This is so powerful that it is highly customizable and regex could be fine-tuned as per our needs to extract the numbers alone. If we try to do so for the column - amount: df'amount'.astype(float) we will face error: ValueError: could not convert string to float: '10.00'. To convert string to float we can use the function. In this approach, we are using regex matching with the help of the `re` module available in python. Step 1: ValueError: could not convert string to float.
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