How would I add a legend entry for each column of pandas dataframe in graph generated by df.boxplot()

trying to create some boxplots of pandas dataframes.

I have dataframes that typically look like this (not sure if there was a good way to show it so just took a screenshot).

I am creating a boxplot for each dataframe (after transposing) using the df.boxplot() method, it comes out almost exactly how I want it using the code below:


ax = crit_storm_df[tp_cols].T.boxplot()
    
ax.set_xlabel("Duration (m)")
ax.set_ylabel("Max Flow (cu.m/sec")
    
    
ax.set_xlim(0, None)
ax.set_ylim(0, None)
    
ax.set_title(crit_storm_df.name)
plt.show()

Example pic of output graph. What's lacking though is I want to add a legend with one entry for each box that represents a column in my dataframe in the pic above. Since I transposed the df before plotting, I would like to have a legend entry for each row, i.e. "tp01", "tp02" etc.

Anyone know what I should be doing instead? Is there a way to do this through the df.boxplot() method or do I need to do something in matplotlib?

I tried ax.legend() but it doesn't do anything except give me a warning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

Any help would be appreciated, thanks!

source https://stackoverflow.com/questions/75397219/how-would-i-add-a-legend-entry-for-each-column-of-pandas-dataframe-in-graph-gene

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