随笔分类 - python
摘要：1.socket_service import socket import threading import struct import os def socket_service(ipv4,port,stat): #ipv4为IP地址，port为端口，stat可选择"send"或"recive"(
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摘要：gam的应用详细介绍 https://blog.csdn.net/qq_35591253/article/details/130938485
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摘要：#导入必要的库 import numpy as np import pandas as pd from sklearn.ensemble import RandomForestRegressor #读取数据 data = data_all1 #找出所有缺失值所在的行和列 nan_rows,nan_c
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摘要：并列柱形图的绘制 import matplotlib.pyplot as plt plt.style.use('seaborn-whitegrid') plt.rcParams['font.sans-serif']=['SimHei'] plt.rcParams['font.sans-serif']
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摘要：绘制并列图的代码 import matplotlib.pyplot as plt plt.style.use('seaborn-whitegrid') plt.rcParams['font.sans-serif']=['SimHei'] plt.rcParams['axes.unicode_minu
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摘要：err_inter = result.conf_int() #置信区间的中心 err_mean = (err_inter[1]+err_inter[0])/2 # 置信区间的长度 err_long = (err_inter[1]-err_inter[0])/2 #置信区间画图 import matp
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摘要：import matplotlib.pyplot as plt plt.style.use('seaborn-whitegrid') plt.rcParams['font.sans-serif']=['SimHei'] plt.rcParams['axes.unicode_minus'] = Fal
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摘要：import pandas as pd import os import openpyxl path = './2006城市年鉴.xlsx' excel = openpyxl.load_workbook(path) length = len(excel.sheetnames) book_1 = pd
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摘要：import os import pandas as pd import re path = './编码文件' files = os.listdir(path) code = pd.read_excel('./文件名与编码文件/编码和名称.xlsx',sheet_name=0) code 2009年
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摘要：import os import pandas as pd import re path = './编码文件' files = os.listdir(path) code = pd.read_excel('./文件名与编码文件/编码和名称.xlsx',sheet_name=0) code for f
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摘要：来源https://www.cnblogs.com/tianqizhi/p/10612976.html 1.背景主题、字体大小设置 安装Jupyter主题： pip install jupyterthemes -i https://mirrors.aliyun.com/pypi/simple 然后，
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摘要：动图折线展示： import numpy as np import matplotlib.pyplot as plt plt.ion() plt.figure(1) t_list = [] result_list = [] t = 0 while True: if t >= 10 * np.pi:
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摘要：import matplotlib.pyplot as plt import numpy as np import pandas as pd plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签 plt.rcParams['axes.unico
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摘要：不能用 import zipfile from tqdm import tqdm import itertools as it def extractFile(zipFile, password): try: zipFile.extractall(pwd= bytes(password, "utf8
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摘要：dir = os.listdir('C:\\Users\Admin\Documents\\vscode\PDF\\中国渔业统计年鉴') for i in dir: pdir=os.listdir('C:\\Users\Admin\Documents\\vscode\PDF\\中国渔业统计年鉴\\{0
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摘要：# pip install pdf2docx #安装依赖库 from pdf2docx import Converter pdf_file = r'C:\Users\Administrator\Desktop\新建文件夹\mednine.pdf' docx_file = r'C:\Users\Adm
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摘要：import pandas as pd import numpy as np pd.options.display.max_columns = None p_df = pd.read_excel('产量.xlsx') p_ratio = pd.read_excel('养殖配比.xls') xunib
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摘要：import pandas as pd pd.options.display.max_columns = None data = pd.read_csv(r'总.csv',encoding='utf-8') # DM_MCI DM_MCI = data.iloc[0:22,:].describe()
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摘要：pandas的基础操作进行数值计算 import pandas as pd import numpy as np pd.options.display.max_columns = None p_df = pd.read_excel('产量.xlsx') p_ratio = pd.read_excel
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摘要：入门资源 https://www.bilibili.com/video/BV1RK4y1H7he/
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