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
# df1 as main df and use the feild from df2 and map it into df1
df1.merge(df2,on='columnName',how='left')df = pd.concat( [df1,df2,df3], ignore_index=True )df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_col# Stack the DataFrames on top of each other
vertical_stack = pd.concat([survey_sub, survey_sub_last10], axis=0)
# Place the DataFrames side by side
horizontal_stack = pd.concat([survey_sub, survey_sub_last10], axis=1)
df_cd = pd.merge(df_SN7577i_c, df_SN7577i_d, how='inner', left_on = 'Id', right_on = 'Id')