self.files_1 = [] self.files_2 = [] # 获取self.file_path路径下的文件和文件夹 self.items = os.listdir(self.file_path) for item in self.items: # 判断是否为文件 if os.path.isfile(os.path.join(self.file_path, item)): # 判断文件扩展名是否在custom_order列表中 if os.path.splitext(item)[1] in self.custom_order: self.files_1.append(item) # 判断是否为文件夹 elif os.path.isdir(os.path.join(self.file_path, item)): # 打开文件夹并获取其中的文件 folder_path = os.path.join(self.file_path, item) folder_files = [f for f in os.listdir(folder_path) if os.path.isfile(os.path.join(folder_path, f)) and os.path.splitext(f)[1] in self.custom_order] self.files_2.extend(folder_files) # 打印获取到的文件列表 # 对self.files_1按照self.custom_order排序 self.files_1 = sorted(self.files_1, key=lambda x: self.custom_order.index(os.path.splitext(x)[1])) self.files_2 = sorted(self.files_2, key=lambda x: self.custom_order.index(os.path.splitext(x)[1])) print(self.files_1) print(self.files_2)如何获取self.files_2的路径

时间: 2024-04-08 09:30:02 浏览: 14
要获取`self.files_2`中每个文件的完整路径，你可以在添加文件到`self.files_2`列表时保存文件的绝对路径。以下是修改后的代码示例： ```python self.files_1 = [] self.files_2 = [] self.items = os.listdir(self.file_path) for item in self.items: if os.path.isfile(os.path.join(self.file_path, item)): if os.path.splitext(item)[1] in self.custom_order: self.files_1.append(item) elif os.path.isdir(os.path.join(self.file_path, item)): folder_path = os.path.join(self.file_path, item) folder_files = [os.path.join(folder_path, f) for f in os.listdir(folder_path) if os.path.isfile(os.path.join(folder_path, f)) and os.path.splitext(f)[1] in self.custom_order] self.files_2.extend(folder_files) self.files_1 = sorted(self.files_1, key=lambda x: self.custom_order.index(os.path.splitext(x)[1])) self.files_2 = sorted(self.files_2, key=lambda x: self.custom_order.index(os.path.splitext(x)[1])) print(self.files_1) print(self.files_2) ``` 这样，`self.files_2`列表中的每个元素都是文件的完整路径，包括文件夹路径和文件名。你可以使用`os.path.abspath()`函数获取文件的绝对路径。

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def set_bag_groups(self): for vehicle in self.log_groups: date = timestr2str(self.date) groups = get_bag_upload_folders(date, vehicle) if not groups: continue for group, bags in groups.items(): self.bag_groups.setdefault(vehicle, []).append(group) self.bag_group_files[group] = bags def run(self): self.filter_bag() self.set_bag_groups() create_status(self.sess, self.bag_groups, self.bag_group_files, self.log_groups, self.log_group_files, self.date) for vehicle in self.log_groups: self.upload_bags(vehicle) self.upload_logs(vehicle, self.date) #self.check_status() def filter_bag(self): pool = Pool(processes=4) date = timestr2str(self.date) for vehicle in self.log_groups: tmp_file = f"tmp/{date}_{vehicle}_bag" if os.path.exists(tmp_file): continue pool.apply_async(filter_bag_by_shell, args=( self.date, vehicle, )) pool.close() pool.join()

另外，还有两个函数调用：self.upload_bags() 和 self.upload_logs()，它们用于上传袋子文件和日志文件。最后，这个方法还有一个被注释掉的函数调用：self.check_status()，它可能是用于检查状态的。

修改以下代码使其能够输出模型预测结果： def open_image(self): file_dialog = QFileDialog() file_paths, _ = file_dialog.getOpenFileNames(self, "选择图片", "", "Image Files (*.png *.jpg *.jpeg)") if file_paths: self.display_images(file_paths) def preprocess_images(self, image_paths): data_transform = transforms.Compose([ transforms.CenterCrop(150), transforms.ToTensor(), transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]) ]) self.current_image_paths = [] images = [] for image_path in image_paths: image = Image.open(image_path) image = data_transform(image) image = torch.unsqueeze(image, dim=0) images.append(image) self.current_image_paths.append(image_path) return images def predict_images(self): if not self.current_image_paths: return for i, image_path in enumerate(self.current_image_paths): image = self.preprocess_image(image_path) output = self.model(image) predicted_class = self.class_dict[output.argmax().item()] self.result_labels[i].setText(f"Predicted Class: {predicted_class}") self.progress_bar.setValue((i+1)*20) def display_images(self, image_paths): for i, image_path in enumerate(image_paths): image = QImage(image_path) image = image.scaled(300, 300, Qt.KeepAspectRatio) if i == 0: self.image_label_1.setPixmap(QPixmap.fromImage(image)) elif i == 1: self.image_label_2.setPixmap(QPixmap.fromImage(image)) elif i == 2: self.image_label_3.setPixmap(QPixmap.fromImage(image)) elif i == 3: self.image_label_4.setPixmap(QPixmap.fromImage(image)) elif i == 4: self.image_label_5.setPixmap(QPixmap.fromImage(image))

请注意，代码中的 preprocess_images 函数和 predict_images 函数中的 self.preprocess_image(image_path) 需要修改为 self.preprocess_images([image_path])。修改后的代码如下： def open_image(self): file...

import pandas as pd from PyQt5.QtWidgets import QApplication, QTableView, QMainWindow, QVBoxLayout, QWidget, QPushButton, QFileDialogfrom PyQt5 import QtCoreclass ExcelViewer(QMainWindow): def __init__(self): super().__init__() self.df = None # 初始值为 None self.table_view = QTableView() self.setCentralWidget(self.table_view) self.initUI() def initUI(self): self.setWindowTitle("Excel Viewer") self.resize(800, 600) # 添加查询按钮 self.button = QPushButton("查询", self) self.button.setGeometry(QtCore.QRect(340, 20, 80, 30)) self.button.clicked.connect(self.selectExcel) def selectExcel(self): # 弹出文件选择窗口 file_path, _ = QFileDialog.getOpenFileName(self, "选择Excel文件", "", "Excel Files (*.xlsx *.xls)") if file_path: # 读取 Excel 文件并将其转换为 pandas DataFrame 对象 self.df = pd.read_excel(file_path) # 将 DataFrame 数据设置为表格模型并在 QTableView 中显示 model = pdTableModel(self.df) self.table_view.setModel(model)class pdTableModel(QtCore.QAbstractTableModel): def __init__(self, data): super().__init__() self._data = data def data(self, index, role): if role == QtCore.Qt.DisplayRole: return str(self._data.iloc[index.row(), index.column()]) def rowCount(self, index): return self._data.shape[0] def columnCount(self, index): return self._data.shape[1]if __name__ == '__main__': app = QApplication([]) excel_viewer = ExcelViewer() excel_viewer.show() app.exec_()帮我修改，不需要自己选择文件

好的，如果不需要手动选择文件，可以在 ExcelViewer 类的 initUI() 方法中直接调用 pd.read_excel() 方法读取固定的 Excel 文件，代码如下： python import pandas as pd from PyQt5.QtWidgets import ...

from requests_html import HTMLSession import os class Spider: def init(self): self.base_url = 'https://s3-ap-northeast-1.amazonaws.com/data.binance.vision/data/spot/daily/klines' self.pair = '1INCHBTC' self.interval = '1d' self.session = HTMLSession() def get_urls(self): urls = [] # 首页 response = self.session.get(f'{self.base_url}/{self.pair}/{self.interval}/') if response.status_code == 200: for link in response.html.links: if link.endswith('.zip'): urls.append(link) # 分页 while True: response = self.session.get(response.html.links[-1]) if response.status_code != 200: # 请求失败 break for link in response.html.links: if link.endswith('.zip'): urls.append(link) if 'CHECKSUM' in response.html.links[-1]: break return urls def download_files(self): urls = self.get_urls() if not urls: print('下载失败') return if not os.path.exists('download_files'): os.mkdir('download_files') for url in urls: file_name = url.split('/')[-1] file_path = f'/Users/huyang/Desktop/2023/Grach/{file_name}' if os.path.exists(file_path): # 文件已存在 print(f'{file_name} 已存在') continue response = self.session.get(url) if response.status_code != 200: # 请求失败 print(f'{file_name} 下载失败') continue with open(file_path, 'wb') as f: f.write(response.content) print(f'{file_name} 下载成功') def run(self): self.download_files()，将对应的下载数据的网站地址改为'http://www.greenfinance.org.cn/'

您需要更改 Spider 类中的以下属性和方法： python class Spider: def __init__(self): self.base_url = 'http://www.greenfinance.org.cn/' self.session = HTMLSession() def get_urls(self): urls = []...

self.image_path = filedialog.askopenfilename(title="Select Image", filetypes=(("jpeg files", "*.jpg"), ("all files", "*.*")))

This code opens a file dialog box that allows the user to select an image file (in this case, with a .jpg file extension) and stores the file path as a string in the variable self.image_path. The file...
pdf

[Mastering.Node.js(2013.11) 精通Node.js

Chapter 2: Understanding Asynchronous Event-Driven Programming 25 Broadcasting events 26 Collaboration 28 Queueing 29 Listening for events 30 Signals 30 Forks 32 File events 34 Deferred execution 35 ...

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