python - Computing percentage difference between pandas dataframe rows - 


region  year      val 1.0     2015.0    6.775457e+05 1.0     2016.0    6.819761e+05 1.0     2017.0    6.864065e+05 2.0     2015.0    6.175457e+05 2.0     2016.0    6.419761e+05 3.0     2017.0    6.564065e+05

in dataframe above, want compute percentage difference between consecutive rows same region values. tried not sure if works. best way achieve it?

df.groupby(['region', 'year'])['val'].pct_change()

you can use dataframegroupby.pct_change groupby column region:

df['new'] = df.groupby('region')['val'].pct_change() print (df)    region    year       val       new 0     1.0  2015.0  677545.7       nan 1     1.0  2016.0  681976.1  0.006539 2     1.0  2017.0  686406.5  0.006496 3     2.0  2015.0  617545.7       nan 4     2.0  2016.0  641976.1  0.039560 5     3.0  2017.0  656406.5       nan

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