Support for Pandas charts?

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Hello @GSTREAM welcome to the community!

If I recall, Pandas chart use Matplotlib under the hood (actually you can change the backend on demand but let’s not go there yet)

so you can build the Matplotlib figure, inject it in through the ax attribute of the Pandas charting method, then display it in Streamlit:

fig, ax = plt.subplots()
df.hist(
    bins=8,
    column="Age",
    grid=False,
    figsize=(8, 8),
    color="#86bf91",
    zorder=2,
    rwidth=0.9,
    ax=ax,
)
st.pyplot(fig)

The same trick can be used for Seaborn charts :slight_smile:

fig, ax = plt.subplots()
sns.distplot(df["Age"], ax=ax)
st.pyplot(fig)

and I suppose a lot of Matplotlib wrapper can be displayed this way.

Have a nice day,
Fanilo

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