My dataframe1:
id filler ent seg val text
1 M,0-10 CP BEC 20 abc
2 M,10-20 D BWC 30 abc
3 Y,0-10 CP CCD 40 abc
4 Y,10-20 D CFC 50 abc
dataframe2:
id filler ent seg val text
1 M,0-10 CP BEC 20 xyz
2 Y,10-20 D CFC 50 xyz
need to create a result dataframe:
id filler ent seg val text
1 M,0-10 CP BEC 20 xyz
2 M,10-20 D BWC 30 abc
3 Y,0-10 CP CCD 40 abc
4 Y,10-20 D CFC 50 xyz
where its kind of checks whether all the columns apart from text have same value then updates dataframe1 by dataframe 2 my dataframe1 has 100 rows and dataframe2 has 20 rows.
You can perform a left merge of dataframe2 onto dataframe1, and use the indicator column to find values that need updated in dataframe1.
columns = ['id','filler','ent','seg','val','text']
df1 = pd.DataFrame([
[1, 'M,0-10','CP','BEC',20, 'abc'],
[2,'M,10-20','D','BWC',30,'abc'],
[3,'Y,0-10','CP','CCD',40,'abc'],
[4,'Y,10-20','D','CFC',50,'abc'],
], columns=columns)
df2 = pd.DataFrame([
[1,'M,0-10','CP','BEC',20,'xyz'],
[4,'Y,10-20','D','CFC',50,'xyz'],
], columns=columns)
Merge dataframe2 on dataframe1, with indicator column
columns_merge = [x for x in columns if x!='text']
updated = df1.merge(df2, on=columns_merge, how='left', indicator=True)
Compare and set contents that need updated based on indicator column.
same = updated['_merge']=='both'
updated.loc[same,'text_x'] = updated.loc[same,'text_y']
Drop & rename columns
updated.drop(columns=['text_y','_merge'], inplace=True)
updated.rename(columns = {'text_x': 'text'}, inplace=True)
updated =
id filler ent seg val text
0 1 M,0-10 CP BEC 20 xyz
1 2 M,10-20 D BWC 30 abc
2 3 Y,0-10 CP CCD 40 abc
3 4 Y,10-20 D CFC 50 xyz
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