new dataframe based on certain row conditions
filterinfDataframe = dfObj[(dfObj['Sale'] > 30) & (dfObj['Sale'] < 33) ]new dataframe based on certain row conditions
filterinfDataframe = dfObj[(dfObj['Sale'] > 30) & (dfObj['Sale'] < 33) ]slice dataframe pandas based on condition
# To slice pandas dataframe by condition
frioMurteira = data.loc[(data["POM"] == "Murteira") & (data["TMP"] > 7.2), ["DTM","TMP"]]python pandas dataframe conditional subset
In [722]: df[(df['C']==1) | df['B']]
Out[722]:
A B C
0 1 True 1
2 2 False 1
3 2 True 2
4 3 True 1
In [723]: df.query('C==1 or B==True')
Out[723]:
A B C
0 1 True 1
2 2 False 1
3 2 True 2
4 3 True 1
In [724]: df[df.eval('C==1 or B==True')]
Out[724]:
A B C
0 1 True 1
2 2 False 1
3 2 True 2
4 3 True 1Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
