Python

# remove all rows without a value in the 'name' column
df = df[df['name'].notna()]

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

In [215]:

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

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