khurchla
/ numpy_unique.py
Created
July 15, 2022 13:46
factorize string objects with python numpy courtesy of Matt
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| unique = np.unique(df[['Rank 1','Rank 2','Rank 3','Rank 78','Rank 79','Rank 80']]) | |
| factors = np.arange(len(unique)) | |
| df[['Rank 1','Rank 2','Rank 3','Rank 78','Rank 79','Rank 80']] = df[['Rank 1','Rank 2','Rank 3','Rank 78','Rank 79','Rank 80']].replace(unique, factors) | |
| df |
khurchla
/ whylogs_profile_views.py
Last active
June 7, 2022 02:33
whylogs v1 profile visualizer examples
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| import whylogs as why | |
| result = why.log(pandas=wine_target) | |
| prof_view = result.view() | |
| result_ref = why.log(pandas=wine_reference) | |
| prof_view_ref = result_ref.view() | |
| from whylogs.viz import NotebookProfileVisualizer | |
| visualization = NotebookProfileVisualizer() |
khurchla
/ profile_visualizer_transform_quality
Created
June 7, 2022 02:24
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| # add some missing values to a feature to see how they | |
| ixs = wine.iloc[100:110].index | |
| wine.loc[ixs,'citric acid'] = None | |
| bins = (2, 6.5, 8) | |
| group_names = ['bad', 'good'] | |
| wine_reference['quality'] = pd.cut(wine_reference['quality'], bins = bins, labels = group_names) | |
| wine_target['quality'] = pd.cut(wine_target['quality'], bins = bins, labels = group_names) |
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| cond_reference = (wine['alcohol']<=11) | |
| wine_reference = wine.loc[cond_reference] | |
| cond_target = (wine['alcohol']>11) | |
| wine_target = wine.loc[cond_target] |
khurchla
/ Notebook_Profile_Visualizer_drift_analysis_load_data.ipynb
Created
June 7, 2022 02:09
whylogs profile visualizer example
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khurchla
/ profile_visualizer_initialize
Created
June 7, 2022 01:55
initialize whylogs v1 profile visualizer
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| from whylogs.viz import NotebookProfileVisualizer | |
| visualization = NotebookProfileVisualizer() | |
| visualization.set_profiles(target_profile_view=prof_view, reference_profile_view=prof_view_ref) |
khurchla
/ Notebook_Profile_Visualizer_drift_analysis-wine_quality_drift_report.ipynb
Last active
June 7, 2022 01:47
demo example of whylogs v1 profile visualizer summary drift report to compare two data profile views
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khurchla
/ whylogs_profile_visualizer_install_dependencies.ipynb
Last active
June 7, 2022 01:33
whylogs v1 profile visualizer install dependencies in a Jupyter Notebook
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khurchla
/ profile_visualizer_visualization_write.py
Last active
June 7, 2022 02:47
download whylogs profile visualizer charts or report in HTML format
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| # write the Difference Distribution bar chart of the citric acid feature to file | |
| # in an output subdirectory | |
| import os | |
| os.getcwd() | |
| visualization.write( | |
| rendered_html=visualization.difference_distribution_chart( | |
| feature_name="citric acid", profile="target" | |
| ), | |
| html_file_name=os.getcwd() + "/output/diff_dist_citric_acid_example", | |
| ) |
khurchla
/ radial_charts.py
Created
May 27, 2022 23:05
Plotly Dash Python Radial Chart manual subplots
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| values = {'Timestamp':['5/20/2022 19:44:43', '5/20/2022 20:14:36', | |
| '5/20/2022 20:14:38', '5/20/2022 20:14:39', | |
| '5/20/2022 19:44:43', '5/20/2022 20:14:46', | |
| '5/20/2022 20:14:47', '5/20/2022 19:44:49', | |
| '5/20/2022 20:14:51', '5/20/2022 20:14:53', | |
| '5/20/2022 20:14:56'], | |
| 'Build':[6, 4, 6, 6, 3, 6, 1, 4, 5, 6, 2], | |
| 'Story':[6, 3, 6, 5, 6, 3, 1, 3, 3, 3, 1], | |
| 'Design':[6, 6, 5, 4, 4, 4, 2, 6, 1, 2, 2], | |
| 'Systems':[6, 2, 6, 1, 1, 5, 6, 1, 2, 3, 2], |
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