Ignoring non-numerical string values in pandas dataframe

Question

I have a DataFrame in which a column might have three kinds of values, integers (12331), integers as strings (\'345\') or some other string (\'text\').

Is there a way to

Answer 1

You could use pd.to_numeric with errors=coerce to substitute your non numeric values with NaN and apply it the each column. Then you could use dropna or fillna whatever you prefer.

df = pd.read_csv('file.csv')
df = df.apply(pd.to_numeric, errors='coerce')
df = df.dropna()