OpenBB-finance/OpenBB · error · ValueError

Error: {e}

Error message

Error: {e}

What it means

In the bar chart builder (generic_charts.py), the incoming values are packed into a pandas Series indexed by keys; if that construction fails - length mismatch between keys and values, unhashable/NaN keys, or non-iterable input - the exception is wrapped as ValueError('Error: {e}') with the original message preserved.

Source

Thrown at openbb_platform/obbject_extensions/charting/openbb_charting/charts/generic_charts.py:572

    except Exception as _:
        figure = OpenBBFigure(create_backend=True)

    figure = figure.create_subplots(
        1,
        1,
        shared_xaxes=False,
        vertical_spacing=0.06,
        horizontal_spacing=0.01,
        row_width=[1],
        specs=[[{"secondary_y": True}]],
    )

    try:
        data = Series(data=values, index=keys)
        increasing_data = data[data > 0]  # type: ignore
        decreasing_data = data[data < 0]  # type: ignore
    except Exception as e:
        raise ValueError(f"Error: {e}") from e

    if not increasing_data.empty:  # type: ignore
        figure.add_bar(
            x=increasing_data.index if orientation == "v" else increasing_data,  # type: ignore
            y=increasing_data if orientation == "v" else increasing_data.index,  # type: ignore
            marker=dict(color=colors[0]),
            orientation=orientation,
            showlegend=False,
            width=0.95 / len(keys) * 0.75 if barmode == "group" else 0.95,
            hoverinfo="y" if orientation == "v" else "x",
        )
    if not decreasing_data.empty:  # type: ignore
        figure.add_bar(
            x=decreasing_data.index if orientation == "v" else decreasing_data,  # type: ignore
            y=decreasing_data if orientation == "v" else decreasing_data.index,  # type: ignore
            marker=dict(color=colors[1]),
            orientation=orientation,
            showlegend=False,

View on GitHub (pinned to 3e071fcc2c)

Solutions

1. Verify lengths match: assert len(keys) == len(values)
2. Sanitize keys (drop NaN, convert to str) and values (coerce to float) before calling
3. Read the embedded message after 'Error:' - it is pandas' own Series construction error telling you the exact mismatch

Example fix

# before
fig = create_bar_chart(values=[1, 2, 3], keys=['a', 'b'])

# after
assert len(keys) == len(values)
fig = create_bar_chart(values=values, keys=keys)

assert len(keys) == len(values), f'keys/values length mismatch: {len(keys)} vs {len(values)}'
keys = [str(k) for k in keys]
values = [float(v) for v in values]

def is_paired_series(keys, values) -> bool:
    try:
        return len(keys) == len(values) and all(isinstance(k, (str, int, float)) for k in keys)
    except TypeError:
        return False

try:
    fig = create_bar_chart(values=values, keys=keys)
except ValueError as e:
    if str(e).startswith('Error:'):
        logging.error('bar chart data invalid: %s', str(e))

When it happens

Trigger: Calling the bar chart function with len(keys) != len(values); keys containing NaN or unhashable types; values as a scalar instead of a sequence; dicts/iterables of inconsistent length.

Common situations: Building category charts from aggregated provider data where a filter dropped some rows but keys were computed beforehand; passing zip results of unequal lists; None values sneaking into keys.

Related errors

• Error: No data to plot.
• Expiration field not found in the data.
• Price field not found in the data.
• Error: Rate column not found in the data.
• Error: Date column not found in the data.

AI-assisted analysis of OpenBB-finance/OpenBB@3e071fcc2c (2026-08-14). Data as JSON: /api/errors/703168e88c43a083. Report an issue: GitHub.