I have dataframe and I want update a value of a column of a dataframe for specific set of data. How can this be done.I have around 20000 records to be updated.
Sample Input
Id Registered
345 Y
678 N
987 N
435 N
2345 Y
123 N
679 N
I want to update the Registered column to Y when I give Set of Id numbers . How this can be done I want to change the Registered column of 678,124,435 to Y . How this can this can done when for a large list.
You can use a mask generated with isin
to index df
's Registered
column and set values accordingly.
df.loc[df['Id'].isin(ids), 'Registered'] = 'Y'
df
Id Registered
0 345 Y
1 678 Y
2 987 N
3 435 Y
4 2345 Y
5 123 N
6 679 N
Or you can using where
/ mask
ids=[678,124,435]
df.Registered=df.Registered.where(df.Id.isin(ids),'Y')
Or,
df.Registered=df.Registered.where(df.Id.isin(ids),'Y')
df
Id Registered
0 345 Y
1 678 N
2 987 Y
3 435 N
4 2345 Y
5 123 Y
6 679 Y
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