The OP is coloring by a categorical column, but this answer is for coloring by a column that is numeric, or can be interpreted as numeric, such as a datetime dtype.I'm having trouble getting anything but numerical values to work with the colormaps. np.ed(250)ĭf = pd.DataFrame()Īs far as I know, that color column can be any matplotlib compatible color (RBGA tuples, HTML names, hex values, etc). The script I am thinking of will assign colors based on this value. Two columns contain numerical data and the third is a categorical variable. Thank you for your responses but I want to include a sample dataframe to clarify what I am asking. #ideal situation with pandas dataframe, 'df', where colors are chosen by col3 Ggplot(data = df, aes(x=col1, y=col2, color=col3)) + geom_point() I'm wondering if there are there any convenience functions that people use to map colors to values using pandas dataframes and Matplotlib? #ggplot scatterplot example with R dataframe, `df`, colored by col3 I can quickly make a scatterplot and apply color associated with a specific column and I would love to be able to do this with python/pandas/matplotlib.
One of my favorite aspects of using the ggplot2 library in R is the ability to easily specify aesthetics.
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