PYTHON

pd if value delete row

df.drop(df.loc[df['line_race']==0].index, inplace=True)

drop rows with certain values pandas

#to drop rows based on certain condition in a column
import pandas as pd

df = df[df['column']!=1]

delete rows with value in column pandas

df = df[df.line_race != 0]

drop rows from dataframe based on column value

def filter_rows_by_values(df, col, values):
    return df[~df[col].isin(values)]

drop row pandas column value not a number

In [215]:

df[df['entrytype'].apply(lambda x: str(x).isdigit())]
Out[215]:
  entrytype
0         0
1         1
4         2

dataframe drop all rows with value

# create a new dataframe CONTAINING ONLY the rows, where the value
# of some_column = some_value
new_df = old_df.loc[old_df['some_column']=='some_value']
# create a new dataframe EXCLUDING the rows, where the value of
# some_column = some_value
new_df = old_df.loc[old_df['some_column']!='some_value']