From 400707dd690a1a3e3718a9defa782cd24ea43e8d Mon Sep 17 00:00:00 2001 From: Matt Dancho Date: Thu, 5 Oct 2023 09:02:11 -0400 Subject: [PATCH] doc updates - changelog --- docs/_site/404.html | 2 +- docs/_site/CHANGELOG.html | 6 +- docs/_site/contributing.html | 2 +- .../getting-started/01_installation.html | 2 +- .../_site/getting-started/02_quick_start.html | 2 +- docs/_site/guides/01_visualization.html | 2 +- docs/_site/guides/02_timetk_concepts.html | 2 +- docs/_site/guides/03_pandas_frequency.html | 2 +- docs/_site/guides/04_wrangling.html | 2 +- docs/_site/guides/05_augmenting.html | 2 +- docs/_site/index.html | 2 +- docs/_site/reference/augment_expanding.html | 2 +- .../reference/augment_holiday_signature.html | 2 +- docs/_site/reference/augment_lags.html | 2 +- docs/_site/reference/augment_leads.html | 2 +- docs/_site/reference/augment_rolling.html | 2 +- .../augment_timeseries_signature.html | 2 +- .../flatten_multiindex_column_names.html | 2 +- docs/_site/reference/floor_date.html | 2 +- docs/_site/reference/future_frame.html | 2 +- .../reference/get_available_datasets.html | 2 +- docs/_site/reference/get_date_summary.html | 2 +- docs/_site/reference/get_diff_summary.html | 2 +- docs/_site/reference/get_frequency.html | 2 +- .../reference/get_frequency_summary.html | 2 +- .../reference/get_holiday_signature.html | 2 +- .../_site/reference/get_pandas_frequency.html | 2 +- .../reference/get_timeseries_signature.html | 2 +- docs/_site/reference/glimpse.html | 2 +- docs/_site/reference/index.html | 2 +- docs/_site/reference/is_holiday.html | 2 +- docs/_site/reference/load_dataset.html | 2 +- .../reference/make_future_timeseries.html | 2 +- .../reference/make_weekday_sequence.html | 2 +- .../reference/make_weekend_sequence.html | 2 +- docs/_site/reference/pad_by_time.html | 2 +- docs/_site/reference/palette_timetk.html | 2 +- docs/_site/reference/plot_timeseries.html | 2 +- docs/_site/reference/summarize_by_time.html | 2 +- docs/_site/reference/theme_timetk.html | 2 +- .../timeseries_unit_frequency_table.html | 2 +- docs/_site/reference/ts_features.html | 2 +- docs/_site/reference/ts_summary.html | 2 +- docs/_site/reference/week_of_month.html | 2 +- docs/_site/search.json | 4 +- docs/_site/sitemap.xml | 98 +++++++++---------- docs/_site/tutorials/01_sales_crm.html | 2 +- docs/_site/tutorials/02_finance.html | 2 +- .../tutorials/03_demand_forecasting.html | 2 +- .../_site/tutorials/04_anomaly_detection.html | 2 +- docs/_site/tutorials/05_clustering.html | 2 +- 51 files changed, 102 insertions(+), 102 deletions(-) diff --git a/docs/_site/404.html b/docs/_site/404.html index d4765053..b16b7d04 100644 --- a/docs/_site/404.html +++ b/docs/_site/404.html @@ -254,7 +254,7 @@
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"objectID": "CHANGELOG.html", - "href": "CHANGELOG.html", + "objectID": "changelog.html", + "href": "changelog.html", "title": "Changelog for PyTimeTK", "section": "", "text": "1 pytimetk 0.1.0.9000 (in development)\nNew Functions:\n\naugment_expanding()\nget_frequency()\n\nNew Data Sets:\n\nexpedia : Expedia hotel searches\n\n\n\n2 pytimetk 0.1.0 (2023-10-02)\n\nAbout the Initial release.\nThis release includes the following features:\n\nA workhorse plotting function called plot_timeseries() πŸ’ͺ\nThree (3) data wrangling functions that will simplify 90% of time series tasks πŸ™\nFive (5) β€œaugmentor” functions: These add hundreds of features to time series to help in predictive tasks 🧠\nTwo (2) time series feature summarizes: identify key aspects of your time series πŸ”\nNine (9) pandas series and DatetimeIndex helpers (work more easily with these timestamp data structures) ⏲\nFour (4) date utility functions that fill in missing function gaps in pandas 🐼\nTwo (2) Visualization utilities to help you customize your visualizations and make them look MORE professional πŸ“ˆ\nTwo (2) Pandas helpers that help clean up and understand pandas data frames with time series πŸŽ‡\nTwelve (12) time series datasets that you can practice PyTimeTK time series analysis on πŸ”’\n\n\n\nThe PyTimeTK website comes with:\n\nTwo (2) Getting started tutorials\nFive (5) Guides covering common tasks\nComing Soon: Applied Tutorials in Sales, Finance, Demand Forecasting, Anomaly Detection, and more." diff --git a/docs/_site/sitemap.xml b/docs/_site/sitemap.xml index f4ccb923..843c2716 100644 --- a/docs/_site/sitemap.xml +++ b/docs/_site/sitemap.xml @@ -2,194 +2,194 @@ https://business-science.github.io/pytimetk/reference/ts_features.html - 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