From 0afcf9a1c15551be2845d1975f6b3b2c32ad163b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Morales?= Date: Thu, 28 Nov 2024 12:31:50 -0600 Subject: [PATCH] deps(pandas): address frequency alias deprecations in `generate_series` (#139) --- nbs/compat.ipynb | 14 -------------- nbs/data.ipynb | 25 +++++++++++++++---------- nbs/imgs/plotting.png | Bin 96031 -> 83593 bytes nbs/plotting.ipynb | 14 ++++++++++++-- utilsforecast/compat.py | 14 -------------- utilsforecast/data.py | 13 +++++++++---- 6 files changed, 36 insertions(+), 44 deletions(-) diff --git a/nbs/compat.ipynb b/nbs/compat.ipynb index 1159d01..40600c6 100644 --- a/nbs/compat.ipynb +++ b/nbs/compat.ipynb @@ -58,20 +58,6 @@ " POLARS_INSTALLED = False\n", "\n", "try:\n", - " import plotly # noqa: F401\n", - "\n", - " PLOTLY_INSTALLED = True\n", - "except ImportError:\n", - " PLOTLY_INSTALLED = False\n", - "\n", - "try:\n", - " import plotly_resampler # noqa: F401\n", - "\n", - " PLOTLY_RESAMPLER_INSTALLED = True\n", - "except ImportError:\n", - " PLOTLY_RESAMPLER_INSTALLED = False\n", - "\n", - "try:\n", " from numba import njit # noqa: F04\n", "except ImportError:\n", " def _doublewrap(f):\n", diff --git a/nbs/data.ipynb b/nbs/data.ipynb index d24d9be..f077059 100644 --- a/nbs/data.ipynb +++ b/nbs/data.ipynb @@ -118,7 +118,7 @@ " Number of series for synthetic panel.\n", " freq : str (default='D')\n", " Frequency of the data (pandas alias).\n", - " Seasonalities are implemented for 'H', 'D' and 'M'.\n", + " Seasonalities are implemented for hourly, daily and monthly.\n", " min_length : int (default=50)\n", " Minimum length of synthetic panel's series.\n", " max_length : int (default=500)\n", @@ -126,7 +126,7 @@ " n_static_features : int (default=0)\n", " Number of static exogenous variables for synthetic panel's series.\n", " equal_ends : bool (default=False)\n", - " Series should end in the same date stamp `ds`.\n", + " Series should end in the same timestamp.\n", " with_trend : bool (default=False)\n", " Series should have a (positive) trend.\n", " static_as_categorical : bool (default=True)\n", @@ -151,10 +151,15 @@ " raise ValueError(\n", " f\"{engine} is not a correct engine; available options: {available_engines}\"\n", " )\n", - " seasonalities = {'H': 24, 'D': 7, 'M': 12}\n", - " season = seasonalities.get(freq, 1)\n", - " freq = pd.tseries.frequencies.to_offset(freq) \n", - " \n", + " seasonalities = {\n", + " pd.offsets.Hour(): 24,\n", + " pd.offsets.Day(): 7,\n", + " pd.offsets.MonthBegin(): 12,\n", + " pd.offsets.MonthEnd(): 12,\n", + " }\n", + " freq = pd.tseries.frequencies.to_offset(freq)\n", + " season = seasonalities.get(freq, 1) \n", + "\n", " rng = np.random.RandomState(seed)\n", " series_lengths = rng.randint(min_length, max_length + 1, n_series)\n", " total_length = series_lengths.sum()\n", @@ -234,11 +239,11 @@ "| | **Type** | **Default** | **Details** |\n", "| -- | -------- | ----------- | ----------- |\n", "| n_series | int | | Number of series for synthetic panel. |\n", - "| freq | str | D | Frequency of the data (pandas alias).
Seasonalities are implemented for 'H', 'D' and 'M'. |\n", + "| freq | str | D | Frequency of the data (pandas alias).
Seasonalities are implemented for hourly, daily and monthly. |\n", "| min_length | int | 50 | Minimum length of synthetic panel's series. |\n", "| max_length | int | 500 | Maximum length of synthetic panel's series. |\n", "| n_static_features | int | 0 | Number of static exogenous variables for synthetic panel's series. |\n", - "| equal_ends | bool | False | Series should end in the same date stamp `ds`. |\n", + "| equal_ends | bool | False | Series should end in the same timestamp. |\n", "| with_trend | bool | False | Series should have a (positive) trend. |\n", "| static_as_categorical | bool | True | Static features should have a categorical data type. |\n", "| n_models | int | 0 | Number of models predictions to simulate. |\n", @@ -266,11 +271,11 @@ "| | **Type** | **Default** | **Details** |\n", "| -- | -------- | ----------- | ----------- |\n", "| n_series | int | | Number of series for synthetic panel. |\n", - "| freq | str | D | Frequency of the data (pandas alias).
Seasonalities are implemented for 'H', 'D' and 'M'. |\n", + "| freq | str | D | Frequency of the data (pandas alias).
Seasonalities are implemented for hourly, daily and monthly. |\n", "| min_length | int | 50 | Minimum length of synthetic panel's series. |\n", "| max_length | int | 500 | Maximum length of synthetic panel's series. |\n", "| n_static_features | int | 0 | Number of static exogenous variables for synthetic panel's series. |\n", - "| equal_ends | bool | False | Series should end in the same date stamp `ds`. |\n", + "| equal_ends | bool | False | Series should end in the same timestamp. |\n", "| with_trend | bool | False | Series should have a (positive) trend. |\n", "| static_as_categorical | bool | True | Static features should have a categorical data type. |\n", "| n_models | int | 0 | Number of models predictions to simulate. |\n", diff --git a/nbs/imgs/plotting.png b/nbs/imgs/plotting.png index 59004863e3277ec0479232f46e83a99fb4f2fec0..c75473c735906a321f082d4f26fcd5447ec858e2 100644 GIT binary patch literal 83593 zcmc$`byU@Bw>G@!7Nol@LP{y=GFV8ei1Y$QIwVD;S%9R9iXa_=k}4tHSSSq=QU)Oc 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