python: remove specific values in a dataframe
df.drop(df.index[df['myvar'] == 'specific_name'], inplace = True)python: remove specific values in a dataframe
df.drop(df.index[df['myvar'] == 'specific_name'], inplace = True)remove all rows without a value pandas
# Keeps only rows without a missing value
df = df[df['name'].notna()]pandas drop rows with value in list
import pandas as pd
a = ['2015-01-01' , '2015-02-01']
df = pd.DataFrame(data={'date':['2015-01-01' , '2015-02-01', '2015-03-01' , '2015-04-01', '2015-05-01' , '2015-06-01']})
print(df)
# date
#0 2015-01-01
#1 2015-02-01
#2 2015-03-01
#3 2015-04-01
#4 2015-05-01
#5 2015-06-01
df = df[~df['date'].isin(a)]
print(df)
# date
#2 2015-03-01
#3 2015-04-01
#4 2015-05-01
#5 2015-06-01drop a row with a specific value of a column
df = df[df.line_race != 0]pandas drop row from a list of value
df = df[~df.datecolumn.isin(a)]Copyright © 2021 Codeinu
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