chore(examples): Automatic commit of example files in Markdown and Ju…

…pyter Notebook format.

docs/jupyter_notebooks/e1_pull_DWD_historical_to_all_output_formats.ipynb

@@ -1,131 +1,4 @@
 {
-<<<<<<< HEAD
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": "# AixWeather Tutorial\n"
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": "Enable logging, this is just get more feedback through the terminal\n"
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "import logging\nlogging.basicConfig(level=\"DEBUG\")\n"
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": "Choose the project class according to the desired weather data origin.\nCheck the project classes file or the API documentation to see which classes are available.\n"
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "from aixweather.project_class import ProjectClassDWDHistorical\n"
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": "Step 0: Initiate the project class which contains or creates all variables and functions.\nFor this, we use the datetime module to specify dates.\n"
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "import datetime as dt\nDWD_pull_project = ProjectClassDWDHistorical(\n    start=dt.datetime(2022, 1, 1),\n    end=dt.datetime(2023, 1, 1),\n    station=15000,\n    # specify whether nan-values should be filled when exporting\n    fillna=True,\n    # define results path if desired\n    abs_result_folder_path=None,\n)\n"
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": "Step 1: Import historical weather from the DWD open access database\n"
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "DWD_pull_project.import_data()\nprint(\n    f\"\\nHow the imported data looks like:\\n{DWD_pull_project.imported_data.head()}\\n\"\n)\n"
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": "Step 2: Convert this imported data to the core format\n"
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "DWD_pull_project.data_2_core_data()\nprint(f\"\\nHow the core data looks like:\\n{DWD_pull_project.core_data.head()}\\n\")\n"
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": "you may also use data quality check utils, like:\n"
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "from aixweather.data_quality_checks import plot_heatmap_missing_values\n"
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": "plot data quality\n"
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "plot = plot_heatmap_missing_values(DWD_pull_project.core_data)\nplot.show()\n"
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": "Step 3: Convert this core data to an output data format of your choice\n"
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "DWD_pull_project.core_2_csv()\nDWD_pull_project.core_2_json()\nDWD_pull_project.core_2_pickle()\nDWD_pull_project.core_2_mos()\nDWD_pull_project.core_2_epw()\n"
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
-=======
     "cells": [
         {
             "cell_type": "markdown",
@@ -255,5 +128,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 2
-}
->>>>>>> origin/4-joss_paper
+}