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

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()
   

If the relevant entries in Charge_Per_Line are empty (NaN) when you read into pandas, you can use df.dropna:

df = df.dropna(axis=0, subset=['Charge_Per_Line'])

If the values are genuinely -, then you can replace them with np.nan and then use df.dropna:

import numpy as np

df['Charge_Per_Line'] = df['Charge_Per_Line'].replace('-', np.nan)
df = df.dropna(axis=0, subset=['Charge_Per_Line'])