pandas dataframe sum with condition
subset_df = df[df["A"] > 3]
column_sum = subset_df.sum()
pandas dataframe sum with condition
subset_df = df[df["A"] > 3]
column_sum = subset_df.sum()
sumif in python on a column and create new column
df['treat_rate']=df.treats/df.groupby('pet').treats.transform('sum')
df
Out[153]:
pet treats lbs treat_rate
0 cat 2 5.0 0.25
1 dog 1 9.9 0.50
2 snek 3 1.1 1.00
3 cat 6 4.5 0.75
4 dog 1 9.4 0.50
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