 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
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
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
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?
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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code :
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