In addition to thefillna()function, Pandas offers several other functions and methods for dealing with missing data, such as: dropna(): Remove rows or columns with missing data. isna(): Determine which DataFrame or Series elements are missing or null. ...
within theCity_Tempdataframe, we can use thefillna()function from Pandas within aprintstatement. In thefillna()function, we will add a single value of 80.0, and when the result is printed to the console, we will see allNaNvalues from the dataframe have been replaced with the number 80.0....