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forecasting_growth.ipynb
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e51b42b336
Initial commit
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%!s(int64=8) %!d(string=hai) anos |
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holiday_effects.ipynb
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e51b42b336
Initial commit
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%!s(int64=8) %!d(string=hai) anos |
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non-daily_data.ipynb
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e51b42b336
Initial commit
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%!s(int64=8) %!d(string=hai) anos |
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outliers.ipynb
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e51b42b336
Initial commit
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%!s(int64=8) %!d(string=hai) anos |
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quick_start.ipynb
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2c8419e673
Fix missing m/d on trend component plot. Previously we used MaxNLocator to limit the number of tick marks on the trend and holiday component plots. This was putting the ticks at various points throughout the year, however the tick label showed only the year, which one would incorrectly assume to be Jan 1. This commit removes MaxNLocator and allows matplotlib to set xticks as it pleases, and updates the effected documentation.
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%!s(int64=8) %!d(string=hai) anos |
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trend_changepoints.ipynb
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e51b42b336
Initial commit
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%!s(int64=8) %!d(string=hai) anos |
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uncertainty_intervals.ipynb
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e51b42b336
Initial commit
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%!s(int64=8) %!d(string=hai) anos |
Ben Letham
2c8419e673
Fix missing m/d on trend component plot. Previously we used MaxNLocator to limit the number of tick marks on the trend and holiday component plots. This was putting the ticks at various points throughout the year, however the tick label showed only the year, which one would incorrectly assume to be Jan 1. This commit removes MaxNLocator and allows matplotlib to set xticks as it pleases, and updates the effected documentation.