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下...
writerRef="Please refer to the %s document:\n https://github.com/alibaba/DataX/blob/master/%s/doc/%s.md \n"%(writer,writer,writer) print(readerRef) print(writerRef) jobGuid='Please save the following configuration as a json file and use\n python {DATAX_HOME}/bin/datax.py {JSON_FI...
<h1 style ='color:orange;'> Welcome to Web Scraping </h1> Links: <a href="https://www.google.com"style ='color:red;'> Google </a> <aclass='classOne'href="https://www.yahoo.com"> Yahoo </a> <aid='idOne'href="https://www.wikipedia.org"style ='color:blue;'> Wikipedia </...
>>> s=socket(AF_INET,SOCK_STREAM) >>> s.bind(('127.0.0.1',44444)) >>> s.listen(1) >>> q,v=s.accept() #返回socket q和地址v 注意:上面的代码将一直处于等待直到连接被建立。下面我们再打开另一个Python解释器,用作客户端;然后键入如下代码: >>> from socket import * >>> s=socket(AF...
在Python中读取application/octet-stream可以使用以下步骤: 1. 导入必要的库: ```python import requests ``` 2. 发起HTTP请求并获...
df = pd.read_csv("iris.csv", sep=',', names=["A","B","C","D"], nrows=2, # 只要前两行的数据 encoding='utf-8' ) df = pd.read_excel("iris.xlsx", sheetname='XXXX', header=0, # 指定第一行为表头 index_col=0, # 指定第一列为索引 ...
streamlit:Streamlit • A faster way to build and share data apps doc:https://docs.streamlit.io/ 安装 pip install streamlit 启动 streamlit hello 启动后输出 C:\Users\Honor\Desktop\workspace\python\streamlit> streamlit hello Welcome to Streamlit!
套接字是模块 socket 中 socket 类的实例。实例化套接字最多可指定三个参数:一个地址族(默认为 socket.AF_INET);是流套接字(socket.SOCK_STREAM,默认设置)还是数据报套接字(socket.SOCK_DGRAM);协议(使用默认值 0 就好)。创建普通套接字时,不用提供任何参数。
Stream Processing faust - A stream processing library, porting the ideas from Kafka Streams to Python. streamparse - Run Python code against real-time streams of data via Apache Storm. Distribution Libraries to create packaged executables for release distribution. py2app - Freezes Python scripts (...
import logging app = func.FunctionApp() @app.route(route="req") @app.read_blob(arg_name="obj", path="samples/{id}", connection="STORAGE_CONNECTION_STRING") def main(req: func.HttpRequest, obj: func.InputStream): logging.info(f'Python HTTP-triggered function processed: {obj.read()}'...