From aa0963d0cd130b010f3bdfb31284187c4dac4d6b Mon Sep 17 00:00:00 2001 From: "Marco A. Lopez-Sanchez" Date: Fri, 31 May 2024 12:47:19 +0200 Subject: [PATCH] update templates --- .../grain_size_analysis_template.ipynb | 27 ++++++++++++------- .../paleopizometry_template.ipynb | 20 +++++++++----- .../stereology_analysis_template.ipynb | 15 ++++++++--- 3 files changed, 42 insertions(+), 20 deletions(-) diff --git a/grain_size_tools/grain_size_analysis_template.ipynb b/grain_size_tools/grain_size_analysis_template.ipynb index e441aed..3a9cb76 100644 --- a/grain_size_tools/grain_size_analysis_template.ipynb +++ b/grain_size_tools/grain_size_analysis_template.ipynb @@ -11,7 +11,10 @@ "> This is the template for a general grain size analysis. The specific documentation can be found at the following link: \n", "> https://github.com/marcoalopez/GrainSizeTools/wiki/2.-Quantifying-grain-size-populations-using-GrainSizeTools-Script \n", ">\n", - "> The template shows typical examples of grain size population analysis and different strategies for presenting them. Modify, delete and add as necessary to create your own analysis procedure." + "> The template shows typical examples of grain size population analysis and different strategies for presenting them. Modify, delete and add as necessary to create your own analysis procedure.\n", + ">\n", + "> If you find errors, please report them at https://github.com/marcoalopez/GrainSizeTools/issues \n", + "> If you have any questions or suggestions open a discussion at https://github.com/marcoalopez/GrainSizeTools/discussions" ] }, { @@ -383,7 +386,7 @@ "============================================================================\n", "Shapiro-Wilk test warnings:\n", "Data is not normally distributed!\n", - "Normality test: 0.94, 0.00 (test statistic, p-value)\n", + "Normality test: 0.95, 0.00 (test statistic, p-value)\n", "Data is not lognormally distributed!\n", "Lognormality test: 0.98, 0.00 (test statistic, p-value)\n", "============================================================================\n" @@ -542,7 +545,7 @@ "text": [ "=======================================\n", "Shapiro-Wilk test (lognormal):\n", - "0.97, 0.00 (test statistic, p-value)\n", + "0.99, 0.04 (test statistic, p-value)\n", "It doesnt look like a lognormal distribution (p-value < 0.05)\n", "(╯°□°)╯︵ ┻━┻\n", "=======================================\n" @@ -613,7 +616,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -622,7 +625,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -678,8 +681,8 @@ "output_type": "stream", "text": [ "Two-sample Kolmogorov-Smirnov test:\n", - " KS test statistic: 0.061\n", - "Statistic location: 34.74\n", + " KS test statistic: 0.058\n", + "Statistic location: 34.37\n", " p-value: 0.000\n" ] } @@ -706,8 +709,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Notebook last run in 2024-05-30 using:\n", - "Python 3.10.13 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:24:38) [MSC v.1916 64 bit (AMD64)]\n" + "Notebook last run in 2024-05-31 using:\n", + "Python 3.10.13 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:24:38) [MSC v.1916 64 bit (AMD64)]\n", + "Numpy 1.26.4\n", + "Pandas 2.2.1\n" ] } ], @@ -718,7 +723,9 @@ "today = date.today().isoformat()\n", "\n", "print(f'Notebook last run in {today} using:')\n", - "print('Python', sys.version)" + "print('Python', sys.version)\n", + "print('Numpy', np.__version__)\n", + "print('Pandas', pd.__version__)" ] } ], diff --git a/grain_size_tools/paleopizometry_template.ipynb b/grain_size_tools/paleopizometry_template.ipynb index 722a934..d8c9619 100644 --- a/grain_size_tools/paleopizometry_template.ipynb +++ b/grain_size_tools/paleopizometry_template.ipynb @@ -11,7 +11,10 @@ "> This is the template for the paleopiezometry module. The specific documentation can be found at the following link: \n", "> https://github.com/marcoalopez/GrainSizeTools/wiki/4.-Using-the-paleopiezometry-module \n", ">\n", - "> The template shows typical examples of paleopizometrys and different strategies for presenting them. Modify, delete and add as necessary to create your own analysis procedure." + "> The template shows typical examples of paleopizometrys and different strategies for presenting them. Modify, delete and add as necessary to create your own analysis procedure.\n", + ">\n", + "> If you find errors, please report them at https://github.com/marcoalopez/GrainSizeTools/issues \n", + "> If you have any questions or suggestions open a discussion at https://github.com/marcoalopez/GrainSizeTools/discussions" ] }, { @@ -48,7 +51,8 @@ "Welcome to the GrainSizetool piezometers module\n", "===================================================\n", "Piezometric database v2024.05.21 loaded.\n", - "To get the pizometric properties use:\n", + "\n", + "To get or display piezometric properties use:\n", ">>> piezometers..\n", "\n", "Available piezometric relationships:\n", @@ -80,7 +84,7 @@ "# Load the script. Ensure the notebook is in the same folder as the\n", "# GrainSizeTools.py file, if not specify the full path to the file.\n", "# e.g. %run filepath...\\GrainSizeTools_script.py\n", - "%run piezometers2.py" + "%run piezometers.py" ] }, { @@ -264,8 +268,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Notebook last run in 2024-05-30 using:\n", - "Python 3.10.13 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:24:38) [MSC v.1916 64 bit (AMD64)]\n" + "Notebook last run in 2024-05-31 using:\n", + "Python 3.10.13 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:24:38) [MSC v.1916 64 bit (AMD64)]\n", + "Numpy 1.26.4\n", + "Pandas 2.2.1\n" ] } ], @@ -276,7 +282,9 @@ "today = date.today().isoformat()\n", "\n", "print(f'Notebook last run in {today} using:')\n", - "print('Python', sys.version)" + "print('Python', sys.version)\n", + "print('Numpy', np.__version__)\n", + "print('Pandas', pd.__version__)" ] } ], diff --git a/grain_size_tools/stereology_analysis_template.ipynb b/grain_size_tools/stereology_analysis_template.ipynb index a159a37..f1c95e5 100644 --- a/grain_size_tools/stereology_analysis_template.ipynb +++ b/grain_size_tools/stereology_analysis_template.ipynb @@ -11,7 +11,10 @@ "> This is the template for using the stereology module. The specific documentation can be found at the following link: \n", "> https://github.com/marcoalopez/GrainSizeTools/wiki/3.-Using-the-stereology-module \n", ">\n", - "> The template shows typical examples of using the stereology module with grain size populations and different strategies for presenting them. Modify, delete and add as necessary to create your own analysis procedure." + "> The template shows typical examples of using the stereology module with grain size populations and different strategies for presenting them. Modify, delete and add as necessary to create your own analysis procedure.\n", + ">\n", + "> If you find errors, please report them at https://github.com/marcoalopez/GrainSizeTools/issues \n", + "> If you have any questions or suggestions open a discussion at https://github.com/marcoalopez/GrainSizeTools/discussions" ] }, { @@ -578,8 +581,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Notebook last run in 2024-05-30 using:\n", - "Python 3.10.13 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:24:38) [MSC v.1916 64 bit (AMD64)]\n" + "Notebook last run in 2024-05-31 using:\n", + "Python 3.10.13 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:24:38) [MSC v.1916 64 bit (AMD64)]\n", + "Numpy 1.26.4\n", + "Pandas 2.2.1\n" ] } ], @@ -590,7 +595,9 @@ "today = date.today().isoformat()\n", "\n", "print(f'Notebook last run in {today} using:')\n", - "print('Python', sys.version)" + "print('Python', sys.version)\n", + "print('Numpy', np.__version__)\n", + "print('Pandas', pd.__version__)" ] } ],