import os import PyPDF2 # PDF文件所在目录 pdf_folder = 'C:\Desktop\papers' # TXT文件所在目录 txt_folder = 'C:\Desktop\papers' # 遍历PDF文件夹中的所有PDF文件 for filename in os.listdir(pdf_papers): if filename.endswith('.pdf'): # 读取PDF文件 pdf_path = os.path.join(pdf_papers, filename) with open(pdf_path, 'rb') as f: pdf_reader = PyPDF2.PdfFileReader(f) # 遍历PDF文件中的所有页面 for page_num in range(pdf_reader.getNumPages()): # 将页面中的文本提取出来并写入TXT文件 page = pdf_reader.getPage(page_num) text = page.extractText() txt_filename = os.path.splitext(filename)[0] + '-page{}.txt'.format(page_num+1) txt_path = os.path.join(txt_folder, txt_filename) with open(txt_path, 'w', encoding='utf-8') as txt_file: txt_file.write(text)

Unitial::desktop_computer:我的rc配置dotfiles:open_file_folder:

在其他unix环境中，请准备curl或wget ，以便安装脚本可以正确下载其他文件。安装如果您有curl通过此一行命令安装： curl -Lo- https://github.com/PeterDaveHello/Unitial/raw/master/setup.sh | bash 如果您没有...

md-file-tree：生成目录中所有文件的降价列表。现在也与表情符号:open_file_folder:

递归生成目录中所有文件的markdown树。如何使用？安装脚本 $ npm install md-file-tree -g 在任何目录中运行树脚本 $ md-file-tree 启用表情符号（ :open_file_folder: 和 :page_facing_up: ）和命令行开关 $ md-...

import os import pandas as pd # 步骤 1: 列出指定文件夹内所有文件 input_folder_path = "D:\浏览器下载\数据" # 替换为你的文件夹路径

# 步骤 2: 如果需要，过滤掉非文件项（如子目录） files_only = [file for file in files if os.path.isfile(os.path.join(input_folder_path, file))] # 步骤 3: 使用pandas读取文件（如果文件是CSV等可以处理的...

import flowio import pandas as pd import os import csv # 设置输入和输出文件夹 input_folder = "D:/test_data_Fcs/" output_folder = "D:/test_data_Fcs/" # 遍历输入文件夹中的所有fcs文件 for filename in os.listdir(input_folder): if filename.endswith(".fcs"): # 从fcs文件中读取数据 fcs = flowio.FlowData(os.path.join(input_folder, filename)) events = fcs.events() # 将数据转换为pandas DataFrame df = pd.DataFrame(events) # 将DataFrame保存为csv文件 output_filename = os.path.join(output_folder, filename[:-4] + ".csv") df.to_csv(output_filename, index=False)出错：array.array' object is not callable

import os import csv # 设置输入和输出文件夹 input_folder = "D:/test_data_Fcs/" output_folder = "D:/test_data_Fcs/" # 遍历输入文件夹中的所有fcs文件 for filename in os.listdir(input_folder): if ...

import os from datetime import datetime import random import string def batch_rename_files(folder_path, random_string_length=0): """ 批量重命名文件，名字改为该文件的创建或修改日期，如果有重名的文件，可以添加一个随机字符串 :param folder_path: 文件夹路径 :param random_string_length: 随机字符串长度，默认为0 """ for filename in os.listdir(folder_path): # 获取文件的创建时间或修改时间 full_path = os.path.join(folder_path, filename) if os.path.isfile(full_path): timestamp = os.path.getmtime(full_path) else: continue # 格式化时间 date_time = datetime.fromtimestamp(timestamp) new_name = date_time.strftime("%Y-%m-%d %H-%M-%S") # 添加随机字符串 if random_string_length > 0: random_string = ''.join(random.choices(string.ascii_lowercase + string.digits, k=random_string_length)) new_name += '-' + random_string # 拼接新的文件名 file_extension = os.path.splitext(filename)[1] new_filename = new_name + file_extension new_full_path = os.path.join(folder_path, new_filename) # 重命名文件 os.rename(full_path, new_full_path) if name == 'main': folder_path = 'your_folder_path' batch_rename_files(folder_path, random_string_length=5)

好的，根据你的要求，将以上代码修改为将修改后的文件命名恢复原来的命名，可以按照以下方式修改： import os from datetime import datetime import random import string def restore_original_names...

import os import shutil # 相对路径 relative_path = '.\dataset1.0\labels' # 遍历目录下的所有文件 for file_name in os.listdir(relative_path): file_path = os.path.join(relative_path, file_name) if file_name.endswith('.txt'): with open(file_path, 'r') as file: # 读取文件第一行的第一个数字作为标签类别编号 first_line = file.readline() label_number = int(first_line.strip()[0]) # 构建目标文件夹路径 destination_folder = '.\C{}'.format(label_number) # 如果目标文件夹不存在，则创建目标文件夹 if not os.path.exists(destination_folder): os.makedirs(destination_folder) # 构建目标文件路径 destination_file = os.path.join(destination_folder, file_name) # 移动文件到目标文件夹 shutil.move(file_path, destination_file)

# 遍历目录下的所有文件 for _ in range(1000): for file_name in os.listdir(relative_path): file_path = os.path.join(relative_path, file_name) if file_name.endswith('.txt'): with open(file_path, 'r')...

不對，我需要將所有的txt文件内容匯總在一個txt文件中import os import shutil import datetime source_folder = r"Y:\iplas\Robot_Log\SMT" destination_folder = "D:\測試log" today = datetime.date.today() for file_name in os.listdir(source_folder): if file_name.endswith(".txt") and datetime.date.fromtimestamp(os.path.getmtime(os.path.join(source_folder, file_name))) == today: shutil.copy(os.path.join(source_folder, file_name), os.path.join(destination_folder, file_name)) import os destination_folder = "D:\測試log" txt_file = os.path.join(destination_folder, "all_files.txt") with open(txt_file, "w") as f: for file_name in os.listdir(destination_folder): f.write(file_name + "\n")

这段代码可以将指定文件夹下今天修改过的所有txt文件复制到另一个文件夹中，并将它们的文件名写入一个名为"all_files.txt"的txt文件中。但是，这并不是将所有txt文件内容合并到一个txt文件中。如果你想将所有txt...

import arcpy import os # 获取输入要素类路径 input_fc = arcpy.GetParameterAsText(0) # 获取输出文件夹路径 output_folder = arcpy.GetParameterAsText(1) # 获取要素类名称 fc_name = arcpy.Describe(input_fc).baseName # 创建输出要素类的路径 output_fc = os.path.join(output_folder, fc_name) # 导出要素类 arcpy.FeatureClassToFeatureClass_conversion(input_fc, output_folder, fc_name)运行错误：Traceback (most recent call last): File "D:\多对一空间连接\批量导出数据.py", line 11, in <module> NameError: name 'output_folder' is not defined 执行(批量导数据)失败。请改正代码

import os # 获取输入要素类路径 input_fc = arcpy.GetParameterAsText(0) # 获取输出文件夹路径 output_folder = arcpy.GetParameterAsText(1) # 获取要素类名称 fc_name = arcpy.Describe(input_fc).baseName ...

import csv import os import pandas as pd # 源文件夹路径 source_folder = "E:/lexin/output" # 新csv文件夹路径 output_folder = "E:/lexin/output2" # 获取源文件夹中的所有csv文件 csv_files = [f for f in os.listdir(source_folder) if f.endswith('.csv')] # 创建新的csv文件 output_files = [] with open(os.path.join(output_folder, "output.csv"), 'w') as output_file: output_files.append(csv.writer(output_file)) for i in range(1, len(csv_files)): output_file_path = os.path.join(output_folder, f"output{i}.csv") with open(output_file_path, 'w') as new_output_file: output_files.append(csv.writer(new_output_file)) # 遍历每个csv文件 for csv_file in csv_files: with open(os.path.join(source_folder, csv_file), 'r') as f: reader = csv.reader(f) # 遍历每行数据 for i, row in enumerate(reader): # 将第i行写入对应的新csv文件 with open(os.path.join(output_folder, f"output{i}.csv"), 'a', newline='') as out_file:#newline=''作用：避免出现空行。 writer = csv.writer(out_file) writer.writerow(row)运行这段代码，要想将输出的csv文件以文件中第5第6列第一行数据为文件名，怎么修改

output_folder = "E:/lexin/output2" # 获取源文件夹中的所有csv文件 csv_files = [f for f in os.listdir(source_folder) if f.endswith('.csv')] # 遍历每个csv文件 for csv_file in csv_files: with open...

請你幫我加一段代碼，需要實現所有複製的文件匯總在一個txt文件中import os import shutil import datetime source_folder = r"Y:\iplas\Robot_Log\SMT" destination_folder = "D:\測試log" today = datetime.date.today() for file_name in os.listdir(source_folder): if file_name.endswith(".txt") and datetime.date.fromtimestamp(os.path.getmtime(os.path.join(source_folder, file_name))) == today: shutil.copy(os.path.join(source_folder, file_name), os.path.join(destination_folder, file_name))

txt_file = os.path.join(destination_folder, "all_files.txt") with open(txt_file, "w") as f: for file_name in os.listdir(destination_folder): f.write(file_name + "\n") 這段代碼會在 destination...

import csvimport os# 源文件夹路径source_folder = "/path/to/source/folder"# 新csv文件夹路径output_folder = "/path/to/output/folder"# 获取源文件夹中的所有csv文件csv_files = [f for f in os.listdir(source_folder) if f.endswith('.csv')]# 创建新的csv文件output_files = []with open(os.path.join(output_folder, "output.csv"), 'w') as output_file: output_files.append(csv.writer(output_file)) for i in range(1, len(csv_files)): output_file_path = os.path.join(output_folder, f"output{i}.csv") with open(output_file_path, 'w') as new_output_file: output_files.append(csv.writer(new_output_file))# 遍历每个csv文件for csv_file in csv_files: with open(os.path.join(source_folder, csv_file), 'r') as f: reader = csv.reader(f) # 遍历每行数据 for i, row in enumerate(reader): # 将第i行写入对应的新csv文件 output_files[i].writerow(row)这串代码显示ValueError: I/O operation on closed file.，怎么修改

这个错误可能是因为你已经关闭了一个文件，然后尝试在关闭的文件上执行 I/O 操作。你可以尝试将 output_files 中每个 CSV 文件的写入操作放在 with 语句块中，以确保文件在使用后被正确关闭。修改后的代码如下：...

这段代码在运行时import SimpleITK as sitkimport numpy as npimport os# 设置文件路径data_path = 'C:/Users/Administrator/Desktop/LiTS2017/'save_path = 'C:/Users/Administrator/Desktop/2D-LiTS2017/'if not os.path.exists(save_path): os.makedirs(save_path)# 定义函数将3D图像保存为2D的.png格式def save_image_as_png(image, save_folder, name_prefix): for i in range(image.shape[2]): slice = np.squeeze(image[:, :, i]) slice = slice.astype(np.float32) slice = 255.0/slice.max() slice = slice.astype(np.uint8) save_name = os.path.join(save_folder, name_prefix + '_' + str(i) + '.png') sitk.WriteImage(sitk.GetImageFromArray(slice), save_name)# 读取Training Batch 1中的图像image_path = os.path.join(data_path, 'Training Batch 1/volume-0.nii')image = sitk.ReadImage(image_path)image_array = sitk.GetArrayFromImage(image)save_folder = os.path.join(save_path, 'image')if not os.path.exists(save_folder): os.makedirs(save_folder)save_image_as_png(image_array, save_folder, 'img')# 读取Training Batch 2中的标签label_path = os.path.join(data_path, 'Training Batch 2/segmentation-0.nii')label = sitk.ReadImage(label_path)label_array = sitk.GetArrayFromImage(label)# 将标签转换为灰度图并保存label_array[label_array == 1] = 128label_array[label_array == 2] = 255save_folder = os.path.join(save_path, 'mask')if not os.path.exists(save_folder): os.makedirs(save_folder)save_image_as_png(label_array, save_folder, 'mask')会出现RuntimeWarning: divide by zero encountered in true_divide slice = 255.0/slice.max()这种情况，修复它，并给出完整代码

import os # 设置文件路径 data_path = 'C:/Users/Administrator/Desktop/LiTS2017/' save_path = 'C:/Users/Administrator/Desktop/2D-LiTS2017/' if not os.path.exists(save_path): os.makedirs(save_path) # ...

請你幫我加一行代碼，我將匯總的TXT文件再複製到另外的路徑import os import shutil from datetime import date import time #指定目标文件夹路径和本地路径 src_folder = r"Y:\iplas\Robot_Log\SMT" dst_folder = "D:\測試log" start_time = time.time() #获取今天的日期 today = date.today() #遍历目标文件夹中的所有文件 for file_name in os.listdir(src_folder): if file_name.endswith('.txt'): file_path = os.path.join(src_folder, file_name) if date.fromtimestamp(os.path.getmtime(file_path)) == today: shutil.copy(file_path, os.path.join(dst_folder, file_name)) #遍历本地路径中的所有文件 file_contents = [] for file_name in os.listdir(dst_folder): if file_name.endswith('.txt'): with open(os.path.join(dst_folder, file_name), 'r', encoding='gbk') as t: file_contents.append(t.read()) #将所有文件的内容写入汇总文档中 with open(os.path.join(dst_folder, '汇总文档.txt'), 'w', encoding='gbk') as f: f.write('\n\n'.join(file_contents)) #获取程序结束时间，计算程序运行时间 end_time = time.time() run_time = end_time - start_time print(f"程序运行时间：{run_time:.2f} 秒")

這裡是代碼，可以將匯總的TXT文件複製到另一個文件夾中後，再將其複製到指定路徑下： python import os import shutil from datetime import date import time #指定目标文件夹路径和本地路径 src_folder = r"Y...

請你幫我修改代碼，我需要將每個TXT文件的文件名稱，需要寫在每個文檔内容的後面import os import shutil from datetime import date #指定目标文件夹路径和本地路径 src_folder = r"Y:\iplas\Robot_Log\SMT" dst_folder = "D:\測試log" #获取今天的日期 today = date.today() #遍历目标文件夹中的所有文件 for file_name in os.listdir(src_folder): if file_name.endswith('.txt'): file_path = os.path.join(src_folder, file_name) if date.fromtimestamp(os.path.getmtime(file_path)) == today: shutil.copy(file_path, os.path.join(dst_folder, file_name)) file_contents = [] for file_name in os.listdir(dst_folder): if file_name.endswith('.txt'): with open(os.path.join(dst_folder, file_name), 'r', encoding='gbk') as t: file_contents.append(t.read()) with open(os.path.join(dst_folder, '汇总文档.txt'), 'w', encoding='gbk') as f: f.write('\n\n'.join(file_contents))

with open(os.path.join(dst_folder, '汇总文档.txt'), 'w', encoding='gbk') as f: f.write('\n\n'.join(file_contents)) 修改后的代码在每个文档的内容后面添加了文件名，并将其复制到目标文件夹中。在生成...

#!/usr/bin/env python2.7 # -- coding: UTF-8 -- import rospy from sensor_msgs.msg import Image from cv_bridge import CvBridge import cv2 import os from pyzbar import pyzbar def image_callback(msg): # 将ROS图像消息转换为OpenCV图像 bridge = CvBridge() frame = bridge.imgmsg_to_cv2(msg, desired_encoding='bgr8') # 执行生成文本的逻辑 image_folder_path = '/root/Pictures' output_file_name = '/root/Pictures/qr_codes_found.txt' main(image_folder_path, output_file_name) def main(image_folder_path, output_file_name): img_files = [f for f in os.listdir(image_folder_path) if f.endswith('.png')] qr_codes_found = [] print("Image files:") for img_file in img_files: print(img_file) for img_file in img_files: img_path = os.path.join(image_folder_path, img_file) img = cv2.imread(img_path) barcodes = pyzbar.decode(img) for barcode in barcodes: if barcode.type == 'QRCODE': qr_data = barcode.data.decode("utf-8") qr_codes_found.append((img_file, qr_data)) unique_qr_codes = [] for file_name, qr_content in qr_codes_found: if qr_content not in unique_qr_codes: unique_qr_codes.append(qr_content) with open(output_file_name, 'w') as f: for qr_content in unique_qr_codes: f.write("{}\n".format(qr_content)) if name == 'main': rospy.init_node('text_generation_node') # 创建一个订阅器订阅图像消息 rospy.Subscriber('processed_image', Image, image_callback) rospy.spin() 如何让这个代码生成的文本变为excel文件

要将生成的文本内容保存为 Excel 文件，您可以使用 Python 的 openpyxl 库来实现。下面是修改后的代码，可将生成的文本保存为 Excel 文件： python #!/usr/bin/env python2.7 # -*- coding: UTF-8 -*- import ...

幫我修改代碼，我還需要它的内容表名稱寫在相應内容的前面，并且每一行都要循環加上import os import shutil from datetime import date src_folder = r"Y:\iplas\Robot_Log\SMT" dst_folder = r"D:\測試log" today = date.today() # create target folder if it does not exist if not os.path.exists(dst_folder): os.makedirs(dst_folder) # copy files and rename for file_name in os.listdir(src_folder): if file_name.endswith('.txt'): file_path = os.path.join(src_folder, file_name) if date.fromtimestamp(os.path.getmtime(file_path)) == today: new_file_name = f"{today.strftime('%Y%m%d')}_{file_name}" shutil.copy(file_path, os.path.join(dst_folder, new_file_name)) # write file contents with corresponding file names file_contents = [] for file_name in os.listdir(dst_folder): if file_name.endswith('.txt'): try: with open(os.path.join(dst_folder, file_name), 'r', encoding='gbk') as t: file_content = t.read().strip() file_contents.append(f"{new_file_name[:-4]},{file_content}") except Exception as e: print(f"Error reading file {file_name}: {e}") with open(os.path.join(dst_folder, '汇总文档.txt'), 'w', encoding='gbk') as f: f.write('\n'.join(file_contents))

請確認一下，我的理解是您希望在每一行前面加上文件名稱，並將最後生成的文件名稱改為 ...with open(os.path.join(dst_folder, '汇总文档.txt'), 'w', encoding='gbk') as f: f.write('\n'.join(file_contents))

import json import os #指定原始数据集和目标路径 json_folder_path = "D:/python/pycharm/pycharm_date/Oracle/OracleCS/ce_shi_label" txt_folder_path = "D:/python/pycharm/pycharm_date/Oracle/OracleCS/labels" #获取所有json文件的路径 json_files = [os.path.join(json_folder_path, f) for f in os.listdir(json_folder_path) if f.endswith('.json')] for json_file in json_files:#打开json文件 with open(json_file, 'r', encoding='utf-8') as f:data = json.load(f) image_name = data["img_name"] + ".jpg" label_name = data["img_name"] boxes = data["ann"] #将每个矩形框转换为txt格式 txt_data = "" txt_line_1 = f"{label_name}\n" for box in boxes: x1, y1,x2, y2,class_id = str(box[0]), str(box[1]), str(box[2]),str(box[3]),str(box[4]) txt_line =f"{x1} {y1} {x2} {y2} {class_id}\n" txt_data += txt_line #写入txt文件 txt_file = os.path.join(txt_folder_path, image_name.replace(".jpg", ".txt")) with open(txt_file, 'w', encoding='utf-8') as f:f.write(txt_line_1 + txt_data)将其中json文件的名称统一放在一一个新的txt文件中

txt_file = os.path.join(txt_folder_path, image_name.replace(".jpg", ".txt")) with open(txt_file, 'w', encoding='utf-8') as f: f.write(txt_line_1 + txt_data) # 将json文件名称写入新的txt文件中 json_...

import os folder_list = ['/path/to/folder1', '/path/to/folder2', '/path/to/folder3'] for folder_path in folder_list: for sub_folder in os.listdir(folder_path): sub_folder_path = os.path.join(folder_path, sub_folder) if os.path.isdir(sub_folder_path): for file_name in os.listdir(sub_folder_path): file_path = os.path.join(sub_folder_path, file_name) if os.path.isfile(file_path): print('{}\t{}'.format(os.path.basename(os.path.dirname(folder_path)), file_name))将这个代码修改，只读取txt格式的文件

好的，以下是修改后的 Python 代码： python import os folder_list = ['/path/to/folder1...代码会遍历所有子文件夹，只读取其中的 txt 格式文件，并输出一列来显示文件属于哪个一级文件夹，只显示出一级文件夹。

如下代碼沒有將我複製的文檔匯總在一個文檔中，請修改.import os import shutil from datetime import date # 指定目标文件夹路径和本地路径 src_folder = r"Y:\iplas\Robot_Log\SMT" dst_folder = "D:\測試log" # 获取今天的日期 today = date.today() # 遍历目标文件夹中的所有文件 for file_name in os.listdir(src_folder): if file_name.endswith('.txt'): file_path = os.path.join(src_folder, file_name) if date.fromtimestamp(os.path.getmtime(file_path)) == today: # 如果是今天生成的 txt 文件，复制到本地路径 shutil.copy(file_path, os.path.join(dst_folder, file_name)) # 将本地路径中所有 txt 文件的内容汇总到一个文档 with open('汇总文档.txt', 'w', encoding='gbk') as f: for file_name in os.listdir(dst_folder): if file_name.endswith('.txt'): with open(os.path.join(dst_folder, file_name), 'r', encoding='gbk') as t: f.write(t.read())

您可以尝试如下代码，用一个列表 file_contents 来存储每个 .txt 文件的内容，最后将其一起写入到汇总文档中。 import os import shutil from datetime import date # 指定目标文件夹路径和本地路径 ...

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