Context
I have a dataset with a column with boolean data. I want to show that on a map, colored by whether the boolean field is true or false, using apply_categorical_cmap. A stripped down example:
import numpy as np
from lonboard.colormap import apply_categorical_cmap
values = np.array([True, False])
get_color = apply_categorical_cmap(values, {False: [255, 0, 0], True: [0, 255, 0]})Resulting error
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/snipped/.venv/lib/python3.12/site-packages/lonboard/colormap.py", line 207, in apply_categorical_cmap
values = ChunkedArray(dictionary_encode(values))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Exception: C Data interface error: C Data interface error: Compute error: Boolean not supported in rank
Environment
- OS: Arch Linux
- Lonboard Version: 0.14.0
It is not a big problem to cast the data to integer 0/1 first, but just thought I'd report it as it would be nice if it works out of the box :).
Context
I have a dataset with a column with boolean data. I want to show that on a map, colored by whether the boolean field is true or false, using
apply_categorical_cmap. A stripped down example:Resulting error
Environment
It is not a big problem to cast the data to integer 0/1 first, but just thought I'd report it as it would be nice if it works out of the box :).