From 930faca00e990cea13de63c1447eb66d8b01a1c0 Mon Sep 17 00:00:00 2001 From: Rajat Date: Tue, 18 Dec 2018 09:27:43 +0530 Subject: [PATCH] Handling nan values in pandas (#31328) --- guide/english/data-science-tools/pandas/index.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/guide/english/data-science-tools/pandas/index.md b/guide/english/data-science-tools/pandas/index.md index 53034b2ef7..ba47030db2 100644 --- a/guide/english/data-science-tools/pandas/index.md +++ b/guide/english/data-science-tools/pandas/index.md @@ -206,6 +206,17 @@ df['col1'].apply(len) 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: 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)