How to convert transform column in pandas using regex?

@arnoldo.moen 

To transform a column in pandas using regex, you can make use of the str.replace() function in pandas. Here's an example of how you can convert a column in pandas using regex:

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import pandas as pd

# Create a sample dataframe
data = {'text': ['apple123', 'banana456', 'cherry789']}
df = pd.DataFrame(data)

# Use regex to extract numbers from the text column
df['number'] = df['text'].str.replace(r'D+', '', regex=True)

# Print the updated dataframe
print(df)

In this example, we used the regex pattern D+ to extract numbers from the 'text' column and created a new column 'number' to store the extracted numbers. You can modify the regex pattern according to your specific requirements.