.navbar-default {

background-color:#00004f;

}

.navbar {

min-height:75px;

}

.navbar-brand {

font-family:"Open Sans", sans-serif;

padding:10px10px;

}

.body {

font-family:"Open Sans", sans-serif;

}

.navbar-brandimg {

height:30px;

margin-top:4px;

}

.navbar .container {

padding-top:8px;

}

a {

color:#2391fe!important;

}

code {

color:#2c3e50!important;

}

.alert-info {

background: lightgrey;

}

.dropdown-menu>li>a:hover, .dropdown-menu>li>a:focus {

background: lightgrey;

}

..currentmodule::{{ module }}

..autoclass::{{ objname }}

..autosummary::

:toctree: generated/

Figure

Figure.show

Figure.add_traces

Figure.update_traces

Figure.update_layout

..autoclass::{{ objname }}

{% block methods %}

..automethod::__init__

..automethod::show

..automethod::update_layout

..automethod::add_traces

{% endblock %}

Other methods

{{ underline }}==============

..autosummary::

:toctree: generated/

plotly.graph_objects.{{ objname }}

..autoclass::{{ objname }}

..raw::html

<divclass="clearer"></div>

{# Import the theme's layout. #}

{% extends "!layout.html" %}

{%- block footer %}

<scripttype="text/javascript">

ga.src=('https:'==document.location.protocol ?'https://ssl' :'http://www')+'.google-analytics.com/ga.js';

{%- endblock %}

:mod:`{{module}}`.{{objname}}

{{ underline }}

{{ underline }}============================

..currentmodule::{{ module }}

:mod:`{{module}}`.{{objname.lower()}}

{{ underline }}

{{ underline }}================================

..autosummary::

:toctree: generated/

plotly.graph_objects.{{ objname.lower() }}

html_theme_path=sphinx_bootstrap_theme.get_html_theme_path()

html_theme_options= {

'analytics_id':'UA-39373211-1',

'logo':'logo.png',

'page_width':'70%',

'sidebar_width':'20%'

'analytics_id':'UA-39373211-1',# not supported by this theme

'bootswatch_theme':"flatly",

'source_link_position':"no"

}

defsetup(app):

app.add_stylesheet("plotly-style.css")# also can be a full URL

plotly API reference

Python API reference for `plotly`

This is the reference of plotly's API. Also see `plotly's documentation website<https://plot.ly/python>`_.

*:ref:`Plotlyexpress<px>`

*:ref:`Graphobjects: figures, traces and layout<graph-objects>`

*:ref:`Subplots<subplots>`

*:ref:`FigureFactory<ff>`

*:ref:`I/O<io>`

*:ref:`PlotlyExpress: high-level interface for data visualization<px>`

*:ref:`GraphObjects: low-level interface to figures, traces and layout<graph-objects>`

*:ref:`Subplots: helper function for layout out multi-plot figures<subplots>`

*:ref:`FigureFactories: helper methods for building specific complex charts<ff>`

*:ref:`I/O: low-level interface for displaying, reading and writing figures<io>`

Full reference list

..toctree::

.. _px:

Plotly express:`plotly.express`

`plotly.express`: high-level interface for data visualization

The `plotly.express<https://plot.ly/python/plotly-express/>`_ module is

choropleth

density_contour

density_heatmap

imshow

.. _ff:

..currentmodule::plotly.figure_factory

create_streamline

create_table

create_ternary_contour

create_trisurf

create_trisurf

create_violin

.. _graph-objects:

Graph objects: figures, traces and layout

`plotly.graph_objects`: low-level interface to figures, traces and layout

..currentmodule::plotly.graph_objects

..toctree::

Figure

..autosummary::

:toctree: generated/

:template: class_figure.rst

Layout

Bar

Pie

Heatmap

Image

Contour

Table

Violin

Histogram

Histogram2d

Finance

.. _io:

..currentmodule::plotly.io

show

..automodule::plotly.io

.. _subplots:

Subplots:`plotly.subplots`

`plotly.subplots`: helper function for laying out multi-plot figures

..currentmodule::plotly.subplots

plotly:

description:How to make 2D Histograms in Python with Plotly.

display_as:statistical

has_thumbnail:true

ipynb:~notebook_demo/24

language:python

layout:base

name:2D Histograms

plotly:

description:How to make 2D Histogram Contour plots in Python with Plotly.

display_as:statistical

has_thumbnail:true

ipynb:~notebook_demo/199

language:python

layout:base

name:2D Histogram Contour

name:python

nbconvert_exporter:python

pygments_lexer:ipython3

version:3.6.7

version:3.7.3

plotly:

description:How to format axes of 3d plots in Python with Plotly.

display_as:3d_charts

has_thumbnail:true

ipynb:~notebook_demo/96

language:python

layout:base

name:3D Axes

order:0.101

page_type:example_index

permalink:python/3d-axes/

thumbnail:thumbnail/3d-axes.png

v4upgrade:true

)

fig.show()

By default, guidelines originating from the tooltip point are drawn. It is possible to disable this behaviour with the`showspikes` parameter. In this example we only keep the`z` spikes (projection of the tooltip on the`x-y` plane). Hover on the data to show this behaviour.

import plotly.graph_objectsas go

import numpyas np

N=50

fig= go.Figure(data=[go.Mesh3d(x=(30*np.random.randn(N)),

y=(25*np.random.randn(N)),

z=(30*np.random.randn(N)),

opacity=0.5,)])

fig.update_layout(scene=dict(xaxis_showspikes=False,

yaxis_showspikes=False))

fig.show()