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@stijnvanhoey
Created May 17, 2017 13:12
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Quick example of basemap basic map for Belgium
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{
"cells": [
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from mpl_toolkits.basemap import Basemap\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline "
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"run_control": {
"frozen": false,
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x7ff6a48e66a0>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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moiA1atSgWbNm1KxZ02bu5g1tBxcvXuTGjRs5dpEtjCjnrjGyizNevHiRb775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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff6a462c9e8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# adapted BaseMap example original by geophysique.be\n",
"# tutorial 01\n",
"\n",
"fig = plt.figure(figsize=(6,4))\n",
"\n",
"#Custom adjust of the subplots\n",
"plt.subplots_adjust(left=0.05,right=0.95,top=0.90,bottom=0.05,wspace=0.15,hspace=0.05)\n",
"ax = plt.subplot(111)\n",
"\n",
"#Let's create a basemap around Netherlands & Belgium\n",
"m = Basemap(resolution='i', projection='merc', \n",
" llcrnrlat=49.3, urcrnrlat=51.7,\n",
" llcrnrlon=2., urcrnrlon=7.0,\n",
" lat_ts=51.0)\n",
"m.drawcountries(linewidth=0.5)\n",
"m.drawcoastlines(linewidth=0.5)\n",
" \n",
"m.drawparallels(np.arange(49.,54.,1.),labels=[1,0,0,0],color='black',dashes=[3,1],linewidth=0.2) # draw parallels\n",
"m.drawmeridians(np.arange(1.,9.,1.),labels=[0,0,0,1],color='black',dashes=[3,1],linewidth=0.2) # draw meridians\n",
"\n",
"plt.title('Belgium in Mercator Projection')"
]
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