Delete rows if there are null values in a specific column in Pandas dataframe [duplicate]

Answer 1

Multiple ways

1. Use str.contains to find rows containing '-'

   df[~df['Charge_Per_Line'].str.contains('-')]
   

2. Replace '-' by nan and use dropna()

   df.replace('-', np.nan, inplace = True)
   df = df.dropna()