# 跳过文件的前两行skip_lines=2withopen('example.txt','r')asfile:# 读取所有行lines=file.readlines()# 去掉前面几行relevant_lines=lines[skip_lines:]# 打印处理后的内容forlineinrelevant_lines:print(line.strip()) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 在这个示例中,skip_lines...
Another method to skip lines in a Python file is to use the built-innext()function. Thenext()function returns the next item from an iterator, which in this case is the file object returned by theopen()function. You can use thenext()function to skip a specific number of lines in a f...
withopen('file.txt','r')asfile:lines=file.readlines()# lines 现在是一个包含每一行文本的列表print(lines)# 输出:# ['Hello, this is line 1.\n', 'This is line 2.\n', 'And this is line 3.\n']# 访问特定行print(lines[0].strip())# 输出:Hello, this is line 1. 注意事项: 每...
my_test_file = open("io_test.txt", 'r') # content = my_test_file.read() # print(content) finally: if my_test_file: my_test_file.close() # 打开文件:第二种写法 with open('io_test.txt', 'r') as f: # print('f:', f.read() + '\t \t') lines = f.readlines() for ...
file_path='example.txt'# 写入文件withopen(file_path,'w')asfile:file.write("Hello, this is some data.") 1.2 写入CSV文件 使用csv模块来写入CSV格式的文件。 代码语言:javascript 复制 importcsv csv_file_path='example.csv'data=[['Name','Age','Occupation'],['John Doe',30,'Engineer'],['...
with open('/etc/passwd') as f: # Skip over initial comments while True: line = next(f, '') if not line.startswith('#'): break # Process remaining lines while line: # Replace with useful processing print(line, end='') line = next(f, None) ...
# 打开源文件和目标文件 with open('source.txt', 'r') as source_file, open('destination.txt', 'w') as destination_file: # 读取源文件的所有行 lines = source_file.readlines() # 跳过前N行,这里以跳过前3行为例 N = 3 for line in lines[N:]: destination_file.write(line) 在这个示例中...
= False: raise Exception("This is a soft link file. Please chack.") with open(file_path, 'r', encoding='utf-8') as fhdl: fhdl.seek(0) lines_info = fhdl.readlines() for line in lines_info: if line.startswith('TIME_SN='): sn_value = line[8:-1] elif line.startswith('...
(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, ...
file_object1.close() readlines()函数用于一次性读取整个文件并自动将文件内容分析成一个行的列表。它的使用格式示例如下: file_object2 = open("test.py",'r') try: lines = file_object2.readlines() print("type(lines)=",type(lines)) #type(lines)= <type 'list'> ...