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Clamp series to last UNRATE date

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thePR0M3TH3AN committed 2025-06-01 11:08:11 -04:00
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README.md
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@@ -138,10 +138,11 @@ What happens under the hood:
```
(\[Real Python]\[1], \[Software Engineering Stack Exchange]\[2])
3. Converts both series to month‐end indices, resamples oil to a monthly average, and aligns their date ranges.
4. Validates that neither series is empty, contains `NaN`, or has no overlap (raising a `ValueError` if any issue).
5. Applies the specified lag (e.g., 18 months), then plots UNRATE on the left y‐axis and log‐scaled WTI on the right y‐axis.
6. Saves the figure to `outputs/lagged_oil_unrate_chart_styled_<timestamp>.png` (unless `--output` is specified). (\[martinheinz.dev]\[4], \[Real Python]\[1])
3. Converts both series to month-end indices, resamples oil to a monthly average, and aligns their date ranges.
4. Clamps both series to the last month where `UNRATE` has a value so any trailing NaN is removed.
5. Validates that neither series is empty, contains `NaN`, or has no overlap (raising a `ValueError` if any issue).
6. Applies the specified lag (e.g., 18 months), then plots UNRATE on the left y-axis and log-scaled WTI on the right y-axis.
7. Saves the figure to `outputs/lagged_oil_unrate_chart_styled_<timestamp>.png` (unless `--output` is specified). (\[martinheinz.dev]\[4], \[Real Python]\[1])
#### Customizing the UNRATE vs. Oil Chart
@@ -320,9 +321,9 @@ python-dateutil>=2.8.1
* This indicates that the UNRATE DataFrame has missing (NaN) entries. Possible fixes:
1. Drop nulls within SQL—e.g., run `refresh_data.py --end` using the last fully published month rather than “today” (\[devgem.io]\[7], \[pyOpenSci]\[8])
2. Forward‐fill or backward‐fill missing UNRATE values in `common.py` before validation (if appropriate) (\[pyOpenSci]\[8], \[Real Python]\[1])
3. Comment out the strict null check in `validate_dataframe(...)` (not recommended for publication‐quality charts) (\[devgem.io]\[7], \[Real Python]\[1])
1. Drop nulls within SQL—e.g., run `refresh_data.py --end` using the last fully published month rather than "today" ([devgem.io][7], [pyOpenSci][8])
2. Clamp both series to `UNRATE.last_valid_index()` before validation (the approach used in `lagged_oil_unrate_chart_styled.py`).
3. Comment out the strict null check in `validate_dataframe(...)` (not recommended for publication-quality charts) ([devgem.io][7], [Real Python][1])
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