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I find the documentation for def heatmap(data, scale, vmin=None, vmax=None, cmap=None, ax=None, scientific=False, style='triangular', colorbar=True, permutation=None, use_rgba=False, cbarlabel=None, cb_kwargs=None): quite confusing.
If I have a dictionary (or Pandas dataframe) with four columns, where the first three are i,j,k such that i+j+k = scale and the fourth is my colormap, it seems there should be an obvious way to input heatmap(i,j,k, data) like how Plottly does for contour plots. However, I don't see how to format my dictionary to match the requirements of
data: dictionary
A dictionary mapping the i, j polygon to the heatmap color, where
i + j + k = scale.
The text was updated successfully, but these errors were encountered:
(1) There are several explicit examples in the documentation / examples notebook on how to input data to the heatmap functions
(2) This is the wrong place to ask for help about transforming data from pandas dataframes to other formats, try stack overflow or just searching
(3) There's already another issue requesting essentially this (#109)
I find the documentation for
def heatmap(data, scale, vmin=None, vmax=None, cmap=None, ax=None, scientific=False, style='triangular', colorbar=True, permutation=None, use_rgba=False, cbarlabel=None, cb_kwargs=None):
quite confusing.If I have a dictionary (or Pandas dataframe) with four columns, where the first three are i,j,k such that
i+j+k = scale
and the fourth is my colormap, it seems there should be an obvious way to inputheatmap(i,j,k, data)
like how Plottly does for contour plots. However, I don't see how to format my dictionary to match the requirements ofThe text was updated successfully, but these errors were encountered: