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Add column to dataframe and merge


Add column to dataframe and merge

By : user3099901
Date : January 11 2021, 05:14 PM
it helps some times I found the answer, I needed to concat cd number and cd name to create a new column to match that of the Community Board column in dfb then do the join
code :


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How to merge the two columns from two dataframe into one column of a new dataframe (pandas)?

How to merge the two columns from two dataframe into one column of a new dataframe (pandas)?


By : Nangamso
Date : March 29 2020, 07:55 AM
To fix the issue you can do You can merge the two dataframes and then concat the hapX and hapY. Say your first column name is no.
code :
df_joined = df1.merge(df2, on = 'no')
df_joined['hapX|Y'] = (df_joined['hapX'].astype(str))+'|'+(df_joined['hapY'].astype(str))
df_joined.drop(['hapX', 'hapY'], axis = 1)
    no  hapX|Y
0   pos 0.0|0.1
1   721 0.2|0.0
2   735 0.5|0.6
3   739 1.0|1.5
merge dataframe column with another dataframe on single column with different shape of dataframe

merge dataframe column with another dataframe on single column with different shape of dataframe


By : Micħai Dicħter
Date : March 29 2020, 07:55 AM
This might help you I beleive need map if account_id in df2 values are unique:
code :
df1['label'] = df1['account_id'].map(df2.set_index('account_id')['label'])
s = df2.drop_duplicates(subset=['account_id']).set_index('account_id')['label']
df1['label'] = df1['account_id'].map(s)
Merge dataframe cols and a row to specific index base on another dataframe column value

Merge dataframe cols and a row to specific index base on another dataframe column value


By : Akash Badiyani
Date : March 29 2020, 07:55 AM
This might help you You can use DataFrame.merge with left join and rename columns:
code :
d = {'UniqueNum':'TestId'}
df = dataframe2.merge(dataframe1.rename(columns=d), how='left', on='TestId')
df = dataframe2.merge(dataframe1.set_index('UniqueNum'), 
                      how='left', 
                      left_on='TestId', 
                      right_index=True)
df = dataframe2.merge(dataframe1, 
                      how='left', 
                      left_on='TestId', 
                      right_on='UniqueNum').drop('UniqueNum', axis=1)
print (df)

  TestId   C    D   B  A
0     1a  22   13   3  2
1     2b  46   88  88  6
2     3c  47  233  23  7
3     1a  22   22   3  2
4     3c  46   46  23  7
5     2b  47   47  88  6
Merge two dataframe and add new column based on merge

Merge two dataframe and add new column based on merge


By : Rafia Hafeez
Date : March 29 2020, 07:55 AM
I hope this helps you . Use merge with indicator=True, you can then compare the indicator output to get your column.
code :
res = df_api.merge(df_db, how='left', indicator='indicator')
res['_deleted'] = res.pop('indicator') != "both"

   _deleted   id  user_id
0     False  123      555
1      True  789      555
how can I merge single column dataframe to multicolumn dataframe?

how can I merge single column dataframe to multicolumn dataframe?


By : Hemanth Kumar
Date : March 29 2020, 07:55 AM
hop of those help? There's a multi columns dataframe like below , IIUC, you need to make a multiindex with blank first level:
code :
df2.columns=pd.MultiIndex.from_product((df2.columns,['']))
pd.concat((df1,df2),axis=1)
    x      y    alpa beta
    a   b  a  b          
1  21  54  4  7    9    5
2  18  23  2  4    1    3
3  10  54  8  9   10    7
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