I got error from pylint from my code. I don't know how to fix that. can you please help me?
The code is here:
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
# Define the two points
x1, y1 = 4, 0
x2, y2 = 15, 1
# Define the square root function
def sqrt_func(x, a, b):
return a * np.sqrt(x - x1) + y1
# Fit the curve to the two points
popt, pcov = curve_fit(sqrt_func, [x1, x2], [y1, y2])
# Generate intermediate x values between 4 and 15
x_values = np.linspace(4, 15, num=100)
# Use the fitted curve to calculate y values
y_values = sqrt_func(x_values, *popt)
# Plot the curve and the two points
plt.plot(x_values, y_values)
plt.scatter([x1, x2], [y1, y2])
plt.show()
in this bellow line I have this error: ** Possible unbalanced tuple unpacking with sequence defined at line 885 of scipy.optimize._minpack_py: left side has 2 labels, right side has 5 values **
popt, pcov = curve_fit(sqrt_func, [x1, x2], [y1, y2])
Here's the relevant source code part:
def curve_fit(f, xdata, ydata, p0=None, sigma=None, absolute_sigma=False,
check_finite=None, bounds=(-np.inf, np.inf), method=None,
jac=None, *, full_output=False, nan_policy=None,
**kwargs):
... # a lot of code here
if full_output:
return popt, pcov, infodict, errmsg, ier
else:
return popt, pcov
pylint
analyses the body and understands that curve_fit
can return a 2-tuple or 5-tuple, but fails to infer the relationship with full_output
input parameter. We're more capable then pylint
and can read the definition to find out that the return type is always 2-tuple in your case, and so pylint
gave a false positive. You can add a comment to explain the ignorance reason and to suppress the error message, like this:
# with full_output = False, always returns a 2-tuple
# pylint: disable-next=unbalanced-tuple-unpacking
popt, pcov = curve_fit(sqrt_func, [x1, x2], [y1, y2])
Note that I'm using pylint: disable-next
, see this question for reasons to prefer it to pylint: ignore
in many cases.