{"id":1153542,"date":"2025-01-13T17:40:07","date_gmt":"2025-01-13T09:40:07","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1153542.html"},"modified":"2025-01-13T17:40:10","modified_gmt":"2025-01-13T09:40:10","slug":"python%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8%e5%bc%80%e6%a0%b9%e5%8f%b7","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1153542.html","title":{"rendered":"python\u5982\u4f55\u4f7f\u7528\u5f00\u6839\u53f7"},"content":{"rendered":"

\"python\u5982\u4f55\u4f7f\u7528\u5f00\u6839\u53f7\"<\/p>\n

Python\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u6765\u8ba1\u7b97\u5f00\u6839\u53f7\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684math<\/code>\u6a21\u5757\u3001cmath<\/code>\u6a21\u5757\u4ee5\u53canumpy<\/code>\u5e93\u3002<\/strong> \u63a8\u8350\u4f7f\u7528math<\/code>\u6a21\u5757\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u540d\u4e3asqrt<\/code>\u7684\u51fd\u6570\uff0c\u53ef\u4ee5\u76f4\u63a5\u8ba1\u7b97\u6570\u5b57\u7684\u5e73\u65b9\u6839\u3002math.sqrt<\/code>\u662f\u6700\u5e38\u7528\u548c\u6700\u7b80\u5355\u7684\u65b9\u5f0f\u4e4b\u4e00\uff0c\u9002\u7528\u4e8e\u5904\u7406\u5b9e\u6570\u7684\u5e73\u65b9\u6839\u8ba1\u7b97\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u63cf\u8ff0\u8fd9\u4e00\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4f7f\u7528 math<\/code> \u6a21\u5757\u8ba1\u7b97\u5f00\u6839\u53f7<\/h3>\n<\/p>\n

Python \u7684 math<\/code> \u6a21\u5757\u63d0\u4f9b\u4e86\u57fa\u7840\u7684\u6570\u5b66\u51fd\u6570\uff0c\u5176\u4e2d\u5305\u62ec\u8ba1\u7b97\u5e73\u65b9\u6839\u7684\u51fd\u6570 sqrt<\/code>\u3002\u8981\u4f7f\u7528 math<\/code> \u6a21\u5757\uff0c\u4f60\u9996\u5148\u9700\u8981\u5bfc\u5165\u5b83\uff1a<\/p>\n<\/p>\n

import math<\/p>\n
\u8ba1\u7b97\u5e73\u65b9\u6839<\/strong><\/h2>\n
result = math.sqrt(16)<\/p>\n
print(result)  # \u8f93\u51fa\uff1a4.0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u8ba1\u7b97\u4e86\u6570\u5b57 16 \u7684\u5e73\u65b9\u6839\uff0c\u7ed3\u679c\u662f 4.0\u3002math.sqrt<\/code> \u51fd\u6570\u662f\u6700\u5e38\u7528\u7684\u8ba1\u7b97\u5b9e\u6570\u5e73\u65b9\u6839\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u4f7f\u7528 cmath<\/code> \u6a21\u5757\u8ba1\u7b97\u5f00\u6839\u53f7<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u9700\u8981\u8ba1\u7b97\u590d\u6570\u7684\u5e73\u65b9\u6839\uff0c\u53ef\u4ee5\u4f7f\u7528 cmath<\/code> \u6a21\u5757\u3002cmath<\/code> \u6a21\u5757\u4e5f\u63d0\u4f9b\u4e86\u4e00\u4e2a\u540d\u4e3a sqrt<\/code> \u7684\u51fd\u6570\uff0c\u53ef\u4ee5\u8ba1\u7b97\u590d\u6570\u7684\u5e73\u65b9\u6839\uff1a<\/p>\n<\/p>\n
import cmath<\/p>\n
\u8ba1\u7b97\u590d\u6570\u7684\u5e73\u65b9\u6839<\/strong><\/h2>\n
result = cmath.sqrt(-1)<\/p>\n
print(result)  # \u8f93\u51fa\uff1a1j<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u8ba1\u7b97\u4e86 -1 \u7684\u5e73\u65b9\u6839\uff0c\u7ed3\u679c\u662f 1j\uff0c\u8fd9\u8868\u793a\u865a\u6570\u5355\u4f4d\u3002<\/p>\n<\/p>\n
\u4f7f\u7528 numpy<\/code> \u5e93\u8ba1\u7b97\u5f00\u6839\u53f7<\/h3>\n<\/p>\n
numpy<\/code> \u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u6570\u5b66\u51fd\u6570\uff0c\u5305\u62ec\u8ba1\u7b97\u6570\u7ec4\u4e2d\u6bcf\u4e2a\u5143\u7d20\u7684\u5e73\u65b9\u6839\u3002\u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88c5 numpy<\/code> \u5e93\uff1a<\/p>\n<\/p>\n
pip install numpy<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528 numpy.sqrt<\/code> \u51fd\u6570\u6765\u8ba1\u7b97\u6570\u7ec4\u5143\u7d20\u7684\u5e73\u65b9\u6839\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u6570\u7ec4<\/strong><\/h2>\n
arr = np.array([1, 4, 9, 16])<\/p>\n
\u8ba1\u7b97\u6570\u7ec4\u4e2d\u6bcf\u4e2a\u5143\u7d20\u7684\u5e73\u65b9\u6839<\/strong><\/h2>\n
result = np.sqrt(arr)<\/p>\n
print(result)  # \u8f93\u51fa\uff1a[1. 2. 3. 4.]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b 1\u30014\u30019 \u548c 16 \u7684\u6570\u7ec4\uff0c\u5e76\u8ba1\u7b97\u4e86\u6bcf\u4e2a\u5143\u7d20\u7684\u5e73\u65b9\u6839\u3002<\/p>\n<\/p>\n
\u4e00\u3001MATH \u6a21\u5757\u7684\u6df1\u5165\u4f7f\u7528<\/h2>\n<\/p>\n
1\u3001\u57fa\u672c\u7528\u6cd5<\/h3>\n<\/p>\n
math<\/code> \u6a21\u5757\u4e2d\u7684 sqrt<\/code> \u51fd\u6570\u662f\u8ba1\u7b97\u5b9e\u6570\u5e73\u65b9\u6839\u7684\u6807\u51c6\u65b9\u6cd5\u4e4b\u4e00\u3002\u5b83\u7684\u7528\u6cd5\u975e\u5e38\u7b80\u5355\uff0c\u4e0b\u9762\u662f\u4e00\u4e9b\u57fa\u672c\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import math<\/p>\n
print(math.sqrt(25))  # \u8f93\u51fa\uff1a5.0<\/p>\n
print(math.sqrt(0))   # \u8f93\u51fa\uff1a0.0<\/p>\n
print(math.sqrt(2))   # \u8f93\u51fa\uff1a1.4142135623730951<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5904\u7406\u8d1f\u6570<\/h3>\n<\/p>\n
math.sqrt<\/code> \u4e0d\u80fd\u5904\u7406\u8d1f\u6570\uff0c\u5982\u679c\u4f20\u9012\u8d1f\u6570\u4f5c\u4e3a\u53c2\u6570\uff0c\u5b83\u4f1a\u629b\u51fa ValueError<\/code> \u5f02\u5e38\u3002\u8fd9\u662f\u56e0\u4e3a\u5e73\u65b9\u6839\u51fd\u6570\u5728\u5b9e\u6570\u57df\u4e2d\u6ca1\u6709\u5b9a\u4e49\u8d1f\u6570\u7684\u5e73\u65b9\u6839\u3002<\/p>\n<\/p>\n
import math<\/p>\n
try:<\/p>\n
    print(math.sqrt(-25))<\/p>\n
except ValueError as e:<\/p>\n
    print(e)  # \u8f93\u51fa\uff1amath domAI<\/a>n error<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5bf9\u4e8e\u9700\u8981\u8ba1\u7b97\u8d1f\u6570\u5e73\u65b9\u6839\u7684\u60c5\u51b5\uff0c\u53ef\u4ee5\u4f7f\u7528 cmath<\/code> \u6a21\u5757\u3002<\/p>\n<\/p>\n
\u4e8c\u3001CMATH \u6a21\u5757\u7684\u6df1\u5165\u4f7f\u7528<\/h2>\n<\/p>\n
1\u3001\u8ba1\u7b97\u590d\u6570\u5e73\u65b9\u6839<\/h3>\n<\/p>\n
cmath<\/code> \u6a21\u5757\u4e2d\u7684 sqrt<\/code> \u51fd\u6570\u53ef\u4ee5\u5904\u7406\u590d\u6570\u7684\u5e73\u65b9\u6839\u3002\u590d\u6570\u7684\u5e73\u65b9\u6839\u4f7f\u7528\u590d\u6570\u8868\u793a\u5f62\u5f0f\uff0c\u4f8b\u5982\uff0c\u8d1f\u6570\u7684\u5e73\u65b9\u6839\u4f1a\u8fd4\u56de\u4e00\u4e2a\u865a\u6570\u7ed3\u679c\u3002<\/p>\n<\/p>\n
import cmath<\/p>\n
print(cmath.sqrt(-25))  # \u8f93\u51fa\uff1a5j<\/p>\n
print(cmath.sqrt(25))   # \u8f93\u51fa\uff1a(5+0j)<\/p>\n
print(cmath.sqrt(2))    # \u8f93\u51fa\uff1a(1.4142135623730951+0j)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u590d\u6570\u8f93\u5165<\/h3>\n<\/p>\n
cmath.sqrt<\/code> \u51fd\u6570\u4e0d\u4ec5\u53ef\u4ee5\u5904\u7406\u8d1f\u6570\uff0c\u8fd8\u53ef\u4ee5\u5904\u7406\u4efb\u610f\u590d\u6570\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import cmath<\/p>\n
z = complex(3, 4)<\/p>\n
print(cmath.sqrt(z))  # \u8f93\u51fa\uff1a(2+1j)<\/p>\n
z = complex(-3, 4)<\/p>\n
print(cmath.sqrt(z))  # \u8f93\u51fa\uff1a(1+2j)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001NUMPY \u5e93\u7684\u6df1\u5165\u4f7f\u7528<\/h2>\n<\/p>\n
1\u3001\u5904\u7406\u6570\u7ec4<\/h3>\n<\/p>\n
numpy<\/code> \u5e93\u662f\u79d1\u5b66\u8ba1\u7b97\u7684\u5f3a\u5927\u5de5\u5177\uff0cnumpy.sqrt<\/code> \u51fd\u6570\u53ef\u4ee5\u5904\u7406\u6570\u7ec4\uff0c\u5e76\u4e14\u53ef\u4ee5\u8ba1\u7b97\u6570\u7ec4\u4e2d\u6bcf\u4e2a\u5143\u7d20\u7684\u5e73\u65b9\u6839\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
arr = np.array([1, 4, 9, 16])<\/p>\n
result = np.sqrt(arr)<\/p>\n
print(result)  # \u8f93\u51fa\uff1a[1. 2. 3. 4.]<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5904\u7406\u8d1f\u6570\u548c\u590d\u6570<\/h3>\n<\/p>\n
\u5982\u679c\u6570\u7ec4\u4e2d\u5305\u542b\u8d1f\u6570\uff0cnumpy.sqrt<\/code> \u4f1a\u8fd4\u56de nan<\/code>\uff08\u8868\u793a\u975e\u6570\u5b57\uff09\u3002\u8981\u8ba1\u7b97\u8d1f\u6570\u7684\u5e73\u65b9\u6839\uff0c\u53ef\u4ee5\u5c06\u6570\u7ec4\u8f6c\u6362\u4e3a\u590d\u6570\u7c7b\u578b\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
arr = np.array([1, -1, 4, -4])<\/p>\n
result = np.sqrt(arr)<\/p>\n
print(result)  # \u8f93\u51fa\uff1a[ 1. nan  2. nan]<\/p>\n
\u8f6c\u6362\u4e3a\u590d\u6570\u7c7b\u578b<\/strong><\/h2>\n
arr_complex = arr.astype(complex)<\/p>\n
result_complex = np.sqrt(arr_complex)<\/p>\n
print(result_complex)  # \u8f93\u51fa\uff1a[1.+0.j 0.+1.j 2.+0.j 0.+2.j]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u5176\u4ed6\u65b9\u6cd5<\/h2>\n<\/p>\n
1\u3001\u5e42\u8fd0\u7b97\u7b26<\/h3>\n<\/p>\n
\u9664\u4e86\u4f7f\u7528\u4e0a\u8ff0\u6a21\u5757\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528 Python \u7684\u5e42\u8fd0\u7b97\u7b26 <\/code> \u6765\u8ba1\u7b97\u5e73\u65b9\u6839\u3002<\/p>\n<\/p>\n
# \u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26\u8ba1\u7b97\u5e73\u65b9\u6839<\/p>\n
print(16  0.5)  # \u8f93\u51fa\uff1a4.0<\/p>\n
print(9  0.5)   # \u8f93\u51fa\uff1a3.0<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u81ea\u5b9a\u4e49\u51fd\u6570<\/h3>\n<\/p>\n
\u4f60\u4e5f\u53ef\u4ee5\u5b9a\u4e49\u4e00\u4e2a\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u8ba1\u7b97\u5e73\u65b9\u6839\u3002\u867d\u7136\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u5982\u4f7f\u7528\u6807\u51c6\u5e93\u51fd\u6570\u65b9\u4fbf\uff0c\u4f46\u5b83\u53ef\u4ee5\u5e2e\u52a9\u4f60\u7406\u89e3\u5e73\u65b9\u6839\u7684\u8ba1\u7b97\u539f\u7406\u3002<\/p>\n<\/p>\n
def custom_sqrt(x):<\/p>\n
    if x < 0:<\/p>\n
        raise ValueError("math domain error")<\/p>\n
    guess = x \/ 2.0<\/p>\n
    epsilon = 1e-10<\/p>\n
    while abs(guess * guess - x) > epsilon:<\/p>\n
        guess = (guess + x \/ guess) \/ 2.0<\/p>\n
    return guess<\/p>\n
print(custom_sqrt(16))  # \u8f93\u51fa\uff1a4.0<\/p>\n
print(custom_sqrt(2))   # \u8f93\u51fa\uff1a1.414213562373095<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u4e2a\u81ea\u5b9a\u4e49\u51fd\u6570\u4f7f\u7528\u7684\u662f\u725b\u987f\u8fed\u4ee3\u6cd5\u6765\u8ba1\u7b97\u5e73\u65b9\u6839\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5e94\u7528\u573a\u666f<\/h2>\n<\/p>\n
1\u3001\u79d1\u5b66\u8ba1\u7b97<\/h3>\n<\/p>\n
\u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\uff0c\u5e73\u65b9\u6839\u8fd0\u7b97\u662f\u975e\u5e38\u5e38\u89c1\u7684\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u5728\u7269\u7406\u5b66\u4e2d\uff0c\u5e73\u65b9\u6839\u8fd0\u7b97\u53ef\u4ee5\u7528\u4e8e\u8ba1\u7b97\u8ddd\u79bb\u3001\u901f\u5ea6\u548c\u52a0\u901f\u5ea6\u7b49\u3002<\/p>\n<\/p>\n
import math<\/p>\n
\u8ba1\u7b97\u81ea\u7531\u843d\u4f53\u7684\u901f\u5ea6<\/strong><\/h2>\n
g = 9.81  # \u91cd\u529b\u52a0\u901f\u5ea6<\/p>\n
h = 100   # \u9ad8\u5ea6<\/p>\n
v = math.sqrt(2 * g * h)<\/p>\n
print(v)  # \u8f93\u51fa\uff1a44.294469180700204<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7edf\u8ba1\u5b66<\/h3>\n<\/p>\n
\u5728\u7edf\u8ba1\u5b66\u4e2d\uff0c\u5e73\u65b9\u6839\u8fd0\u7b97\u4e5f\u7ecf\u5e38\u88ab\u4f7f\u7528\u3002\u4f8b\u5982\uff0c\u5728\u8ba1\u7b97\u6807\u51c6\u5dee\u65f6\uff0c\u9700\u8981\u7528\u5230\u5e73\u65b9\u6839\u8fd0\u7b97\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
data = [2, 4, 4, 4, 5, 5, 7, 9]<\/p>\n
mean = np.mean(data)<\/p>\n
variance = np.mean([(x - mean)  2 for x in data])<\/p>\n
std_dev = np.sqrt(variance)<\/p>\n
print(std_dev)  # \u8f93\u51fa\uff1a2.0<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u56fe\u50cf\u5904\u7406<\/h3>\n<\/p>\n
\u5728\u56fe\u50cf\u5904\u7406\u9886\u57df\uff0c\u5e73\u65b9\u6839\u8fd0\u7b97\u53ef\u4ee5\u7528\u4e8e\u8c03\u6574\u56fe\u50cf\u7684\u4eae\u5ea6\u548c\u5bf9\u6bd4\u5ea6\u3002\u4f8b\u5982\uff0c\u5728\u8fdb\u884c\u4f3d\u9a6c\u6821\u6b63\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u5e73\u65b9\u6839\u51fd\u6570\u6765\u8c03\u6574\u56fe\u50cf\u7684\u5bf9\u6bd4\u5ea6\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
import cv2<\/p>\n
image = cv2.imread('example.jpg', cv2.IMREAD_GRAYSCALE)<\/p>\n
adjusted = np.sqrt(image \/ float(np.max(image))) * 255<\/p>\n
adjusted = np.uint8(adjusted)<\/p>\n
cv2.imwrite('adjusted.jpg', adjusted)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u6027\u80fd\u6bd4\u8f83<\/h2>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4e0d\u540c\u65b9\u6cd5\u7684\u6027\u80fd\u53ef\u80fd\u6709\u6240\u5dee\u5f02\u3002\u4e0b\u9762\u6211\u4eec\u6765\u6bd4\u8f83\u51e0\u79cd\u65b9\u6cd5\u7684\u6027\u80fd\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528 timeit<\/code> \u6a21\u5757<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528 timeit<\/code> \u6a21\u5757\u6765\u6bd4\u8f83\u4e0d\u540c\u65b9\u6cd5\u7684\u6027\u80fd\u3002<\/p>\n<\/p>\n
import timeit<\/p>\n
\u4f7f\u7528 math.sqrt<\/strong><\/h2>\n
time_math = timeit.timeit('math.sqrt(16)', setup='import math', number=1000000)<\/p>\n
print(f'math.sqrt: {time_math:.6f} seconds')<\/p>\n
\u4f7f\u7528 cmath.sqrt<\/strong><\/h2>\n
time_cmath = timeit.timeit('cmath.sqrt(16)', setup='import cmath', number=1000000)<\/p>\n
print(f'cmath.sqrt: {time_cmath:.6f} seconds')<\/p>\n
\u4f7f\u7528 numpy.sqrt<\/strong><\/h2>\n
time_numpy = timeit.timeit('np.sqrt(16)', setup='import numpy as np', number=1000000)<\/p>\n
print(f'numpy.sqrt: {time_numpy:.6f} seconds')<\/p>\n
\u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26<\/strong><\/h2>\n
time_power = timeit.timeit('16  0.5', number=1000000)<\/p>\n
print(f'power operator: {time_power:.6f} seconds')<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7ed3\u679c\u5206\u6790<\/h3>\n<\/p>\n
\u5728\u6211\u7684\u6d4b\u8bd5\u4e2d\uff0cmath.sqrt<\/code> \u7684\u6027\u80fd\u901a\u5e38\u4f18\u4e8e\u5176\u4ed6\u65b9\u6cd5\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u5355\u4e2a\u6570\u503c\u65f6\u3002numpy.sqrt<\/code> \u5728\u5904\u7406\u5927\u6570\u7ec4\u65f6\u8868\u73b0\u51fa\u8272\uff0c\u800c\u5e42\u8fd0\u7b97\u7b26\u7684\u6027\u80fd\u4ecb\u4e8e\u4e24\u8005\u4e4b\u95f4\u3002cmath.sqrt<\/code> \u7684\u6027\u80fd\u4e0e math.sqrt<\/code> \u76f8\u8fd1\uff0c\u4f46\u5b83\u4e3b\u8981\u7528\u4e8e\u5904\u7406\u590d\u6570\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/h2>\n<\/p>\n
\u5728 Python \u4e2d\u8ba1\u7b97\u5e73\u65b9\u6839\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528 math<\/code> \u6a21\u5757\u3001cmath<\/code> \u6a21\u5757\u3001numpy<\/code> \u5e93\u4ee5\u53ca\u5e42\u8fd0\u7b97\u7b26\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u9002\u7528\u7684\u573a\u666f\u548c\u4f18\u7f3a\u70b9\u3002<\/p>\n<\/p>\n
math.sqrt<\/code> \u662f\u6700\u5e38\u7528\u548c\u6700\u7b80\u5355\u7684\u65b9\u6cd5\uff0c\u9002\u7528\u4e8e\u5904\u7406\u5b9e\u6570\u7684\u5e73\u65b9\u6839\u3002<\/strong><\/p>\n<\/p>\n
cmath.sqrt<\/code> \u9002\u7528\u4e8e\u5904\u7406\u590d\u6570\u7684\u5e73\u65b9\u6839\u3002<\/strong><\/p>\n<\/p>\n
numpy.sqrt<\/code> \u9002\u7528\u4e8e\u5904\u7406\u5927\u6570\u7ec4\u7684\u5e73\u65b9\u6839\u3002<\/strong><\/p>\n<\/p>\n
\u5e42\u8fd0\u7b97\u7b26 <\/strong><\/code> \u662f\u4e00\u79cd\u7b80\u4fbf\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5904\u7406\u7b80\u5355\u7684\u5e73\u65b9\u6839\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
\u6839\u636e\u4f60\u7684\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u6027\u80fd\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u4f7f\u7528 Python \u4e2d\u7684\u5e73\u65b9\u6839\u8ba1\u7b97\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8ba1\u7b97\u4e00\u4e2a\u6570\u7684\u5e73\u65b9\u6839\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u8ba1\u7b97\u4e00\u4e2a\u6570\u7684\u5e73\u65b9\u6839\u53ef\u4ee5\u4f7f\u7528math\u5e93\u4e2d\u7684sqrt()\u51fd\u6570\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5bfc\u5165math\u5e93\uff0c\u7136\u540e\u8c03\u7528sqrt()\u51fd\u6570\u5e76\u4f20\u5165\u60a8\u60f3\u8981\u8ba1\u7b97\u5e73\u65b9\u6839\u7684\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n
import math\nresult = math.sqrt(16)\nprint(result)  # \u8f93\u51fa 4.0\n<\/code><\/pre>\n
\u6b64\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528\u5e42\u8fd0\u7b97\u7b26\uff08**\uff09\u6765\u8ba1\u7b97\u5e73\u65b9\u6839\u3002\u4f8b\u5982\uff1a<\/p>\n
result = 16 ** 0.5\nprint(result)  # \u8f93\u51fa 4.0\n<\/code><\/pre>\n
Python\u4e2d\u5f00\u6839\u53f7\u7684\u7ed3\u679c\u662f\u6d6e\u70b9\u6570\u5417\uff1f<\/strong>
\u662f\u7684\uff0c\u4f7f\u7528math.sqrt()\u6216\u8005\u5e42\u8fd0\u7b97\u7b26\uff08**\uff09\u8ba1\u7b97\u5e73\u65b9\u6839\u65f6\uff0c\u7ed3\u679c\u901a\u5e38\u662f\u6d6e\u70b9\u6570\u3002\u8fd9\u662f\u56e0\u4e3a\u5e73\u65b9\u6839\u7684\u7ed3\u679c\u53ef\u80fd\u4e0d\u662f\u4e00\u4e2a\u6574\u6570\u3002\u4f8b\u5982\uff0c\u8ba1\u7b979\u7684\u5e73\u65b9\u6839\u5c06\u8fd4\u56de3.0\uff0c\u800c\u4e0d\u662f3\u3002\u5982\u679c\u60a8\u9700\u8981\u6574\u6570\u5f62\u5f0f\u7684\u7ed3\u679c\uff0c\u53ef\u4ee5\u4f7f\u7528int()\u51fd\u6570\u8fdb\u884c\u8f6c\u6362\uff0c\u4f46\u8981\u6ce8\u610f\u8fd9\u4f1a\u4e22\u5931\u5c0f\u6570\u90e8\u5206\u3002<\/p>\n
\u5728Python\u4e2d\u5982\u4f55\u5904\u7406\u8d1f\u6570\u7684\u5e73\u65b9\u6839\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u76f4\u63a5\u8ba1\u7b97\u8d1f\u6570\u7684\u5e73\u65b9\u6839\u4f1a\u5f15\u53d1\u9519\u8bef\uff0c\u56e0\u4e3a\u5b9e\u6570\u8303\u56f4\u5185\u6ca1\u6709\u8d1f\u6570\u7684\u5e73\u65b9\u6839\u3002\u5982\u679c\u60a8\u9700\u8981\u8ba1\u7b97\u8d1f\u6570\u7684\u5e73\u65b9\u6839\uff0c\u53ef\u4ee5\u4f7f\u7528\u590d\u6570\u7c7b\u578b\u3002Python\u7684complex\u7c7b\u578b\u5141\u8bb8\u60a8\u8ba1\u7b97\u8d1f\u6570\u7684\u5e73\u65b9\u6839\u3002\u4f8b\u5982\uff1a<\/p>\n
result = complex(0, 16) ** 0.5\nprint(result)  # \u8f93\u51fa 4j\n<\/code><\/pre>\n
\u4f7f\u7528\u8fd9\u79cd\u65b9\u5f0f\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u83b7\u5f97\u8d1f\u6570\u5e73\u65b9\u6839\u7684\u7ed3\u679c\uff0c\u7ed3\u679c\u5c06\u4ee5\u590d\u6570\u5f62\u5f0f\u8868\u793a\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u6765\u8ba1\u7b97\u5f00\u6839\u53f7\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684math\u6a21\u5757\u3001cmath\u6a21\u5757\u4ee5\u53canumpy\u5e93\u3002 \u63a8\u8350\u4f7f […]","protected":false},"author":3,"featured_media":1153552,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1153542"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1153542"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1153542\/revisions"}],"predecessor-version":[{"id":1153554,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1153542\/revisions\/1153554"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1153552"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1153542"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1153542"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1153542"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}