Python 3.x 表格（图像文件）到excel

下面是我的代码的样子

outer = []
for i in range(len(finalboxes)):
    for j in range(len(finalboxes[i])):
        inner = ''
        if (len(finalboxes[i][j]) == 0):
            outer.append(' ')
        else:
            for k in range(len(finalboxes[i][j])):
                y, x, w, h = finalboxes[i][j][k][0], finalboxes[i][j][k][1], finalboxes[i][j][k][2], \
                             finalboxes[i][j][k][3]
                finalimg = bitnot[x:x + h, y:y + w]
                kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (2, 1))
                border = cv2.copyMakeBorder(finalimg, 2, 2, 2, 2, cv2.BORDER_CONSTANT, value=[255, 255])
                resizing = cv2.resize(border, None, fx=2, fy=2, interpolation=cv2.INTER_CUBIC)
                dilation = cv2.dilate(resizing, kernel, iterations=1)
                erosion = cv2.erode(dilation, kernel, iterations=1)

                out = pytesseract.image_to_string(erosion)
                if (len(out) == 0):
                    out = pytesseract.image_to_string(erosion, config='--psm 3')
                inner = inner + " " + out
            outer.append(inner)

#Creating a dataframe of the generated OCR list
arr = np.array(outer)
dataframe = pd.DataFrame(arr.reshape(len(row),countcol))
print(dataframe)
data = dataframe.style.set_properties(align="left")

ILLEGAL_CHARACTERS_RE = re.compile(r'[\000-\010]|[\013-\014]|[\016-\037]')
data = data.applymap(lambda x: ILLEGAL_CHARACTERS_RE.sub(r'', x) if isinstance(x, str) else x)
#Converting it in a excel-file
data.to_excel("output3.xlsx")

这显然是代码的一部分，我认为问题的根源就在这里

为了制作一个表格（附上截图），我打开了一个word文件，制作了一个

4x4

表格，并用随机条目填充它。拍了一张截图。

现在，在转换之后，下面是我的excel的外观

outer = []
for i in range(len(finalboxes)):
    for j in range(len(finalboxes[i])):
        inner = ''
        if (len(finalboxes[i][j]) == 0):
            outer.append(' ')
        else:
            for k in range(len(finalboxes[i][j])):
                y, x, w, h = finalboxes[i][j][k][0], finalboxes[i][j][k][1], finalboxes[i][j][k][2], \
                             finalboxes[i][j][k][3]
                finalimg = bitnot[x:x + h, y:y + w]
                kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (2, 1))
                border = cv2.copyMakeBorder(finalimg, 2, 2, 2, 2, cv2.BORDER_CONSTANT, value=[255, 255])
                resizing = cv2.resize(border, None, fx=2, fy=2, interpolation=cv2.INTER_CUBIC)
                dilation = cv2.dilate(resizing, kernel, iterations=1)
                erosion = cv2.erode(dilation, kernel, iterations=1)

                out = pytesseract.image_to_string(erosion)
                if (len(out) == 0):
                    out = pytesseract.image_to_string(erosion, config='--psm 3')
                inner = inner + " " + out
            outer.append(inner)

#Creating a dataframe of the generated OCR list
arr = np.array(outer)
dataframe = pd.DataFrame(arr.reshape(len(row),countcol))
print(dataframe)
data = dataframe.style.set_properties(align="left")

ILLEGAL_CHARACTERS_RE = re.compile(r'[\000-\010]|[\013-\014]|[\016-\037]')
data = data.applymap(lambda x: ILLEGAL_CHARACTERS_RE.sub(r'', x) if isinstance(x, str) else x)
#Converting it in a excel-file
data.to_excel("output3.xlsx")

有人能解释一下上面的箭头是什么吗？我认为存在一些编码问题

我附上了完整代码的链接。如果有帮助的话。（我错误地将其保存为txt文件）