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bmtgoncalvesbmtgoncalves
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added style sheet discussion
1 parent 17b4024 commit 1e6f126

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‎Part I - Matplotlib.ipynb renamed to ‎1. Matplotlib.ipynb

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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Wed Sep 25 2019 \n",
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"watermark 1.8.1\n",
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"matplotlib 3.1.0\n",
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"numpy 1.16.2\n",
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"pandas 0.24.2\n",
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"Sun Dec 01 2019 \n",
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"\n",
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"CPython 3.7.3\n",
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"IPython 6.2.1\n",
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"\n",
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"numpy 1.16.2\n",
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"matplotlib 3.1.0\n",
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"pandas 0.24.2\n",
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"\n",
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"compiler : Clang 4.0.1 (tags/RELEASE_401/final)\n",
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"system : Darwin\n",
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"release : 18.7.0\n",
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"release : 19.0.0\n",
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"machine : x86_64\n",
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"processor : i386\n",
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"CPU cores : 8\n",
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"interpreter: 64bit\n"
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"interpreter: 64bit\n",
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"Git hash : 17b4024f04091f8fdc1ee8a8e6705838976550c3\n"
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]
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}
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],
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"source": [
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"%watermark -n -v -m -p numpy,matplotlib,pandas"
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"%watermark -n -v -m -g -iv"
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]
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},
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{
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{
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"data": {
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"text/plain": [
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"[<matplotlib.lines.Line2D at 0x11d7d7ba8>]"
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"[<matplotlib.lines.Line2D at 0x11f38b0b8>]"
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{
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"data": {
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"[<matplotlib.lines.Line2D at 0x11da92cf8>]"
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"[<matplotlib.lines.Line2D at 0x11f64a128>]"
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{
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"data": {
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"text/plain": [
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"<matplotlib.legend.Legend at 0x11dae4780>"
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"<matplotlib.legend.Legend at 0x11f690438>"
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"data": {
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"<matplotlib.legend.Legend at 0x11de03860>"
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"<matplotlib.legend.Legend at 0x11f86ec88>"
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{
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"data": {
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"text/plain": [
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"<matplotlib.axes._subplots.AxesSubplot at 0x11fea4048>"
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"<matplotlib.axes._subplots.AxesSubplot at 0x121a5a828>"
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{
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"data": {
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"text/plain": [
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"<matplotlib.legend.Legend at 0x120217d68>"
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"<matplotlib.legend.Legend at 0x121dbe390>"
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{
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"data": {
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"text/plain": [
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"<matplotlib.legend.Legend at 0x11da226d8>"
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"<matplotlib.legend.Legend at 0x1220e4860>"
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{
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"data": {
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"text/plain": [
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"<matplotlib.legend.Legend at 0x12085fc50>"
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"<matplotlib.legend.Legend at 0x122416128>"
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"execution_count": 18,
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"We'll plot these three datasets using both bar and pie plots. "
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"We'll plot these three datasets using both bar and pie plots. As we want to make sure we use the same colors for the corresponding bar/slice, we start by explicitly obtaining the color cycle"
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [],
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"source": [
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"colors = plt.rcParams['axes.prop_cycle'].by_key()['color']"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Now we can supply the right color sequence to use for the bars"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"data": {
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"(0, 25)"
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"execution_count": 21,
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"metadata": {},
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}
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],
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"source": [
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"prop_cycle = plt.rcParams['axes.prop_cycle']\n",
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"colors = prop_cycle.by_key()['color']\n",
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"\n",
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"fig, axs = plt.subplots(nrows=2, ncols=3)\n",
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"fig.set_size_inches(14,10)\n",
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"\n",
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"<BarContainer object of 1 artists>"
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"4 Burkina Faso 1217.032994 14326203 52.295 0"
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