大数据 | 数据清洗（pd第五套）
import pandas as pd
import numpy as np
import os
p = os.getcwd()
print(p)
src_file = f"{p}/src/distribution.csv"
srcdf = pd.read_csv(src_file)
sums =
大数据 | Index
未读
大数据 | Hadoop 搭建
本文转载自 QingYingX's Blog： 原文地址 关闭防火墙&SELinux 防火墙 systemctl status firewalld 查看防火墙状态 systemctl stop firewalld 关闭防火墙 systemctl disable firewalld
CCF | Gradio智能体搭建
示例代码 import gradio as gr
import requests, json
url = "http://172.16.115.91:11434/api/generate"
def main(prompt, history):
advisor_data = {
CCF | 数据标注
示例代码 import csv
import random
import pandas as pd
import numpy as np
china_regions = {
"华北地区": {
"北京市": ["朝阳区", "海淀区", "西城区", "东城区", "丰台
CCF | 数据去重
示例代码 import csv
import pandas as pd
import numpy as np
csv_file = "data.csv"
df = pd.read_csv(csv_file)
df_no_duplicated = df.drop_duplicates(
CCF | 可视化-词云图
示例代码 import pandas as pd
import numpy as np
from pyecharts import options as opts
from pyecharts.charts import WordCloud
inputfile = "data_m2_t1_s2.
CCF | 可视化-中国地图
示例代码 import pandas as pd
import numpy as np
from pyecharts import options as opts
from pyecharts.charts import Map
inputfile = "data_m2_t1_s2.csv"
ou
CCF | Docker Network
前情提要 ❕本教程已默认你已经做好三台机器的免密登录 ❕本教程已默认你的虚拟机拥有外部网络访问权限 ❕本教程已默认你对 Docker Network 拥有基础认知 ❕本教程已默认你已关闭虚拟机的防火墙 ❕本教程不能在 NAT 模式下使用 ❕本教程的虚拟机使用 Bridge 桥模式
CCF | Python HDFS 编程
示例程序 from hdfs import InsecureClient
from collections import defaultdict
hdurl = "http://172.16.115.212:50070"
hduser = "root"
def createcli() -> In
CCF | Py&Docker on CentOS7.9 离线部署
此文章将介绍 CCF比赛 在离线模式安装Python3.10和Docker容器 Python3.10安装 Python3.10.tar.gz: (网盘) (
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