Assign specific value from a column to specific number of rows
Question:
Answers:
First make sure in both DataFrames is default index by DataFrame.reset_index
with drop=True
, then repeat agent_code
, convert to default index and last use concat
:
df1 = df1.reset_index(drop=True)
df2 = df2.reset_index(drop=True)
s = df1['agent_code'].repeat(df1['number']).reset_index(drop=True)
df3 = pd.concat([df2, s], axis=1)
First make sure in both DataFrames is default index by DataFrame.reset_index
with drop=True
, then repeat agent_code
, convert to default index and last use concat
:
df1 = df1.reset_index(drop=True)
df2 = df2.reset_index(drop=True)
s = df1['agent_code'].repeat(df1['number']).reset_index(drop=True)
df3 = pd.concat([df2, s], axis=1)