如何使用 pandas 从 csv 中的绝对路径导入数据？

Question

I have a CSV containing n records and it is filled with absolute paths to the images. I'd like to import those images into a numpy matrix.

Answer 1

import pandas as pd
from PIL import Image
import numpy as np

def load_image( infilename ) :
  img = Image.open( infilename )
  img.load()
  data = np.asarray( img, dtype="int32" )
  return data

df = pd.read_csv (r'Path where the CSV file is stored\File name.csv')

for i in range(len(df)) : 
  print(load_image(df.iloc[i, 0]))

You can store the returned values in list if you want else directly use.

Answer 2

You can use the pandas read_csv function.

import pandas as pd

df = pd.read_csv (r'Path where the CSV file is stored\File name.csv')
print (df)

Source: https://datatofish.com/import-csv-file-python-using-pandas/