![Daily Python Tip 🐍🐧 on Twitter: "Get number of Null values in a #pandas dataframe: df.isnull().sum() (column wise) df.isnull().sum(axis=1) (row wise) #python https://t.co/UZhQyUjYqM" / Twitter Daily Python Tip 🐍🐧 on Twitter: "Get number of Null values in a #pandas dataframe: df.isnull().sum() (column wise) df.isnull().sum(axis=1) (row wise) #python https://t.co/UZhQyUjYqM" / Twitter](https://pbs.twimg.com/media/DkFDNLCXcAAyhMZ.jpg)
Daily Python Tip 🐍🐧 on Twitter: "Get number of Null values in a #pandas dataframe: df.isnull().sum() (column wise) df.isnull().sum(axis=1) (row wise) #python https://t.co/UZhQyUjYqM" / Twitter
![row sum and column mean works but row mean gives all NaN, on heterogenous data types · Issue #33202 · pandas-dev/pandas · GitHub row sum and column mean works but row mean gives all NaN, on heterogenous data types · Issue #33202 · pandas-dev/pandas · GitHub](https://user-images.githubusercontent.com/10172392/78124015-a4838380-7441-11ea-84fe-9bd45de54f1b.png)
row sum and column mean works but row mean gives all NaN, on heterogenous data types · Issue #33202 · pandas-dev/pandas · GitHub
![Kevin Markham on Twitter: "🐼🤹♂️ pandas trick #95: Want to know the *count* of missing values in a DataFrame? ➡️ df.isna().sum().sum() Just want to know if there are *any* missing values? ➡️ Kevin Markham on Twitter: "🐼🤹♂️ pandas trick #95: Want to know the *count* of missing values in a DataFrame? ➡️ df.isna().sum().sum() Just want to know if there are *any* missing values? ➡️](https://pbs.twimg.com/media/ELmysxBXsAUQvUz.jpg:large)