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The code below is supposed to colour all the states of Vietnam:
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
fig, ax = plt.subplots(figsize=(10,20))
# create the map
map = Basemap(resolution='l', # c, l, i, h, f or None
projection='merc',
lat_0=15.95, lon_0=105.85,
llcrnrlon=102., llcrnrlat= 8.31, urcrnrlon=109.69, urcrnrlat=23.61)
# load the shapefile, use the name 'states'
map.readshapefile(r'path\to\gadm36_VNM_1', name='states', drawbounds=True)
# shapefile downloaded from http://www.gadm.org/
# collect the state names from the shapefile attributes so we can
# look up the shape obect for a state by it's name
state_names = []
for shape_dict in map.states_info:
state_names.append(shape_dict['VARNAME_1'])
ax = plt.gca() # get current axes instance
# NOR, CEN, SOU and MEK are some subdivisions I have created for the states of Vietnam
NOR = ['Lai Chau',
'Lao Cai',
'Ha Giang',
'Cao Bang',
'Dien Bien',
'Son La',
'Yen Bai',
'Tuyen Quang',
'Bac Kan',
'Lang Son',
'Thai Nguyen',
'Phu Tho',
'Vinh Phuc',
'Hoa Binh',
'Ha Noi',
'Bac Ninh',
'Hai Duong',
'Hung Yen',
'Ha Nam',
'Quang Ninh',
'Hai Phong',
'Thai Binh',
'Nam Dinh',
'Bac Giang',
'Ninh Binh']
CEN = ['Thanh Hoa',
'Nghe An',
'Ha Tinh',
'Quang Binh',
'Quang Tri',
'Thua Thien Hue',
'Da Nang']
SOU = ['Quang Nam',
'Kon Tum',
'Quang Ngai',
'Gia Lai',
'Binh Dinh',
'Dak Lak',
'Phu Yen',
'Khanh Hoa',
'Dak Nong',
'Lam Dong',
'Ninh Thuan']
MEK = ['Binh Phuoc',
'Dong Nai',
'Binh Thuan',
'Tay Ninh',
'Binh Duong',
'Dong Nai',
'Ba Ria - Vung Tau',
'Ho Chi Minh',
'Long An',
'An Giang',
'Dong Thap',
'Tien Giang',
'Kien Giang',
'Can Tho',
'Vinh Long',
'Ben Tre',
'Hau Giang',
'Tra Vinh',
'Soc Trang',
'Bac Lieu',
'Ca Mau']
# Define the colours to be used to colour the states
from matplotlib import cm
from numpy import linspace
start = 0.5
stop = 1.0
number_of_lines= 4
cm_subsection = linspace(start, stop, number_of_lines)
cm_subsection[0] = cm_subsection[0]*4
cm_subsection[1] = cm_subsection[1]*0.6
cm_subsection[2] = cm_subsection[2]*0.8
cm_subsection[3] = cm_subsection[3]*0.1
colors = [ cm.Blues(x) for x in cm_subsection ]
for state in NOR:
seg = map.states[state_names.index(state)]
poly = Polygon(seg, facecolor=colors[0], edgecolor=colors[0])
ax.add_patch(poly)
for state in CEN:
seg = map.states[state_names.index(state)]
poly = Polygon(seg, facecolor=colors[1], edgecolor=colors[1])
ax.add_patch(poly)
for state in SOU:
seg = map.states[state_names.index(state)]
poly = Polygon(seg, facecolor=colors[2], edgecolor=colors[2])
ax.add_patch(poly)
for state in MEK:
seg = map.states[state_names.index(state)]
poly = Polygon(seg, facecolor=colors[3], edgecolor=colors[3])
ax.add_patch(poly)
import matplotlib.patches as mpatches
NOR_patch = mpatches.Patch(color=colors[0], label='Rate: 34.85%')
CEN_patch = mpatches.Patch(color=colors[1], label='Rate: 25.61%')
SOU_patch = mpatches.Patch(color=colors[2], label='Rate: 32.66%')
MEK_patch = mpatches.Patch(color=colors[3], label='Rate: 20.02%')
plt.legend(handles=[NOR_patch, CEN_patch, SOU_patch, MEK_patch])
plt.show()
But this produces the map below, where some of the states are not coloured even though they are present in the state names and in the subdivisions:
In fact, if I try to colour a state whose name is not present in the lists, it throws an error:
MEK.append('ABCDE')
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-619-a89da62a0831> in <module>()
134
135 for state in MEK:
--> 136 seg = map.states[state_names.index(state)]
137 poly = Polygon(seg, facecolor=colors[3], edgecolor=colors[3])
138 ax.add_patch(poly)
ValueError: 'ABCDE' is not in list
So, clearly the states that are not colored are present in the list, as I'm not getting any error. So, what's going on?
EDIT: It just struck me that almost all the states that aren’t coloured share at least some part of their border with sea/ocean in the real world. The 6 exceptions are highlighted in red below:
Now that’s very interesting! Could it have anything to do with the issue? If yes, what? And why? And why do those 6 exceptions exist?
EDIT 2: I have also found similar results when plotting the map of Philippines:
The text was updated successfully, but these errors were encountered:
PrashantSaikia
changed the title
How to assign basemap shapes to provinces of a country in order to colour each province according to user-defined regions?
Why is matplotlib basemap not plotting the colours of some areas in my map?
Jun 19, 2018
most likely, the issue is that some of those polygons are closed and some of them are not. If they aren't closed, then they won't do a face color correctly.
I would also suggest using geopandas for this, or at the very least, use descarte for polygon making, as it will do it more correctly than what you have here. But, really, geopandas is probably exactly what you want to use.
The code below is supposed to colour all the states of Vietnam:
But this produces the map below, where some of the states are not coloured even though they are present in the state names and in the subdivisions:
In fact, if I try to colour a state whose name is not present in the lists, it throws an error:
So, clearly the states that are not colored are present in the list, as I'm not getting any error. So, what's going on?
EDIT: It just struck me that almost all the states that aren’t coloured share at least some part of their border with sea/ocean in the real world. The 6 exceptions are highlighted in red below:
Now that’s very interesting! Could it have anything to do with the issue? If yes, what? And why? And why do those 6 exceptions exist?
EDIT 2: I have also found similar results when plotting the map of Philippines:
The text was updated successfully, but these errors were encountered: