mo.mpl.interactive doesn't work

[proItheus]

Describe the bug

It's just blank.

Version

0.1.36

Code to reproduce

import marimo

__generated_with = "0.1.36"
app = marimo.App()


@app.cell
def __():
    import marimo as mo
    import numpy as np
    from matplotlib import pyplot as plt
    return mo, np, plt


@app.cell
def __(np):
    x=np.linspace(0,1,20)
    return x,


@app.cell
def __(plt, x):
    plt.plot(x,x)
    return


@app.cell
def __(mo, plt):
    mo.mpl.interactive(plt.gcf())
    return


if __name__ == "__main__":
    app.run()

[akshayka]

Hey, thanks for opening.

Each cell gets its own figure for the imperative API. So in your last cell, plt.gcf() returns an empty figure. We can add this to the documentation.

• You could combine the plotting cell and the cell that uses mpl.interactive.
• Or you could use the object oriented API and grab the axis object.

Let me know if they look ok to you.

Two options below.

import marimo

__generated_with = "0.1.36"
app = marimo.App()


@app.cell
def __():
    import marimo as mo
    import numpy as np
    from matplotlib import pyplot as plt
    return mo, np, plt


@app.cell
def __(np):
    x=np.linspace(0,1,20)
    return x,


@app.cell
def __(mo, plt, x):
    plt.plot(x,x)
    mo.mpl.interactive(plt.gcf())
    return


if __name__ == "__main__":
    app.run()

This should also work:

import marimo

__generated_with = "0.1.36"
app = marimo.App()


@app.cell
def __():
    import marimo as mo
    import numpy as np
    from matplotlib import pyplot as plt
    return mo, np, plt


@app.cell
def __(np):
    x=np.linspace(0,1,20)
    return x,


@app.cell
def __(plt, x):
    plt.plot(x, x)
    ax = plt.gca()
    return ax,


@app.cell
def __(ax, mo):
    mo.mpl.interactive(ax)
    return


if __name__ == "__main__":
    app.run()

[proItheus]

Well, not exactly. It is no longer blank, but still have some weird behavior.
plot.webm

[akshayka]

Oh weird. @mscolnick could this have to do with iframe resizing?

[mscolnick]

@proItheus, i am unable to reproduce it. on my computer the interactive plot takes up the full size it is given.

couple questions that could help us:

• what browser are you using
• what version of matplotlib

thanks

[proItheus]

Well, I realized I have enabled privacy.resistFingerprinting in firefox. When this switch is turned off, it works fine.