How to convert NaN to 'N/A' in pandas?
Question:
How should I convert NaN to N/A in Pandas?
Any thoughts and suggestions are appreciated!
Answers:
You should clarify why you want to convert NaN to ‘N/A’. NaN is a special internal representation of missing data. Sure ‘N/A’ represents missing data, but to python, this will just be another string, and will be decidedly different from a None/null/missing value.
Without clarification, I am assuming that you want to export NaN values as ‘N/A’ when you are writing a CSV, XL, etc…; in order to do that, you can use the na_rep argument
df.to_csv('path/to/my.csv', na_rep='N/A')
This will make NaN values in your exported file write out as ‘N/A’.
pandas also has a fillna function, but be aware, this will convert missing data into a string, e.g.,
df.fillna('N/A')
will now not have any missing data, and pd.isna() will not work, since a String ‘N/A’ is not a null entry
How should I convert NaN to N/A in Pandas?
Any thoughts and suggestions are appreciated!
You should clarify why you want to convert NaN to ‘N/A’. NaN is a special internal representation of missing data. Sure ‘N/A’ represents missing data, but to python, this will just be another string, and will be decidedly different from a None/null/missing value.
Without clarification, I am assuming that you want to export NaN values as ‘N/A’ when you are writing a CSV, XL, etc…; in order to do that, you can use the na_rep argument
df.to_csv('path/to/my.csv', na_rep='N/A')
This will make NaN values in your exported file write out as ‘N/A’.
pandas also has a fillna function, but be aware, this will convert missing data into a string, e.g.,
df.fillna('N/A')
will now not have any missing data, and pd.isna() will not work, since a String ‘N/A’ is not a null entry