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Handling nan values in pandas (#31328)

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Rajat
2018-12-18 09:27:43 +05:30
committed by Christopher McCormack
parent c23b33cb34
commit 930faca00e
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guide/english/data-science-tools/pandas/index.md
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@ -206,6 +206,17 @@ df['col1'].apply(len)
del df['col1'] del df['col1']
``` ```
## Checking for missing values
```df.isnull()```
It wil return a Boolean value telling you whether it’s a missing value.
## Getting rid of missing data points
```pd.dropna()```
This will drop all rows that have any missing values.
#### More Information: #### More Information:
1. [pandas](http://pandas.pydata.org/) 1. [pandas](http://pandas.pydata.org/)
2. [read_csv](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html?highlight=read_csv#pandas.read_csv) 2. [read_csv](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html?highlight=read_csv#pandas.read_csv)