From 22830526858de670f7907408e736633860324550 Mon Sep 17 00:00:00 2001 From: Divasco Date: Wed, 5 Jun 2024 15:19:54 -0300 Subject: [PATCH] Xd --- MANIFEST.in | 2 + draft/Untitled-1.ipynb | 267 +++++------------------------ garpar/__init__.py | 2 +- garpar/core/__init__.py | 2 +- garpar/core/_mixins.py | 2 +- garpar/core/covcorr_acc.py | 2 +- garpar/core/div_acc.py | 2 +- garpar/core/ereturns_acc.py | 2 +- garpar/core/plot_acc.py | 6 +- garpar/core/portfolio.py | 2 +- garpar/core/prices_acc.py | 2 +- garpar/core/risk_acc.py | 2 +- garpar/core/utilities_acc.py | 2 +- garpar/datasets/__init__.py | 2 +- garpar/datasets/base.py | 2 +- garpar/datasets/data/__init__.py | 2 +- garpar/datasets/multisector.py | 2 +- garpar/datasets/risso.py | 2 +- garpar/io.py | 2 +- garpar/optimize.py | 2 +- garpar/utils/__init__.py | 2 +- garpar/utils/entropy.py | 2 +- garpar/utils/mabc.py | 2 +- garpar/utils/scalers.py | 2 +- setup.py | 2 +- tests/__init__.py | 2 +- tests/conftest.py | 2 +- tests/core/test_covcorr_acc.py | 2 +- tests/core/test_div_acc.py | 2 +- tests/core/test_ereturns_acc.py | 2 +- tests/core/test_mixins.py | 2 +- tests/core/test_plot_acc.py | 81 ++++++++- tests/core/test_portfolio.py | 2 +- tests/core/test_prices_acc.py | 2 +- tests/core/test_risk_acc.py | 2 +- tests/core/test_utilities_acc.py | 2 +- tests/datasets/test_base.py | 2 +- tests/datasets/test_data.py | 2 +- tests/datasets/test_multisector.py | 2 +- tests/datasets/test_risso.py | 2 +- tests/test_io.py | 2 +- tests/test_optimize.py | 2 +- tests/utils/test_entropy.py | 2 +- tests/utils/test_mabc.py | 2 +- tests/utils/test_scalers.py | 2 +- tox.ini | 2 +- 46 files changed, 168 insertions(+), 272 deletions(-) diff --git a/MANIFEST.in b/MANIFEST.in index a9f814e..8a63223 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,12 +1,14 @@ include LICENSE include README.md include pyproject.toml +include ejemplo.py recursive-include garpar *.csv exclude tox.ini exclude .header-template exclude requirements.txt +exclude requirements_dev.txt recursive-exclude tests * recursive-exclude draft * diff --git a/draft/Untitled-1.ipynb b/draft/Untitled-1.ipynb index 3a8b972..a84ee17 100644 --- a/draft/Untitled-1.ipynb +++ b/draft/Untitled-1.ipynb @@ -2,239 +2,55 @@ "cells": [ { "cell_type": "code", - "execution_count": 23, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "from garpar.datasets import *\n", + "from garpar.datasets import make_risso_uniform\n", + "from garpar.core.plot_acc import PortfolioPlotter\n", "import pandas as pd\n", "import numpy as np\n", "\n", - "pf = load_MERVAL()" + "pf = make_risso_uniform(random_state=42)\n", + "\n", + "plotter = PortfolioPlotter(pf)\n", + "\n", + "plotter.line()" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 25, "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
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StocksALUABBARBYMACEPUCOMECRESCVHEDNGGALHARG...MOLAMOLIMORIOESTPATAPOLLRIGOSAMISEMITGLT
Days
2012-01-031.837.830.01.880.564.720.01.403.023.93...0.023.092.141.012.363.339.884.741.0111.2
2012-01-042.068.640.01.920.564.850.01.503.353.81...0.023.332.211.012.363.339.884.641.0111.3
2012-01-052.108.920.01.960.564.810.01.523.383.72...0.023.331.991.072.363.669.884.471.0511.3
2012-01-062.109.360.01.960.564.810.01.653.513.64...0.024.132.101.072.363.709.884.641.0511.3
2012-01-092.079.350.01.960.554.720.01.653.513.59...0.023.891.961.072.363.909.884.721.0511.3
\n", - "

5 rows × 52 columns

\n", - "
" - ], - "text/plain": [ - "Stocks ALUA BBAR BYMA CEPU COME CRES CVH EDN GGAL HARG ... \n", - "Days ... \n", - "2012-01-03 1.83 7.83 0.0 1.88 0.56 4.72 0.0 1.40 3.02 3.93 ... \\\n", - "2012-01-04 2.06 8.64 0.0 1.92 0.56 4.85 0.0 1.50 3.35 3.81 ... \n", - "2012-01-05 2.10 8.92 0.0 1.96 0.56 4.81 0.0 1.52 3.38 3.72 ... \n", - "2012-01-06 2.10 9.36 0.0 1.96 0.56 4.81 0.0 1.65 3.51 3.64 ... \n", - "2012-01-09 2.07 9.35 0.0 1.96 0.55 4.72 0.0 1.65 3.51 3.59 ... \n", - "\n", - "Stocks MOLA MOLI MORI OEST PATA POLL RIGO SAMI SEMI TGLT \n", - "Days \n", - "2012-01-03 0.0 23.09 2.14 1.01 2.36 3.33 9.88 4.74 1.01 11.2 \n", - "2012-01-04 0.0 23.33 2.21 1.01 2.36 3.33 9.88 4.64 1.01 11.3 \n", - "2012-01-05 0.0 23.33 1.99 1.07 2.36 3.66 9.88 4.47 1.05 11.3 \n", - "2012-01-06 0.0 24.13 2.10 1.07 2.36 3.70 9.88 4.64 1.05 11.3 \n", - "2012-01-09 0.0 23.89 1.96 1.07 2.36 3.90 9.88 4.72 1.05 11.3 \n", - "\n", - "[5 rows x 52 columns]" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" + "ename": "SyntaxError", + "evalue": "invalid syntax (14757903.py, line 1)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m Cell \u001b[0;32mIn[25], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m print(plotter.__call__??)\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" + ] } ], "source": [ @@ -774,7 +590,7 @@ ], "metadata": { "kernelspec": { - "display_name": "garpar", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -788,10 +604,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "orig_nbformat": 4 + "version": "3.12.3" + } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/garpar/__init__.py b/garpar/__init__.py index 6f9d228..28d89de 100644 --- a/garpar/__init__.py +++ b/garpar/__init__.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/core/__init__.py b/garpar/core/__init__.py index 0133e57..a1352ca 100644 --- a/garpar/core/__init__.py +++ b/garpar/core/__init__.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/core/_mixins.py b/garpar/core/_mixins.py index 9634d38..f659ed2 100644 --- a/garpar/core/_mixins.py +++ b/garpar/core/_mixins.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/core/covcorr_acc.py b/garpar/core/covcorr_acc.py index d6b8ed2..9b510bb 100644 --- a/garpar/core/covcorr_acc.py +++ b/garpar/core/covcorr_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/core/div_acc.py b/garpar/core/div_acc.py index ee1aa76..6c3bb72 100644 --- a/garpar/core/div_acc.py +++ b/garpar/core/div_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/core/ereturns_acc.py b/garpar/core/ereturns_acc.py index c96a65e..8e22f84 100644 --- a/garpar/core/ereturns_acc.py +++ b/garpar/core/ereturns_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/core/plot_acc.py b/garpar/core/plot_acc.py index 6367943..b859053 100644 --- a/garpar/core/plot_acc.py +++ b/garpar/core/plot_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE @@ -195,7 +195,7 @@ def wbox(self, **kwargs): """ data, title = self._wdf() - ax = sns.boxplot(data=data**kwargs) + ax = sns.boxplot(data=data, **kwargs) ax.set_title(title) return ax @@ -249,7 +249,7 @@ def wkde(self, **kwargs): """ data, title = self._wdf() - ax = sns.kdeplot(data=data**kwargs) + ax = sns.kdeplot(data=data, **kwargs) ax.set_title(title) return ax diff --git a/garpar/core/portfolio.py b/garpar/core/portfolio.py index 264f5c4..b5d1118 100644 --- a/garpar/core/portfolio.py +++ b/garpar/core/portfolio.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/core/prices_acc.py b/garpar/core/prices_acc.py index 16ec7b7..2115026 100644 --- a/garpar/core/prices_acc.py +++ b/garpar/core/prices_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/core/risk_acc.py b/garpar/core/risk_acc.py index 6627d6e..61b48f9 100644 --- a/garpar/core/risk_acc.py +++ b/garpar/core/risk_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/core/utilities_acc.py b/garpar/core/utilities_acc.py index 1a8e307..19eb4c6 100644 --- a/garpar/core/utilities_acc.py +++ b/garpar/core/utilities_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/datasets/__init__.py b/garpar/datasets/__init__.py index d686996..7a5dc49 100644 --- a/garpar/datasets/__init__.py +++ b/garpar/datasets/__init__.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/datasets/base.py b/garpar/datasets/base.py index 7f7e095..ba1993c 100644 --- a/garpar/datasets/base.py +++ b/garpar/datasets/base.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/datasets/data/__init__.py b/garpar/datasets/data/__init__.py index 3c48688..ae9b2ee 100644 --- a/garpar/datasets/data/__init__.py +++ b/garpar/datasets/data/__init__.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/datasets/multisector.py b/garpar/datasets/multisector.py index 5ae858a..c4b03e1 100644 --- a/garpar/datasets/multisector.py +++ b/garpar/datasets/multisector.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/datasets/risso.py b/garpar/datasets/risso.py index 0384622..e00bc80 100644 --- a/garpar/datasets/risso.py +++ b/garpar/datasets/risso.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/io.py b/garpar/io.py index fa4cb7b..3322bbc 100644 --- a/garpar/io.py +++ b/garpar/io.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/optimize.py b/garpar/optimize.py index 40cb2fa..0957bd6 100644 --- a/garpar/optimize.py +++ b/garpar/optimize.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/utils/__init__.py b/garpar/utils/__init__.py index 3a0da35..45151cc 100644 --- a/garpar/utils/__init__.py +++ b/garpar/utils/__init__.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/utils/entropy.py b/garpar/utils/entropy.py index 31c2b68..3829905 100644 --- a/garpar/utils/entropy.py +++ b/garpar/utils/entropy.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/utils/mabc.py b/garpar/utils/mabc.py index 59363fb..d902fdd 100644 --- a/garpar/utils/mabc.py +++ b/garpar/utils/mabc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/garpar/utils/scalers.py b/garpar/utils/scalers.py index 6a312b7..f64153b 100644 --- a/garpar/utils/scalers.py +++ b/garpar/utils/scalers.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/setup.py b/setup.py index 6143d5d..6f0665d 100644 --- a/setup.py +++ b/setup.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/__init__.py b/tests/__init__.py index 6a9d62c..0353b12 100644 --- a/tests/__init__.py +++ b/tests/__init__.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/conftest.py b/tests/conftest.py index 04cb9df..d708c3a 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/core/test_covcorr_acc.py b/tests/core/test_covcorr_acc.py index 43e9111..904e364 100644 --- a/tests/core/test_covcorr_acc.py +++ b/tests/core/test_covcorr_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/core/test_div_acc.py b/tests/core/test_div_acc.py index 15c7084..3762083 100644 --- a/tests/core/test_div_acc.py +++ b/tests/core/test_div_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/core/test_ereturns_acc.py b/tests/core/test_ereturns_acc.py index e247571..fb58396 100644 --- a/tests/core/test_ereturns_acc.py +++ b/tests/core/test_ereturns_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/core/test_mixins.py b/tests/core/test_mixins.py index efce904..e44bcca 100644 --- a/tests/core/test_mixins.py +++ b/tests/core/test_mixins.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/core/test_plot_acc.py b/tests/core/test_plot_acc.py index 7151c2a..25e4029 100644 --- a/tests/core/test_plot_acc.py +++ b/tests/core/test_plot_acc.py @@ -4,4 +4,83 @@ # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE -# TODO TESTEAR \ No newline at end of file +# TODO TESTEAR +import pytest +from garpar.datasets.risso import make_risso_uniform +from garpar.core.plot_acc import PortfolioPlotter + +@pytest.fixture(scope="module") +def plot_fn(): + def _plot(type): + pf = make_risso_uniform(random_state=42) + plotter = PortfolioPlotter(pf) + plotter.__call__(type) + + return _plot + + +def test_portfolio_plotter_line(plot_fn): + plot_fn("line") + +def test_portfolio_plotter_heatmap(risso_portfolio): + pf = risso_portfolio(random_state=42) + + plotter = PortfolioPlotter(pf) + + plotter.heatmap() + +def test_portfolio_plotter_wheatmap(risso_portfolio): + pf = risso_portfolio(random_state=42) + + plotter = PortfolioPlotter(pf) + + plotter.wheatmap() + +def test_portfolio_plotter_hist(risso_portfolio): + pf = risso_portfolio(random_state=42) + + plotter = PortfolioPlotter(pf) + + plotter.hist() + +def test_portfolio_whist(risso_portfolio): + pf = risso_portfolio(random_state=42) + + plotter = PortfolioPlotter(pf) + + plotter.whist() + +def test_portfolio_box(risso_portfolio): + pf = risso_portfolio(random_state=42) + + plotter = PortfolioPlotter(pf) + + plotter.box() + +def test_portfolio_wbox(risso_portfolio): + pf = risso_portfolio(random_state=42) + + plotter = PortfolioPlotter(pf) + + plotter.wbox() + +def test_portfolio_kde(risso_portfolio): + pf = risso_portfolio(random_state=42) + + plotter = PortfolioPlotter(pf) + + plotter.kde() + +def test_portfolio_wkde(risso_portfolio): + pf = risso_portfolio(random_state=42) + + plotter = PortfolioPlotter(pf) + + plotter.wkde() + +def test_portfolio_ogive(risso_portfolio): + pf = risso_portfolio(random_state=42) + + plotter = PortfolioPlotter(pf) + + plotter.ogive() diff --git a/tests/core/test_portfolio.py b/tests/core/test_portfolio.py index 449be3d..0241538 100644 --- a/tests/core/test_portfolio.py +++ b/tests/core/test_portfolio.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/core/test_prices_acc.py b/tests/core/test_prices_acc.py index f1547ff..d41f049 100644 --- a/tests/core/test_prices_acc.py +++ b/tests/core/test_prices_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/core/test_risk_acc.py b/tests/core/test_risk_acc.py index 0522e18..9e7bffe 100644 --- a/tests/core/test_risk_acc.py +++ b/tests/core/test_risk_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/core/test_utilities_acc.py b/tests/core/test_utilities_acc.py index f6a9c2c..8d5de32 100644 --- a/tests/core/test_utilities_acc.py +++ b/tests/core/test_utilities_acc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/datasets/test_base.py b/tests/datasets/test_base.py index 08ab642..a979a9a 100644 --- a/tests/datasets/test_base.py +++ b/tests/datasets/test_base.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/datasets/test_data.py b/tests/datasets/test_data.py index f2aa509..714a715 100644 --- a/tests/datasets/test_data.py +++ b/tests/datasets/test_data.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/datasets/test_multisector.py b/tests/datasets/test_multisector.py index 2873f19..3312161 100644 --- a/tests/datasets/test_multisector.py +++ b/tests/datasets/test_multisector.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/datasets/test_risso.py b/tests/datasets/test_risso.py index 63a02f9..3ad0ba8 100644 --- a/tests/datasets/test_risso.py +++ b/tests/datasets/test_risso.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/test_io.py b/tests/test_io.py index 1f6de6f..1415742 100644 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/test_optimize.py b/tests/test_optimize.py index cc32318..3642127 100644 --- a/tests/test_optimize.py +++ b/tests/test_optimize.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/utils/test_entropy.py b/tests/utils/test_entropy.py index b3e0ee8..57e84e2 100644 --- a/tests/utils/test_entropy.py +++ b/tests/utils/test_entropy.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/utils/test_mabc.py b/tests/utils/test_mabc.py index fc86dc9..025c9e9 100644 --- a/tests/utils/test_mabc.py +++ b/tests/utils/test_mabc.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tests/utils/test_scalers.py b/tests/utils/test_scalers.py index 296c566..b65b137 100644 --- a/tests/utils/test_scalers.py +++ b/tests/utils/test_scalers.py @@ -1,6 +1,6 @@ # This file is part of the # Garpar Project (https://github.com/quatrope/garpar). -# Copyright (c) 2021, 2022, Nadia Luczywo, Juan Cabral and QuatroPe +# Copyright (c) 2021, 2022, 2023, 2024, Diego Gimenez, Nadia Luczywo, Juan Cabral and QuatroPe # License: MIT # Full Text: https://github.com/quatrope/garpar/blob/master/LICENSE diff --git a/tox.ini b/tox.ini index b6627ec..21682d4 100644 --- a/tox.ini +++ b/tox.ini @@ -5,10 +5,10 @@ envlist = check-manifest, check-testdir, check-headers, - py38, py39, py310, py311, + #py312, no funca en arch (?) FIXME coverage,