Concatenating Strings in Pandas

In Pandas, you can concatenate strings using the + operator or the str.cat method.

These methods allow you to combine strings from multiple columns into a single string.

+ operator Method

Here's an example of using the + operator to concatenate strings:

import pandas as pd

df = pd.DataFrame({'first_name': ['John', 'Jane', 'Jim'],
                   'last_name': ['Doe', 'Smith', 'Johnson']})

df['full_name'] = df['first_name'] + " " + df['last_name']

print(df)

str.cat Method

The resulting dataframe will have a new column full_name that concatenates the values from the first_name and last_name columns.

You can also use the str.cat method to concatenate strings in Pandas.

The str.cat method allows you to specify the separator between the strings, and you can use the join parameter to specify the join direction (left, right, or both).

Here's an example of using the str.cat method to concatenate strings:

df['full_name'] = df['first_name'].str.cat(df['last_name'], sep=' ')

print(df)

Summary

In conclusion, concatenating strings in Pandas is a straightforward process that you can accomplish using the + operator or the str.cat method.

Both methods allow you to combine strings from multiple columns into a single string and provide you with flexible options for specifying the separator and join direction.