plotly.py/plotly/__init__.py at main · plotly/plotly.py · GitHub

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"""

https://plot.ly/python/

Plotly's Python API allows users to programmatically access Plotly's

server resources.

This package is organized as follows:

Subpackages:

- plotly: all functionality that requires access to Plotly's servers

- graph_objs: objects for designing figures and visualizing data

- matplotlylib: tools to convert matplotlib figures

Modules:

- tools: some helpful tools that do not require access to Plotly's servers

- utils: functions that you probably won't need, but that subpackages use

- version: holds the current API version

- exceptions: defines our custom exception classes

"""

from typing import TYPE_CHECKING

from _plotly_utils.importers import relative_import

import importlib.metadata

# This is the version of the plotly package

__version__ = importlib.metadata.version("plotly")

version = __version__

if TYPE_CHECKING:

from plotly import (

graph_objs,

tools,

utils,

offline,

colors,

io,

data,

)

from plotly.version import __version__

__all__ = [

"graph_objs",

"tools",

"utils",

"offline",

"colors",

"io",

"data",

"__version__",

]

# Set default template (for >= 3.7 this is done in plotly/io/__init__.py)

from plotly.io import templates

templates._default = "plotly"

else:

__all__, __getattr__, __dir__ = relative_import(

__name__,

[

".graph_objs",

".graph_objects",

".tools",

".utils",

".offline",

".colors",

".io",

".data",

[".version.__version__"],

)

def plot(data_frame, kind, **kwargs):

"""

Pandas plotting backend function, not meant to be called directly.

To activate, set pandas.options.plotting.backend="plotly"

See https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/__init__.py

"""

from .express import (

scatter,

line,

area,

bar,

box,

histogram,

violin,

strip,

funnel,

density_contour,

density_heatmap,

imshow,

)

if kind == "scatter":

new_kwargs = {k: kwargs[k] for k in kwargs if k not in ["s", "c"]}

return scatter(data_frame, **new_kwargs)

if kind == "line":

return line(data_frame, **kwargs)

if kind == "area":

new_kwargs = {k: kwargs[k] for k in kwargs if k not in ["stacked"]}

return area(data_frame, **new_kwargs)

if kind == "bar":

return bar(data_frame, **kwargs)

if kind == "barh":

return bar(data_frame, orientation="h", **kwargs)

if kind == "box":

new_kwargs = {k: kwargs[k] for k in kwargs if k not in ["by"]}

return box(data_frame, **new_kwargs)

if kind in ["hist", "histogram"]:

new_kwargs = {k: kwargs[k] for k in kwargs if k not in ["by", "bins"]}

return histogram(data_frame, **new_kwargs)

if kind == "violin":

return violin(data_frame, **kwargs)

if kind == "strip":

return strip(data_frame, **kwargs)

if kind == "funnel":

return funnel(data_frame, **kwargs)

if kind == "density_contour":

return density_contour(data_frame, **kwargs)

if kind == "density_heatmap":

return density_heatmap(data_frame, **kwargs)

if kind == "imshow":

return imshow(data_frame, **kwargs)

if kind == "heatmap":

raise ValueError(

"kind='heatmap' not supported plotting.backend='plotly'. "

"Please use kind='imshow' or kind='density_heatmap'."

)

raise NotImplementedError(

"kind='%s' not yet supported for plotting.backend='plotly'" % kind

)

def boxplot_frame(data_frame, **kwargs):

"""

Pandas plotting backend function, not meant to be called directly.

To activate, set pandas.options.plotting.backend="plotly"

See https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/__init__.py

"""

from .express import box

skip = ["by", "column", "ax", "fontsize", "rot", "grid", "figsize", "layout"]

skip += ["return_type"]

new_kwargs = {k: kwargs[k] for k in kwargs if k not in skip}

return box(data_frame, **new_kwargs)

def hist_frame(data_frame, **kwargs):

"""

Pandas plotting backend function, not meant to be called directly.

To activate, set pandas.options.plotting.backend="plotly"

See https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/__init__.py

"""

from .express import histogram

skip = ["column", "by", "grid", "xlabelsize", "xrot", "ylabelsize", "yrot"]

skip += ["ax", "sharex", "sharey", "figsize", "layout", "bins", "legend"]

new_kwargs = {k: kwargs[k] for k in kwargs if k not in skip}

return histogram(data_frame, **new_kwargs)

def hist_series(data_frame, **kwargs):

"""

Pandas plotting backend function, not meant to be called directly.

To activate, set pandas.options.plotting.backend="plotly"

See https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/__init__.py

"""

from .express import histogram

skip = ["by", "grid", "xlabelsize", "xrot", "ylabelsize", "yrot", "ax"]

skip += ["figsize", "bins", "legend"]

new_kwargs = {k: kwargs[k] for k in kwargs if k not in skip}

return histogram(data_frame, **new_kwargs)

def _jupyter_labextension_paths():

"""Called by Jupyter Lab Server to detect if it is a valid labextension and

to install the extension.

"""

return [

{

"src": "labextension/static",

"dest": "jupyterlab-plotly",

}

]

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