{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "from matplotlib import pyplot as plt\n", "import seaborn as sns\n", "import glob" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "flist = glob.glob('quantification/*.csv')" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | GPCR | \n", "Norm | \n", "
---|---|---|
\n", " | \n", " | \n", " |
1 | \n", "DRD1 | \n", "1.032898 | \n", "
2 | \n", "DRD1 | \n", "0.146188 | \n", "
3 | \n", "DRD1 | \n", "0.443736 | \n", "
4 | \n", "DRD1 | \n", "0.049814 | \n", "
5 | \n", "DRD1 | \n", "0.042326 | \n", "
... | \n", "... | \n", "... | \n", "
46 | \n", "HTR7 | \n", "7.139093 | \n", "
47 | \n", "HTR7 | \n", "2.668146 | \n", "
48 | \n", "HTR7 | \n", "3.358057 | \n", "
49 | \n", "HTR7 | \n", "3.454784 | \n", "
50 | \n", "HTR7 | \n", "2.330956 | \n", "
694 rows × 2 columns
\n", "