Versucht, eine Colormap in Python zu plotten

Question

Also ich versuche, eine Colormap in Python zu plotten, nicht wirklich sicher, wie man es macht. An dieser Stelle ist es mir egal, welche Farben verwendet werden, ich möchte nur, dass sie in einem 10x10-Raster sind. Ich habe mit Matplotlib.pyplot.hist2d herumgespielt, aber ich bin nicht genug vertraut mit den Argumenten oder Plotten im Allgemeinen, um es zum Laufen zu bringen.

Dies ist, was ich will es aussehen: http://i.stack.imgur.com/zKEFm.png

Jede Hilfe wäre sehr dankbar!

Hier sind meine Werte:

x = [1000,0, 1500,0, 2000,0, 2500,0, 3000,0, 3500,0, 4000,0, 4500,0, 5000,0, 5500,0]

y = [50,0, 100,0, 150,0, 200,0 , 250,0, 300,0, 350,0, 400,0, 450,0, 500,0]

z = [[4881,8642105816871, 10911,715059458633, 14155,013920191856, 15.445,716752715813, 16.013,555045427016, 15930,210275343226, 14.914,871694262614, 13.066,110673589264, 10759,038539701312, 8463,0016244336093], [1974,871155086661, 1145,8564488717275, 360,21552184520687, 93,26083185814899 , 21.427562046024793, 7.0515082675648033, 8.94905 23628452756, 14,879083651382828, 21,096831336382142, 26,546911264223507], [1634,3004731594849, 596,47348127936391, 112,49120675840454, 15,812850921622774, 4,0543288410416025, 9,0618094371920641, 16,389066614461047, 22,915048528916472, 28,13970763744614, 32,19301414581065], [1986,732401772239, 799,55302793978888, 160,97797226074397, 24,950029150759416, 2,9740612607771544, 5,1831654930427353, 11,868454452741116, 18,423909277895582, 23,871268732800026, 28,176932672588872], [2601,7028764095298, 1395,8441541583775, 350,7791306410262, 76,264494509924447, 12,917045956205232, 2,0917899539090037, 4,7536763606740866, 10,386333025075864, 15,994635925645284, 20,802037330766186], [3293,2621749740892, 2468,8337536368813, 794,89657520857122, 231,80120180328421, 69,115519256908826, 22,56546362231742, 11,68385698697284, 12,181871134288121, 16,036344120838468, 20,480043889445149], [3946,9123317902149, 4077,9829695428052, 1678,9233197571568, 607,05248741635501, 240,16635849955915, 112,17393601200131, 66. 792078445172521, 51,930124965393659, 48,76103688333918, 50,00623950373992], [4502,107788994359, 6161,1060688041271, 3218,1802555799272, 1379,0348763810446, 640,22321406877404, 349,14793361033742, 228,99173439562361, 178,00469532465459, 156,84445929086453, 148,55111237018477], [4948,2311747056465, 8553,3089397606091, 5603,5794468290587, 2781,2587849125666, 1439,9934016139214, 853,84661084199092, 589,64424718785426, 466,19185775513267, 405,81332964558175, 375,96900504309684], [5292,3370996081712, 11038,242790006936, 8921,6574107649831, 5087,0863086276313, 2867,5539374519794, 1796,784239152586, 1281,1061782196334, 1023,8418898637763, 890,53738452759285, 817,7523115877392]]

Answer 1

x = [1000.0, 1500.0, 2000.0, 2500.0, 3000.0, 3500.0, 4000.0, 4500.0, 5000.0, 5500.0] 

y = [50.0, 100.0, 150.0, 200.0, 250.0, 300.0, 350.0, 400.0, 450.0, 500.0] 

z = [[4881.8642105816871, 10911.715059458633, 14155.013920191856, 15445.716752715813, 16013.555045427016, 15930.210275343226, 14914.871694262614, 13066.110673589264, 10759.038539701312, 8463.0016244336093], [1974.871155086661, 1145.8564488717275, 360.21552184520687, 93.26083185814899, 21.427562046024793, 7.0515082675648033, 8.9490523628452756, 14.879083651382828, 21.096831336382142, 26.546911264223507], [1634.3004731594849, 596.47348127936391, 112.49120675840454, 15.812850921622774, 4.0543288410416025, 9.0618094371920641, 16.389066614461047, 22.915048528916472, 28.13970763744614, 32.19301414581065], [1986.732401772239, 799.55302793978888, 160.97797226074397, 24.950029150759416, 2.9740612607771544, 5.1831654930427353, 11.868454452741116, 18.423909277895582, 23.871268732800026, 28.176932672588872], [2601.7028764095298, 1395.8441541583775, 350.7791306410262, 76.264494509924447, 12.917045956205232, 2.0917899539090037, 4.7536763606740866, 10.386333025075864, 15.994635925645284, 20.802037330766186], [3293.2621749740892, 2468.8337536368813, 794.89657520857122, 231.80120180328421, 69.115519256908826, 22.56546362231742, 11.68385698697284, 12.181871134288121, 16.036344120838468, 20.480043889445149], [3946.9123317902149, 4077.9829695428052, 1678.9233197571568, 607.05248741635501, 240.16635849955915, 112.17393601200131, 66.792078445172521, 51.930124965393659, 48.76103688333918, 50.00623950373992], [4502.107788994359, 6161.1060688041271, 3218.1802555799272, 1379.0348763810446, 640.22321406877404, 349.14793361033742, 228.99173439562361, 178.00469532465459, 156.84445929086453, 148.55111237018477], [4948.2311747056465, 8553.3089397606091, 5603.5794468290587, 2781.2587849125666, 1439.9934016139214, 853.84661084199092, 589.64424718785426, 466.19185775513267, 405.81332964558175, 375.96900504309684], [5292.3370996081712, 11038.242790006936, 8921.6574107649831, 5087.0863086276313, 2867.5539374519794, 1796.784239152586, 1281.1061782196334, 1023.8418898637763, 890.53738452759285, 817.7523115877392]] 

import numpy as np 
import matplotlib.pyplot as p 
%matplotlib inline 
p.imshow(z,interpolation='none',cmap=p.cm.jet,origin='lower') 
# many other colormaps can be seen here: http://matplotlib.org/examples/color/colormaps_reference.html 
p.colorbar() 

Beachten Sie, dass der Befehl inline nur für Ipython benötigt wird. Außerhalb von Ipython benötigen Sie möglicherweise eine p.show().

Answer 2

roadrunner66 hat die Antwort gegeben, vielleicht kann ich mit dem Matplotlib-Teil etwas genauer sein.

denke ich, dass es besser ist zu Skript dieser Teil wie folgt aus:

x = [1000.0, 1500.0, 2000.0, 2500.0, 3000.0, 3500.0, 4000.0, 4500.0, 5000.0, 5500.0] 

y = [50.0, 100.0, 150.0, 200.0, 250.0, 300.0, 350.0, 400.0, 450.0, 500.0] 

z = [[4881.8642105816871, 10911.715059458633, 14155.013920191856, 15445.716752715813, 16013.555045427016, 15930.210275343226, 14914.871694262614, 13066.110673589264, 10759.038539701312, 8463.0016244336093], [1974.871155086661, 1145.8564488717275, 360.21552184520687, 93.26083185814899, 21.427562046024793, 7.0515082675648033, 8.9490523628452756, 14.879083651382828, 21.096831336382142, 26.546911264223507], [1634.3004731594849, 596.47348127936391, 112.49120675840454, 15.812850921622774, 4.0543288410416025, 9.0618094371920641, 16.389066614461047, 22.915048528916472, 28.13970763744614, 32.19301414581065], [1986.732401772239, 799.55302793978888, 160.97797226074397, 24.950029150759416, 2.9740612607771544, 5.1831654930427353, 11.868454452741116, 18.423909277895582, 23.871268732800026, 28.176932672588872], [2601.7028764095298, 1395.8441541583775, 350.7791306410262, 76.264494509924447, 12.917045956205232, 2.0917899539090037, 4.7536763606740866, 10.386333025075864, 15.994635925645284, 20.802037330766186], [3293.2621749740892, 2468.8337536368813, 794.89657520857122, 231.80120180328421, 69.115519256908826, 22.56546362231742, 11.68385698697284, 12.181871134288121, 16.036344120838468, 20.480043889445149], [3946.9123317902149, 4077.9829695428052, 1678.9233197571568, 607.05248741635501, 240.16635849955915, 112.17393601200131, 66.792078445172521, 51.930124965393659, 48.76103688333918, 50.00623950373992], [4502.107788994359, 6161.1060688041271, 3218.1802555799272, 1379.0348763810446, 640.22321406877404, 349.14793361033742, 228.99173439562361, 178.00469532465459, 156.84445929086453, 148.55111237018477], [4948.2311747056465, 8553.3089397606091, 5603.5794468290587, 2781.2587849125666, 1439.9934016139214, 853.84661084199092, 589.64424718785426, 466.19185775513267, 405.81332964558175, 375.96900504309684], [5292.3370996081712, 11038.242790006936, 8921.6574107649831, 5087.0863086276313, 2867.5539374519794, 1796.784239152586, 1281.1061782196334, 1023.8418898637763, 890.53738452759285, 817.7523115877392]] 

import numpy as np 
import matplotlib.pyplot as p 

fig1, ax1 = p.figure(1) 
plot = ax1.imshow(z,interpolation='none',cmap=p.cm.jet,origin='lower') 
fig1.colorbar(plot, ax=ax1) 
ax1.set_xlabel('label in x') 
ax1.set_ylabel('label in y') 
ax1.set_title('title') 
p.show() 

Wie diese Weise ist es sehr klar;) Vor allem, wenn Sie andere Heatmaps planen müssen;)