Lambidify throws TypeError: can't multiply sequence by non-int of type 'float' when I try to plot through Matplotlib
Lambidify throws TypeError: can't multiply sequence by non-int of type 'float' when I try to plot through Matplotlib
每当我尝试运行这个:
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
import numpy as np
from numpy import *
import sympy
from sympy.abc import x,y
from sympy import symbols
from sympy.plotting import plot
def Plot_2D_RHS(xdata,ydata,RHS):
x = symbols('x')
RHS=sympy.sympify(RHS)
RHS=sympy.lambdify([x], RHS)
plt.figure(figsize=(6, 4))
plt.scatter(xdata, ydata, label='Data')
plt.plot(xdata, RHS(xdata), label='Fit')
plt.legend(loc='best')
plt.show()
xdata=[1, 4 , 6, 8 ,9,10]
ydata=[2, 5, 7, 8,11,12]
RHS='9.8+3.7*x'
Plot_2D_RHS(xdata,ydata,RHS)
我明白了
Traceback (most recent call last):
File "C:\Users\Essam\Source\Repos\Curve-Fitting\NetwonWillRemember\Trail1\Trail1.py", line 182, in <module>
Plot_2D_RHS(xdata,ydata,RHS)
File "C:\Users\Essam\Source\Repos\Curve-Fitting\NetwonWillRemember\Trail1\Trail1.py", line 16, in Plot_2D_RHS
plt.plot(xdata, RHS(xdata), label='Fit')
File "<lambdifygenerated-1>", line 2, in _lambdifygenerated
TypeError: can't multiply sequence by non-int of type 'float'
Press any key to continue . . .
并且没有显示图,但是出于某种原因,如果我们将 RHS 中的 x 更改为 'cos(x)' 之类的东西,它可以正常工作,我如何在不使用 Sympy 的图的情况下解决这个问题,因为它没有不提供散点图。
In [23]: sympify('9.8+3.7*x')
Out[23]: 3.7⋅x + 9.8
In [24]: f=lambdify([x],sympify('9.8+3.7*x'))
In [25]: print(f.__doc__)
Created with lambdify. Signature:
func(x)
Expression:
3.7*x + 9.8
Source code:
def _lambdifygenerated(x):
return (3.7*x + 9.8)
Imported modules:
它适用于数组参数,但不适用于列表:
In [26]: f(np.arange(3))
Out[26]: array([ 9.8, 13.5, 17.2])
In [27]: f([1,2,3])
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-27-816cce84b257> in <module>
----> 1 f([1,2,3])
<lambdifygenerated-2> in _lambdifygenerated(x)
1 def _lambdifygenerated(x):
----> 2 return (3.7*x + 9.8)
TypeError: can't multiply sequence by non-int of type 'float'
每当我尝试运行这个:
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
import numpy as np
from numpy import *
import sympy
from sympy.abc import x,y
from sympy import symbols
from sympy.plotting import plot
def Plot_2D_RHS(xdata,ydata,RHS):
x = symbols('x')
RHS=sympy.sympify(RHS)
RHS=sympy.lambdify([x], RHS)
plt.figure(figsize=(6, 4))
plt.scatter(xdata, ydata, label='Data')
plt.plot(xdata, RHS(xdata), label='Fit')
plt.legend(loc='best')
plt.show()
xdata=[1, 4 , 6, 8 ,9,10]
ydata=[2, 5, 7, 8,11,12]
RHS='9.8+3.7*x'
Plot_2D_RHS(xdata,ydata,RHS)
我明白了
Traceback (most recent call last):
File "C:\Users\Essam\Source\Repos\Curve-Fitting\NetwonWillRemember\Trail1\Trail1.py", line 182, in <module>
Plot_2D_RHS(xdata,ydata,RHS)
File "C:\Users\Essam\Source\Repos\Curve-Fitting\NetwonWillRemember\Trail1\Trail1.py", line 16, in Plot_2D_RHS
plt.plot(xdata, RHS(xdata), label='Fit')
File "<lambdifygenerated-1>", line 2, in _lambdifygenerated
TypeError: can't multiply sequence by non-int of type 'float'
Press any key to continue . . .
并且没有显示图,但是出于某种原因,如果我们将 RHS 中的 x 更改为 'cos(x)' 之类的东西,它可以正常工作,我如何在不使用 Sympy 的图的情况下解决这个问题,因为它没有不提供散点图。
In [23]: sympify('9.8+3.7*x')
Out[23]: 3.7⋅x + 9.8
In [24]: f=lambdify([x],sympify('9.8+3.7*x'))
In [25]: print(f.__doc__)
Created with lambdify. Signature:
func(x)
Expression:
3.7*x + 9.8
Source code:
def _lambdifygenerated(x):
return (3.7*x + 9.8)
Imported modules:
它适用于数组参数,但不适用于列表:
In [26]: f(np.arange(3))
Out[26]: array([ 9.8, 13.5, 17.2])
In [27]: f([1,2,3])
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-27-816cce84b257> in <module>
----> 1 f([1,2,3])
<lambdifygenerated-2> in _lambdifygenerated(x)
1 def _lambdifygenerated(x):
----> 2 return (3.7*x + 9.8)
TypeError: can't multiply sequence by non-int of type 'float'