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get_column_pair_plot
Starting from SDV 1.0, users will provide a new metadata format. The current version of SDMetrics (0.9.1) already supports this format.
However, I am having an issue when the datetime columns are present in a string format such as: "27 Dec 2020" (format string ="%d %b %Y")
"27 Dec 2020"
"%d %b %Y"
Replicate using SDV 1.0
from sdv.datasets.demo import download_demo from sdv.lite import SingleTablePreset from sdv.evaluation.single_table import get_column_pair_plot real_data, metadata = download_demo( modality='single_table', dataset_name='fake_hotel_guests' ) synthesizer = SingleTablePreset(metadata, name='FAST_ML') synthesizer.fit(real_data) synthetic_data = synthesizer.sample(num_rows=500) fig = get_column_pair_plot( real_data=real_data, synthetic_data=synthetic_data, column_names=['checkin_date', 'amenities_fee'], metadata=metadata )
Observe that only the real data shows up in the plot. The synthetic data is missing:
The text was updated successfully, but these errors were encountered:
frances-h
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Environment Details
Error Description
Starting from SDV 1.0, users will provide a new metadata format. The current version of SDMetrics (0.9.1) already supports this format.
However, I am having an issue when the datetime columns are present in a string format such as:
"27 Dec 2020"
(format string ="%d %b %Y"
)Steps to reproduce
Replicate using SDV 1.0
Observe that only the real data shows up in the plot. The synthetic data is missing:
The text was updated successfully, but these errors were encountered: