Interactive matplotlib plots #4173
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area: widgets
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enhancement
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lang: python
theme: app builder
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seeM
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Aug 5, 2024
Addresses #3974 and #4173. This PR plumbs `buffers` from jupyter-adapter messages through to the main thread and specifically to our IPyWidgets notebook renderer. This unlocks a bunch of widget types (thanks to @isabelizimm for these examples): #### `ipywidgets.Image` ```python import ipywidgets with open('image.png', 'rb') as f: image = f.read() # you'll need an actual image path display(ipywidgets.Image(value=image, format='png')) ``` #### `ipympl` (matplotlib's interactive backend) Note: Save doesn't work yet. We'll need to handle the `clicked-data-url` webview message in our `NotebookOutputWebview`. ```python %matplotlib ipympl import matplotlib.pyplot as plt import numpy as np fig, ax = plt.subplots() x = np.linspace(0, 2*np.pi, 100) y = np.sin(3*x) ax.plot(x, y) ``` #### `ipydatagrid` ```python import pandas as pd from ipydatagrid import DataGrid data = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]}, index=["One", "Two", "Three"]) w = DataGrid(data, selection_mode="cell", editable=True) display(w) # Now change the value of a cell, then run: w.data # It should reflect the updated value. # The next line should update the value in the widget frontend: w.set_cell_value("A", "One", 3) ``` #### `bqplot` There appears to be a console warning here, we can address that in a follow-up. ```py import bqplot.pyplot as bplt import numpy as np x = np.linspace(-10, 10, 100) y = np.sin(x) axes_opts = {"x": {"label": "X"}, "y": {"label": "Y"}} fig = bplt.figure(title="Line Chart") line = bplt.plot( x=x, y=y, axes_options=axes_opts ) bplt.show() ```
Verified FixedTest scenario(s)Console run of: this works in the consolerun this first in the console:%matplotlib ipymplimport matplotlib.pyplot as plt fig, ax = plt.subplots() x = np.linspace(0, 2np.pi, 100) Link(s) to TestRail test cases run or created: |
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We should support matplotlib's interactive mode i.e.
ipympl.For example, this should produce an interactive plot:
Currently it produces a static low-res plot:
Sub-issue of #1924.
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