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

Question

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.

Asked By: kumar

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Source

Answer 1

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'])

Answered By: jpp

Answer 2

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()

Answered By: Vaishali

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

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