diff --git a/baybe-inhibitor.ipynb b/baybe-inhibitor.ipynb index 23329e4..2a932e6 100644 --- a/baybe-inhibitor.ipynb +++ b/baybe-inhibitor.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -11,29 +11,44 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "df_AA2024 = pd.read_excel('data/filtered_AA2024.xlsx')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "/home/vscode/.local/lib/python3.10/site-packages/baybe/telemetry.py:222: UserWarning: WARNING: BayBE Telemetry endpoint https://public.telemetry.baybe.p.uptimize.merckgroup.com:4317 cannot be reached. Disabling telemetry. The exception encountered was: ConnectionError, HTTPConnectionPool(host='verkehrsnachrichten.merck.de', port=80): Max retries exceeded with url: / (Caused by NameResolutionError(\": Failed to resolve 'verkehrsnachrichten.merck.de' ([Errno -2] Name or service not known)\"))\n", - " warnings.warn(\n", - "/home/vscode/.local/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" + " Time_h pH Inhib_Concentrat_M Efficiency\n", + "count 611.000000 611.000000 611.000000 611.000000\n", + "mean 135.801964 6.342062 0.006808 26.736841\n", + "std 201.683867 2.529080 0.014059 288.788317\n", + "min 0.500000 0.000000 0.000010 -4834.000000\n", + "25% 24.000000 4.000000 0.000500 30.000000\n", + "50% 24.000000 7.000000 0.001000 58.000000\n", + "75% 144.000000 7.000000 0.003000 87.950000\n", + "max 672.000000 10.000000 0.100000 100.000000\n" ] } ], "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "from baybe import Campaign" + "print(df_AA2024.describe())" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [