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
# Merging 3 or more dataframes base on a common column
import pandas as pd
from functools import reduce
#Create a list of df to combine
list_of_df = [df_1,df_2,df_3]
#merge them together
df_combined = reduce(lambda left,right: pd.merge(left,right,on='common column'), list_of_df)#suppose you have two dataframes df1 and df2, and
#you need to merge them along the column id
df_merge_col = pd.merge(df1, df2, on='id')df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_col
df_cd = pd.merge(df_SN7577i_c, df_SN7577i_d, how='inner', left_on = 'Id', right_on = 'Id')