Jul 10, 2025 · Jul 22, 2025 · Dec 2, 2024 · Jul 22, 2025 · Jul 22, 2025 · Jul 22, 2025
diff --git a/_plotly_utils/colors/__init__.py b/_plotly_utils/colors/__init__.py
    be coverted to the selected colortype. If colors is None, then there is an
    option to return portion of the DEFAULT_PLOTLY_COLORS

    :param (str|tuple|list) colors: either a plotly scale name, an rgb or hex
    Parameters
    ----------
    colors : str or tuple or list
        Either a plotly scale name, an rgb or hex
        color, a color tuple or a list/tuple of colors
    :param (list) scale: see docs for validate_scale_values()
    scale : list
        See docs for validate_scale_values()

    :rtype (tuple) (colors_list, scale) if scale is None in the function call,
    Returns
    -------
    A tuple of (colors_list, scale)
        If scale is None in the function call,
        then scale will remain None in the returned tuple
    """
    colors_list = []
    """
    Converts a colors in a dictionary of colors to the specified color type

    :param (dict) colors_dict: a dictionary whose values are single colors
    Parameters
    ----------
    colors_dict : dict
        A dictionary whose values are single colors
    """
    for key in colors_dict:
        if "#" in colors_dict[key]:
    """
    Validates scale values from a colorscale

    :param (list) scale: a strictly increasing list of floats that begins
    Parameters
    ----------
    scale : list
        A strictly increasing list of floats that begins
        with 0 and ends with 1. Its usage derives from a colorscale which is
        a list of two-lists (a list with two elements) of the form
        [value, color] which are used to determine how interpolation weighting
    interpolated colorscale will be generated. If 'scale' is a specificed
    list, it must be the same legnth as colors and must contain all floats
    For documentation regarding to the form of the output, see
    https://plot.ly/python/reference/#mesh3d-colorscale
 [https://plotly.com/python/reference/#mesh3d-colorscale](/reference/graph_objects/Mesh3d.md#plotly.graph_objects.Mesh3d.colorscale)

    :param (list) colors: a list of single colors
    Parameters
    ----------
    colors : list
        A list of single colors
    """
    colorscale = []

    to just x. This is the way rounding works in Python 3 and in current
    statistical analysis to avoid rounding bias

    :param (list) rgb_components: grabs the three R, G and B values to be
    Parameters
    ----------
    rgb_components : list
        Grabs the three R, G and B values to be
        returned as computed in the function
    """
    rgb_components = []
    """
    Calculates rgb values from a hex color code.

    :param (string) value: Hex color string
    Parameters
    ----------
    value : str
        Hex color string

    :rtype (tuple) (r_value, g_value, b_value): tuple of rgb values
    Returns
    -------
    A tuple of (r_value, g_value, b_value)
        Tuple of rgb values
    """
    value = value.lstrip("#")
    hex_total_length = len(value)
diff --git a/bin/run_markdown.py b/bin/run_markdown.py
 import io
 from pathlib import Path
 import plotly.graph_objects as go
 import re
 import sys
 import traceback

        print(f"Error writing output file: {e}", file=sys.stderr)
        sys.exit(1)

 def _contains_latex(code):
    """Check if code likely contains LaTeX expressions."""
    return "cdn" if '$' in code and re.search(r'\$[^$]+\$', code) else False

 def _capture_plotly_show(fig, counter, result, output_dir, stem):
 def _capture_plotly_show(fig, counter, result, output_dir, stem, mathjax_option):
    """Saves HTML figures."""
    # Save HTML and get the content for embedding
    html_filename = f"{stem}_{counter}.html"
    html_path = output_dir / html_filename
    fig.write_html(html_path, include_plotlyjs="cdn")
    html_content = fig.to_html(include_plotlyjs="cdn", div_id=f"plotly-div-{counter}", full_html=False)
    fig.write_html(html_path, include_plotlyjs="cdn", include_mathjax=mathjax_option)
    html_content = fig.to_html(include_plotlyjs="cdn",include_mathjax=mathjax_option,div_id=f"plotly-div-{counter}", full_html=False)
    result["html_files"].append(html_filename)
    result.setdefault("html_content", []).append(html_content)


 def _run_code(code, output_dir, figure_counter, stem, exec_globals):
    """Execute code capturing output and generated files."""
    mathjax_option = _contains_latex(code)

    # Capture stdout and stderr
    stdout_buffer = io.StringIO()
    stderr_buffer = io.StringIO()
                nonlocal figure_counter
                figure_counter += 1
                if stem is not None:
                    _capture_plotly_show(self, figure_counter, result, output_dir, stem)
                    _capture_plotly_show(self, figure_counter, result, output_dir, stem, mathjax_option)
            original_show = go.Figure.show
            go.Figure.show = patched_show
            exec(code, exec_globals)
diff --git a/doc/python/3d-line-plots.md b/doc/python/3d-line-plots.md

 #### Reference

 See [function reference for `px.(line_3d)`](https://plotly.com/python-api-reference/generated/plotly.express.line_3d) or [https://plotly.com/python/reference/scatter3d/#scatter3d-marker-line](reference/graph_objects/scatter3d-package/Marker.md#plotly.graph_objects.scatter3d.Marker.line) for more information and chart attribute options!
 See [function reference for `px.(line_3d)`](reference/plotly-express.md#plotly.express.line_3d) or [https://plotly.com/python/reference/scatter3d/#scatter3d-marker-line](reference/graph_objects/scatter3d-package/Marker.md#plotly.graph_objects.scatter3d.Marker.line) for more information and chart attribute options!
diff --git a/doc/python/3d-mesh.md b/doc/python/3d-mesh.md
 Get started  with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with <a class="plotly-red" href="https://plotly.com/dash/">Dash Enterprise</a>.**


 ```python hide_code=true
 <pre hide_code="true">
 ```python
 from IPython.display import IFrame
 snippet_url = 'https://python-docs-dash-snippets.herokuapp.com/python-docs-dash-snippets/'
 IFrame(snippet_url + '3d-mesh', width='100%', height=1200)
 ```
 </pre>

 <iframe src="https://python-docs-dash-snippets.herokuapp.com/python-docs-dash-snippets/3d-mesh" width="100%" height="1200" style="border:none;"></iframe>

 <div style="font-size: 0.9em;"><div style="width: calc(100% - 30px); box-shadow: none; border: thin solid rgb(229, 229, 229);"><div style="padding: 5px;"><div><p><strong>Sign up for Dash Club</strong> → Free cheat sheets plus updates from Chris Parmer and Adam Schroeder delivered to your inbox every two months. Includes tips and tricks, community apps, and deep dives into the Dash architecture.
 <u><a href="https://go.plotly.com/dash-club?utm_source=Dash+Club+2022&utm_medium=graphing_libraries&utm_content=inline">Join now</a></u>.</p></div></div></div></div>
diff --git a/doc/python/3d-scatter-plots.md b/doc/python/3d-scatter-plots.md
 Get started  with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with <a class="plotly-red" href="https://plotly.com/dash/">Dash Enterprise</a>.**


 ```python hide_code=true
 <pre hide_code="true">
 ```python
 from IPython.display import IFrame
 snippet_url = 'https://python-docs-dash-snippets.herokuapp.com/python-docs-dash-snippets/'
 IFrame(snippet_url + '3d-scatter-plots', width='100%', height=1200)
 ```
 </pre>

 <iframe src="https://python-docs-dash-snippets.herokuapp.com/python-docs-dash-snippets/3d-scatter-plots" width="100%" height="1200" style="border:none;"></iframe>

 <div style="font-size: 0.9em;"><div style="width: calc(100% - 30px); box-shadow: none; border: thin solid rgb(229, 229, 229);"><div style="padding: 5px;"><div><p><strong>Sign up for Dash Club</strong> → Free cheat sheets plus updates from Chris Parmer and Adam Schroeder delivered to your inbox every two months. Includes tips and tricks, community apps, and deep dives into the Dash architecture.
 <u><a href="https://go.plotly.com/dash-club?utm_source=Dash+Club+2022&utm_medium=graphing_libraries&utm_content=inline">Join now</a></u>.</p></div></div></div></div>

 #### Reference

 See [function reference for `px.scatter_3d()`](https://plotly.com/python-api-reference/generated/plotly.express.scatter_3d) or [https://plotly.com/python/reference/scatter3d/](reference/graph_objects/Scatter3d.md) for more information and chart attribute options!
 See [function reference for `px.scatter_3d()`](reference/plotly-express.md#plotly.express.scatter_3d) or [https://plotly.com/python/reference/scatter3d/](reference/graph_objects/Scatter3d.md) for more information and chart attribute options!
diff --git a/doc/python/3d-subplots.md b/doc/python/3d-subplots.md
 ---
 description: 3D Subplots in Plotly
 ---
 #### 3D Surface Subplots

 ### 3D Surface Subplots

 ```python
 import plotly.graph_objects as go
 fig.show()
 ```

 #### Reference
 ### Reference


 See [https://plotly.com/python/subplots/](subplots.md) for more information regarding subplots!
diff --git a/doc/python/3d-surface-plots.md b/doc/python/3d-surface-plots.md
 description: How to make 3D-surface plots in Python
 redirect_from: python/3d-surface-coloring/
 ---
 #### Topographical 3D Surface Plot

 ### Topographical 3D Surface Plot

 ```python
 import plotly.graph_objects as go
 fig.show()
 ```

 ### Passing x and y data to 3D Surface Plot
 ## Passing x and y data to 3D Surface Plot

 If you do not specify `x` and `y` coordinates, integer indices are used for the `x` and `y` axis. You can also pass `x` and `y` values to `go.Surface`.

 ```


 #### Surface Plot With Contours
 ### Surface Plot With Contours


 Display and customize contour data for each axis using the `contours` attribute ([reference](reference/graph_objects/Surface.md#plotly.graph_objects.Surface.contours)).

 fig.show()
 ```
 #### Configure Surface Contour Levels
 ### Configure Surface Contour Levels
 This example shows how to slice the surface graph on the desired position for each of x, y and z axis. [contours.x.start](reference/graph_objects/surface-package/contours-package/X.md#plotly.graph_objects.surface.contours.X.start) sets the starting contour level value, `end` sets the end of it, and `size` sets the step between each contour level.

 ```python
        })
 fig.show()
 ```
 #### Multiple 3D Surface Plots
 ### Multiple 3D Surface Plots

 ```python
 import plotly.graph_objects as go
 fig.show()
 ```

 ### Setting the Surface Color
 ## Setting the Surface Color

 You can use the `surfacecolor` attribute to define the color of the surface of your figure. In this example, the surface color represents the distance from the origin, rather than the default, which is the `z` value.

 fig.show()
 ```

 #### Reference
 ### Reference


 See [https://plotly.com/python/reference/surface/](reference/graph_objects/Surface.md) for more information!
diff --git a/doc/python/LaTeX.md b/doc/python/LaTeX.md
 ---
 description: How to add LaTeX to python graphs.
 ---
 #### LaTeX Typesetting

 ### LaTeX Typesetting

 Figure titles, axis labels and annotations all accept LaTeX directives for rendering mathematical formulas and notation, when the entire label is surrounded by dollar signs `$...$`. This rendering is handled by the [MathJax library](https://www.npmjs.com/package/mathjax?activeTab=versions), which must be loaded in the environment where figures are being rendered. MathJax is included by default in Jupyter-like environments. When embedding Plotly figures in other contexts it may be required to ensure that MathJax is separately loaded, for example via a `<script>` tag pointing to a content-delivery network (CDN). Versions 2 and 3 are supported.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -425,11 +425,18 @@ def convert_colors_to_same_type(
		be coverted to the selected colortype. If colors is None, then there is an
		option to return portion of the DEFAULT_PLOTLY_COLORS

		:param (str\|tuple\|list) colors: either a plotly scale name, an rgb or hex
		Parameters
		----------
		colors : str or tuple or list
		Either a plotly scale name, an rgb or hex
		color, a color tuple or a list/tuple of colors
		:param (list) scale: see docs for validate_scale_values()
		scale : list
		See docs for validate_scale_values()

		:rtype (tuple) (colors_list, scale) if scale is None in the function call,
		Returns
		-------
		A tuple of (colors_list, scale)
		If scale is None in the function call,
		then scale will remain None in the returned tuple
		"""
		colors_list = []
Expand DownExpand Up		@@ -495,7 +502,10 @@ def convert_dict_colors_to_same_type(colors_dict, colortype="rgb"):
		"""
		Converts a colors in a dictionary of colors to the specified color type

		:param (dict) colors_dict: a dictionary whose values are single colors
		Parameters
		----------
		colors_dict : dict
		A dictionary whose values are single colors
		"""
		for key in colors_dict:
		if "#" in colors_dict[key]:
Expand DownExpand Up		@@ -523,7 +533,10 @@ def validate_scale_values(scale):
		"""
		Validates scale values from a colorscale

		:param (list) scale: a strictly increasing list of floats that begins
		Parameters
		----------
		scale : list
		A strictly increasing list of floats that begins
		with 0 and ends with 1. Its usage derives from a colorscale which is
		a list of two-lists (a list with two elements) of the form
		[value, color] which are used to determine how interpolation weighting
Expand DownExpand Up		@@ -570,9 +583,12 @@ def make_colorscale(colors, scale=None):
		interpolated colorscale will be generated. If 'scale' is a specificed
		list, it must be the same legnth as colors and must contain all floats
		For documentation regarding to the form of the output, see
		https://plot.ly/python/reference/#mesh3d-colorscale
		[https://plotly.com/python/reference/#mesh3d-colorscale](/reference/graph_objects/Mesh3d.md#plotly.graph_objects.Mesh3d.colorscale)

		:param (list) colors: a list of single colors
		Parameters
		----------
		colors : list
		A list of single colors
		"""
		colorscale = []

Expand DownExpand Up		@@ -652,7 +668,10 @@ def convert_to_RGB_255(colors):
		to just x. This is the way rounding works in Python 3 and in current
		statistical analysis to avoid rounding bias

		:param (list) rgb_components: grabs the three R, G and B values to be
		Parameters
		----------
		rgb_components : list
		Grabs the three R, G and B values to be
		returned as computed in the function
		"""
		rgb_components = []
Expand DownExpand Up		@@ -752,9 +771,15 @@ def hex_to_rgb(value):
		"""
		Calculates rgb values from a hex color code.

		:param (string) value: Hex color string
		Parameters
		----------
		value : str
		Hex color string

		:rtype (tuple) (r_value, g_value, b_value): tuple of rgb values
		Returns
		-------
		A tuple of (r_value, g_value, b_value)
		Tuple of rgb values
		"""
		value = value.lstrip("#")
		hex_total_length = len(value)
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -9,6 +9,7 @@
		import io
		from pathlib import Path
		import plotly.graph_objects as go
		import re
		import sys
		import traceback

Expand DownExpand Up		@@ -66,14 +67,17 @@ def _do_file(args, input_file, block_number=None):
		print(f"Error writing output file: {e}", file=sys.stderr)
		sys.exit(1)

		def _contains_latex(code):
		"""Check if code likely contains LaTeX expressions."""
		return "cdn" if '$' in code and re.search(r'\$[^$]+\$', code) else False

		def _capture_plotly_show(fig, counter, result, output_dir, stem):
		def _capture_plotly_show(fig, counter, result, output_dir, stem, mathjax_option):
		"""Saves HTML figures."""
		# Save HTML and get the content for embedding
		html_filename = f"{stem}_{counter}.html"
		html_path = output_dir / html_filename
		fig.write_html(html_path, include_plotlyjs="cdn")
		html_content = fig.to_html(include_plotlyjs="cdn", div_id=f"plotly-div-{counter}", full_html=False)
		fig.write_html(html_path, include_plotlyjs="cdn", include_mathjax=mathjax_option)
		html_content = fig.to_html(include_plotlyjs="cdn",include_mathjax=mathjax_option,div_id=f"plotly-div-{counter}", full_html=False)
		result["html_files"].append(html_filename)
		result.setdefault("html_content", []).append(html_content)

Expand DownExpand Up		@@ -216,6 +220,8 @@ def _run_all_blocks(args, input_file, code_blocks, stem=None, block_number=None)

		def _run_code(code, output_dir, figure_counter, stem, exec_globals):
		"""Execute code capturing output and generated files."""
		mathjax_option = _contains_latex(code)

		# Capture stdout and stderr
		stdout_buffer = io.StringIO()
		stderr_buffer = io.StringIO()
Expand All		@@ -241,7 +247,7 @@ def patched_show(self, args, *kwargs):
		nonlocal figure_counter
		figure_counter += 1
		if stem is not None:
		_capture_plotly_show(self, figure_counter, result, output_dir, stem)
		_capture_plotly_show(self, figure_counter, result, output_dir, stem, mathjax_option)
		original_show = go.Figure.show
		go.Figure.show = patched_show
		exec(code, exec_globals)
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -86,4 +86,4 @@ fig.show()

		#### Reference

		See [function reference for `px.(line_3d)`](https://plotly.com/python-api-reference/generated/plotly.express.line_3d) or [https://plotly.com/python/reference/scatter3d/#scatter3d-marker-line](reference/graph_objects/scatter3d-package/Marker.md#plotly.graph_objects.scatter3d.Marker.line) for more information and chart attribute options!
		See [function reference for `px.(line_3d)`](reference/plotly-express.md#plotly.express.line_3d) or [https://plotly.com/python/reference/scatter3d/#scatter3d-marker-line](reference/graph_objects/scatter3d-package/Marker.md#plotly.graph_objects.scatter3d.Marker.line) for more information and chart attribute options!
Original file line number	Diff line number	Diff line change
Expand Up		@@ -43,11 +43,15 @@ fig.show()
		Get started with [the official Dash docs](https://dash.plotly.com/installation) and learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with <a class="plotly-red" href="https://plotly.com/dash/">Dash Enterprise</a>.


		```python hide_code=true
		<pre hide_code="true">
		```python
		from IPython.display import IFrame
		snippet_url = 'https://python-docs-dash-snippets.herokuapp.com/python-docs-dash-snippets/'
		IFrame(snippet_url + '3d-mesh', width='100%', height=1200)
		```
		</pre>

		<iframe src="https://python-docs-dash-snippets.herokuapp.com/python-docs-dash-snippets/3d-mesh" width="100%" height="1200" style="border:none;"></iframe>

		<div style="font-size: 0.9em;"><div style="width: calc(100% - 30px); box-shadow: none; border: thin solid rgb(229, 229, 229);"><div style="padding: 5px;"><div><p><strong>Sign up for Dash Club</strong> → Free cheat sheets plus updates from Chris Parmer and Adam Schroeder delivered to your inbox every two months. Includes tips and tricks, community apps, and deep dives into the Dash architecture.
		<u><a href="https://go.plotly.com/dash-club?utm_source=Dash+Club+2022&utm_medium=graphing_libraries&utm_content=inline">Join now</a></u>.</p></div></div></div></div>
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -48,11 +48,15 @@ fig.show()
		Get started with [the official Dash docs](https://dash.plotly.com/installation) and learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with <a class="plotly-red" href="https://plotly.com/dash/">Dash Enterprise</a>.


		```python hide_code=true
		<pre hide_code="true">
		```python
		from IPython.display import IFrame
		snippet_url = 'https://python-docs-dash-snippets.herokuapp.com/python-docs-dash-snippets/'
		IFrame(snippet_url + '3d-scatter-plots', width='100%', height=1200)
		```
		</pre>

		<iframe src="https://python-docs-dash-snippets.herokuapp.com/python-docs-dash-snippets/3d-scatter-plots" width="100%" height="1200" style="border:none;"></iframe>

		<div style="font-size: 0.9em;"><div style="width: calc(100% - 30px); box-shadow: none; border: thin solid rgb(229, 229, 229);"><div style="padding: 5px;"><div><p><strong>Sign up for Dash Club</strong> → Free cheat sheets plus updates from Chris Parmer and Adam Schroeder delivered to your inbox every two months. Includes tips and tricks, community apps, and deep dives into the Dash architecture.
		<u><a href="https://go.plotly.com/dash-club?utm_source=Dash+Club+2022&utm_medium=graphing_libraries&utm_content=inline">Join now</a></u>.</p></div></div></div></div>
Expand DownExpand Up		@@ -108,4 +112,4 @@ fig.show()

		#### Reference

		See [function reference for `px.scatter_3d()`](https://plotly.com/python-api-reference/generated/plotly.express.scatter_3d) or [https://plotly.com/python/reference/scatter3d/](reference/graph_objects/Scatter3d.md) for more information and chart attribute options!
		See [function reference for `px.scatter_3d()`](reference/plotly-express.md#plotly.express.scatter_3d) or [https://plotly.com/python/reference/scatter3d/](reference/graph_objects/Scatter3d.md) for more information and chart attribute options!
Original file line number	Diff line number	Diff line change
		@@ -1,7 +1,8 @@
		---
		description: 3D Subplots in Plotly
		---
		#### 3D Surface Subplots

		### 3D Surface Subplots

		```python
		import plotly.graph_objects as go
Expand DownExpand Up		@@ -47,7 +48,7 @@ fig.update_layout(
		fig.show()
		```

		#### Reference
		### Reference


		See [https://plotly.com/python/subplots/](subplots.md) for more information regarding subplots!
Original file line number	Diff line number	Diff line change
Expand Up		@@ -2,7 +2,8 @@
		description: How to make 3D-surface plots in Python
		redirect_from: python/3d-surface-coloring/
		---
		#### Topographical 3D Surface Plot

		### Topographical 3D Surface Plot

		```python
		import plotly.graph_objects as go
Expand All		@@ -21,7 +22,7 @@ fig.update_layout(title=dict(text='Mt Bruno Elevation'), autosize=False,
		fig.show()
		```

		### Passing x and y data to 3D Surface Plot
		## Passing x and y data to 3D Surface Plot

		If you do not specify `x` and `y` coordinates, integer indices are used for the `x` and `y` axis. You can also pass `x` and `y` values to `go.Surface`.

Expand All		@@ -42,7 +43,7 @@ fig.show()
		```


		#### Surface Plot With Contours
		### Surface Plot With Contours


		Display and customize contour data for each axis using the `contours` attribute ([reference](reference/graph_objects/Surface.md#plotly.graph_objects.Surface.contours)).
Expand All		@@ -66,7 +67,7 @@ fig.update_layout(title=dict(text='Mt Bruno Elevation'), autosize=False,

		fig.show()
		```
		#### Configure Surface Contour Levels
		### Configure Surface Contour Levels
		This example shows how to slice the surface graph on the desired position for each of x, y and z axis. [contours.x.start](reference/graph_objects/surface-package/contours-package/X.md#plotly.graph_objects.surface.contours.X.start) sets the starting contour level value, `end` sets the end of it, and `size` sets the step between each contour level.

		```python
Expand DownExpand Up		@@ -95,7 +96,7 @@ fig.update_layout(
		})
		fig.show()
		```
		#### Multiple 3D Surface Plots
		### Multiple 3D Surface Plots

		```python
		import plotly.graph_objects as go
Expand DownExpand Up		@@ -132,7 +133,7 @@ fig = go.Figure(data=[
		fig.show()
		```

		### Setting the Surface Color
		## Setting the Surface Color

		You can use the `surfacecolor` attribute to define the color of the surface of your figure. In this example, the surface color represents the distance from the origin, rather than the default, which is the `z` value.

Expand DownExpand Up		@@ -161,7 +162,7 @@ fig.update_layout(title_text="Ring cyclide")
		fig.show()
		```

		#### Reference
		### Reference


		See [https://plotly.com/python/reference/surface/](reference/graph_objects/Surface.md) for more information!
Original file line number	Diff line number	Diff line change
		@@ -1,7 +1,8 @@
		---
		description: How to add LaTeX to python graphs.
		---
		#### LaTeX Typesetting

		### LaTeX Typesetting

		Figure titles, axis labels and annotations all accept LaTeX directives for rendering mathematical formulas and notation, when the entire label is surrounded by dollar signs `$...$`. This rendering is handled by the [MathJax library](https://www.npmjs.com/package/mathjax?activeTab=versions), which must be loaded in the environment where figures are being rendered. MathJax is included by default in Jupyter-like environments. When embedding Plotly figures in other contexts it may be required to ensure that MathJax is separately loaded, for example via a `<script>` tag pointing to a content-delivery network (CDN). Versions 2 and 3 are supported.

Expand Down