OpenBB-finance/OpenBB · error · RuntimeError

No data found to plot.

Error message

No data found to plot.

What it means

After converting the input to a DataFrame, the BLS charting view requires at least 2 rows to draw a line/bar chart; an empty frame or a single observation raises RuntimeError('No data found to plot.'). This is a data-sufficiency guard, not a conversion failure — the data parsed fine but is too sparse to visualize.

Source

Thrown at openbb_platform/extensions/economy/openbb_economy/economy_views.py:379

            )

        _data = (
            kwargs.pop("data", None)
            if "data" in kwargs and kwargs["data"] is not None
            else kwargs.get("obbject_item")
        )
        df = DataFrame()

        if isinstance(_data, DataFrame) and not _data.empty:
            df = _data.reset_index() if _data.index.name == "date" else _data
        else:
            try:
                df = basemodel_to_df(_data, index=None)  # type: ignore
            except Exception as e:
                raise RuntimeError("Unable to process supplied data.") from e

        if df.empty or len(df) < 2:
            raise RuntimeError("No data found to plot.")

        cols = df.columns.to_list()
        target_col = kwargs.get("target_col", "value")
        if target_col not in cols:
            raise RuntimeError(f"Column '{target_col}' not found in the data.")

        new_df = df.pivot(columns="symbol", values=target_col, index="date")
        target_symbols = kwargs.get("target_symbol", "").split(",")[:10]  # type: ignore

        if not target_symbols or len(target_symbols) == 0 or target_symbols[0] == "":
            target_symbols = new_df.columns.to_list()[:10]

        metadata = kwargs["extra"].get("results_metadata", {})  # type: ignore
        ytitle = kwargs.get("ytitle", "")

        new_df = new_df.filter(target_symbols, axis=1)

        if "percent" in target_col.lower():  # type: ignore

View on GitHub (pinned to 3e071fcc2c)

Solutions

1. Check the row count before charting: len(res.to_df()) >= 2.
2. Widen the date range (start_date earlier) or drop restrictive filters so at least 2 periods exist.
3. Verify the series id actually has data for the requested window (res.to_df().head()).

Example fix

# before
fig = obb.economy.bls.multiple_series(symbols=['LNS14000000'], start_date='2026-08-01', provider='bls').charting.bls()  # 0-1 rows

# after
fig = obb.economy.bls.multiple_series(symbols=['LNS14000000'], start_date='2024-01-01', provider='bls').charting.bls()

df = res.to_df() if hasattr(res, 'to_df') else data
assert df is not None and len(df) >= 2, 'need >= 2 rows to plot'

def plottable_row_count(df, minimum: int = 2) -> bool:
    """True when the frame has enough rows for a line/bar chart."""
    return df is not None and len(df) >= minimum

try:
    fig = views.bls_chart(**kwargs)
except RuntimeError as e:
    if str(e) == 'No data found to plot.':
        # widen the request window and retry once
        ...

When it happens

Trigger: Charting a BLS series request that returned 0 or 1 records; a date range/filter so narrow only one period survives; passing data= with a one-row DataFrame.

Common situations: Requesting very recent start dates for series published monthly/quarterly with a lag, provider outages returning single rows, or slicing a DataFrame to the latest observation before charting.

Related errors

• Error: No data to plot.
• This charting method does not support {provider}. Supported
• Unable to process supplied data.
• Column '{target_col}' not found in the data.
• Data is empty

AI-assisted analysis of OpenBB-finance/OpenBB@3e071fcc2c (2026-08-14). Data as JSON: /api/errors/e352b453f68138fd. Report an issue: GitHub.