data_analysis14

print('name')

于 2025-04-12 12:20:03 发布

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分类专栏： Python 文章标签： python 开发语言前端 matplotlib pandas numpy

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笔记

import numpy as np

# numpy数值的修改
t2 = np.array([[0,1,2,3,4,5],[6,7,8,9,10,11],[12,13,14,15,16,17],[18,19,20,21,22,23]])
print(t2<10)
print(t2)
print()

t2[t2>20]=20
print(t2)
t2 = t2.astype(float)
t2[3,3] = np.nan
print(t2)
print("*"*66)

t1 = np.array([[3,3,3,3,3,3],[3,3,3,3,10,11],[12,13,14,15,16,17],[18,19,20,20,20,20]])
t = np.where(t1<=3,100,300)
print(t)