Simple pandas cleaning code for PHP-USD exchange data published daily by the Bankers Association of the Philippines for easy access by journalists.
| column name | definition |
|---|---|
| May 24 | Updated data as of May 24, 2024 |
| Dec 22 | Updated data as of Dec. 22, 2022 |
Simply download the CSV files (found in raw_data directory and the notebook and store them in the same path in your computer. Run code in Jupyter notebook. The code should conclude with a combined CSV file of PHP-USD exchange rate from 2018 to 2022.
This was developed for easy access to foreign exchange data in one file, capable of aiding researchers and journalists.
The following information are found in the final CSV file generated by the code:
| column name | definition |
|---|---|
| date | trading date. This excludes weekends and holidays |
| open | opening rate of the peso against the US dollar. Market trading begins 9 am every weekday |
| high | strongest point of trade by the peso against the greenback |
| low | lowest rate reached by the peso against the US dollar at a particular day |
| close | closing foreign exchange rate, which is typically, the rate reported in local media |
| am_volume | value of dollars traded from 9 am to noon |
| pm_volume | value of dollars traded from noon to 4 p.m. each day |
| total_volume | total value of dollars traded within the day |
Prinz Magtulis, ppm2130@columbia.edu
Comments and suggestions are always welcome! All rights reserved.