Matplotlib Dataframe Plot Size Issue

[Anonymous]

Hi,

I'm currently using matplotlib to plot some dataframes with Python Visual. The problem is that the dataframe is hard to read when you have more than 4 columns and I'm unable to make the font size bigger or expand the visualization more. Is there any way that I can make this table bigger? It seems there is a lot of whitespace in the horizontal and vertical axis.

Here is my code:

fig, ax = plt.subplots()

ax.set_axis_off()

table = ax.table(

    cellText = df.values,

    rowLabels = df.index,

    rowLoc = 'left',

    colLabels = df.columns,

    cellLoc ='center',  

    loc ='upper left')        

fig.tight_layout()

plt.show()

[v-jianboli-msft · Accepted solution]

Hi @Anonymous ,

Try to use figsize=(x,y) or set_figheight(), set_figwidth() to change the size of your Plot.

Besides, Python visuals in Power BI Desktop have the some limitations

Especially all Python visuals display at 72 DPI resolution. Maybe you need to change the DPI of your plot.

For more details, please refer to:

How to Change Plot and Figure Size in Matplotlib • datagy. 

Create Power BI visuals using Python in Power BI Desktop - Power BI | Microsoft Learn

Best Regards,

Jianbo Li

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