在Python中,我们可以使用内置的文件读取函数来将文件分割成多个小块。 defread_file_in_chunks(file_path,chunk_size=1024):"""按块读取文件内容"""withopen(file_path,'rb')asf:# 以二进制模式打开文件whileTrue:chunk=f.read(chunk_size)# 读取固定大小的块ifnotchunk:# 如果没有更多数据,退出循环breakyie...
My first big data tip for python is learning how to break your files into smaller units (or chunks) in a manner that you can make use of multiple processors. Let’s start with the simplest way to read a file in python. withopen("input.txt")asf:data= f.readlines()for lineindata:pr...
for piece in read_in_chunks(f): process_data(piece) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. Read a file in chunks in Python This article is just to demonstrate how to read a file in chunks rather than all at once. This is useful for a number of cases, such as...
My first big data tip for python is learning how to break your files into smaller units (or chunks) in a manner that you can make use of multiple processors. Let’s start with the simplest way to read a file in python. withopen("input.txt")asf:data= f.readlines()for lineindata:pr...
for line in f.readlines(): process(line) # 分块读取 处理大文件是很容易想到的就是将大文件分割成若干小文件处理,处理完每个小文件后释放该部分内存。这里用了iter 和 yield: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 def read_in_chunks(filePath, chunk_size=1024*1024): """ Lazy functio...
处理大文件是很容易想到的就是将大文件分割成若干小文件处理,处理完每个小文件后释放该部分内存。案例脚本如下: # -*- encoding: utf-8 -*-defread_in_chunks(file_path, chunk_size=1024*1024):"""按块读取文本 一个接一个地读取文件的懒惰函数(生成器)。
代码运行次数:0 运行 AI代码解释 withopen("huge_log.txt","r")asfile:whileTrue:chunk=file.read(4096)# Readinchunksifnot chunk:break# Process the chunk 以块为单位,而不是以字节为单位思考尽量减少前往 "仓库" 的次数,这将带来巨大的不同。
read_csv( 'large.csv', chunksize=chunksize, dtype=dtype_map ) # # 然后每个chunk进行一些压缩内存的操作,比如全都转成sparse类型 # string类型比如,学历,可以转化成sparse的category变量,可以省很多内存 sdf = pd.concat( chunk.to_sparse(fill_value=0.0) for chunk in chunks ) #很稀疏有可能可以装的...
def read_large_file_in_chunks(file_path, chunk_size=1024): with open(file_path, 'r') ...
""" def read_chunks(fhdl): """read chunks""" chunk = fhdl.read(8096) while chunk: yield chunk chunk = fhdl.read(8096) else: fhdl.seek(0) if not isinstance(file_path, str): logging.error("File path is invalid.") return ERR, "" file_name = os.path.basename(file_path) ...