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Hi All,
I am trying to draw a table plot with python visual, which I could do but I found an issue - my table is not scrollable (vertcially) so, only some ~15 values(rows) are being shown in the visual when it actually contains more than 60+ values(rows). Below is a snippet of code:
df1 = pd.DataFrame({'A':inp_data["a1"], 'B':inp_data["b1"], 'C':inp_data["c1"]}, columns=list('ABC'))
ax.table(cellText=np.array(df1), colLabels=df1.columns, loc='center')
Any ideas if someone has faced similar issues.
Thanks,
Max
Thanks for replying!
I can not use Power Query for my solution as the visual is dynamically calculating values. So, I require the solution to be at visual end.
Please read the linked post. You cannot do vertical scrolling in a Python visual. Use a different approach.
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