how to drop a row if there are 4 nan values in a row code example

Example 1: remove rows or columns with NaN value

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

Example 2: 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