How to remove rows with null values from a column?
Question:
I have small dataframe with null values in columns.
Movie
Duration
Avatar
178
Spectre
John Carter
132
Tangled
Titanic
195
I can remove rows with null values for one column at a time with this command –
df.drop(df[df['duration'].isnull()].index)
But, suppose I had a large dataframe with hundreds of columns with null row values, then removing null row values for one column at a time is not possible.
What should be my approach in such a case?
Answers:
As @Omniswitcher commented, df.drop() will work.
pd.read_excel('Movie.xlsx').dropna(axis=0)
Output:
I have small dataframe with null values in columns.
| Movie | Duration |
|---|---|
| Avatar | 178 |
| Spectre | |
| John Carter | 132 |
| Tangled | |
| Titanic | 195 |
I can remove rows with null values for one column at a time with this command –
df.drop(df[df['duration'].isnull()].index)
But, suppose I had a large dataframe with hundreds of columns with null row values, then removing null row values for one column at a time is not possible.
What should be my approach in such a case?
As @Omniswitcher commented, df.drop() will work.
pd.read_excel('Movie.xlsx').dropna(axis=0)
Output: