03 2021 档案
摘要：声明：代码仅作学习交流用途，代码分享者与创作者不承担任何由他人恶意运行而导致的责任，勿擅自修改限制频率的参数，勿恶意攻击网页，请学习浏览者遵守社会公德与法律秩序，爬虫导致的网页崩溃等损失由计算机操作者负全部责任，造成严重后果的需要承担刑事责任 爬虫代写：邮箱 leon_leon@yeah.net i
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摘要：import pandas as pd import numpy as np from scipy.interpolate import lagrange pd.set_option('display.max_columns', None) pd.set_option('display.max_ro
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摘要：插值法应用广泛，电影补帧可以用到，提升流畅度等应用，仅介绍调用方式 from scipy.interpolate import lagrange import pandas as pd import numpy as np df=pd.DataFrame(data=[0,np.nan,np.nan,
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摘要：#筛选用 import pandas as pd import numpy as np import re #pd.options.display.max_columns = None pd.set_option('display.max_columns', None) pd.set_option(
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摘要：import pandas as pd import numpy as np pd.set_option('display.max_columns', None) pd.set_option('display.max_rows', None) dataf = pd.read_excel(r'C:\U
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摘要：参考： https://jingyan.baidu.com/article/380abd0a032e681d91192c74.html Sub SaveToCSVs() Dim fDir As String Dim wB As Workbook Dim wS As Worksheet Dim fPa
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摘要：import pandas as pd result_0 = pd.read_csv('2006年污染.csv',encoding = 'GBK') result = result_0 for i in range(2007,2019): result_1 = pd.read_csv('{}年污染.
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摘要：供大家随时查阅 import pandas as pd import numpy as np import re #pd.options.display.max_columns = None pd.set_option('display.max_columns', None) pd.set_opti
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摘要：import os import pandas as pd path = r'C:\\Users...' excelFile = os.path.join(path,'文件名') data = pd.read_excel(excelFile) https://blog.csdn.net/qq_265
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