I have a pandas dataframe with a ‘frequency_mhz’ variable and a ‘type’ variable. I want to create a dist plot using seaborne that overlays all of the frequencys but changes the colour based on the ‘type’.
small_df = df[df.small_airport.isin(['Y'])] medium_df = df[df.medium_airport.isin(['Y'])] large_df = df[df.large_airport.isin(['Y'])] plt.figure() sns.distplot(small_df['frequency_mhz'], color='red') plt.figure() sns.distplot(medium_df['frequency_mhz'], color='green') plt.figure() sns.distplot(large_df['frequency_mhz'])
Is there a way I can overlay the 3 into one plot? or a way ive missed to change the colour of the bars based on another variable as you can with ‘hue=’ in other plots?
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Answer
You can specify ax
as kwarg to superimpose your plots:
small_df = df[df.small_airport.isin(['Y'])] medium_df = df[df.medium_airport.isin(['Y'])] large_df = df[df.large_airport.isin(['Y'])] ax = sns.distplot(small_df['frequency_mhz'], color='red') sns.distplot(medium_df['frequency_mhz'], color='green', ax=ax) sns.distplot(large_df['frequency_mhz'], ax=ax) plt.show()