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 =
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 | 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) (
