{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you'd like to smooth out your jagged jagged lines in pandas, you'll want compute a **rolling average**. So instead of the original values, you'll have the average of 5 days (or hours, or years, or weeks, or months, or whatever)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Using `.rolling` in pandas to compute a rolling mean or median"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
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" SEP Y2015 Y2016 Y2017\n",
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},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv(\"pr-deaths.csv\")\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df.plot(x='SEP', ylim=(0, 150))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can use `df.rolling`, and then ask it for the `.mean()`. The code we're going to use is\n",
"\n",
"```python\n",
"df.rolling(3, on='SEP').mean()\n",
"```\n",
"\n",
"Let's break it down:\n",
"\n",
" * `5` means, we want to combine 5 values\n",
" * `on=` means **pay attention to the order of the `SEP` column**\n",
" * `.mean()` means we want to take the mean of those 5 values (you could also use `.median()` or `.max()` or anything else)\n",
"\n",
"So it will take every 5 values and take their mean. You'll see `NaN` for the first 4 days because we're requiring 5 values before we take the mean.\n",
"\n",
"Now let's see it in action:"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" \n",
" SEP \n",
" Y2015 \n",
" Y2016 \n",
" Y2017 \n",
" \n",
" \n",
" \n",
" \n",
" 0 \n",
" 1 \n",
" NaN \n",
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" 2 \n",
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" \n",
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" 3 \n",
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" \n",
" \n",
" 3 \n",
" 4 \n",
" NaN \n",
" NaN \n",
" NaN \n",
" \n",
" \n",
" 4 \n",
" 5 \n",
" 70.4 \n",
" 81.6 \n",
" 79.6 \n",
" \n",
" \n",
" 5 \n",
" 6 \n",
" 70.8 \n",
" 81.4 \n",
" 77.2 \n",
" \n",
" \n",
" 6 \n",
" 7 \n",
" 72.4 \n",
" 81.4 \n",
" 80.8 \n",
" \n",
" \n",
" 7 \n",
" 8 \n",
" 75.8 \n",
" 81.2 \n",
" 83.8 \n",
" \n",
" \n",
" 8 \n",
" 9 \n",
" 77.4 \n",
" 79.4 \n",
" 81.4 \n",
" \n",
" \n",
" 9 \n",
" 10 \n",
" 78.2 \n",
" 76.2 \n",
" 86.0 \n",
" \n",
" \n",
" 10 \n",
" 11 \n",
" 81.2 \n",
" 77.0 \n",
" 88.4 \n",
" \n",
" \n",
" 11 \n",
" 12 \n",
" 80.0 \n",
" 76.8 \n",
" 86.4 \n",
" \n",
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" 12 \n",
" 13 \n",
" 79.4 \n",
" 79.0 \n",
" 87.8 \n",
" \n",
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" 13 \n",
" 14 \n",
" 77.6 \n",
" 77.2 \n",
" 89.4 \n",
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" 14 \n",
" 15 \n",
" 81.8 \n",
" 80.8 \n",
" 86.4 \n",
" \n",
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" 15 \n",
" 16 \n",
" 77.4 \n",
" 79.4 \n",
" 83.4 \n",
" \n",
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" 16 \n",
" 17 \n",
" 75.6 \n",
" 79.8 \n",
" 85.0 \n",
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" 17 \n",
" 18 \n",
" 74.6 \n",
" 78.0 \n",
" 80.4 \n",
" \n",
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" 18 \n",
" 19 \n",
" 76.8 \n",
" 78.2 \n",
" 79.2 \n",
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" 19 \n",
" 20 \n",
" 73.2 \n",
" 75.8 \n",
" 82.6 \n",
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" 20 \n",
" 21 \n",
" 73.2 \n",
" 75.0 \n",
" 91.2 \n",
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" 21 \n",
" 22 \n",
" 72.8 \n",
" 80.8 \n",
" 96.2 \n",
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" 23 \n",
" 71.6 \n",
" 79.2 \n",
" 102.6 \n",
" \n",
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" 23 \n",
" 24 \n",
" 71.0 \n",
" 78.6 \n",
" 111.8 \n",
" \n",
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" 24 \n",
" 25 \n",
" 69.2 \n",
" 77.8 \n",
" 118.8 \n",
" \n",
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" 25 \n",
" 26 \n",
" 70.4 \n",
" 80.8 \n",
" 121.0 \n",
" \n",
" \n",
" 26 \n",
" 27 \n",
" 72.4 \n",
" 77.8 \n",
" 123.0 \n",
" \n",
" \n",
" 27 \n",
" 28 \n",
" 75.2 \n",
" 79.8 \n",
" 123.0 \n",
" \n",
" \n",
" 28 \n",
" 29 \n",
" 76.2 \n",
" 78.0 \n",
" 124.4 \n",
" \n",
" \n",
" 29 \n",
" 30 \n",
" 78.8 \n",
" 81.2 \n",
" 123.2 \n",
" \n",
" \n",
"
\n",
"
"
],
"text/plain": [
" SEP Y2015 Y2016 Y2017\n",
"0 1 NaN NaN NaN\n",
"1 2 NaN NaN NaN\n",
"2 3 NaN NaN NaN\n",
"3 4 NaN NaN NaN\n",
"4 5 70.4 81.6 79.6\n",
"5 6 70.8 81.4 77.2\n",
"6 7 72.4 81.4 80.8\n",
"7 8 75.8 81.2 83.8\n",
"8 9 77.4 79.4 81.4\n",
"9 10 78.2 76.2 86.0\n",
"10 11 81.2 77.0 88.4\n",
"11 12 80.0 76.8 86.4\n",
"12 13 79.4 79.0 87.8\n",
"13 14 77.6 77.2 89.4\n",
"14 15 81.8 80.8 86.4\n",
"15 16 77.4 79.4 83.4\n",
"16 17 75.6 79.8 85.0\n",
"17 18 74.6 78.0 80.4\n",
"18 19 76.8 78.2 79.2\n",
"19 20 73.2 75.8 82.6\n",
"20 21 73.2 75.0 91.2\n",
"21 22 72.8 80.8 96.2\n",
"22 23 71.6 79.2 102.6\n",
"23 24 71.0 78.6 111.8\n",
"24 25 69.2 77.8 118.8\n",
"25 26 70.4 80.8 121.0\n",
"26 27 72.4 77.8 123.0\n",
"27 28 75.2 79.8 123.0\n",
"28 29 76.2 78.0 124.4\n",
"29 30 78.8 81.2 123.2"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.rolling(5, on='SEP').mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Great! Maybe it's reasonable? Let's see how it looks graphed."
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df.rolling(5, on='SEP').mean().plot(x='SEP', ylim=(0, 150))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Using `plt.subplots` to plot two graphs next to each other\n",
"\n",
"Remember how we sometimes do `fig, ax = plt.subplots()` to create an empty graph? We can also use it (with some more options) to create _two_ empty graphs. They end up in the same image, and it allows us to plot them on top of or next to each other."
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(15, 5))\n",
"\n",
"ax1.set_title(\"Original data\")\n",
"df.plot(x='SEP', ylim=(0, 150), ax=ax1)\n",
"\n",
"ax2.set_title(\"Rolling 5-day mean\")\n",
"df.rolling(5, on='SEP').mean().plot(x='SEP', ylim=(0, 150), ax=ax2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}