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‎apidoc/_static/favicon.ico

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‎apidoc/_static/logo.png

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‎apidoc/_static/plotly-style.css

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.navbar-default {
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background-color: #00004f;
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}
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.navbar {
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min-height: 75px;
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}
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.navbar-brand {
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font-family: "Open Sans", sans-serif;
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padding: 10px 10px;
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}
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.body {
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font-family: "Open Sans", sans-serif;
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}

‎apidoc/_templates/layout.html

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{# Import the theme's layout. #}
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{% extends "!layout.html" %}
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{%- block footer %}
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<script type="text/javascript">
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var _gaq = _gaq || [];
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_gaq.push(['_setAccount', 'UA-39373211-1']);
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_gaq.push(['_setDomainName', 'none']);
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_gaq.push(['_setAllowLinker', true]);
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_gaq.push(['_trackPageview']);
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(function() {
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var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
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ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
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var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
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})();
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</script>
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{%- endblock %}
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‎apidoc/_templates/trace.rst

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{{ underline }}
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.. autosummary::
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:toctree: generated/
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2019
plotly.graph_objects.{{ objname.lower() }}
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‎apidoc/conf.py

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#
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import os
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import sys
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import sphinx_bootstrap_theme
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# sys.path.insert(0, os.path.abspath("../packages/python/plotly"))
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2020

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# -- Project information -----------------------------------------------------
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project = "plotly"
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project = ""
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copyright = "2019, plotly team"
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author = "plotly team"
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# The theme to use for HTML and HTML Help pages. See the documentation for
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# a list of builtin themes.
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#
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html_theme = "alabaster"
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html_theme = "bootstrap"
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html_theme_path = sphinx_bootstrap_theme.get_html_theme_path()
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html_logo='_static/logo.png'
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# Theme options are theme-specific and customize the look and feel of a theme
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# further. For a list of options available for each theme, see the
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# documentation.
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#
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html_theme_options = {
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#'nosidebar': True,
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'analytics_id':'UA-39373211-1',
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'logo':'logo.png',
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'page_width': '70%',
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'sidebar_width':'20%'
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'analytics_id':'UA-39373211-1', # not supported by this theme
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'bootswatch_theme': "flatly",
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'source_link_position': "no"
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}
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# Add any paths that contain custom static files (such as style sheets) here,
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#
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# html_sidebars = {}
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html_favicon = "_static/favicon.ico"
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# -- Options for HTMLHelp output ---------------------------------------------
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# If true, `todo` and `todoList` produce output, else they produce nothing.
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todo_include_todos = True
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def setup(app):
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app.add_stylesheet("plotly-style.css") # also can be a full URL

‎apidoc/graph_objects.rst

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Violin
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Histogram
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Histogram2d
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Histogram2dcontour
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Histogram2dContour
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Finance
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-------

‎apidoc/io.rst

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show
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.. automodule:: plotly.io
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:members:
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:no-members:
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‎python/2D-Histogram.md

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plotly:
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description: How to make 2D Histograms in Python with Plotly.
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display_as: statistical
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has_thumbnail: true
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language: python
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layout: base
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name: 2D Histograms

‎python/2d-histogram-contour.md

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plotly:
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description: How to make 2D Histogram Contour plots in Python with Plotly.
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display_as: statistical
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has_thumbnail: true
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language: python
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name: 2D Histogram Contour

‎python/3d-axes.md

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name: python
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nbconvert_exporter: python
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pygments_lexer: ipython3
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version: 3.6.7
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version: 3.7.3
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plotly:
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description: How to format axes of 3d plots in Python with Plotly.
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display_as: 3d_charts
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has_thumbnail: true
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language: python
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layout: base
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name: 3D Axes
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page_type: example_index
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permalink: python/3d-axes/
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thumbnail: thumbnail/3d-axes.png
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v4upgrade: true
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---
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### Range of axes
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)
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fig.show()
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```
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### Disabling tooltip spikes
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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.
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```python
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import plotly.graph_objects as go
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import numpy as np
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N = 50
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fig = go.Figure(data=[go.Mesh3d(x=(30*np.random.randn(N)),
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y=(25*np.random.randn(N)),
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z=(30*np.random.randn(N)),
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opacity=0.5,)])
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fig.update_layout(scene=dict(xaxis_showspikes=False,
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yaxis_showspikes=False))
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fig.show()
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```
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```python
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```

‎python/3d-bubble-charts.md

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description: How to make 3D Bubble Charts in Python with Plotly. Three examples
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of 3D Bubble Charts.
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display_as: 3d_charts
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language: python
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name: 3D Bubble Charts

‎python/3d-camera-controls.md

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description: How to Control the Camera in your 3D Charts in Python with Plotly.
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display_as: 3d_charts
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name: 3D Camera Controls

‎python/3d-isosurface-plots.md

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description: How to make 3D Isosurface Plots in Python with Plotly.
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display_as: 3d_charts
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language: python
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name: 3D Isosurface Plots

‎python/3d-line-plots.md

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description: How to make 3D Line Plots
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display_as: 3d_charts
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language: python
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name: 3D Line Plots

‎python/3d-mesh.md

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description: How to make 3D Mesh Plots
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display_as: 3d_charts
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language: python
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layout: base
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name: 3D Mesh Plots
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### Simple 3D Mesh example ###

‎python/3d-scatter-plots.md

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name: 3D Scatter Plots
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## 3D scatter plot with Plotly Express

‎python/3d-subplots.md

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description: 3D Subplots in Plotly
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language: python
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layout: base
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name: 3D Subplots
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#### 3D Surface Subplots

‎python/3d-surface-coloring.md

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name: 3D Surface Coloring

‎python/3d-surface-plots.md

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name: 3D Surface Plots
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#### Topographical 3D Surface Plot

‎python/3d-volume.md

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‎python/aggregations.md

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#### Introduction

‎python/animations.md

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#### Animated figures with Plotly Express

‎python/annotated_heatmap.md

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#### Simple Annotated Heatmap

‎python/axes.md

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and logarithmic axes, axes titles, styling and coloring axes and grid lines, and
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more.
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display_as: file_settings
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#### Toggling Axes Lines, Ticks, Labels, and Autorange

‎python/bar-charts.md

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display_as: basic
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### Bar chart with Plotly Express

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