Open indigoviolet opened 2 years ago
from altair_transform import transform_chart transform_chart( alt.Chart(cdf2.select(pr.col("cleaned_stat_len")).to_pandas().head(100)) .mark_bar() .encode( x=alt.X("binned_len:O"), y=alt.Y("count()", scale=alt.Scale(type="log")), tooltip="count()", ).transform_bin( 'binned_len', field='cleaned_stat_len', bin=alt.Bin(maxbins=50, extent=[0, 100]) ) ) Truncated Traceback (Use C-c C-$ to view full TB): File ~/dev/instant-science/trademark/.venv/lib/python3.9/site-packages/altair_transform/transform/bin.py:36, in visit_bin(transform, df) 33 field = transform_dct["field"] 34 extent = df[field].min(), df[field].max() ---> 36 bins = calculate_bins(extent, **({} if bin is True else bin)) 38 if isinstance(col, str): 39 df[col] = _cut(df[field], bins, return_upper=False) TypeError: calculate_bins() got multiple values for argument 'extent'