10 Results found for "Dosya:Np-map-no.png".

Dosya:Np-map-no.png

DescriptionNp-map-no.png English: CIA map of Nepal with Norwegian text Norsk bokmål: CIA-kart over Nepal med norsk tekst Date (of this version): 2007-06-30...


Dosya:LocMap lassen volcanic np.png

map of Lassen Volcanic National Park, in Northern California. Map of Localisation. From : http://de.wikipedia.org/wiki/Bild:LocMap_lassen_volcanic_np...


Dosya:Eocene climatic optimum july temperature cesm co2 6x 1 1.png

imwrite('map1.png', map1.astype(np.uint16)) imageio.imwrite('map2.png', map2.astype(np.uint16)) mask1=np.copy(map1) mask2=np.copy(map2) mask1=np.where(mask1<1...


Dosya:Simulated eeco january surface temperature cesm cam if co2 9x 1 1.png

imwrite('map1.png', map1.astype(np.uint16)) imageio.imwrite('map2.png', map2.astype(np.uint16)) mask1=np.copy(map1) mask2=np.copy(map2) mask1=np.where(mask1<1...


Dosya:Eocene climatic optimum january temperature cesm co2 6x 1 1.png

imwrite('map1.png', map1.astype(np.uint16)) imageio.imwrite('map2.png', map2.astype(np.uint16)) mask1=np.copy(map1) mask2=np.copy(map2) mask1=np.where(mask1<1...


Dosya:Simulated eeco july surface temperature cesm cam if co2 9x 1 1.png

imwrite('map1.png', map1.astype(np.uint16)) imageio.imwrite('map2.png', map2.astype(np.uint16)) mask1=np.copy(map1) mask2=np.copy(map2) mask1=np.where(mask1<1...


Dosya:Desert planet 8.png

to generate maps uses "noise" desert planet dem python3 source code 16.6.2023 0000.0000 import matplotlib.pyplot as plt import numpy as np import math...


Dosya:NP Minnesota and International.png

names refer to en.wikipedia. 2012-01-17 12:28 Qy0f 865×495× (18294 bytes) NP map showing Minnesota and International Railway route through central Minnesota...


Dosya:Trappist 1e as low oceans co2 280 annual tas 1.png

import os import numpy as np import matplotlib.pyplot as plt imin=Image.open("LandMaskOriginal.png") a = np.asarray(imin) b=a[0] c=np.roll(a, 640, axis=1)...


Dosya:Gliese 12b example simulation sea land 1 r 1 1 1 1.png

imageio.imwrite('map1.png', map3.astype(np.uint16)) mask2=np.copy(map2a) mask3=np.copy(map3) mask2=np.where(mask2<1,0, 65535) mask3=np.where(mask3<1,0, 65535)...