merge two dataframes based on column
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outer
merge two dataframes based on column
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outer
merge two dataframes based on column
df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_col
concat 3 column in pandas
In[17]:df['combined']=df['bar'].astype(str)+'_'+df['foo']+'_'+df['new']
In[17]:df
Out[18]:
bar foo new combined
0 1 a apple 1_a_apple
1 2 b banana 2_b_banana
2 3 c pear 3_c_pear
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