Answers for "how to drop a row if there are 4 nan values in a row"

remove rows or columns with NaN value

df.dropna()     #drop all rows that have any NaN values
df.dropna(how='all')

Posted by: Guest on August-23-2020

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

Posted by: Guest on September-03-2020

Code answers related to "how to drop a row if there are 4 nan values in a row"