Python Pandas Tutorial 6. Handle Missing Data: replace function
This pandas tutorial covers how dataframe.replace method can be used to replace specific values with some other values. It supports replacement using single value, a list, a regular expression and a dictionary. Often times you get data in one form and want to transform data into some other form as far as values are concerned. At this time replace method can be used to perform transformation.
Topics that are covered in this Python Pandas Video:
0:00 How to use replace method to deal with missing data?
0:21 How to handle special values in data?
1:41 Use replace() method to replace values in dataframe
5:58 Replace values using a dictionary
8:06 How "regex" (regular expression) works
10:05 Replace data with "regex" using a dictionary
10:55 Replace the list of values with another list of values
Code: https://github.com/codebasics/py/tree/master/pandas/6_handling_missing_data_replace
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Chapters (7)
How to use replace method to deal with missing data?
0:21
How to handle special values in data?
1:41
Use replace() method to replace values in dataframe
5:58
Replace values using a dictionary
8:06
How "regex" (regular expression) works
10:05
Replace data with "regex" using a dictionary
10:55
Replace the list of values with another list of values
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