How to replace text in a string column of a Pandas dataframe
7 Answers Sorted by 474 Use the vectorised str method replace df range df range str replace df range 0 2 30 1 50 290 EDIT so if we look at what you tried and why it didn t work df range replace inplace True from the docs we see this description
Python modify strings in pandas dataframe column Stack Overflow, 1 Answer Sorted by 4 Assuming you want to leave your non strings untouched you can use df A df A apply lambda x x lower strip if isinstance x str else x Share Follow answered Feb 21 2019 at 14 07
How to modify strings in a pandas dataframe regex
No it looks for exact matches it depends on how varied your data is you could just say slice the strings df col df col str 3 which will strip the last 3 characters off I think I may be off by one or do this df col df col str 15 if you want the first 16 characters EdChum Mar 13 2015 at 16 36
Python modify string values in dataframe column Stack Overflow, 1 I m trying to modify the string values in a dataframe column So far I have tried this def years x x x split 0 x x 2 return x df Date apply years When I run this and then take a look at the dataframe the actual df Date column is unmodified
How to conditionally modify string values in dataframe column Python
How to conditionally modify string values in dataframe column Python , A list of entity names to leave alone must exactly match character for character myString al Group1 al Group2 Apply title case to every entity NOT in myString df entity df entity apply lambda x x if x in myString else x title Print the modified DataFrame df
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Pandas Handle strings replace strip case conversion etc
Pandas Handle strings replace strip case conversion etc Source pandas str replace strip etc py You can use various methods with the string accessor str xxx to handle replace strip etc strings of pandas Series a column or row of pandas DataFrame Series String handling pandas 1 4 0 documentation For example the following methods are available
String In Python Coding Conception
For the above example we can pass fill value to treat NaN values as an empty string so that when we add the prefix string we get a column of strings df col df col radd str fill value which outputs col 0 stra 1 str As a side note there s a difference between using astype str and astype string one important Python Add a string prefix to each value in a pandas string column . You can replace the string of the pandas DataFrame column with another string by using DataFrame replace method This method updates the specified value with another specified value and returns a new DataFrame In order to update on existing DataFrame use inplace True Parameters bufstr Path or StringIO like optional default None Buffer to write to If None the output is returned as a string columnsarray like optional default None The subset of columns to write Writes all columns by default col spaceint list or dict of int optional The minimum width of each column
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