Python 3.11
我直接copy极客笔记代码到pycharm上,代码出现错误,有没有大佬知道哪里错了
极客笔记代码:
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
代码:
from sympy import *
x = Symbol('x')
eq = x**2 - 4
solutions = nsolve(eq, x, [-3, -1, 1, 3])
print(solutions)
错误:
E:\phthon\phthon3.11.3\python.exe "D:\python shuju\BKS\PYTHON\O-O-2.py"
Traceback (most recent call last):
File "D:\python shuju\BKS\PYTHON\O-O-2.py", line 6, in <module>
solutions = nsolve(eq, x, [-3, -1, 1, 3])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\phthon\phthon3.11.3\Lib\site-packages\sympy\utilities\decorator.py", line 87, in func_wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "E:\phthon\phthon3.11.3\Lib\site-packages\sympy\solvers\solvers.py", line 3044, in nsolve
x = sympify(findroot(f, x0, **kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\phthon\phthon3.11.3\Lib\site-packages\mpmath\calculus\optimization.py", line 963, in findroot
iterations = solver(ctx, f, x0, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\phthon\phthon3.11.3\Lib\site-packages\mpmath\calculus\optimization.py", line 84, in __init__
raise ValueError('expected 1 or 2 starting points, got %i' % len(x0))
ValueError: expected 1 or 2 starting points, got 4
页:
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