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How to Convert Multiple Types in a Pandas DataFrame [All Method]️

The step-by-step guide on this page will show you How to Convert Multiple Types in a Pandas DataFrame. If you get stuck or have questions at any point,simply comment below.
Question: What is the best way to approach this problem? Answer: Check out this blog code to learn how to fix errors How to Convert Multiple Types in a Pandas DataFrame. Question:”What should you do if you run into code errors?” Answer:”By following this blog, you can find a solution.”

How can we convert the types of multiple columns at once in a DataFrame?

We can use astype() to achieve this.

Cast a single column with astype()

Suppose we have a column col that is of type float. We want to convert that to an int type.

We can do this like so.

df['col'] = df['col'].astype(int)

We can confirm that the casting was successful by checking the DataFrame dtypes.

print(df.dtypes)

Cast multiple columns with astype()

If we want to cast multiple columns, we can pass in a dictionary of column names along with the desired dtype.

df = df.astype({'col1': float, 'col2': str})

Once again, let’s confirm that everything converted as expected.

print(df.dtypes)

Read the Pandas documentation to learn about what other dtypes are available for casting.


Now you learned, How you can use & How to Convert Multiple Types in a Pandas DataFrame.
If you need help at any point, please send me a message and I will do my best to assist you.

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