如何在 numpy ndArray 中插入值？

Question

我有两个 ndArray。

ex: 
x = np.array([110,200, 500,100])
y = np.array([50,150,30,70])

现在基于它们的价值，我创建了一个图像。

x_shape = np.max(x)   #x_shape=500
y_shape = np.max(y)   #y-shape=150
image = np.zeros((x_shape+1, y_shape+1))

根据我现在的数据，我的图像大小是 (501,151)

现在，如何将 (x, y) 中的数据作为 x,y 对插入？我的意思是像素值： (110,50), (200,150), (500,30), (100,70) 我希望图像是白色的，其余像素是暗的。我怎样才能做到这一点？

Answer 1

基于OP's own answer，可以使用矢量化方法对其进行改进：

import numpy as np
import matplotlib.pyplot as plt

x = np.array([110,200, 500,100])
y = np.array([50,150,30,70])
x = np.floor(x / 10).astype(int)
y = np.floor(y / 10).astype(int)
x_shape = np.max(x)   # x_shape = 500
y_shape = np.max(y)   # y_shape = 150
image = np.zeros((x_shape + 10, y_shape + 10))
image[x, y] = 10

plt.imshow(image)

（说句公道话，我从问题中不明白这就是 OP 所追求的）。

---

编辑

在不从 cmets 调整大小的情况下解决“可视化问题”：

import numpy as np
import matplotlib.pyplot as plt

x = np.array([110, 200, 500, 100])
y = np.array([50, 150, 30, 70])

x_shape = np.max(x)
y_shape = np.max(y)
image = np.zeros((x_shape + 1, y_shape + 1))
image[x, y] = 10

plt.figure(figsize=(20, 20))
plt.imshow(image.transpose(), interpolation='nearest', aspect='equal')

Answer 2

不确定你到底需要什么，你可以试试

a = np.array([110, 200, 500, 100])
b = np.array([50, 150, 30, 70])

np.array([zip(x,y) for x,y in zip(a,b)])
pd.DataFrame(list(zipped))```
##or another representation
np.dstack((x,y))


both are taken from  https://stackoverflow.com/questions/49461605/why-do-we-need-to-convert-a-zipped-object-into-a-list


  [1]: https://stackoverflow.com/questions/49461605/why-do-we-need-to-convert-a-zipped-object-into-a-list

Answer 3

嗯，我得到了答案。这很容易，因为我是新手，这让我很困惑。

   import numpy as np
   import matplotlib.pyplot as plt
   x = np.array([110,200, 500,100])
   y = np.array([50,150,30,70])

   x = np.floor(x/10).astype(int)  #devided by 10 to reduce the img size
   y = np.floor(y/10).astype(int)  #devided by 10 to reduce the img size
   x_shape = np.max(x)   #x_shape=500
   y_shape = np.max(y)   #y-shape=150
   image = np.zeros((x_shape+10, y_shape+10))
   for x, y in zip(x,y):

        image[x,y]=200

   plt.imshow(image)