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Making a wind rose in pandas/matplotlib
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Making a wind rose with pandas/matplotlib\n",
"## Import the libraries and other setup"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy\n",
"import pandas\n",
"from matplotlib import pyplot\n",
"import seaborn\n",
"\n",
"import metar\n",
"\n",
"seaborn.set_style('ticks')\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load the data"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Sta</th>\n",
" <th>Precip</th>\n",
" <th>Temp</th>\n",
" <th>DewPnt</th>\n",
" <th>WindSpd</th>\n",
" <th>WindDir</th>\n",
" <th>AtmPress</th>\n",
" <th>SkyCover</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2012-01-01 00:00:00</th>\n",
" <td>KPDX</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>310</td>\n",
" <td>30.26</td>\n",
" <td>1.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-01 00:05:00</th>\n",
" <td>KPDX</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>330</td>\n",
" <td>30.26</td>\n",
" <td>1.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-01 00:10:00</th>\n",
" <td>KPDX</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>340</td>\n",
" <td>30.26</td>\n",
" <td>1.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-01 00:15:00</th>\n",
" <td>KPDX</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>30.26</td>\n",
" <td>1.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-01 00:20:00</th>\n",
" <td>KPDX</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>30.25</td>\n",
" <td>1.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-01 00:25:00</th>\n",
" <td>KPDX</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>30.25</td>\n",
" <td>0.75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-01 00:30:00</th>\n",
" <td>KPDX</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>30.25</td>\n",
" <td>0.75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-01-01 00:35:00</th>\n",
" <td>KPDX</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>30.25</td>\n",
" <td>0.75</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Sta Precip Temp DewPnt WindSpd WindDir AtmPress \\\n",
"Date \n",
"2012-01-01 00:00:00 KPDX 0 4 2 5 310 30.26 \n",
"2012-01-01 00:05:00 KPDX 0 4 2 3 330 30.26 \n",
"2012-01-01 00:10:00 KPDX 0 5 2 3 340 30.26 \n",
"2012-01-01 00:15:00 KPDX 0 5 2 0 0 30.26 \n",
"2012-01-01 00:20:00 KPDX 0 5 2 0 0 30.25 \n",
"2012-01-01 00:25:00 KPDX 0 5 2 0 0 30.25 \n",
"2012-01-01 00:30:00 KPDX 0 5 2 0 0 30.25 \n",
"2012-01-01 00:35:00 KPDX 0 5 2 0 0 30.25 \n",
"\n",
" SkyCover \n",
"Date \n",
"2012-01-01 00:00:00 1.00 \n",
"2012-01-01 00:05:00 1.00 \n",
"2012-01-01 00:10:00 1.00 \n",
"2012-01-01 00:15:00 1.00 \n",
"2012-01-01 00:20:00 1.00 \n",
"2012-01-01 00:25:00 0.75 \n",
"2012-01-01 00:30:00 0.75 \n",
"2012-01-01 00:35:00 0.75 "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sta = metar.WeatherStation('KPDX')\n",
"\n",
"windcols = ['WindSpd', 'WindDir']\n",
"\n",
"sta.getASOSData('2012-01-01', '2015-01-01', filename='wrdemo.csv')\n",
"kpdx = sta.loadCompiledFile('asos', filenum=1).dropna(subset=windcols)\n",
"\n",
"kpdx.head(8)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Determine the total number of observations and how many have calm conditions"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Of 286278 total observations, 55174 have calm winds.\n"
]
}
],
"source": [
"total_count = kpdx.shape[0]\n",
"calm_count = kpdx.query(\"WindSpd == 0\").shape[0]\n",
"\n",
"print('Of {} total observations, {} have calm winds.'.format(total_count, calm_count))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Define a function that will give us nice labels for a wind speed range\n",
"E.g., *5 - 10 knots*"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def speed_labels(bins, units): \n",
" labels = []\n",
" for left, right in zip(bins[:-1], bins[1:]):\n",
" if left == bins[0]:\n",
" labels.append('calm'.format(right))\n",
" elif numpy.isinf(right):\n",
" labels.append('>{} {}'.format(left, units))\n",
" else:\n",
" labels.append('{} - {} {}'.format(left, right, units))\n",
"\n",
" return list(labels)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define a function to convert centered angles to left-edge radians"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def _convert_dir(directions, N=None):\n",
" if N is None:\n",
" N = directions.shape[0]\n",
" barDir = directions * numpy.pi/180. - numpy.pi/N\n",
" barWidth = 2 * numpy.pi / N\n",
" return barDir, barWidth"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define our bins and labels for speed and wind"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"spd_bins = [-1, 0, 5, 10, 15, 20, 25, 30, numpy.inf]\n",
"spd_labels = speed_labels(spd_bins, units='knots')\n",
"\n",
"dir_bins = numpy.arange(-7.5, 370, 15)\n",
"dir_labels = (dir_bins[:-1] + dir_bins[1:]) / 2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Determine the relative percentage of observation in each speed and direction bin\n",
"Here's how we do it:\n",
" - assign a speed bin for each row with `pandas.cut`\n",
" - assign a direction bin for each row (again, `pandas.cut`)\n",
" - unify the 360° and 0° bins under the 0° label\n",
" - group the data simultaneously on both speed and direction bins\n",
" - compute the size of each group\n",
" - unstack (pivot) the speed bins into columns\n",
" - fill missing values with 0\n",
" - assign a \"calm\" column to be the total number of calm observations evenly distributed across all directions\n",
" - sort the columns -- they are a catgerical index, so \"calm\" will be first (this is awesome!)\n",
" - convert all of the counts to percentages of the total number of observations"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"rose = (\n",
" kpdx.assign(WindSpd_bins=lambda df:\n",
" pandas.cut(df['WindSpd'], bins=spd_bins, labels=spd_labels, right=True)\n",
" )\n",
" .assign(WindDir_bins=lambda df:\n",
" pandas.cut(df['WindDir'], bins=dir_bins, labels=dir_labels, right=False)\n",
" )\n",
" .replace({'WindDir_bins': {360: 0}})\n",
" .groupby(by=['WindSpd_bins', 'WindDir_bins'])\n",
" .size()\n",
" .unstack(level='WindSpd_bins')\n",
" .fillna(0)\n",
" .assign(calm=lambda df: calm_count / df.shape[0])\n",
" .sort_index(axis=1)\n",
" .applymap(lambda x: x / total_count * 100)\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Define our wind rose function"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def wind_rose(rosedata, wind_dirs, palette=None):\n",
" if palette is None:\n",
" palette = seaborn.color_palette('inferno', n_colors=rosedata.shape[1])\n",
"\n",
" bar_dir, bar_width = _convert_dir(wind_dirs)\n",
"\n",
" fig, ax = pyplot.subplots(figsize=(10, 10), subplot_kw=dict(polar=True))\n",
" ax.set_theta_direction('clockwise')\n",
" ax.set_theta_zero_location('N')\n",
"\n",
" for n, (c1, c2) in enumerate(zip(rosedata.columns[:-1], rosedata.columns[1:])):\n",
" if n == 0:\n",
" # first column only\n",
" ax.bar(bar_dir, rosedata[c1].values, \n",
" width=bar_width,\n",
" color=palette[0],\n",
" edgecolor='none',\n",
" label=c1,\n",
" linewidth=0)\n",
"\n",
" # all other columns\n",
" ax.bar(bar_dir, rosedata[c2].values, \n",
" width=bar_width, \n",
" bottom=rosedata.cumsum(axis=1)[c1].values,\n",
" color=palette[n+1],\n",
" edgecolor='none',\n",
" label=c2,\n",
" linewidth=0)\n",
"\n",
" leg = ax.legend(loc=(0.75, 0.95), ncol=2)\n",
" xtl = ax.set_xticklabels(['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW'])\n",
" \n",
" return fig"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Use it"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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1v/jiC8vr9T4Zj8dvNcYsS3VtSqmv06Cp1DdInpIaHwqFbo7FYgOOP/54Lr74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\naKHyAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0xd877e3dd68>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"directions = numpy.arange(0, 360, 15)\n",
"fig = wind_rose(rose, directions)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"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": "3.5.1"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
@r-melo
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r-melo commented Apr 22, 2018

I ran across an issue. If my data don't have wind information in a specific direction the dataframe 'rose' ends with an incorrect number of rows, without any information for the missing directions. In order to plot it correctly you need rows for these directions filled with zeroes. I solved with this little code right after creating the 'rose' dataframe:

directions = np.arange(0, 360, 15)
for i in directions:
    if i not in rose.index:
        rose = rose.reindex(rose.index.values.tolist()+[i])

rose = rose.sort_index().fillna(0)

@Matthias84
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Hi thanks for this great example! I try to plot my weewx data, which is pretty similar table.

But plotting the rose throws an exception which I don't understand

ValueError: shape mismatch: objects cannot be broadcast to a single shape
...
ax.bar(bar_dir, rosedata[c1].values,
width=bar_width,
color=palette[0],
edgecolor='none',
label=c1,
linewidth=0)

Because I don't understand this part well enough, could you point me, if this rose object looks ok for you?

<class 'pandas.core.frame.DataFrame'>
CategoricalIndex: 25 entries, 0.0 to 360.0
Data columns (total 8 columns):
 #   Column       Non-Null Count  Dtype  
---  ------       --------------  -----  
 0   calm         25 non-null     float64
 1   0 - 5 m/s    25 non-null     float64
 2   5 - 10 m/s   25 non-null     float64
 3   10 - 15 m/s  25 non-null     float64
 4   15 - 20 m/s  25 non-null     float64
 5   20 - 25 m/s  25 non-null     float64
 6   25 - 30 m/s  25 non-null     float64
 7   >30 m/s      25 non-null     float64
dtypes: float64(8)
memory usage: 2.4 KB

@phobson
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Author

phobson commented Feb 29, 2020

@Matthias84 -- that's not enough info for me to provide manful advice. I recommend you look at cloudside, where I put all of this into a single function

@BDJensen
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I'm getting:
sta = metar.WeatherStation('KPDX')
AttributeError: module 'metar' has no attribute 'WeatherStation'
..?

@phobson
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Author

phobson commented Jun 14, 2021

I'm getting:
sta = metar.WeatherStation('KPDX')
AttributeError: module 'metar' has no attribute 'WeatherStation'
..?

@BDJensen -- checkout https://github.com/geosyntec/cloudside -- that's where all of this stuff lives now. More to the point, the purpose of that section of code was to download the data. You can skip it and get the data anyway you want.

@ElenaTerzic
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Great code, thanks a lot!

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