python - exclude rowin data frame based on value
df = df[df.myvar != 0]
df = df[df.myvar < 2]
python - exclude rowin data frame based on value
df = df[df.myvar != 0]
df = df[df.myvar < 2]
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 2015-06-01
delete rows based on condition python
df = df.drop(df[df.score < 50].index)
delete rows based on condition python
df.drop(df[df.score < 50].index, inplace=True)
pandas drop row by condition
df = df.drop(df[df.score < 50].index)
conditional row delete pandas
df = df.drop(df[(df.score < 50) & (df.score > 20)].index)
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