Display Plotly plot inside VS code

Question

I'm trying to use plotly inside of vscode without a jupyter notebook.

When i use

import plotly.express as px

fig=px.line(x=[1,2,3,4],y=[1,4,9,16])
fig.show(renderer='vscode')

i only see some output in the terminal:

{'application/vnd.plotly.v1+json': {'config': {'plotlyServerURL': 'https://plot.ly'}, 'data': [{'hovertemplate': 'x=%{x}<br>y=%{y}<extra></extra>', 'legendgroup': '', 'line': {'color': '#636efa', 'dash': 'solid'}, 'mode': 'lines', 'name': '', 'orientation': 'v', 'showlegend': False, 'type': 'scatter', 'x': [1, 2, 3, 4], 'xaxis': 'x', 'y': [1, 4, 9, 16], 'yaxis': 'y'}], 'layout': {'legend': {'tracegroupgap': 0}, 'margin': {'t': 60}, 'template': {'data': {'bar': [{'error_x': {'color': '#2a3f5f'}, 'error_y': {'color': '#2a3f5f'}, 'marker': {'line': {'color': '#E5ECF6', 'width': 0.5}}, 'type': 'bar'}], 'barpolar': [{'marker': {'line': {'color': '#E5ECF6', 'width': 0.5}}, 'type': 'barpolar'}], 'carpet': [{'aaxis': {'endlinecolor': '#2a3f5f', 'gridcolor': 'white', 'linecolor': 'white', 'minorgridcolor': 'white', 'startlinecolor': '#2a3f5f'}, 'baxis': {'endlinecolor': '#2a3f5f', 'gridcolor': 'white', 'linecolor': 'white', 'minorgridcolor': 'white', 'startlinecolor': '#2a3f5f'}, 'type': 'carpet'}], 'choropleth': [{'colorbar': {'outlinewidth': 0, 'ticks': ''}, 'type': 'choropleth'}], 'contour': [{'colorbar': {'outlinewidth': 0, 'ticks': ''}, 'colorscale': [[0.0, '#0d0887'], [0.1111111111111111, '#46039f'], [0.2222222222222222, '#7201a8'], [0.3333333333333333, '#9c179e'], [0.4444444444444444, '#bd3786'], [0.5555555555555556, '#d8576b'], [0.6666666666666666, '#ed7953'], [0.7777777777777778, '#fb9f3a'], [0.8888888888888888, '#fdca26'], [1.0, '#f0f921']], 'type': 'contour'}], 'contourcarpet': [{'colorbar': {'outlinewidth': 0, 'ticks': ''}, 'type': 'contourcarpet'}], 'heatmap': [{'colorbar': {'outlinewidth': 0, 'ticks': ''}, 'colorscale': [[0.0, '#0d0887'], [0.1111111111111111, '#46039f'], [0.2222222222222222, '#7201a8'], [0.3333333333333333, '#9c179e'], [0.4444444444444444, '#bd3786'], [0.5555555555555556, '#d8576b'], [0.6666666666666666, '#ed7953'], [0.7777777777777778, '#fb9f3a'], [0.8888888888888888, '#fdca26'], [1.0, '#f0f921']], 'type': 'heatmap'}], 'heatmapgl': [{'colorbar': {'outlinewidth': 0, 'ticks': ''}, 'colorscale': [[0.0, '#0d0887'], [0.1111111111111111, '#46039f'], [0.2222222222222222, '#7201a8'], [0.3333333333333333, '#9c179e'], [0.4444444444444444, '#bd3786'], [0.5555555555555556, '#d8576b'], [0.6666666666666666, '#ed7953'], [0.7777777777777778, '#fb9f3a'], [0.8888888888888888, '#fdca26'], [1.0, '#f0f921']], 'type': 'heatmapgl'}], 'histogram': [{'marker': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'type': 'histogram'}], 'histogram2d': [{'colorbar': {'outlinewidth': 0, 'ticks': ''}, 'colorscale': [[0.0, '#0d0887'], [0.1111111111111111, '#46039f'], [0.2222222222222222, '#7201a8'], [0.3333333333333333, '#9c179e'], [0.4444444444444444, '#bd3786'], [0.5555555555555556, '#d8576b'], [0.6666666666666666, '#ed7953'], [0.7777777777777778, '#fb9f3a'], [0.8888888888888888, '#fdca26'], [1.0, '#f0f921']], 'type': 'histogram2d'}], 'histogram2dcontour': [{'colorbar': {'outlinewidth': 0, 'ticks': ''}, 'colorscale': [[0.0, '#0d0887'], [0.1111111111111111, '#46039f'], [0.2222222222222222, '#7201a8'], [0.3333333333333333, '#9c179e'], [0.4444444444444444, '#bd3786'], [0.5555555555555556, '#d8576b'], [0.6666666666666666, '#ed7953'], [0.7777777777777778, '#fb9f3a'], [0.8888888888888888, '#fdca26'], [1.0, '#f0f921']], 'type': 'histogram2dcontour'}], 'mesh3d': [{'colorbar': {'outlinewidth': 0, 'ticks': ''}, 'type': 'mesh3d'}], 'parcoords': [{'line': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'type': 'parcoords'}], 'pie': [{'automargin': True, 'type': 'pie'}], 'scatter': [{'marker': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'type': 'scatter'}], 'scatter3d': [{'line': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'marker': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'type': 'scatter3d'}], 'scattercarpet': [{'marker': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'type': 'scattercarpet'}], 'scattergeo': [{'marker': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'type': 'scattergeo'}], 'scattergl': [{'marker': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'type': 'scattergl'}], 'scattermapbox': [{'marker': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'type': 'scattermapbox'}], 'scatterpolar': [{'marker': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'type': 'scatterpolar'}], 'scatterpolargl': [{'marker': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'type': 'scatterpolargl'}], 'scatterternary': [{'marker': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'type': 'scatterternary'}], 'surface': [{'colorbar': {'outlinewidth': 0, 'ticks': ''}, 'colorscale': [[0.0, '#0d0887'], [0.1111111111111111, '#46039f'], [0.2222222222222222, '#7201a8'], [0.3333333333333333, '#9c179e'], [0.4444444444444444, '#bd3786'], [0.5555555555555556, '#d8576b'], [0.6666666666666666, '#ed7953'], [0.7777777777777778, '#fb9f3a'], [0.8888888888888888, '#fdca26'], [1.0, '#f0f921']], 'type': 'surface'}], 'table': [{'cells': {'fill': {'color': '#EBF0F8'}, 'line': {'color': 'white'}}, 'header': {'fill': {'color': '#C8D4E3'}, 'line': {'color': 'white'}}, 'type': 'table'}]}, 'layout': {'annotationdefaults': {'arrowcolor': '#2a3f5f', 'arrowhead': 0, 'arrowwidth': 1}, 'coloraxis': {'colorbar': {'outlinewidth': 0, 'ticks': ''}}, 'colorscale': {'diverging': [[0, '#8e0152'], [0.1, '#c51b7d'], [0.2, '#de77ae'], [0.3, '#f1b6da'], [0.4, '#fde0ef'], [0.5, '#f7f7f7'], [0.6, '#e6f5d0'], [0.7, '#b8e186'], [0.8, '#7fbc41'], [0.9, '#4d9221'], [1, '#276419']], 'sequential': [[0.0, '#0d0887'], [0.1111111111111111, '#46039f'], [0.2222222222222222, '#7201a8'], [0.3333333333333333, '#9c179e'], [0.4444444444444444, '#bd3786'], [0.5555555555555556, '#d8576b'], [0.6666666666666666, '#ed7953'], [0.7777777777777778, '#fb9f3a'], [0.8888888888888888, '#fdca26'], [1.0, '#f0f921']], 'sequentialminus': [[0.0, '#0d0887'], [0.1111111111111111, '#46039f'], [0.2222222222222222, '#7201a8'], [0.3333333333333333, '#9c179e'], [0.4444444444444444, '#bd3786'], [0.5555555555555556, '#d8576b'], [0.6666666666666666, '#ed7953'], [0.7777777777777778, '#fb9f3a'], [0.8888888888888888, '#fdca26'], [1.0, '#f0f921']]}, 'colorway': ['#636efa', '#EF553B', '#00cc96', '#ab63fa', '#FFA15A', '#19d3f3', '#FF6692', '#B6E880', '#FF97FF', '#FECB52'], 'font': {'color': '#2a3f5f'}, 'geo': {'bgcolor': 'white', 'lakecolor': 'white', 'landcolor': '#E5ECF6', 'showlakes': True, 'showland': True, 'subunitcolor': 'white'}, 'hoverlabel': {'align': 'left'}, 'hovermode': 'closest', 'mapbox': {'style': 'light'}, 'paper_bgcolor': 'white', 'plot_bgcolor': '#E5ECF6', 'polar': {'angularaxis': {'gridcolor': 'white', 'linecolor': 'white', 'ticks': ''}, 'bgcolor': '#E5ECF6', 'radialaxis': {'gridcolor': 'white', 'linecolor': 'white', 'ticks': ''}}, 'scene': {'xaxis': {'backgroundcolor': '#E5ECF6', 'gridcolor': 'white', 'gridwidth': 2, 'linecolor': 'white', 'showbackground': True, 'ticks': '', 'zerolinecolor': 'white'}, 'yaxis': {'backgroundcolor': '#E5ECF6', 'gridcolor': 'white', 'gridwidth': 2, 'linecolor': 'white', 'showbackground': True, 'ticks': '', 'zerolinecolor': 'white'}, 'zaxis': {'backgroundcolor': '#E5ECF6', 'gridcolor': 'white', 'gridwidth': 2, 'linecolor': 'white', 'showbackground': True, 'ticks': '', 'zerolinecolor': 'white'}}, 'shapedefaults': {'line': {'color': '#2a3f5f'}}, 'ternary': {'aaxis': {'gridcolor': 'white', 'linecolor': 'white', 'ticks': ''}, 'baxis': {'gridcolor': 'white', 'linecolor': 'white', 'ticks': ''}, 'bgcolor': '#E5ECF6', 'caxis': {'gridcolor': 'white', 'linecolor': 'white', 'ticks': ''}}, 'title': {'x': 0.05}, 'xaxis': {'automargin': True, 'gridcolor': 'white', 'linecolor': 'white', 'ticks': '', 'title': {'standoff': 15}, 'zerolinecolor': 'white', 'zerolinewidth': 2}, 'yaxis': {'automargin': True, 'gridcolor': 'white', 'linecolor': 'white', 'ticks': '', 'title': {'standoff': 15}, 'zerolinecolor': 'white', 'zerolinewidth': 2}}}, 'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'x'}}, 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'y'}}}}}

When i omit the renderer argument, like

import plotly.express as px

fig=px.line(x=[1,2,3,4],y=[1,4,9,16])
fig.show()

the plot opens in my default browser, which is not what i want.

Is it either possible to show the figure directly in vscode or can it be opened in a browser tab inside of vscode so i don't have to switch windows?

I cannot reproduce this issue in the latest Insiders' version of VS Code, when using the Jupyter extension. Could you please retry, and see if the bug has been resolved? Thank you! — dynamicwebpaige
– dynamicwebpaige, Commented Nov 6, 2021 at 14:03

JanosLaszlo · Accepted Answer · 2021-08-09 20:44:46Z

20

If you want to use the built-in notebook of VS Code, another setting may be necessary to view maps:

import plotly.io as pio
pio.renderers

gives this:

Renderers configuration

Default renderer: 'vscode'
Available renderers:
    ['plotly_mimetype', 'jupyterlab', 'nteract', 'vscode',
     'notebook', 'notebook_connected', 'kaggle', 'azure', 'colab',
     'cocalc', 'databricks', 'json', 'png', 'jpeg', 'jpg', 'svg',
     'pdf', 'browser', 'firefox', 'chrome', 'chromium', 'iframe',
     'iframe_connected', 'sphinx_gallery', 'sphinx_gallery_png']

I needed to set:

pio.renderers.default = "notebook_connected"

to be able to render background maps (e.g. with px.scatter_geo() ).

All the other (non-map) visualizations worked even without this setting, though.

answered Aug 9, 2021 at 20:44

JanosLaszlo

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Comments

CatsLoveJazz · Accepted Answer · 2021-02-13 16:57:28Z

12

One option is to set the default renderer, this works in the cell style mode for Python in VSCode:

import plotly.io as pio
pio.renderers.default = "vscode"

Plotly documentation

answered Feb 13, 2021 at 16:57

CatsLoveJazz

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1 Comment

yts61 Over a year ago

this doens't work in my case. 'pio.renderers.default = "notebook"' works.

Wasi · Accepted Answer · 2023-01-25 04:00:20Z

9

install "Jupyter Notebook Renderers" from vscode extensions

answered Jan 25, 2023 at 4:00

Wasi

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3 Comments

Community Over a year ago

Your answer could be improved with additional supporting information. Please edit to add further details, such as citations or documentation, so that others can confirm that your answer is correct. You can find more information on how to write good answers in the help center.

Thomas J Over a year ago

This is the only one that worked for me in 2023

Zachary HUANG Over a year ago

This solves my problem. need more upvotes!

Jill Cheng · Accepted Answer · 2020-11-17 00:58:50Z

8

For plotting using "plotly".

"Plotly" is based on a web application that analyzes a python plotting library. Its drawing effect is displayed on the html page by default, so it is viewed in the browser by default.

In addition to "Jupyter notebook" can be used to display the drawing in VSCode, we can also view the drawing in the "Interactive Window" window:

[Right-click on the code and select "Run Current File in Interactive Window".]
Use "matplotlib" to plot.

"Matplotlib" is a python plotting library. When we use it to plot, the results will be displayed in the python plot window:
For the built-in browser of VSCode, we usually use it to open the file in the browser through the html file, and the html can be directly rendered and displayed in the browser.

edited Nov 17, 2020 at 0:58

answered Nov 16, 2020 at 8:17

Jill Cheng

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3 Comments

Marvin Noll Over a year ago

Please show how to show it in the interactive window

Jill Cheng Over a year ago

You can right-click on the code and select "Run Current File in Interactive window".

Jill Cheng Over a year ago

@Marvin Noll -How are things going? Please let us know if there is any progress.

unlimitedfox · Accepted Answer · 2022-05-28 07:56:41Z

7

Just my two cents to this topic. This minimal working example runs fine in VS code (2022 May)

import plotly.io as pio
import plotly.express as px

pio.renderers.default = "notebook"
fig = px.bar(x=["a", "b", "c"], y=[1, 3, 2])
fig.show()

answered May 28, 2022 at 7:56

unlimitedfox

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Nisham · Accepted Answer · 2022-02-02 09:08:44Z

6

With the current VS code (2022 Feb) and having your python code run at the interactive window the following render seems to work smoother.

pio.renderers.default = "notebook"

answered Feb 2, 2022 at 9:08

Nisham

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just another mathmo · Accepted Answer · 2023-04-15 09:42:45Z

1

None of the above worked for me, perhaps because I am on a MacBook.
I finally resolved the issue by installing the "Jupyter Notebook Renderers" extension from Microsoft https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter-renderers

answered Apr 15, 2023 at 9:42

just another mathmo

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Sam · Accepted Answer · 2022-06-10 09:34:14Z

0

Ran into the same issue with bokeh. Apparently, jupyter makes this difficult. Panel helped me:

import panel as pn

pn.extension()

answered Jun 10, 2022 at 9:34

Sam

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1 Comment

Sam Over a year ago

Here is a better way for bokeh (parallel to plotly): python from bokeh.io import output_notebook, show from bokeh.resources import INLINE output_notebook(INLINE)

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