我理解如下：

import numpy as np

arr = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])

print(arr.shape)

输出：

(2, 4)

所以我想知道为什么我得到以下内容：

import numpy

import pytesseract
import logging

# Raw call does not need escaping like usual Windows path in python 
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract'

logging.basicConfig(level=logging.WARNING)
logging.getLogger('pytesseract').setLevel(logging.DEBUG)

image = r'C:\ocr\target\31832_226140__0001-00002b.jpg'
target = numpy.asarray(pytesseract.image_to_string(image, config='--dpi 96 --psm 6 -c preserve_interword_spaces=1 -c tessedit_char_whitelist="abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789.,- \'" '))
print("target type is:",type(target))
print("target array shape is:",target.shape)

输出：

DEBUG:pytesseract:['C:\\Program Files\\Tesseract-OCR\\tesseract', 'C:\\ocr\\target\\31832_226140__0001-00002b.jpg', 'C:\\Users\\david\\AppData\\Local\\Temp\\tess_p68ogbz9', '--dpi', '96', '--psm', '6', '-c', 'preserve_interword_spaces=1', '-c', "tessedit_char_whitelist=abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789.,- '", 'txt']
target type is: <class 'numpy.ndarray'>
target array shape is: ()

好的。我的数组是文本。但我仍然认为我会得到参数的例子，比如说(1,999)为我的形状？
使用print(target)行给出以下类型的输出。
--------〉剪切〈---------

196 ANGUS, Lynne Manon ........................128 Wellington Rd, Wemuomata Recepnonst
        197 ANGUS, Mane Joan .........00... ......129 Wellington Road, Weinumomata, Married
       198 ANGUS, Manon Jean .........................173 Wellington Road, Weinuiomata,Texi Driver
        199 ANGUS. Noel Fulton ........................127 Weinuomats Road, Weinuomate, Carpenter