How to barplot output of pandas.describe() from multiple datasets
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02-11-2019 - |
Question
I'm trying to compare the differences and similarities between 10 dataframes. I have decided to df.describe() each dataframe in turn and accumulate the results into a new dataframe.
count mean std min 25% 50% 75% max
run
0 38 11.9394 3.99795 2.66622 9.00963 13.6531 14.6516 18.2803
1 75 13.7902 2.69114 8.06895 13.5017 14.3492 15.4146 17.4614
2 17 13.9666 1.12535 11.1525 13.7025 14.1217 14.6637 15.6118
3 21 13.2841 2.81016 6.25177 13.198 14.0382 15.1457 16.2141
4 29 11.5376 3.35056 6.70377 8.43451 12.8287 14.7004 16.155
5 11 12.5245 3.0237 6.01391 11.0818 13.6772 14.6237 15.527
6 32 13.7039 2.36393 6.95464 13.6765 14.1967 14.8114 17.3966
7 11 13.9055 2.03886 10.5235 12.6321 13.9394 14.5784 18.0726
8 19 13.2579 1.80329 9.00478 13.0772 13.8909 14.1755 15.0772
9 28 13.2817 3.61778 5.64462 9.90116 14.6581 15.6785 18.7766
I thought from this point it would be trivial to do a barplot where each bar was a different variable (the columns) and they where hue'd according to which dataframe the variable was from(the rows).
However I can't work out how to split up the columns.
sns.barplot(data = describedWidth)
outputs the following graph
Thanks in advance
No correct solution
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