Plotly and polars

plotly_and_polars.py

# 100% stacked bar of null vs not-null values
_proportion = []
for _col, _valid, _nulls in zip(raw_df.columns, raw_df.count(), raw_df.null_count()):
    _total = _valid[0] + _nulls[0]
    _not_null = _valid[0]/_total
    _nulls = _nulls[0]/_total
    _proportion.append({"column": _col, "status": "not-null", "proportion": _not_null})
    _proportion.append({"column": _col, "status": "null", "proportion": _nulls})
    print(f"{_col} not-null {_not_null:.2f}% null {_nulls:.2f}%")

_fig = px.bar(
    pl.DataFrame(_proportion),
    x="column",
    y="proportion",
    color="status",
    barmode="stack",
    title="Null vs non-null values per column"
)
_fig.update_layout(yaxis_tickformat=".0%")
_fig