Cleaning Up Currency Data with Pandas
This article explains how to convert currency strings into floats using pandas and regular expressions.
Get more great content for getting started with quant finance.
This article is about a Python script to clean up currency values. It explains how to convert currency values from a string to a number. The script uses the regular expression library and the replace() method. It also explains how to use the script to clean up a CSV file.
The script is used to convert currency values that are stored as strings into a numerical format. The regular expression library is used to identify the currency values and the replace() method is used to convert the values into a numerical format. The script is also used to clean up a CSV file.
The article explains how to use the Python script to clean up currency values. It uses the regular expression library and the replace() method to convert the values from a string to a numerical format. It also explains how to use the script to clean up a CSV file.
Overall, this article explains how to use a Python script to clean up currency values. It uses the regular expression library and the replace() method to convert the values from a string to a numerical format. It also explains how to use the script to clean up a CSV file.
Check out the full post at pbpython.com.