英文:
How to add noise to the first index in nump array
问题
a = np.array([[858,833,123],
[323,542,927],
[938,361,271],
[679,272,451]])
噪声 = np.random.normal(loc=0, scale=0.1, size=1)
max_iter = 2
for i in range(max_iter):
for j in range(len(a)):
a[i][0] = np.clip(a[i][0] + 噪声, a_min=0.0, a_max=None)
print(a)
英文:
How to add noise to the first index of array,with the number of iterations the max number iteration is 2.
I want to add a noise in range (1, max_iterator) to rows in order, for example:
- add 0.788 to row 1st
- add 1.233 to row 2nd
- add 0.788 to row 3rd
- add 1.233 to row 4th
- and 0.788 to row 5th
- and so on
I've tried to use this code but it doesn't work
a = np.array([[858,833,123],
[323,542,927],
[938,361,271],
[679,272,451]])
noise = np.random.normal(loc=0, scale=0.1, size=1)
max_iter = 2
for i in range(max_iter):
for j in range(len(a)):
a[i][0] = np.clip(a[i][0] + noise, a_min=0.0, a_max=None)
print(a)
答案1
得分: 1
# 需要将数组转换为浮点数而不是整数，以便添加其他浮点数
a = np.array([[858,833,123],
[323,542,927],
[938,361,271],
[679,272,451]]).astype(float)
n = 2
# 创建 n 个随机值
noise = np.random.normal(loc=0, scale=0.1, size=n)
# 循环遍历每 n 行
for i in range(0, a.shape[0], n):
a[i:i + n, 0] = np.clip(a[i:i + 1, 0] + noise, a_min=0.0, a_max=None)
英文:
You can do:
# you'll need to cast the array as floats rather ints to add other floats
a = np.array([[858,833,123],
[323,542,927],
[938,361,271],
[679,272,451]]).astype(float)
n = 2
# create n random values
noise = np.random.normal(loc=0, scale=0.1, size=n)
# loop through rows in steps of n
for i in range(0, a.shape[0], n):
a[i:i + n, 0] = np.clip(a[i:i + 1, 0] + noise, a_min=0.0, a_max=None)
答案2
得分: 0
我无法确定您的代码或问题是否符合您的要求：
这段代码会向第一列添加噪音。
英文:
I can't tell from your code or question if this is what you want or not:
a = np.array([[858,833,123],
[323,542,927],
[938,361,271],
[679,272,451]])
a[:, 0] += np.random.normal(loc=0, scale=0.1, size=len(a))
a[:, 0] = np.clip(a[:, 0], a_min=0.0, a_max=None)
This adds noise to the first column
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