How to replace a string within a string in pandas?
I am trying to use a dictionary key to replace strings in a pandas column with its values. However, each column contains sentences. Therefore, I must first tokenize the sentences and detect whether a Word in the sentence corresponds with a key in my dictionary, then replace the string with the corresponding value.
How to replace values in pandas series with dictionary?
The documentation explains the required format of the dict for DataFrames (i.e. nested dicts with top level keys corresponding to column names) but I can’t see anything specific for Series. Thanks for contributing an answer to Stack Overflow!
How to replace a string in a dictionary?
Categories Comment Type commentTest 0 animal The NYC tree is very big tree The New York City tree is very big 1 plant The cat from the UK is small dog The cat from the United Kingdom is small 2 object The rock was found in LA. rock The rock was found in Los Angeles. You can create dictionary and then replace:
Can you write a str.replace ( ) in Python?
All of these answers are good, but you are missing python string substitution – it’s simple and quick, but requires your string to be formatted correctly. Thanks for contributing an answer to Stack Overflow!
When to use a dict in pandas Dataframe?
For a DataFrame a dict of values can be used to specify which value to use for each column (columns not in the dict will not be filled). Regular expressions, strings and lists or dicts of such objects are also allowed. If True, performs operation inplace and returns None.
How to remap columns in pandas dataframe.replace?
DSM has the accepted answer, but the coding doesn’t seem to work for everyone. Here is one that works with the current version of pandas (0.23.4 as of 8/2018): The docs for pandas.DataFrame.replace are here. Adding to this question if you ever have more than one columns to remap in a data dataframe: