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Automatic detection of DateTime series does not work on polars.DataFrame.
polars.DataFrame
Example:
import datetime as dt import numpy as np from lets_plot import * LetsPlot.setup_html() n = 31 np.random.seed(42) df = pl.DataFrame({ 'd': [dt.datetime(2021, 1, 1) + dt.timedelta(days=d) for d in range(n)], 't': np.random.normal(loc=-5, scale=6, size=n) }) ggplot(df, aes('d', 't')) + geom_bar(stat='identity')
Output:
Expected - is the same as the result of using pandas.DataFrame:
pandas.DataFrame
ggplot(df.to_pandas(), aes('d', 't')) + geom_bar(stat='identity')
The text was updated successfully, but these errors were encountered:
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Automatic detection of DateTime series does not work on
polars.DataFrame
.Example:
Output:
![Screenshot 2023-12-13 at 12 41 08](https://private-user-images.githubusercontent.com/46743085/290147369-b5998766-f0ea-43b0-9f1d-3427b71e7b51.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.isWDvaY968m1vz2_fquqnqOzgIYwGXfo4bmk5u3nOzA)
Expected - is the same as the result of using
pandas.DataFrame
:The text was updated successfully, but these errors were encountered: