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The previous output shows the classes of each column in our data set. As you can see, the first column x1 has the boolean data type. Example 2: Convert String Data Type to Boolean in Column of pandas DataFrame. In Example 2, I’ll demonstrate how to modify the class of a string column containing boolean expressions. . Lastly, we can convert every column in a DataFrame to. First thing we have to do is remove those dollar signs and commas. # replace dollar sign and commas df ['Expenditure'] = df ['Expenditure'].str.replace ('$', '').str.replace (',', '') Here, we are doing method chaining to replace dollar signs and commas in one go. Now, to convert this string column to float we can use the astype method in pandas.