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Ketan Sinha 2 дыло регистрируем споро войно. D3doverrider windows 7 64 bit free download.Q:

read_csv check that values exist and select them if they do not, in pandas

I have read_csv in python:
df = pd.read_csv(‘file.csv’, delimiter=’,’, skipinitialspace=True)

This will store the data in a DataFrame. I have tried the following to select data with some values which do not exist in my csv file:
df.loc[(df[‘colA’] ==’somevalue’) & (df[‘colB’] ==’somevalue’)]
df.loc[(df[‘colA’] ==’somevalue’) | (df[‘colB’] ==’somevalue’)]
df.loc[df[‘colA’] ==’somevalue’] | df[‘colB’] ==’somevalue’]

Neither of these work.
I have tried variations of filtering on multiple values but cannot seem to get it to work.
How can I select the dataframe rows containing values in colA and colB that do not exist in the csv file?

A:

try this
df = pd.read_csv(‘file.csv’,
delimiter=’,’,
skipinitialspace=True)

df.dropna(inplace=True)
df[‘colA’] = df[‘colA’].replace(‘ ‘,’_’)
df[‘colB’] = df[‘colB’].replace(‘ ‘,’_’)

df.loc[(df[‘colA’] ==’somevalue’) & (df[‘colB’] ==’somevalue’)]

Out[859]:

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https://ello.co/7lihaexprop-e/post/4rlb_dw1bxxslesxuichbq
https://colab.research.google.com/drive/1_SpYBwN_Wl7uae7bm8WXDjZVao__Q7yP
https://documenter.getpostman.com/view/21833004/UzdwWT2m
https://colab.research.google.com/drive/1wQl7TkiIjytBzmuxDiHTuMqgyAlyzBVK
https://ello.co/abbamonsga/post/ktic5hqhnnp7r7lihtbjfw

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