107 lines (106 with data), 2.9 kB
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%pylab inline"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from IPython.display import display\n",
"\n",
"def gradient_func(val):\n",
" return '<span style=\"background: linear-gradient(90deg, #d65f5f {0}%, transparent 0%)\">{0:.3f}</span>'.format(val)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"summary = pd.read_table('cutadapt.txt', sep='\\t', index_col=0)\n",
"summary_reads = summary.loc[:, ['total_read_pairs', 'read1_with_adapters', 'read2_with_adapters', 'read_pairs_too_short', 'read_pairs_kept']]\n",
"display(summary_reads.style.set_caption('Read pairs summary'))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"percent_reads = 100.0*summary_reads.div(summary_reads['total_read_pairs'], axis=0)\n",
"percent_reads.drop(columns=['total_read_pairs'], inplace=True)\n",
"display(percent_reads.style.format(gradient_func).set_caption('Read pairs percentage'))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"summary_bp = summary.loc[:, ['total_bp', 'total_bp_read1', 'total_bp_read2',\n",
" 'bp_quality_trimmed', 'bp_quality_trimmed_read1', 'bp_quality_trimmed_read2',\n",
" 'bp_kept', 'bp_kept_read1', 'bp_kept_read2']]\n",
"display(summary_bp.style.set_caption('Base pairs summary'))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"percent_bp = 100.0*summary_bp.div(summary_bp['total_bp'], axis=0)\n",
"percent_bp.drop(columns=['total_bp'], inplace=True)\n",
"display(percent_bp.style.format(gradient_func).set_caption('Base pairs percentage'))"
]
}
],
"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": "3.7.6"
},
"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 2
}