{ "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", "plt.rcParams['pdf.fonttype'] = 42" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | Image | \n", "RFP | \n", "FRET | \n", "CFP | \n", "FRET/CFP | \n", "
---|---|---|---|---|---|
0 | \n", "0 | \n", "74.150442 | \n", "977.707965 | \n", "632.274336 | \n", "1.546335 | \n", "
1 | \n", "0 | \n", "84.152000 | \n", "633.072000 | \n", "410.168000 | \n", "1.543446 | \n", "
2 | \n", "0 | \n", "245.468750 | \n", "781.712500 | \n", "525.125000 | \n", "1.488622 | \n", "
3 | \n", "0 | \n", "94.235294 | \n", "645.313725 | \n", "431.411765 | \n", "1.495819 | \n", "
4 | \n", "0 | \n", "813.597633 | \n", "992.266272 | \n", "621.644970 | \n", "1.596194 | \n", "
... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "
1526 | \n", "7 | \n", "124.006579 | \n", "639.855263 | \n", "440.802632 | \n", "1.451569 | \n", "
1527 | \n", "7 | \n", "64.523490 | \n", "698.785235 | \n", "471.429530 | \n", "1.482269 | \n", "
1528 | \n", "7 | \n", "67.811475 | \n", "639.844262 | \n", "438.713115 | \n", "1.458457 | \n", "
1529 | \n", "7 | \n", "175.800000 | \n", "599.873684 | \n", "385.694737 | \n", "1.555307 | \n", "
1530 | \n", "7 | \n", "60.844262 | \n", "658.049180 | \n", "451.081967 | \n", "1.458824 | \n", "
1531 rows × 5 columns
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