qq_28972011的博客

import pandas as pdimport numpy as npimport datetimeGitHub代码链接先给数据都加上以月为单位的时间indextimes = pd.date_range(periods=165, freq='M', end='2020/5')times = times.to_list()times.reverse()times =pd.to_datetime(times)times = times.strftime('%Y-%m')df =

import pandas as pdimport numpy as npfrom matplotlib import pyplot as plt一、加载数据并把时间字符串转为时间类型设置为索引df = pd.read_csv("./911.csv")df["timeStamp"] = pd.to_datetime(df["timeStamp"])二、添加列，表示分类temp_list = df["title"].str.split(": ").tolist()cate_list = [

import pandas as pdimport numpy as npfrom matplotlib import pyplot as plt一、加载数据df = pd.read_csv("./911.csv")df["timeStamp"] = pd.to_datetime(df["timeStamp"])print(type(df["timeStamp"]))df.set_index("timeStamp", inplace=True)df.head(3)<class '

import pandas as pdimport numpy as np一、加载数据df = pd.read_csv(r"911.csv")df.head(3) lat lng desc zip title timeStamp twp addr e 0 40.297876 -75.58

import pandas as pdimport numpy as npimport matplotlib.pyplot as plt一、加载数据bj = pd.read_csv(r"PM2.5\BeijingPM20100101_20151231.csv")cd = pd.read_csv(r"PM2.5\ChengduPM20100101_20151231.csv")gz = pd.read_csv(r"PM2.5\GuangzhouPM20100101_20151231.csv")s

import pandas as pdfrom matplotlib import pyplot as pltfile_path = "./PM2.5/BeijingPM20100101_20151231.csv"df = pd.read_csv(file_path)df.head(5) No year month day hour season PM_Dongsi

今天做排队论作业，要求解一个超定方程组，我本来以为直接用sympy库的linsolve()函数一部搞定就行了，结果求不出来，我估计是因为误差的原因import numpy as npfrom sympy import *A = np.array([[-0.75, 0.25, 0, 0], [0.2, -0.8, 0.25, 0], [0.12, 0.12, -0.8, 0.25], [0.43, 0.43, 0.55, -

import pandas as pdimport numpy as npimport matplotlib.pyplot as pltfrom matplotlib import font_managerfile_path = r"C:\Users\Administrator\Desktop\data analysis\附件：获奖学生名单.xlsx"df = pd.read_excel(file_path, header=1, sheet_name=0)myfont = font_manag