How to Concatenate Strings from Multiple Columns in a Pandas DataFrame?

Concatenating Strings from Multiple Columns in a Pandas DataFrame

Concatenating strings from different columns in a Pandas DataFrame is a common task for data manipulation. In this scenario, the goal is to combine the 'bar' and 'foo' columns into a single column with a specific format.

To achieve this, you can utilize the map() function to convert the 'bar' column to strings and then use the string concatenation operator ( ) to combine the values with the 'foo' column. Here's the updated code:

# Convert 'bar' column to strings
df['bar'] = df.bar.map(str)

# Concatenate 'bar' and 'foo' columns
df['new_column'] = df.bar + " is " + df.foo

With this approach, you'll obtain a new column named 'new_column' that contains the desired concatenated strings:

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

This method is efficient and flexible, allowing you to concatenate strings from multiple columns and customize the output format based on your specific requirements.

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