* Check frequency of data
* If sub-daily, use plot_seasonality()
* Format xticks as weekdays for plot_seasonality()
* Display 8 xticks for weekly component
* Issue #1525: Using m.construct_holiday_dataframe() to make sure 'holidays' is a DataFrame.
* #1525 | issuecomment-639399524 | enhancement: have plotly graph the holiday component consistent with matplotlib.
Co-authored-by: Robin Teuwens <teuwens@electris.lu>
* Added feature to mask seasonality
* Added conditional seasonality tests and fixed plotting it
* Fixed diagnostics for conditional seasonality and cleaned up code
* Update and rename README to README.md and Unicode strings
Updated Readme file and converted from rst to markdown.
String contains ascii characters (converted to unicode string)
Signed-off-by: Mpho Mphego mpho112@gmail.com
* Deprecated import `from __future__ import unicode_literals` removed and ran isort module
https://mail.python.org/pipermail/python-dev/2016-December/147009.html
Included setuptool-git in the requirement.txt and updated `setup.py`
Reasons for this are highlighted here -> https://github.com/msabramo/setuptools-git#usage
If this is installed on a 32-bit system (rare nowadays, but they still exist) then the conversion to `int` from `timedelta64[ns]` in `plot_cross_validation_metric` will fail. This patch explicitly uses an `np.int64` for this conversion.
