{ "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": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | iRFP | \n", "mNG | \n", "sample | \n", "order | \n", "iRFP/mNG | \n", "
---|---|---|---|---|---|
98 | \n", "30.096 | \n", "8999.840 | \n", "SK409-DMSO-2 | \n", "1 | \n", "0.003344 | \n", "
70 | \n", "31.609 | \n", "8914.455 | \n", "SK409-DMSO-2 | \n", "1 | \n", "0.003546 | \n", "
69 | \n", "29.218 | \n", "8052.519 | \n", "SK409-DMSO-2 | \n", "1 | \n", "0.003628 | \n", "
68 | \n", "24.526 | \n", "9211.628 | \n", "SK409-DMSO-2 | \n", "1 | \n", "0.002663 | \n", "
67 | \n", "30.801 | \n", "9132.923 | \n", "SK409-DMSO-2 | \n", "1 | \n", "0.003373 | \n", "
... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "
128 | \n", "2261.083 | \n", "5699.186 | \n", "SK410-1 | \n", "5 | \n", "0.396738 | \n", "
127 | \n", "3190.231 | \n", "6824.109 | \n", "SK410-1 | \n", "5 | \n", "0.467494 | \n", "
126 | \n", "2848.353 | \n", "6246.647 | \n", "SK410-1 | \n", "5 | \n", "0.455981 | \n", "
136 | \n", "3504.955 | \n", "8381.609 | \n", "SK410-1 | \n", "5 | \n", "0.418172 | \n", "
124 | \n", "2994.622 | \n", "6803.224 | \n", "SK410-1 | \n", "5 | \n", "0.440177 | \n", "
250 rows × 5 columns
\n", "