I'm new to python pandas. Need some help with deleting a few rows where there are null values. In the screenshot, I need to delete rows where charge_per_line == "-" using python pandas.
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2 Answers
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'])
Comments
Multiple ways
Use str.contains to find rows containing '-'
df[~df['Charge_Per_Line'].str.contains('-')]Replace '-' by nan and use dropna()
df.replace('-', np.nan, inplace = True) df = df.dropna()
