This notebook is to highlight how easy it is to display shapefiles in a jupyter notebook
import geopandas as gpd
gdf = gpd.read_file('.../RPA_hexagons.shp')
print (gdf)
CROMEID REFDATE LUCODE name \ 0 RPA484726101452 20171123 AC66 1 1 RPA484186098369 20171123 AC17 2 2 RPA478366099304 20171123 AC66 3 3 RPA481726097919 20171123 PG01 4 4 RPA482446100205 20171123 PG01 5 5 RPA482086099373 20171123 PG01 6 6 RPA479026098300 20171123 PG01 7 7 RPA483046101383 20171123 PG01 8 8 RPA482506099339 20171123 AC66 9 9 RPA479386097607 20171123 NA01 10 10 RPA480106100447 20171123 WO12 11 11 RPA480946098507 20171123 AC66 12 12 RPA484846101175 20171123 AC66 13 13 RPA480226099893 20171123 WO12 14 14 RPA477766097780 20171123 AC01 15 15 RPA483046096810 20171123 PG01 16 16 RPA477946097607 20171123 PG01 17 17 RPA481666101625 20171123 AC67 18 18 RPA479206100205 20171123 AC03 19 19 RPA479086097572 20171123 LG03 20 20 RPA482146097607 20171123 PG01 21 21 RPA480706101972 20171123 PG01 22 22 RPA479326099928 20171123 AC66 23 23 RPA477646098126 20171123 AC01 24 24 RPA481426100309 20171123 AC01 25 25 RPA478786098646 20171123 WO12 26 26 RPA479986100170 20171123 PG01 27 27 RPA483766098958 20171123 AC17 28 28 RPA479626097745 20171123 AC63 29 29 RPA479386099200 20171123 WO12 30 ... ... ... ... ... 8117 RPA483526101244 20171123 AC44 8118 8118 RPA482806100690 20171123 WO12 8119 8119 RPA482866097537 20171123 AC17 8120 8120 RPA480586100794 20171123 AC27 8121 8121 RPA484426100932 20171123 WO12 8122 8122 RPA480526100551 20171123 LG03 8123 8123 RPA484546099408 20171123 LG03 8124 8124 RPA482926101798 20171123 PG01 8125 8125 RPA479686098819 20171123 AC66 8126 8126 RPA479986098300 20171123 PG01 8127 8127 RPA481486097849 20171123 PG01 8128 8128 RPA481486099235 20171123 PG01 8129 8129 RPA482866101487 20171123 NA01 8130 8130 RPA477766097641 20171123 NA01 8131 8131 RPA483946101625 20171123 PG01 8132 8132 RPA479326101106 20171123 AC17 8133 8133 RPA479806099789 20171123 AC66 8134 8134 RPA481606097503 20171123 PG01 8135 8135 RPA482986100794 20171123 WO12 8136 8136 RPA481426098161 20171123 WO12 8137 8137 RPA481366097018 20171123 NA01 8138 8138 RPA483046099997 20171123 AC65 8139 8139 RPA478726097503 20171123 AC01 8140 8140 RPA483166100274 20171123 FA01 8141 8141 RPA480826098369 20171123 AC66 8142 8142 RPA481366097156 20171123 WO12 8143 8143 RPA478846097295 20171123 NA01 8144 8144 RPA481666101764 20171123 AC67 8145 8145 RPA479686100621 20171123 AC03 8146 8146 RPA484846097988 20171123 TC01 8147 geometry 0 POLYGON ((655102.7069389356 5630575.115807624,... 1 POLYGON ((654604.3879486 5627484.486516733, 65... 2 POLYGON ((648770.3225310852 5628410.402612799,... 3 POLYGON ((652150.2753111218 5627000.825681773,... 4 POLYGON ((652858.9270146162 5629331.984175636,... 5 POLYGON ((652490.6165434893 5628460.74632061, ... 6 POLYGON ((649444.904873959 5627345.37681831, 6... 7 POLYGON ((653423.5017500889 5630483.07862567, ... 8 POLYGON ((652911.1200482894 5628431.786879702,... 9 POLYGON ((649814.3070869881 5626657.37388213, ... 10 POLYGON ((650495.9231660233 5629507.902132113,... 11 POLYGON ((651362.243518027 5627579.217360455, ... 12 POLYGON ((655226.4688877971 5630299.583398947,... 13 POLYGON ((650623.4343037286 5628955.224783191,... 14 POLYGON ((648191.839994164 5626808.67133612, 6... 15 POLYGON ((653485.3828191966 5625910.085498325,... 16 POLYGON ((648374.196972942 5626637.890569176, ... 17 POLYGON ((652040.1051758965 5630706.909638424,... 18 POLYGON ((649618.6676750828 5629288.131421645,... 19 POLYGON ((649514.7525405248 5626618.671572273,... 20 POLYGON ((652574.5281747868 5626694.717336406,... 21 POLYGON ((651075.3384015957 5631040.347699216,... 22 POLYGON ((649722.8950781652 5628977.687357037,... 23 POLYGON ((648067.1438295111 5627153.487561466,... 24 POLYGON ((651776.9631129148 5629455.94011945, ... 25 POLYGON ((649200.1989036256 5627688.569839598,... 26 POLYGON ((650379.6645753465 5629229.131157499,... 27 POLYGON ((654176.3828486223 5628067.75173317, ... 28 POLYGON ((650071.983859909 5626834.10845309, 6... 29 POLYGON ((649792.7448353325 5628250.981992862,... ... ... 8117 POLYGON ((653905.417855708 5630351.00224922, 6... 8118 POLYGON ((653192.8599379412 5629786.951810867,... 8119 POLYGON ((653295.5254170129 5626635.172201923,... 8120 POLYGON ((650971.2722981849 5629860.840546262,... 8121 POLYGON ((654809.7149308852 5630051.392689548,... 8122 POLYGON ((650914.5497873464 5629617.516939123,... 8123 POLYGON ((654950.3553159594 5628528.682302361,... 8124 POLYGON ((653297.8643194558 5630897.184311542,... 8125 POLYGON ((650117.4575358517 5627908.879252974,... 8126 POLYGON ((650404.9796294608 5627358.366905879,... 8127 POLYGON ((651911.1931707291 5626928.291446742,... 8128 POLYGON ((651911.9756357463 5628348.958720988,... 8129 POLYGON ((653242.079800875 5630584.580447236, ... 8130 POLYGON ((648193.7147724432 5626670.098360197,... 8131 POLYGON ((654280.2917554963 5630737.233293616,... 8132 POLYGON ((649706.9534052582 5630155.575285839,... 8133 POLYGON ((650204.8077615334 5628845.610312893,... 8134 POLYGON ((652035.8899643586 5626583.480688744,... 8135 POLYGON ((653371.4682045095 5629893.326541094,... 8136 POLYGON ((651846.9696955733 5627239.278319384,... 8137 POLYGON ((651802.4320172141 5626095.217506003,... 8138 POLYGON ((653461.7901560719 5629132.243911067,... 8139 POLYGON ((649155.6622334684 5626544.514255125,... 8140 POLYGON ((653498.0426676901 5629409.933557474,... 8141 POLYGON ((651244.1088708208 5627439.02004139, ... 8142 POLYGON ((651800.5573536189 5626233.791152189,... 8143 POLYGON ((649278.4835062125 5626338.278086607,... 8144 POLYGON ((652038.2294014232 5630845.483508008,... 8145 POLYGON ((650073.5459041351 5629675.433903837,... 8146 POLYGON ((655269.6012132881 5627112.337542046,... [8147 rows x 5 columns]
%matplotlib inline
gdf.plot()
<matplotlib.axes._subplots.AxesSubplot at 0x2d1c1c1c2b0>
gdf.plot(column='LUCODE', cmap=None)
<matplotlib.axes._subplots.AxesSubplot at 0x2d1c1c5a940>
gdf.plot(column='LUCODE', cmap=None, legend=True)
<matplotlib.axes._subplots.AxesSubplot at 0x26483c1fa20>
gdf.plot(column='LUCODE', cmap=None, legend=True, figsize=(20, 20))
<matplotlib.axes._subplots.AxesSubplot at 0x2d1c1c18e80>
gdf2 = gpd.read_file('.../Boundaries.shp')
print (gdf2)
id geometry 0 1 POLYGON ((649931.3024533518 5627612.103538599,... 1 2 POLYGON ((648877.9019365725 5627173.186656608,... 2 3 POLYGON ((649632.8389735976 5628624.53847973, ... 3 4 POLYGON ((648494.5811929664 5628255.848298855,... 4 5 POLYGON ((652080.5321188368 5626841.07288257, ... 5 6 POLYGON ((653670.1427597826 5627244.144885865,... 6 7 POLYGON ((651816.4504615052 5628797.910648116,... 7 8 POLYGON ((653292.6742412697 5630508.223431613,... 8 9 POLYGON ((655133.1990330869 5629617.222161168,... 9 10 POLYGON ((648972.2690662008 5630316.563059808,...
import matplotlib.pyplot as plt
f, ax = plt.subplots(1)
gdf.plot(ax=ax)
gdf2.plot(ax=ax,column='id',cmap=None,)
plt.show()
print (f)
Figure(432x288)
print (ax)
AxesSubplot(0.125,0.125;0.775x0.755)