Home >Backend Development >Python Tutorial >How to Concatenate Two Pandas Columns with 'is' as a Separator?

How to Concatenate Two Pandas Columns with 'is' as a Separator?

Linda Hamilton
Linda HamiltonOriginal
2024-11-09 10:09:02512browse

How to Concatenate Two Pandas Columns with

String Concatenation of Two Pandas Columns

In this scenario, we have a DataFrame with two columns, 'bar' and 'foo'. The goal is to combine these columns to create a new column where each row contains the string representation of elements from both columns, separated by "is".

The provided solution attempts to assign the concatenated string to the 'foo' column, but it encounters an issue due to the way missing values are handled in the assignment. To prevent this, we can cast the 'bar' column to string and use the map method.

The following code offers a clear and effective solution:

df['bar'] = df.bar.map(str) + " is " + df.foo

Using map(str) on the 'bar' column ensures that each value is converted to a string. The string concatenation is then performed using the ' ' operator. The resulting column contains the desired output:

    bar
0    1 is a
1    2 is b
2    3 is c

The above is the detailed content of How to Concatenate Two Pandas Columns with 'is' as a Separator?. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn