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matplotlib's imshow is pretty unawesome for DataFrames. For example, to label the axes one must do all sorts of tricks with the formatting API. Pandas provides great indexing/labeling capabilities. I propose a function similar to imshow that uses the information in a DataFrame to correctly label the axes. The API could be passing kind='image' to DataFrame.plot.
The text was updated successfully, but these errors were encountered:
Hm. Maybe this wasn't as big of a deal as I thought. Gets a bit ugly for MultiIndex and float indices, but that can be dealt with easily using matplotlib formatting classes.
I think this is a useful feature request, if only to streamline the creation of nice heatmaps. It's currently not that much trouble to do manually, but it would be great if I could do this with a one-line call to DataFrame.plot().
matplotlib's
imshow
is pretty unawesome for DataFrames. For example, to label the axes one must do all sorts of tricks with the formatting API. Pandas provides great indexing/labeling capabilities. I propose a function similar toimshow
that uses the information in a DataFrame to correctly label the axes. The API could be passingkind='image'
toDataFrame.plot
.The text was updated successfully, but these errors were encountered: