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86 lines
2.4 KiB
Python
86 lines
2.4 KiB
Python
#!/usr/bin/env python3
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"""custom_chart.py
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------------------
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Plot arbitrary FRED series stored in ``data/fred.db``.
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Example:
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python scripts/custom_chart.py --series UNRATE DCOILWTICO --start 2000-01-01 --end 2020-12-31
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"""
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from __future__ import annotations
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import argparse
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from datetime import datetime
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from pathlib import Path
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from typing import Iterable
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import matplotlib.dates as mdates
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import matplotlib.pyplot as plt
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import pandas as pd
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from scripts.common import fetch_series_db, save_figure
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def fetch_series_multi(
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series: Iterable[str],
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start: datetime,
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end: datetime,
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db_path: str | Path = Path("data/fred.db"),
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) -> pd.DataFrame:
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"""Load one or more FRED series from a local SQLite DB."""
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return fetch_series_db(series, start, end, db_path)
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def plot_series(df: pd.DataFrame) -> plt.Figure:
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"""Plot each column of ``df`` on a shared axis."""
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fig, ax = plt.subplots(figsize=(10, 5))
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for col in df.columns:
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ax.plot(df.index, df[col], label=col)
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ax.set_xlabel("Date")
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ax.set_ylabel("Value")
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ax.legend(frameon=False)
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ax.grid(axis="y", linestyle="--", alpha=0.4)
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ax.xaxis.set_major_locator(mdates.YearLocator(base=5))
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ax.xaxis.set_minor_locator(mdates.YearLocator())
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ax.xaxis.set_major_formatter(mdates.DateFormatter("%Y"))
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fig.autofmt_xdate()
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fig.tight_layout()
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return fig
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def main(argv: list[str] | None = None) -> plt.Figure:
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p = argparse.ArgumentParser(description="Plot FRED series from a local DB")
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p.add_argument("--series", nargs="+", required=True, help="FRED series names")
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p.add_argument(
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"--start", type=str, default="1970-01-01", help="start date YYYY-MM-DD"
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)
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p.add_argument(
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"--end",
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type=str,
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default=datetime.today().strftime("%Y-%m-%d"),
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help="end date YYYY-MM-DD",
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)
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p.add_argument("--db", type=str, default="data/fred.db", help="path to SQLite DB")
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p.add_argument(
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"--output",
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type=str,
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default=None,
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help="optional path to save the figure (PNG or PDF)",
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)
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args = p.parse_args(argv)
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start_dt = datetime.fromisoformat(args.start)
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end_dt = datetime.fromisoformat(args.end)
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data = fetch_series_multi(args.series, start_dt, end_dt, args.db)
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fig = plot_series(data)
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save_figure(fig, args.output, __file__)
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if argv is None:
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fig.show()
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return fig
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if __name__ == "__main__":
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main()
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