在CSVPython中根據影像名稱和復雜性創建子檔案夾

我想為每個類創建包含相關影像的子檔案夾。現在，我有一個包含所有影像的檔案夾。我創建了一個帶有 images_name 和 Complexity（標簽）的 .csv。我正在尋找根據 CSV 檔案中提到的復雜性（標簽）將所有影像移動到子目錄的最佳方法。

我的檔案夾結構如下所示：

• 檔案夾
  • 圖片
  • 檔案格式

我想創建一個子檔案夾并根據復雜性（標簽）移動所有影像

• 子檔案夾
  • 基本的
  • 緩和
  • 復雜的

    import pandas as pd
    df =pd.read_csv("DF.csv")
        df.head()

任何幫助，將不勝感激。謝謝。

uj5u.com熱心網友回復：

基本上，OP 需要兩個功能：一個是創建子檔案夾，一個是移動影像。

在一切都需要將 CSV 作為資料框讀取之前。有關如何執行此操作的更多資訊，請閱讀：將CSV 檔案匯入為 Pandas DataFrame

由于我無權訪問該檔案，因此我將從 OP 共享表中創建一個資料框示例：

import pandas as pd
import os

df = pd.DataFrame({'Title': ['Crispy Salt and Pepper Potatoes', 'Thanksgiving Mac and Cheese', 'Italian Sausage and Bread Stuffing'],
                     'Ingredients': [['2 large egg whites', '1 pound new potatoes (about 1 inch in diameter)', '2 teaspoons kosher salt', '? teaspoon finely ground black pepper', '1 teaspoon finely chopped rosemary', '1 teaspoon finely chopped thyme', '1 teaspoon finely chopped parsley'],
                                        ['1 cup evaporated milk', '1 cup whole milk', '1 tsp. garlic powder', '1 tsp. onion powder', '1 tsp. smoked paprika', '? tsp. freshly ground black pepper', '1 tsp. kosher salt, plus more', '2 lb. extra-sharp cheddar, coarsely grated', '4 oz. full-fat cream cheese', '1 lb. elbow macaroni'],
                                        ['1 (?- to 1-pound) round Italian loaf, cut into 1-inch cubes (8 cups)', '2 tablespoons olive oil, divided', '2 pounds sweet Italian sausage, casings removed, divided', '1 stick unsalted butter, cut into pieces', '3 medium onions, chopped', '4 large celery ribs, chopped', '5 garlic cloves, minced', '4 large eggs, lightly beaten', '? cup heavy cream, divided', '? cup turkey giblet stock or reduced-sodium chicken broth', '1 cup grated Parmigiano-Reggiano (2 ounces)', '? cup coarsely chopped flat-leaf parsley', '4-qt shallow ceramic or glass baking dish']],
                        'Image_Name': ['crispy-salt-and-pepper-potatoes-dan-kluger', 'thanksgiving-mac-and-cheese-erick-williams', 'italian-sausage-and-bread-stuffing-240559'],
                        'Ingredient Count': [6, 11, 22],
                        'Complexity': ['Basic', 'Moderate', 'Complex']})

現在，讓我們從第一個函式開始。我們將給它一個名稱create_subfolders，假設讀取csv檔案時生成的資料框被稱為df，并且列名與上面的相同，它應該如下所示（注釋使其不言自明）

def create_subfolders(df):
    # Get the unique values of Complexity
    complexity = df['Complexity'].unique()
    # Create a subfolder for each unique value of Complexity
    for i in complexity:
        os.mkdir(i)

然后，為了根據Complexity資料框列中提到的將影像移動到子檔案夾，我們將創建一個名為move_images. 它應該如下所示（注釋使其不言自明）

def move_images(df):
    # Get the unique values of Complexity
    complexity = df['Complexity'].unique()
    # Move images to subfolders according to Complexity(label) mentioned in the CSV file.
    for i in complexity:
        # Get the images with Complexity(label) = i
        images = df.loc[df['Complexity'] == i, 'Image_Name']
        # Move images to subfolders according to Complexity mentioned in the CSV file.
        for j in images:
            os.rename(j   '.jpg', i   '/'   j   '.jpg')

可能需要做一些調整，因為我這里沒有影像，所以前面的函式只是一個例子。例如，如果一種格式具有.png或其他格式，則應更改擴展名。

uj5u.com熱心網友回復：

import os 
import pandas as pd


def create_subfolder(path):
    if not os.path.exists(path):
        os.makedirs(path)
    return path


df = pd.read_csv("DF.csv")
data = df.values

# Subfolder name
SUB_FOLDER = create_subfolder("Subfolder") 

for item in data:
    # file name without extension
    file_name = item[2] 

    # label folder in <subfolder>
    sub_folder = create_subfolder(os.path.join(SUB_FOLDER, item[4])) 

    # move file to <subfolder>/<labelfolder>
    os.system(f"mv Images/{file_name}.* {sub_folder}/") 

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