Skip to content

Instantly share code, notes, and snippets.

@jdt1
Last active July 12, 2018 09:16
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save jdt1/db8dae07c6a9ed1f4d483cdab0f1c88d to your computer and use it in GitHub Desktop.
Save jdt1/db8dae07c6a9ed1f4d483cdab0f1c88d to your computer and use it in GitHub Desktop.
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import os\n",
"import re\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"cwd = os.getcwd()\n",
"raw_files = [file for file in os.listdir(cwd) if '.mp3' in file]\n",
"mp3s = sorted(raw_files, key=lambda x: os.path.getmtime(x))\n",
"filesizes = [os.path.getsize(mp3)/1000 for mp3 in mp3s]"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAbUAAAEmCAYAAADlWA4wAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1c6649d6550>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.subplots(subplot_kw=dict(facecolor='#EEEEEE'))\n",
"plt.grid(color='white')\n",
"plt.tight_layout()\n",
"plt.plot(filesizes)\n",
"plt.ylabel('File size [kB]')\n",
"plt.xlabel('Times compressed [#]')\n",
"plt.show()"
]
}
],
"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": "3.6.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment