How to get daily US Treasury yields and macro data into pandas

Updated 2026-10-29 · Data and API builders · by CyberMax

Short answer

The Curvewire dataset mirrors public Treasury yield curve rates (nominal and real) and monthly BLS series. Load "treasury_yields", pick the 2-year and 10-year columns and subtract to get the 10y-2y spread; a negative value means the curve is inverted.

pip install datasets
Load "treasury_yields" (daily) or "treasury_real_yields".
Compute spread = 10-year − 2-year.
Load "bls_monthly" for inflation and jobs series to plot alongside.

Copy-paste code

Data: CyberMax dataset on Hugging Face; load it with the datasets library (pip install datasets)

from datasets import load_dataset

ds = load_dataset("CyberMax-tools/curvewire-us-macro-panel", "treasury_yields", split="train")
df = ds.to_pandas()
print(len(df), "rows")
print(df.head())

Good to know

Public data for information only; not financial advice.

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