There is a bug when using Lux with <a href="https://datashader.org/getting_started/Pip

Another bug for Category dtype is for this example: <div class="highlight highligh

This is resolved with <a class="user-mention notranslate" data-hovercard-type="user" d

Unsupported Category dtype as_type about lux HOT 3 CLOSED

lux-org commented on May 19, 2024

Unsupported Category dtype as_type

from lux.

Comments (3)

westernguy2 commented on May 19, 2024

This is another bug where Lux isn't supporting CategoricalDtype. Specifically, both cut and qcut output a column of CategoricalDtype.

import pandas as pd
import numpy as np
import lux

url = 'https://github.com/lux-org/lux-datasets/blob/master/data/cars.csv?raw=true'
df = pd.read_csv(url)
df['Year'] = pd.to_datetime(df['Year'], format='%Y')

df["Weight"] = pd.qcut(df["Weight"], q = 3)

import pandas as pd
import numpy as np
import lux

url = 'https://github.com/lux-org/lux-datasets/blob/master/data/cars.csv?raw=true'
df = pd.read_csv(url)
df['Year'] = pd.to_datetime(df['Year'], format='%Y')

df["Weight"] = pd.cut(df["Weight"], bins = [0, 2500, 7500, 10000], labels = ["small", "medium", "large"])

Both code blocks have the same error:

from lux.

westernguy2 commented on May 19, 2024

Another bug for Category dtype is for this example:

import pandas as pd
import numpy as np
import lux

url = 'https://github.com/lux-org/lux-datasets/blob/master/data/cars.csv?raw=true'
df = pd.read_csv(url)
df['Year'] = pd.to_datetime(df['Year'], format='%Y')

new_df = df.drop([0, 1, 2], axis = "rows")
pd.merge(df, new_df, how = "left", indicator = True)