Created
October 29, 2023 03:26
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| import requests | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import matplotlib.ticker as mtick | |
| # ---------------------------------------------------------------------- | |
| page_size = 10000 | |
| url = 'https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v2/accounting/od/debt_to_penny' | |
| url_params = f'?page[size]={page_size}' | |
| response = requests.get(url + url_params) | |
| result_json = response.json() | |
| # ---------------------------------------------------------------------- | |
| df = pd.DataFrame(result_json['data']) | |
| df['record_date'] = pd.to_datetime(df['record_date']) | |
| # ---------------------------------------------------------------------- | |
| plt.ion() | |
| # ---------------------------------------------------------------------- | |
| df['debt_held_public_amt'] = pd.to_numeric(df['debt_held_public_amt'], errors='coerce') | |
| df['intragov_hold_amt'] = pd.to_numeric(df['intragov_hold_amt' ], errors='coerce') | |
| df['tot_pub_debt_out_amt'] = pd.to_numeric(df['tot_pub_debt_out_amt']) | |
| plt.ion() | |
| ax = df.plot(x='record_date', y=['debt_held_public_amt', 'intragov_hold_amt', 'tot_pub_debt_out_amt'], kind='line', rot=90) | |
| ax.yaxis.set_major_formatter(mtick.FuncFormatter(lambda x, pos: '$' + '{:1.0f}'.format(x/1000/1000/1000/1000) + 'T')) | |
| # ---------------------------------------------------------------------- |
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