:
if isinstance(df, pandas.Series):
df = pandas.DataFrame(df)
if engine is None:
fig = self.get_engine(engine).plot_chart(df, style, chart_type)
else:
if isinstance(engine, str):
fig = self.get_engine(engine).plot_chart(df, style, chart_type)
else:
fig = self.engine.plot_chart(df, style, chart_type)
if twitter_on:
twitter = Twitter()
twitter.auto_set_key()
twitter.update_status(twitter_msg, picture=style.file_output)
self.is_plotted = True
return fig
def get_engine(self, engine):
if engine is None:
return self.get_engine(self.engine)
elif engine == 'matplotlib':
return EngineMatplotlib()
elif engine == 'bokeh':
return EngineBokeh()
elif engine == 'bqplot':
return EngineBqplot()
elif engine == 'vispy':
return EngineVisPy()
elif engine == 'plotly':
return EnginePlotly()
return None
# TODO fix this
def _iplot(self, data_frame, engine=None, chart_type=None, style=None):
return Chart.get_engine(engine).plot_chart(data_frame, style,
chart_type)
EngineTemplate
Implemented by EngineBokeh, EnglineMatplotlib and EnginePlotly to do underlying plotting
"""
import abc
from math import log10, floor
import numpy
import pandas
from chartpy.style import Style
from chartpy.chartconstants import ChartConstants
cc = ChartConstants()
class EngineTemplate(object):
def init(self):
return
@abc.abstractmethod
def plot_chart(self, data_frame, style, type):
return
def get_bar_indices(self, data_frame, style, chart_type, bar_ind):
has_bar = 'no-bar'
xd = data_frame.index
no_of_bars = len(data_frame.columns)
class Style(object):
cc = ChartConstants()
def __init__(
self,
# captions
title='',
x_title='',
y_title='',
z_title='',
units='',
# type of plot (can be defined as list)
engine=None,
chart_type=None,
# colors
color=[],
color_2=[],
color_2_series=[],
exclude_from_color=[],
normalize_colormap=True,
# bubble charts
bubble_series=None,
bubble_size_scalar=cc.chartfactory_bubble_size_scalar,
# candlestick charts
candlestick_series=None,
candlestick_increasing_color=None,
candlestick_increasing_line_color=None,
candlestick_decreasing_color=None,
candlestick_decreasing_line_color=None,
# subplot
subplots=False,
share_subplot_x=False,
# display sizes
scale_factor=cc.chartfactory_scale_factor,
dpi=cc.chartfactory_dpi,
width=cc.chartfactory_width,
height=cc.chartfactory_height,
resample=None,
thin_margin=False,
# should we block display of new screens?
block_new_plots=False,
# show this be an animation?
animate_figure=False,
animate_titles=None,
animate_frame_ms=250,
# lines and multiple y-axis
y_axis_2_series=[],
linewidth_2_series=[],
linewidth=None,
linewidth_2=None,
marker_size=1,
line_of_best_fit=False,
line_shape=None,
# grid
x_axis_showgrid=True,
y_axis_showgrid=True,
y_axis_2_showgrid=True,
z_axis_showgrid=True,
# vertical and horizontal lines from axis
x_y_line=[],
x_axis_range=None,
y_axis_range=None,
z_axis_range=None,
# connect gaps
connect_line_gaps=False,
# labelling of sources
brand_label=cc.chartfactory_brand_label,
display_brand_label=cc.chartfactory_display_brand_label,
source=cc.chartfactory_source,
source_color='black',
display_source_label=cc.chartfactory_display_source_label,
display_legend=True,
# matplotlib only
xkcd=False,
# display output
silent_display=False,
file_output=None,
date_formatter=None,
# output
html_file_output=None,
display_mpld3=False,
auto_generate_filename=False,
auto_generate_html_filename=False,
save_fig=True,
# plotly only
plotly_url=None,
plotly_as_image=False,
plotly_username=cc.plotly_default_username,
plotly_api_key=None,
plotly_world_readable=cc.plotly_world_readable,
plotly_sharing=cc.plotly_sharing,
plotly_theme=None,
plotly_plot_mode=cc.plotly_plot_mode,
plotly_webgl=cc.plotly_webgl,
plotly_helper=cc.plotly_helper,
# bokeh
bokeh_plot_mode=cc.bokeh_plot_mode,
# plotly choropleth fields
# matplotlib only
style_sheet=cc.chartfactory_default_stylesheet,
convert_matplotlib_to_plotly=False):
self.engine = engine
# captions
self.title = title
self.x_title = x_title
self.y_title = y_title
self.z_title = z_title
self.units = units
# chart type
self.chart_type = chart_type
# colors
self.color = color
self.color_2 = color_2
self.color_2_series = color_2_series
self.exclude_from_color = exclude_from_color
self.normalize_colormap = normalize_colormap
# bubble specific fields
self.bubble_series = bubble_series
self.bubble_size_scalar = bubble_size_scalar
# candlestick specific fields
self.candlestick_series = candlestick_series
self.candlestick_increasing_color = candlestick_increasing_color
self.candlestick_increasing_line_color = candlestick_increasing_line_color
self.candlestick_decreasing_color = candlestick_decreasing_color
self.candlestick_decreasing_line_color = candlestick_decreasing_line_color
# subplots
self.subplots = subplots
self.share_subplot_x = share_subplot_x
# display sizes
self.scale_factor = scale_factor
self.dpi = dpi
self.width = width
self.height = height
self.resample = resample
self.thin_margin = thin_margin
# block display
self.block_new_plots = block_new_plots
# animation parameters
self.animate_figure = animate_figure
self.animate_titles = animate_titles
self.animate_frame_ms = animate_frame_ms
# lines and multiple y-axis
self.y_axis_2_series = y_axis_2_series
self.linewidth_2_series = linewidth_2_series
self.linewidth = linewidth
self.linewidth_2 = linewidth_2
self.marker_size = marker_size
self.line_of_best_fit = line_of_best_fit
self.line_shape = line_shape
# grids
self.x_axis_showgrid = x_axis_showgrid
self.y_axis_showgrid = y_axis_showgrid
self.z_axis_showgrid = z_axis_showgrid
self.y_axis_2_showgrid = y_axis_2_showgrid
# arbitrary line
self.x_y_line = x_y_line
self.x_axis_range = x_axis_range
self.y_axis_range = y_axis_range
self.z_axis_range = z_axis_range
# connect line gaps
self.connect_line_gaps = connect_line_gaps
# labelling of sources
self.brand_label = brand_label
self.display_brand_label = display_brand_label
self.source = source
self.source_color = source_color
self.display_source_label = display_source_label
self.display_legend = display_legend
# matplotlib only
self.xkcd = xkcd
# display output
self.silent_display = silent_display
self.file_output = file_output
self.save_fig = save_fig
self.date_formatter = date_formatter
# output
self.html_file_output = html_file_output
self.display_mpld3 = display_mpld3
self.auto_generate_filename = auto_generate_filename
self.auto_generate_html_filename = auto_generate_html_filename
# bokeh only
self.bokeh_plot_mode = bokeh_plot_mode # 'online', 'offline_html', 'offline_jupyter'
# plotly only
if plotly_url is None:
plotly_url = title + datetime.datetime.utcnow().strftime(
"%b-%d-%Y-%H-%M-%S")
self.plotly_url = plotly_url
self.plotly_as_image = plotly_as_image
self.plotly_username = plotly_username
self.plotly_webgl = plotly_webgl
self.plotly_helper = plotly_helper
# try to get API key from GraphicsConstants file
try:
if plotly_api_key is None:
plotly_api_key = ChartConstants().plotly_creds[plotly_username]
except:
pass
self.plotly_api_key = plotly_api_key
self.plotly_world_readable = plotly_world_readable
self.plotly_sharing = plotly_sharing
self.plotly_theme = plotly_theme
self.plotly_plot_mode = plotly_plot_mode # 'dash', 'online', 'offline_html', 'offline_jupyter'
# matplotlib only
self.style_sheet = style_sheet
self.convert_matplotlib_to_plotly = convert_matplotlib_to_plotly
def str_list(self, original):
# if is of the form pandas index
try:
original = original.tolist()
except:
pass
if isinstance(original, list):
original = [str(x) for x in original]
return original
##### general captions
@property
def engine(self):
return self.__engine
@engine.setter
def engine(self, engine):
self.__engine = engine
##### general captions
@property
def title(self):
return self.__title
@title.setter
def title(self, title):
self.__title = title
@property
def x_title(self):
return self.__x_title
@x_title.setter
def x_title(self, x_title):
self.__x_title = x_title
@property
def y_title(self):
return self.__y_title
@y_title.setter
def y_title(self, y_title):
self.__y_title = y_title
@property
def z_title(self):
return self.__z_title
@y_title.setter
def z_title(self, z_title):
self.__z_title = z_title
@property
def units(self):
return self.__units
@units.setter
def units(self, units):
self.__units = units
###### chart type
@property
def chart_type(self):
return self.__chart_type
@chart_type.setter
def chart_type(self, chart_type):
self.__chart_type = chart_type
###### colors
@property
def color(self):
return self.__color
@color.setter
def color(self, color):
self.__color = color
@property
def color_2(self):
return self.__color_2
@color_2.setter
def color_2(self, color_2):
self.__color_2 = color_2
@property
def color_2_series(self):
return self.__color_2_series
@color_2_series.setter
def color_2_series(self, color_2_series):
self.__color_2_series = self.str_list(color_2_series)
@property
def exclude_from_color(self):
return self.__exclude_from_color
@exclude_from_color.setter
def exclude_from_color(self, exclude_from_color):
self.__exclude_from_color = self.str_list(exclude_from_color)
@property
def normalize_colormap(self):
return self.__normalize_colormap
@normalize_colormap.setter
def normalize_colormap(self, normalize_colormap):
self.__normalize_colormap = self.str_list(normalize_colormap)
###### bubble specific series
@property
def bubble_series(self):
return self.__bubble_series
@bubble_series.setter
def bubble_series(self, bubble_series):
self.__bubble_series = self.str_list(bubble_series)
@property
def bubble_size_scalar(self):
return self.__bubble_size_scalar
@bubble_size_scalar.setter
def bubble_size_scalar(self, bubble_size_scalar):
self.__bubble_size_scalar = bubble_size_scalar
###### candlestick specific series
@property
def candlestick_series(self):
return self.__candlestick_series
@candlestick_series.setter
def candlestick_series(self, candlestick_series):
self.__candlestick_series = self.str_list(candlestick_series)
@property
def candlestick_increasing_color(self):
return self.__candlestick_increasing_color
@candlestick_increasing_color.setter
def candlestick_increasing_color(self, candlestick_increasing_color):
self.__candlestick_increasing_color = candlestick_increasing_color
@property
def candlestick_increasing_line_color(self):
return self.__candlestick_increasing_line_color
@candlestick_increasing_line_color.setter
def candlestick_increasing_line_color(self,
candlestick_increasing_line_color):
self.__candlestick_increasing_line_color = candlestick_increasing_line_color
@property
def candlestick_decreasing_color(self):
return self.__candlestick_decreasing_color
@candlestick_decreasing_color.setter
def candlestick_decreasing_color(self, candlestick_decreasing_color):
self.__candlestick_decreasing_color = candlestick_decreasing_color
@property
def candlestick_decreasing_line_color(self):
return self.__candlestick_decreasing_line_color
@candlestick_decreasing_line_color.setter
def candlestick_decreasing_line_color(self,
candlestick_decreasing_line_color):
self.__candlestick_decreasing_line_color = candlestick_decreasing_line_color
###### subplots
@property
def subplots(self):
return self.__subplots
@subplots.setter
def subplots(self, subplots):
self.__subplots = subplots
@property
def share_subplot_x(self):
return self.__share_subplot_x
@share_subplot_x.setter
def share_subplot_x(self, share_subplot_x):
self.__share_subplot_x = share_subplot_x
###### chart size
@property
def scale_factor(self):
return self.__scale_factor
@scale_factor.setter
def scale_factor(self, scale_factor):
self.__scale_factor = scale_factor
@property
def dpi(self):
return self.__dpi
@dpi.setter
def dpi(self, dpi):
self.__dpi = dpi
@property
def width(self):
return self.__width
@width.setter
def width(self, width):
self.__width = width
@property
def height(self):
return self.__height
@height.setter
def height(self, height):
self.__height = height
@property
def thin_margin(self):
return self.__thin_margin
@thin_margin.setter
def thin_margin(self, thin_margin):
self.__thin_margin = thin_margin
@property
def block_new_plots(self):
return self.__block_new_plots
@block_new_plots.setter
def block_new_plots(self, block_new_plots):
self.__block_new_plots = block_new_plots
@property
def animate_figure(self):
return self.__animate_figure
@animate_figure.setter
def animate_figure(self, animate_figure):
self.__animate_figure = animate_figure
@property
def animate_titles(self):
return self.__animate_titles
@animate_titles.setter
def animate_titles(self, animate_titles):
self.__animate_titles = animate_titles
@property
def animate_frame_ms(self):
return self.__animate_frame_ms
@animate_frame_ms.setter
def animate_frame_ms(self, animate_frame_ms):
self.__animate_frame_ms = animate_frame_ms
###### resample frequency
@property
def resample(self):
return self.__resample
@resample.setter
def resample(self, resample):
self.__resample = resample
###### line properties and second y-axis
@property
def y_axis_2_series(self):
return self.__y_axis_2_series
@y_axis_2_series.setter
def y_axis_2_series(self, y_axis_2_series):
self.__y_axis_2_series = self.str_list(y_axis_2_series)
@property
def linewidth_2_series(self):
return self.__linewidth_2_series
@linewidth_2_series.setter
def linewidth_2_series(self, linewidth_2_series):
self.__linewidth_2_series = self.str_list(linewidth_2_series)
@property
def linewidth(self):
return self.__linewidth
@linewidth.setter
def linewidth(self, linewidth):
self.__linewidth = linewidth
@property
def linewidth_2(self):
return self.__linewidth_2
@linewidth_2.setter
def linewidth_2(self, linewidth_2):
self.__linewidth_2 = linewidth_2
@property
def marker_size(self):
return self.__marker_size
@marker_size.setter
def marker_size(self, marker_size):
self.__marker_size = marker_size
@property
def line_of_best_fit(self):
return self.__line_of_best_fit
@line_of_best_fit.setter
def line_of_best_fit(self, line_of_best_fit):
self.__line_of_best_fit = line_of_best_fit
@property
def line_shape(self):
return self.__line_shape
@line_shape.setter
def line_shape(self, line_shape):
self.__line_shape = line_shape
###### grids
@property
def x_axis_showgrid(self):
return self.__x_axis_showgrid
@x_axis_showgrid.setter
def x_axis_showgrid(self, x_axis_showgrid):
self.__x_axis_showgrid = x_axis_showgrid
@property
def y_axis_showgrid(self):
return self.__y_axis_showgrid
@y_axis_showgrid.setter
def y_axis_showgrid(self, y_axis_showgrid):
self.__y_axis_showgrid = y_axis_showgrid
@property
def z_axis_showgrid(self):
return self.__z_axis_showgrid
@z_axis_showgrid.setter
def z_axis_showgrid(self, z_axis_showgrid):
self.__z_axis_showgrid = z_axis_showgrid
@property
def y_axis_2_showgrid(self):
return self.__y_axis_2_showgrid
@y_axis_2_showgrid.setter
def y_axis_2_showgrid(self, y_axis_2_showgrid):
self.__y_axis_2_showgrid = y_axis_2_showgrid
###### vertical and horizontal lines
@property
def x_y_line(self):
return self.__x_y_line
@x_y_line.setter
def x_y_line(self, x_y_line):
self.__x_y_line = x_y_line
@property
def x_axis_range(self):
return self.__x_axis_range
@x_axis_range.setter
def x_axis_range(self, x_axis_range):
self.__x_axis_range = x_axis_range
@property
def y_axis_range(self):
return self.__y_axis_range
@y_axis_range.setter
def y_axis_range(self, y_axis_range):
self.__y_axis_range = y_axis_range
@property
def z_axis_range(self):
return self.__z_axis_range
@y_axis_range.setter
def z_axis_range(self, z_axis_range):
self.__z_axis_range = z_axis_range
###### connect line gaps
@property
def connect_line_gaps(self):
return self.__connect_line_gaps
@connect_line_gaps.setter
def connect_line_gaps(self, connect_line_gaps):
self.__connect_line_gaps = connect_line_gaps
###### label properties
@property
def brand_label(self):
return self.__brand_label
@brand_label.setter
def brand_label(self, brand_label):
self.__brand_label = brand_label
@property
def display_brand_label(self):
return self.__display_brand_label
@display_brand_label.setter
def display_brand_label(self, display_brand_label):
self.__display_brand_label = display_brand_label
@property
def source(self):
return self.__source
@source.setter
def source(self, source):
self.__source = source
@property
def source(self):
return self.__source_color
@source.setter
def source(self, source_color):
self.__source_color = source_color
@property
def display_source_label(self):
return self.__display_source_label
@display_source_label.setter
def display_source_label(self, display_source_label):
self.__display_source_label = display_source_label
@property
def display_legend(self):
return self.__display_legend
@display_legend.setter
def display_legend(self, display_legend):
self.__display_legend = display_legend
###### matplotlib only
@property
def xkcd(self):
return self.__xkcd
@xkcd.setter
def xkcd(self, xkcd):
self.__xkcd = xkcd
###### display output settings
@property
def silent_display(self):
return self.__silent_display
@silent_display.setter
def silent_display(self, silent_display):
self.__silent_display = silent_display
@property
def file_output(self):
return self.__file_output
@file_output.setter
def file_output(self, file_output):
self.__file_output = file_output
@property
def save_fig(self):
return self.__save_fig
@save_fig.setter
def save_fig(self, save_fig):
self.__save_fig = save_fig
@property
def date_formatter(self):
return self.__date_formatter
@date_formatter.setter
def date_formatter(self, date_formatter):
self.__date_formatter = date_formatter
###### settings for MPLD3 and HTML output
@property
def html_file_output(self):
return self.__html_file_output
@html_file_output.setter
def html_file_output(self, html_file_output):
self.__html_file_output = html_file_output
@property
def display_mpld3(self):
return self.__display_mpld3
@display_mpld3.setter
def display_mpld3(self, display_mpld3):
self.__display_mpld3 = display_mpld3
@property
def auto_generate_filename(self):
return self.__auto_generate_filename
@auto_generate_filename.setter
def auto_generate_filename(self, auto_generate_filename):
self.__auto_generate_filename = auto_generate_filename
@property
def auto_generate_html_filename(self):
return self.__auto_generate_html_filename
@auto_generate_html_filename.setter
def auto_generate_html_filename(self, auto_generate_html_filename):
self.__auto_generate_html_filename = auto_generate_html_filename
###### Plotly specific settings
@property
def plotly_url(self):
return self.__plotly_url
@plotly_url.setter
def plotly_url(self, plotly_url):
self.__plotly_url = plotly_url
@property
def plotly_as_image(self):
return self.__plotly_as_image
@plotly_as_image.setter
def plotly_as_image(self, plotly_as_image):
self.__plotly_as_image = plotly_as_image
@property
def plotly_username(self):
return self.__plotly_username
@plotly_username.setter
def plotly_username(self, plotly_username):
self.__plotly_username = plotly_username
try:
self.plotly_api_key = ChartConstants(
).plotly_creds[plotly_username]
except:
pass
@property
def plotly_api_key(self):
return self.__plotly_api_key
@plotly_api_key.setter
def plotly_api_key(self, plotly_api_key):
self.__plotly_api_key = plotly_api_key
@property
def plotly_world_readable(self):
return self.__plotly_world_readable
@plotly_world_readable.setter
def plotly_world_readable(self, plotly_world_readable):
self.__plotly_world_readable = plotly_world_readable
@property
def plotly_sharing(self):
return self.__plotly_sharing
@plotly_sharing.setter
def plotly_sharing(self, plotly_sharing):
self.__plotly_sharing = plotly_sharing
@property
def plotly_theme(self):
return self.__plotly_theme
@plotly_theme.setter
def plotly_theme(self, plotly_theme):
self.__plotly_theme = plotly_theme
@property
def plotly_plot_mode(self):
return self.__plotly_plot_mode
@plotly_plot_mode.setter
def plotly_plot_mode(self, plotly_plot_mode):
self.__plotly_plot_mode = plotly_plot_mode
@property
def plotly_webgl(self):
return self.__plotly_webgl
@plotly_webgl.setter
def plotly_webgl(self, plotly_webgl):
self.__plotly_webgl = plotly_webgl
@property
def plotly_helper(self):
return self.__plotly_helper
@plotly_helper.setter
def plotly_helper(self, plotly_helper):
self.__plotly_helper = plotly_helper
###### bokeh specific settings
@property
def bokeh_plot_mode(self):
return self.__bokeh_plot_mode
@bokeh_plot_mode.setter
def bokeh_plot_mode(self, bokeh_plot_mode):
self.__bokeh_plot_mode = bokeh_plot_mode
###### matplotlib specific settings
@property
def style_sheet(self):
return self.__style_sheet
@style_sheet.setter
def style_sheet(self, style_sheet):
self.__style_sheet = style_sheet
@property
def convert_matplotlib_to_plotly(self):
return self.__convert_matplotlib_to_plotly
@convert_matplotlib_to_plotly.setter
def convert_matplotlib_to_plotly(self, convert_matplotlib_to_plotly):
self.__convert_matplotlib_to_plotly = convert_matplotlib_to_plotly
def __init__(
self,
# captions
title='',
x_title='',
y_title='',
z_title='',
units='',
# type of plot (can be defined as list)
engine=None,
chart_type=None,
# colors
color=[],
color_2=[],
color_2_series=[],
exclude_from_color=[],
normalize_colormap=True,
# bubble charts
bubble_series=None,
bubble_size_scalar=cc.chartfactory_bubble_size_scalar,
# candlestick charts
candlestick_series=None,
candlestick_increasing_color=None,
candlestick_increasing_line_color=None,
candlestick_decreasing_color=None,
candlestick_decreasing_line_color=None,
# subplot
subplots=False,
share_subplot_x=False,
# display sizes
scale_factor=cc.chartfactory_scale_factor,
dpi=cc.chartfactory_dpi,
width=cc.chartfactory_width,
height=cc.chartfactory_height,
resample=None,
thin_margin=False,
# should we block display of new screens?
block_new_plots=False,
# show this be an animation?
animate_figure=False,
animate_titles=None,
animate_frame_ms=250,
# lines and multiple y-axis
y_axis_2_series=[],
linewidth_2_series=[],
linewidth=None,
linewidth_2=None,
marker_size=1,
line_of_best_fit=False,
line_shape=None,
# grid
x_axis_showgrid=True,
y_axis_showgrid=True,
y_axis_2_showgrid=True,
z_axis_showgrid=True,
# vertical and horizontal lines from axis
x_y_line=[],
x_axis_range=None,
y_axis_range=None,
z_axis_range=None,
# connect gaps
connect_line_gaps=False,
# labelling of sources
brand_label=cc.chartfactory_brand_label,
display_brand_label=cc.chartfactory_display_brand_label,
source=cc.chartfactory_source,
source_color='black',
display_source_label=cc.chartfactory_display_source_label,
display_legend=True,
# matplotlib only
xkcd=False,
# display output
silent_display=False,
file_output=None,
date_formatter=None,
# output
html_file_output=None,
display_mpld3=False,
auto_generate_filename=False,
auto_generate_html_filename=False,
save_fig=True,
# plotly only
plotly_url=None,
plotly_as_image=False,
plotly_username=cc.plotly_default_username,
plotly_api_key=None,
plotly_world_readable=cc.plotly_world_readable,
plotly_sharing=cc.plotly_sharing,
plotly_theme=None,
plotly_plot_mode=cc.plotly_plot_mode,
plotly_webgl=cc.plotly_webgl,
plotly_helper=cc.plotly_helper,
# bokeh
bokeh_plot_mode=cc.bokeh_plot_mode,
# plotly choropleth fields
# matplotlib only
style_sheet=cc.chartfactory_default_stylesheet,
convert_matplotlib_to_plotly=False):
self.engine = engine
# captions
self.title = title
self.x_title = x_title
self.y_title = y_title
self.z_title = z_title
self.units = units
# chart type
self.chart_type = chart_type
# colors
self.color = color
self.color_2 = color_2
self.color_2_series = color_2_series
self.exclude_from_color = exclude_from_color
self.normalize_colormap = normalize_colormap
# bubble specific fields
self.bubble_series = bubble_series
self.bubble_size_scalar = bubble_size_scalar
# candlestick specific fields
self.candlestick_series = candlestick_series
self.candlestick_increasing_color = candlestick_increasing_color
self.candlestick_increasing_line_color = candlestick_increasing_line_color
self.candlestick_decreasing_color = candlestick_decreasing_color
self.candlestick_decreasing_line_color = candlestick_decreasing_line_color
# subplots
self.subplots = subplots
self.share_subplot_x = share_subplot_x
# display sizes
self.scale_factor = scale_factor
self.dpi = dpi
self.width = width
self.height = height
self.resample = resample
self.thin_margin = thin_margin
# block display
self.block_new_plots = block_new_plots
# animation parameters
self.animate_figure = animate_figure
self.animate_titles = animate_titles
self.animate_frame_ms = animate_frame_ms
# lines and multiple y-axis
self.y_axis_2_series = y_axis_2_series
self.linewidth_2_series = linewidth_2_series
self.linewidth = linewidth
self.linewidth_2 = linewidth_2
self.marker_size = marker_size
self.line_of_best_fit = line_of_best_fit
self.line_shape = line_shape
# grids
self.x_axis_showgrid = x_axis_showgrid
self.y_axis_showgrid = y_axis_showgrid
self.z_axis_showgrid = z_axis_showgrid
self.y_axis_2_showgrid = y_axis_2_showgrid
# arbitrary line
self.x_y_line = x_y_line
self.x_axis_range = x_axis_range
self.y_axis_range = y_axis_range
self.z_axis_range = z_axis_range
# connect line gaps
self.connect_line_gaps = connect_line_gaps
# labelling of sources
self.brand_label = brand_label
self.display_brand_label = display_brand_label
self.source = source
self.source_color = source_color
self.display_source_label = display_source_label
self.display_legend = display_legend
# matplotlib only
self.xkcd = xkcd
# display output
self.silent_display = silent_display
self.file_output = file_output
self.save_fig = save_fig
self.date_formatter = date_formatter
# output
self.html_file_output = html_file_output
self.display_mpld3 = display_mpld3
self.auto_generate_filename = auto_generate_filename
self.auto_generate_html_filename = auto_generate_html_filename
# bokeh only
self.bokeh_plot_mode = bokeh_plot_mode # 'online', 'offline_html', 'offline_jupyter'
# plotly only
if plotly_url is None:
plotly_url = title + datetime.datetime.utcnow().strftime(
"%b-%d-%Y-%H-%M-%S")
self.plotly_url = plotly_url
self.plotly_as_image = plotly_as_image
self.plotly_username = plotly_username
self.plotly_webgl = plotly_webgl
self.plotly_helper = plotly_helper
# try to get API key from GraphicsConstants file
try:
if plotly_api_key is None:
plotly_api_key = ChartConstants().plotly_creds[plotly_username]
except:
pass
self.plotly_api_key = plotly_api_key
self.plotly_world_readable = plotly_world_readable
self.plotly_sharing = plotly_sharing
self.plotly_theme = plotly_theme
self.plotly_plot_mode = plotly_plot_mode # 'dash', 'online', 'offline_html', 'offline_jupyter'
# matplotlib only
self.style_sheet = style_sheet
self.convert_matplotlib_to_plotly = convert_matplotlib_to_plotly
def __init__(
self,
# Captions
title='',
x_title='',
y_title='',
y_2_title='',
z_title='',
units='',
font_family=None,
# Type of plot (can be defined as list)
engine=None,
chart_type=None,
# Drop NaN points before plotting
drop_na=False,
# Colors
color=[],
color_2=[],
color_2_series=[],
exclude_from_color=[],
normalize_colormap=True,
# Bubble charts
bubble_series=None,
bubble_size_scalar=cc.chartfactory_bubble_size_scalar,
# Candlestick charts
candlestick_series=None,
candlestick_increasing_color=None,
candlestick_increasing_line_color=None,
candlestick_decreasing_color=None,
candlestick_decreasing_line_color=None,
# Overlay figures
overlay_fig=None,
# Subplot
subplots=False,
share_subplot_x=False,
# Display sizes
scale_factor=cc.chartfactory_scale_factor,
dpi=cc.chartfactory_dpi,
width=cc.chartfactory_width,
height=cc.chartfactory_height,
resample=None,
thin_margin=False,
# Should we block display of new screens?
block_new_plots=False,
# show this be an animation?
animate_figure=False,
animate_titles=None,
animate_frame_ms=250,
# Lines and multiple y-axis
y_axis_2_series=[],
linewidth_2_series=[],
linewidth=None,
linewidth_2=None,
marker_size=1,
line_of_best_fit=False,
line_shape=None,
# Shaded regions
x_shade_dates=None,
# Grid
x_axis_showgrid=True,
y_axis_showgrid=True,
y_axis_2_showgrid=True,
z_axis_showgrid=True,
# Vertical and horizontal lines from axis
x_y_line=[],
x_axis_range=None,
y_axis_range=None,
z_axis_range=None,
y_axis_2_range=None,
# Are x-axis of style category?
x_axis_type=None,
y_axis_type=None,
x_dtick=None,
y_dtick=None,
# Connect gaps
connect_line_gaps=False,
# Labelling of sources
brand_label=cc.chartfactory_brand_label,
display_brand_label=cc.chartfactory_display_brand_label,
source=cc.chartfactory_source,
source_color='black',
display_source_label=cc.chartfactory_display_source_label,
display_legend=True,
# Legend properties
legend_x_anchor=None,
legend_y_anchor=None,
legend_x_pos=None,
legend_y_pos=None,
legend_bgcolor=None,
legend_orientation=None,
# matplotlib only
xkcd=False,
# Display output
silent_display=False,
file_output=None,
date_formatter=None,
# Output
html_file_output=None,
display_mpld3=False,
auto_generate_filename=False,
auto_generate_html_filename=False,
save_fig=True,
# plotly only
plotly_url=None,
plotly_as_image=False,
plotly_username=cc.plotly_default_username,
plotly_api_key=None,
plotly_world_readable=cc.plotly_world_readable,
plotly_sharing=cc.plotly_sharing,
plotly_theme=None,
plotly_plot_mode=cc.plotly_plot_mode,
plotly_webgl=cc.plotly_webgl,
plotly_helper=cc.plotly_helper,
# Bokeh
bokeh_plot_mode=cc.bokeh_plot_mode,
# plotly choropleth fields
# Matplotlib only
style_sheet=cc.chartfactory_default_stylesheet,
convert_matplotlib_to_plotly=False):
self.engine = engine
# Captions
self.title = title
self.x_title = x_title
self.y_title = y_title
self.y_2_title = y_2_title
self.z_title = z_title
self.units = units
self.font_family = font_family
# Chart type
self.chart_type = chart_type
# Drop NaN before plotting
self.drop_na = drop_na
# Colors
self.color = color
self.color_2 = color_2
self.color_2_series = color_2_series
self.exclude_from_color = exclude_from_color
self.normalize_colormap = normalize_colormap
# Bubble specific fields
self.bubble_series = bubble_series
self.bubble_size_scalar = bubble_size_scalar
# Candlestick specific fields
self.candlestick_series = candlestick_series
self.candlestick_increasing_color = candlestick_increasing_color
self.candlestick_increasing_line_color = candlestick_increasing_line_color
self.candlestick_decreasing_color = candlestick_decreasing_color
self.candlestick_decreasing_line_color = candlestick_decreasing_line_color
# Overlay plots
self.overlay_fig = overlay_fig
# Subplots
self.subplots = subplots
self.share_subplot_x = share_subplot_x
# Display sizes
self.scale_factor = scale_factor
self.dpi = dpi
self.width = width
self.height = height
self.resample = resample
self.thin_margin = thin_margin
# Block display
self.block_new_plots = block_new_plots
# Animation parameters
self.animate_figure = animate_figure
self.animate_titles = animate_titles
self.animate_frame_ms = animate_frame_ms
# Lines and multiple y-axis
self.y_axis_2_series = y_axis_2_series
self.linewidth_2_series = linewidth_2_series
self.linewidth = linewidth
self.linewidth_2 = linewidth_2
self.marker_size = marker_size
self.line_of_best_fit = line_of_best_fit
self.line_shape = line_shape
# Shaded regions
self.x_shade_dates = x_shade_dates
# Grids
self.x_axis_showgrid = x_axis_showgrid
self.y_axis_showgrid = y_axis_showgrid
self.z_axis_showgrid = z_axis_showgrid
self.y_axis_2_showgrid = y_axis_2_showgrid
# Arbitrary line
self.x_y_line = x_y_line
self.x_axis_range = x_axis_range
self.y_axis_range = y_axis_range
self.y_axis_2_range = y_axis_2_range
self.z_axis_range = z_axis_range
# x and y axis type (eg. category)
self.x_axis_type = x_axis_type
self.y_axis_type = y_axis_type
# Gaps between tick labels
self.x_dtick = x_dtick
self.y_dtick = y_dtick
# Connect line gaps
self.connect_line_gaps = connect_line_gaps
# Labelling of sources
self.brand_label = brand_label
self.display_brand_label = display_brand_label
self.source = source
self.source_color = source_color
self.display_source_label = display_source_label
self.display_legend = display_legend
# Legend Properties
self.legend_x_anchor = legend_x_anchor
self.legend_y_anchor = legend_y_anchor
self.legend_x_pos = legend_x_pos
self.legend_y_pos = legend_y_pos
self.legend_bgcolor = legend_bgcolor
self.legend_orientation = legend_orientation
# matplotlib only
self.xkcd = xkcd
# Display output
self.silent_display = silent_display
self.file_output = file_output
self.save_fig = save_fig
self.date_formatter = date_formatter
# Output
self.html_file_output = html_file_output
self.display_mpld3 = display_mpld3
self.auto_generate_filename = auto_generate_filename
self.auto_generate_html_filename = auto_generate_html_filename
# bokeh only
self.bokeh_plot_mode = bokeh_plot_mode # 'online', 'offline_html', 'offline_jupyter'
# plotly only
if plotly_url is None:
if isinstance(title, list):
plotly_url = str(title[0])
else:
plotly_url = title
plotly_url = plotly_url + datetime.datetime.utcnow().strftime(
"%b-%d-%Y-%H-%M-%S")
self.plotly_url = plotly_url
self.plotly_as_image = plotly_as_image
self.plotly_username = plotly_username
self.plotly_webgl = plotly_webgl
self.plotly_helper = plotly_helper
# try to get API key from GraphicsConstants file
try:
if plotly_api_key is None:
plotly_api_key = ChartConstants().plotly_creds[plotly_username]
except:
pass
self.plotly_api_key = plotly_api_key
self.plotly_world_readable = plotly_world_readable
self.plotly_sharing = plotly_sharing
self.plotly_theme = plotly_theme
self.plotly_plot_mode = plotly_plot_mode # 'dash', 'online', 'offline_html', 'offline_jupyter'
# matplotlib only
self.style_sheet = style_sheet
self.convert_matplotlib_to_plotly = convert_matplotlib_to_plotly
def __init__(
self,
# captions
title='',
x_title='',
y_title='',
units='',
# type of plot (can be defined as list)
engine=None,
chart_type=None,
# colors
color=[],
color_2=[],
color_2_series=[],
exclude_from_color=[],
# subplot
subplots=False,
# display sizes
scale_factor=cc.chartfactory_scale_factor,
dpi=cc.chartfactory_dpi,
width=cc.chartfactory_width,
height=cc.chartfactory_height,
resample=None,
thin_margin=False,
# lines and multiple y-axis
y_axis_2_series=[],
linewidth_2_series=[],
linewidth=None,
linewidth_2=None,
marker_size=1,
line_of_best_fit=False,
# labelling of sources
brand_label=cc.chartfactory_brand_label,
display_brand_label=cc.chartfactory_display_brand_label,
source=cc.chartfactory_source,
source_color='black',
display_source_label=cc.chartfactory_display_source_label,
display_legend=True,
# display output
silent_display=False,
file_output=None,
date_formatter=None,
# output
html_file_output=None,
display_mpld3=False,
# plotly only
plotly_url=None,
plotly_as_image=False,
plotly_username=cc.plotly_default_username,
plotly_api_key=None,
plotly_world_readable=cc.plotly_world_readable,
plotly_theme=None,
plotly_plot_mode=cc.plotly_plot_mode,
# bokeh
bokeh_plot_mode=cc.bokeh_plot_mode,
# plotly choropleth fields
# matplotlib only
style_sheet=cc.chartfactory_default_stylesheet,
convert_matplotlib_to_plotly=False):
self.engine = engine
# captions
self.title = title
self.x_title = x_title
self.y_title = y_title
self.units = units
# chart type
self.chart_type = chart_type
# colors
self.color = color
self.color_2 = color_2
self.color_2_series = color_2_series
self.exclude_from_color = exclude_from_color
# subplots
self.subplots = subplots
# display sizes
self.scale_factor = scale_factor
self.dpi = dpi
self.width = width
self.height = height
self.resample = resample
self.thin_margin = thin_margin
# lines and multiple y-axis
self.y_axis_2_series = y_axis_2_series
self.linewidth_2_series = linewidth_2_series
self.linewidth = linewidth
self.linewidth_2 = linewidth_2
self.marker_size = marker_size
self.line_of_best_fit = line_of_best_fit
# labelling of sources
self.brand_label = brand_label
self.display_brand_label = display_brand_label
self.source = source
self.source_color = source_color
self.display_source_label = display_source_label
self.display_legend = display_legend
# display output
self.silent_display = silent_display
self.file_output = file_output
self.date_formatter = date_formatter
# output
self.html_file_output = html_file_output
self.display_mpld3 = display_mpld3
# bokeh only
self.bokeh_plot_mode = bokeh_plot_mode # 'online', 'offline_html', 'offline_jupyter'
# plotly only
if plotly_url is None:
plotly_url = title + datetime.datetime.utcnow().strftime(
"%b-%d-%Y-%H-%M-%S")
self.plotly_url = plotly_url
self.plotly_as_image = plotly_as_image
self.plotly_username = plotly_username
# try to get API key from GraphicsConstants file
try:
if plotly_api_key is None:
plotly_api_key = ChartConstants().plotly_creds[plotly_username]
except:
pass
self.plotly_api_key = plotly_api_key
self.plotly_world_readable = plotly_world_readable
self.plotly_theme = plotly_theme
self.plotly_plot_mode = plotly_plot_mode # 'online', 'offline_html', 'offline_jupyter'
# matplotlib only
self.style_sheet = style_sheet
self.convert_matplotlib_to_plotly = convert_matplotlib_to_plotly
class Style(object):
cc = ChartConstants()
def __init__(
self,
# captions
title='',
x_title='',
y_title='',
units='',
# type of plot (can be defined as list)
engine=None,
chart_type=None,
# colors
color=[],
color_2=[],
color_2_series=[],
exclude_from_color=[],
# subplot
subplots=False,
# display sizes
scale_factor=cc.chartfactory_scale_factor,
dpi=cc.chartfactory_dpi,
width=cc.chartfactory_width,
height=cc.chartfactory_height,
resample=None,
thin_margin=False,
# lines and multiple y-axis
y_axis_2_series=[],
linewidth_2_series=[],
linewidth=None,
linewidth_2=None,
marker_size=1,
line_of_best_fit=False,
# labelling of sources
brand_label=cc.chartfactory_brand_label,
display_brand_label=cc.chartfactory_display_brand_label,
source=cc.chartfactory_source,
source_color='black',
display_source_label=cc.chartfactory_display_source_label,
display_legend=True,
# display output
silent_display=False,
file_output=None,
date_formatter=None,
# output
html_file_output=None,
display_mpld3=False,
# plotly only
plotly_url=None,
plotly_as_image=False,
plotly_username=cc.plotly_default_username,
plotly_api_key=None,
plotly_world_readable=cc.plotly_world_readable,
plotly_theme=None,
plotly_plot_mode=cc.plotly_plot_mode,
# bokeh
bokeh_plot_mode=cc.bokeh_plot_mode,
# plotly choropleth fields
# matplotlib only
style_sheet=cc.chartfactory_default_stylesheet,
convert_matplotlib_to_plotly=False):
self.engine = engine
# captions
self.title = title
self.x_title = x_title
self.y_title = y_title
self.units = units
# chart type
self.chart_type = chart_type
# colors
self.color = color
self.color_2 = color_2
self.color_2_series = color_2_series
self.exclude_from_color = exclude_from_color
# subplots
self.subplots = subplots
# display sizes
self.scale_factor = scale_factor
self.dpi = dpi
self.width = width
self.height = height
self.resample = resample
self.thin_margin = thin_margin
# lines and multiple y-axis
self.y_axis_2_series = y_axis_2_series
self.linewidth_2_series = linewidth_2_series
self.linewidth = linewidth
self.linewidth_2 = linewidth_2
self.marker_size = marker_size
self.line_of_best_fit = line_of_best_fit
# labelling of sources
self.brand_label = brand_label
self.display_brand_label = display_brand_label
self.source = source
self.source_color = source_color
self.display_source_label = display_source_label
self.display_legend = display_legend
# display output
self.silent_display = silent_display
self.file_output = file_output
self.date_formatter = date_formatter
# output
self.html_file_output = html_file_output
self.display_mpld3 = display_mpld3
# bokeh only
self.bokeh_plot_mode = bokeh_plot_mode # 'online', 'offline_html', 'offline_jupyter'
# plotly only
if plotly_url is None:
plotly_url = title + datetime.datetime.utcnow().strftime(
"%b-%d-%Y-%H-%M-%S")
self.plotly_url = plotly_url
self.plotly_as_image = plotly_as_image
self.plotly_username = plotly_username
# try to get API key from GraphicsConstants file
try:
if plotly_api_key is None:
plotly_api_key = ChartConstants().plotly_creds[plotly_username]
except:
pass
self.plotly_api_key = plotly_api_key
self.plotly_world_readable = plotly_world_readable
self.plotly_theme = plotly_theme
self.plotly_plot_mode = plotly_plot_mode # 'online', 'offline_html', 'offline_jupyter'
# matplotlib only
self.style_sheet = style_sheet
self.convert_matplotlib_to_plotly = convert_matplotlib_to_plotly
def str_list(self, original):
# if is of the form pandas index
try:
original = original.tolist()
except:
pass
if isinstance(original, list):
original = [str(x) for x in original]
return original
##### general captions
@property
def engine(self):
return self.__engine
@engine.setter
def engine(self, engine):
self.__engine = engine
##### general captions
@property
def title(self):
return self.__title
@title.setter
def title(self, title):
self.__title = title
@property
def x_title(self):
return self.__x_title
@x_title.setter
def x_title(self, x_title):
self.__x_title = x_title
@property
def y_title(self):
return self.__y_title
@y_title.setter
def y_title(self, y_title):
self.__y_title = y_title
@property
def units(self):
return self.__units
@units.setter
def units(self, units):
self.__units = units
###### chart type
@property
def chart_type(self):
return self.__chart_type
@chart_type.setter
def chart_type(self, chart_type):
self.__chart_type = chart_type
###### colors
@property
def color(self):
return self.__color
@color.setter
def color(self, color):
self.__color = color
@property
def color_2(self):
return self.__color_2
@color_2.setter
def color_2(self, color_2):
self.__color_2 = color_2
@property
def color_2_series(self):
return self.__color_2_series
@color_2_series.setter
def color_2_series(self, color_2_series):
self.__color_2_series = self.str_list(color_2_series)
@property
def exclude_from_color(self):
return self.__exclude_from_color
@exclude_from_color.setter
def exclude_from_color(self, exclude_from_color):
self.__exclude_from_color = self.str_list(exclude_from_color)
###### subplots
@property
def subplots(self):
return self.__subplots
@subplots.setter
def subplots(self, subplots):
self.__subplots = subplots
###### chart size
@property
def scale_factor(self):
return self.__scale_factor
@scale_factor.setter
def scale_factor(self, scale_factor):
self.__scale_factor = scale_factor
@property
def dpi(self):
return self.__dpi
@dpi.setter
def dpi(self, dpi):
self.__dpi = dpi
@property
def width(self):
return self.__width
@width.setter
def width(self, width):
self.__width = width
@property
def height(self):
return self.__height
@height.setter
def height(self, height):
self.__height = height
@property
def thin_margin(self):
return self.__thin_margin
@thin_margin.setter
def thin_margin(self, thin_margin):
self.__thin_margin = thin_margin
###### resample frequency
@property
def resample(self):
return self.__resample
@resample.setter
def resample(self, resample):
self.__resample = resample
###### line properties and second y-axis
@property
def y_axis_2_series(self):
return self.__y_axis_2_series
@y_axis_2_series.setter
def y_axis_2_series(self, y_axis_2_series):
self.__y_axis_2_series = self.str_list(y_axis_2_series)
@property
def linewidth_2_series(self):
return self.__linewidth_2_series
@linewidth_2_series.setter
def linewidth_2_series(self, linewidth_2_series):
self.__linewidth_2_series = self.str_list(linewidth_2_series)
@property
def linewidth(self):
return self.__linewidth
@linewidth.setter
def linewidth(self, linewidth):
self.__linewidth = linewidth
@property
def linewidth_2(self):
return self.__linewidth_2
@linewidth_2.setter
def linewidth_2(self, linewidth_2):
self.__linewidth_2 = linewidth_2
@property
def marker_size(self):
return self.__marker_size
@marker_size.setter
def marker_size(self, marker_size):
self.__marker_size = marker_size
@property
def line_of_best_fit(self):
return self.__line_of_best_fit
@line_of_best_fit.setter
def line_of_best_fit(self, line_of_best_fit):
self.__line_of_best_fit = line_of_best_fit
###### label properties
@property
def brand_label(self):
return self.__brand_label
@brand_label.setter
def brand_label(self, brand_label):
self.__brand_label = brand_label
@property
def display_brand_label(self):
return self.__display_brand_label
@display_brand_label.setter
def display_brand_label(self, display_brand_label):
self.__display_brand_label = display_brand_label
@property
def source(self):
return self.__source
@source.setter
def source(self, source):
self.__source = source
@property
def source(self):
return self.__source_color
@source.setter
def source(self, source_color):
self.__source_color = source_color
@property
def display_source_label(self):
return self.__display_source_label
@display_source_label.setter
def display_source_label(self, display_source_label):
self.__display_source_label = display_source_label
@property
def display_legend(self):
return self.__display_legend
@display_legend.setter
def display_legend(self, display_legend):
self.__display_legend = display_legend
###### display output settings
@property
def silent_display(self):
return self.__silent_display
@silent_display.setter
def silent_display(self, silent_display):
self.__silent_display = silent_display
@property
def file_output(self):
return self.__file_output
@file_output.setter
def file_output(self, file_output):
self.__file_output = file_output
@property
def date_formatter(self):
return self.__date_formatter
@date_formatter.setter
def date_formatter(self, date_formatter):
self.__date_formatter = date_formatter
###### settings for MPLD3 and HTML output
@property
def html_file_output(self):
return self.__html_file_output
@html_file_output.setter
def html_file_output(self, html_file_output):
self.__html_file_output = html_file_output
@property
def display_mpld3(self):
return self.__display_mpld3
@display_mpld3.setter
def display_mpld3(self, display_mpld3):
self.__display_mpld3 = display_mpld3
###### Plotly specific settings
@property
def plotly_url(self):
return self.__plotly_url
@plotly_url.setter
def plotly_url(self, plotly_url):
self.__plotly_url = plotly_url
@property
def plotly_as_image(self):
return self.__plotly_as_image
@plotly_as_image.setter
def plotly_as_image(self, plotly_as_image):
self.__plotly_as_image = plotly_as_image
@property
def plotly_username(self):
return self.__plotly_username
@plotly_username.setter
def plotly_username(self, plotly_username):
self.__plotly_username = plotly_username
try:
self.plotly_api_key = ChartConstants(
).plotly_creds[plotly_username]
except:
pass
@property
def plotly_api_key(self):
return self.__plotly_api_key
@plotly_api_key.setter
def plotly_api_key(self, plotly_api_key):
self.__plotly_api_key = plotly_api_key
@property
def plotly_world_readable(self):
return self.__plotly_world_readable
@plotly_world_readable.setter
def plotly_world_readable(self, plotly_world_readable):
self.__plotly_world_readable = plotly_world_readable
@property
def plotly_theme(self):
return self.__plotly_theme
@plotly_theme.setter
def plotly_theme(self, plotly_theme):
self.__plotly_theme = plotly_theme
@property
def plotly_plot_mode(self):
return self.__plotly_plot_mode
@plotly_plot_mode.setter
def plotly_plot_mode(self, plotly_plot_mode):
self.__plotly_plot_mode = plotly_plot_mode
@property
def bokeh_plot_mode(self):
return self.__bokeh_plot_mode
@bokeh_plot_mode.setter
def bokeh_plot_mode(self, bokeh_plot_mode):
self.__bokeh_plot_mode = bokeh_plot_mode
###### matplotlib specific settings
@property
def style_sheet(self):
return self.__style_sheet
@style_sheet.setter
def style_sheet(self, style_sheet):
self.__style_sheet = style_sheet
@property
def convert_matplotlib_to_plotly(self):
return self.__convert_matplotlib_to_plotly
@convert_matplotlib_to_plotly.setter
def convert_matplotlib_to_plotly(self, convert_matplotlib_to_plotly):
self.__convert_matplotlib_to_plotly = convert_matplotlib_to_plotly
class Chart(object):
df = None
engine = ChartConstants().chartfactory_default_engine
style = Style()
chart_type = 'line' # default chart type is line chart
def __init__(self, df=None, engine=None, chart_type=None, style=None):
if df is not None: self.df = df
if engine is not None: self.engine = engine
if chart_type is not None: self.chart_type = chart_type
if style is not None: self.style = style
pass
##### implemented chart types:
##### heatmap (Plotly)
##### line (Bokeh, Matplotlib, Plotly)
##### bar (Bokeh, Matplotlib, Plotly)
##### stacked (Bokeh, Matplotlib, Plotly)
##### surface (Plotly)
def plot(self,
df=None,
engine=None,
chart_type=None,
style=None,
twitter_msg=None,
twitter_on=False):
if style is None: style = self.style
if df is None: df = self.df
if engine is None:
try:
engine = style.engine
except:
engine = self.engine
if chart_type is None:
chart_type = self.chart_type
try:
if style.chart_type is not None:
chart_type = style.chart_type
except:
pass
fig = self.get_engine(engine).plot_chart(df, style, chart_type)
if twitter_on:
twitter = Twitter()
twitter.auto_set_key()
twitter.update_status(twitter_msg, picture=style.file_output)
return fig
def get_engine(self, engine):
if engine is None: return self.get_engine(self.engine)
elif engine == 'matplotlib': return EngineMatplotlib()
elif engine == 'bokeh': return EngineBokeh()
elif engine == 'plotly': return EnginePlotly()
return None
# TODO fix this
def _iplot(self, data_frame, engine=engine, chart_type=None, style=None):
return Chart.get_engine(engine).plot_chart(data_frame, style,
chart_type)
import dash_core_components as dcc
from chartpy.dashboard import SketchComponents
from chartpy.chartconstants import ChartConstants
from dash.dependencies import Input, Output
from chartpy_examples.dashboard_examples.layoutchart import LayoutChart
from flask import Flask
server = Flask(__name__)
app = dash.Dash(name=__name__, server=server, url_base_pathname='/', serve_locally=True)
app.title = 'Cuemacro'
constants = ChartConstants()
app.config.update({
'routes_pathname_prefix': '/',
'requests_pathname_prefix': '/',
})
app.config.suppress_callback_exceptions = True
sketch_components = SketchComponents(app=app, constants=constants)
# REPLACE THIS LINE WITH YOUR OWN QUANDL API KEY
quandl_api_key = constants.quandl_api_key
layout_chart = LayoutChart(app=app, constants=constants, quandl_api_key=quandl_api_key)
