1,将字典以json格式写入到文件中 def jsonWrite(infoData,jsonFile): with open(jsonFile, 'w', encoding='utf-8') as jsonhandle: jsoncontent = json.dumps(infoData, indent=4) jsonhandle.write(jsoncontent) 1. 2. 3. 4. 如果json中含有中文,这样显示出来就是 一堆的\u开头的数字,json文件含有中...
from pyspark.sql import SparkSession import pyspark.pandas as ps spark = SparkSession.builder.appName('testpyspark').getOrCreate() ps_data = ps.read_csv(data_file, names=header_name) 运行apply函数,记录耗时: for col in ps_data.columns: ps_data[col] = ps_data[col].apply(apply_md5) ...
def _load_items(): global _items if os.path.exists("items.json"): f = open("items.json", "r") _items = json.loads(f.read()) f.close() else: _items = [] 请注意,我们将库存物品列表存储在名为items.json的文件中,并且我们正在使用json模块将_items列表从文本文件转换为 Python 列表。提...
['hello matsuri','hello koishi','hello matsuri','hello marisa']# 从 HDFS 上读取,格式为 "hdfs://ip:port/文件路径",port 就是 HDFS 集群的 NameNode 端口# 注意格式:"...//girl.txt" 和 ".../girl.txt" 都是合法的>>>rdd2 = sc.textFile("hdfs://satori001:9000//girl.txt",4)>>>r...
) connect(database[, timeout, isolation_level, detect_types, factory]) Opens a connection to the SQLite database file *database*. You can use ":memory:" to open a database connection to a database that resides in RAM instead of on disk. ### help(pd.read_sql) #输出 Help on funct...
``` # Python script to count words in a text file def count_words(file_path): with open(file_path, 'r') as f: text = f.read() word_count = len(text.split()) return word_count ``` 说明: 此Python脚本读取一个文本文件并计算它包含的单词数。它可用于快速分析文本文档的内容或跟踪写作...
```# Python script to count words in a text filedef count_words(file_path):with open(file_path, 'r') as f:text = f.read()word_count = len(text.split())return word_count``` 说明: 此Python脚本读取一个文本文件并计算...
# -*- coding: utf-8 -*-# @File : demo.py# @author: Flyme awei# @email : 1071505897@qq.com# @Time : 2022/8/2 13:40# 单行注释'''多行注释'''"""多行注释""" 2.1.3 续行符 Python程序是逐行编写的,每行代码长度并无限制,但从程序员角度,单行代码太长并不利于阅读。这个时候...
python-jwt：一个用来生成和验证 JSON Web 令牌的模块。python-jose：python 版 JOSE 实现。7.构建工具...
read_csv : Load a CSV file into a DataFrame. to_excel : Write DataFrame to an Excel file. Examples --- >>> df = pd.DataFrame({'name': ['Raphael', 'Donatello'], ... 'mask': ['red', 'purple'], ... 'weapon': ['sai', 'bo staff']}) >>> df.to_csv(index=False) '...