diff --git a/docs/source/notebooks/Create_results_in_figure_2.ipynb b/docs/source/notebooks/Create_results_in_figure_2.ipynb index ea6af20..8d3292f 100644 --- a/docs/source/notebooks/Create_results_in_figure_2.ipynb +++ b/docs/source/notebooks/Create_results_in_figure_2.ipynb @@ -13,10 +13,6 @@ "metadata": {}, "outputs": [], "source": [ - "%load_ext autoreload\n", - "%autoreload 2\n", - "\n", - "import pandas\n", "import numpy as np\n", "import arviz as az\n", "from pathlib import Path\n", @@ -28,7 +24,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Exemplary result with a single peak" + "## Exemplary result with a single peak" ] }, { @@ -704,7 +700,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Exemplary result with a double peak" + "## Exemplary result with a double peak" ] }, { diff --git a/docs/source/notebooks/Create_validation_plot_from_raw_data.ipynb b/docs/source/notebooks/Create_validation_plot_from_raw_data.ipynb index 516b397..0ec543b 100644 --- a/docs/source/notebooks/Create_validation_plot_from_raw_data.ipynb +++ b/docs/source/notebooks/Create_validation_plot_from_raw_data.ipynb @@ -15,14 +15,9 @@ "metadata": {}, "outputs": [], "source": [ - "%load_ext autoreload\n", - "%autoreload 2\n", - "\n", - "import arviz as az\n", "import json\n", "import numpy as np\n", "import pandas\n", - "import pymc as pm\n", "from matplotlib import pyplot as plt\n", "from pathlib import Path" ] @@ -31,7 +26,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### 1) Preparation of evaluation of synthetic data (test 1)" + "# Preparation of evaluation of synthetic data (test 1)" ] }, { @@ -48,7 +43,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### 2) Prepartion of border-line cases normal vs. skew normal (test 2)" + "# Prepartion of border-line cases normal vs. skew normal (test 2)" ] }, { @@ -78,7 +73,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### 3) Prepartion of comparison to MultiQuant (test 3)" + "# Prepartion of comparison to MultiQuant (test 3)" ] }, { @@ -96,7 +91,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### 4) Plotting in one graph (for PeakPerformance paper)" + "# Plotting in one graph (for PeakPerformance paper)" ] }, { diff --git a/docs/source/notebooks/Processing_test_1_raw_data.ipynb b/docs/source/notebooks/Processing_test_1_raw_data.ipynb index 2810339..e29fcba 100644 --- a/docs/source/notebooks/Processing_test_1_raw_data.ipynb +++ b/docs/source/notebooks/Processing_test_1_raw_data.ipynb @@ -1,19 +1,20 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Process raw data from synthetic tests" + ] + }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ - "%load_ext autoreload\n", - "%autoreload 2\n", - "\n", - "import arviz as az\n", - "import json\n", "import numpy as np\n", "import pandas\n", - "import pymc as pm\n", "from matplotlib import pyplot as plt\n", "from pathlib import Path" ] @@ -36,13 +37,6 @@ "parameters = [\"mean\", \"std\", \"area\", \"height\", \"alpha\", \"baseline_intercept\", \"baseline_slope\"]" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Prepare data in df_results" - ] - }, { "cell_type": "code", "execution_count": 5,