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theseanswersとthisで提供されている提案された解決策に従っていますが、私は自分のエラーを削除するようです。Numpy polyfit ufuncのPython TypeErrorにシグネチャタイプが一致するループが含まれていない
スロープリストとvals範囲のオブジェクトタイプを変更しようとしましたが、まだエラーが表示されます。私はpolynomial.pyスクリプトに陥ったが、私はエラーに記載されているコード行を理解していない。
全体的に、グレースケール値（0-255）に基づいて8ビットのグレースケール画像を個々の配列に分割し、各値に最適な線を生成し、その線から各勾配を使います画像に最も適した全体的なラインを得るのに最も適しています。ここで
は私のコードです：
image = Image.open('subfram-002.tif')
im_array = np.array(image)
#print(im_array)
####
multivec = []
####
# For loop to calculate the line of best fit for each value in the sub-frame array
arrays = [im_array] # Calling our array
vals = list(range(255)) # Range of values in array
slopes = [] # List to append each of the slopes of the line of best fit
skip = False
for i in arrays:
for j in vals:
index = list(zip(*np.where (j == i))) # Creating a list of the position indices for each value in the array
in_array = np.array(index) # Updating list to array, not needed will remove
a = list([int(i[0]) for i in index]) # Getting the first element of each tuple in the index list
b = list([int(i[1]) for i in index]) # Getting the second element of each tuple in the index list
# Add exception for vectors that are not generated due to values in 0-255 not being present
if len(a) == 0:
skip = True
elif len(b) == 0:
skip = True
else:
vec = list((np.poly1d(np.polyfit(a,b,1))).c) # Calculating list of best (1st order polynomial, consider increasing the order?)
slope = float(vec[0]) # Getting the 1st coefficient of the line of best fit, which is the slope
slopes.append(slope) # appending each slope to a list of slopes
print(type(slopes), type(vals))
slopes += ['0'] * (255 - len(slopes)) # Padding slope list in case less then 255 slopes generated
print(len(vals))
# Take in all of the slopes from each vector that is determined for each value
vec1 = (np.poly1d(np.polyfit(slopes,vals,1))).C# Determining the overall line of best fit for the array, using the slope of the vector as the comparator between sub-frames
はここに私のエラーです：
<class 'list'> <class 'list'>
255
Traceback (most recent call last):
File "aryslop.py", line 53, in <module>
vec1 = (np.poly1d(np.polyfit(slopes1,vals1,1))).C# Determining the overall line of best fit for the array, using the slope of the vector as the comparator between sub-frames
File "/home/vanoccupanther/anaconda3/lib/python3.5/site-packages/numpy/lib/polynomial.py", line 549, in polyfit
x = NX.asarray(x) + 0.0
TypeError: ufunc 'add' did not contain a loop with signature matching types dtype('<U32') dtype('<U32') dtype('<U32')