Scal dwieFrame na podstawie kolumny
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outer
Sachin
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outer
df_3 = pd.concat([df_1, df_2])
df["period"] = df["Year"].astype(str) + df["quarter"]
df['FullName'] = df[['First_Name', 'Last_Name']].agg('-'.join, axis=1)df = pd.merge(df,df2[['Key_Column','Target_Column']],on='Key_Column', how='left')df["period"] = df["Year"] + df["quarter"]