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It seems like the plot function jumbles up the colors when columns in a DataFrame have the same name:
plot
pd.concat([pd.DataFrame({'b': [0, 1, 0], 'a': [1, 2, 3]}), pd.DataFrame({'a': [2, 4, 6]})], axis=1).plot();
The text was updated successfully, but these errors were encountered:
This seems to work correctly on current master. But we could add a test to make sure it keeps working.
Sorry, something went wrong.
I have checked and the code at the master really works fine, check the printscreen i tooked:
Now Im going to make a test to check if everything is correct at the graphic before it plots.
TST/VIZ: add test for legend colors for DataFrame with duplicate colu…
940bbb5
…mn labels #11136 (#32451)
a810aca
…mn labels pandas-dev#11136 (pandas-dev#32451)
Successfully merging a pull request may close this issue.
It seems like the
plot
function jumbles up the colors when columns in a DataFrame have the same name:The text was updated successfully, but these errors were encountered: