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1、import pandas as pds1=pd.Series(62,index=x,y,z)s1import pandas as pds2=pd.Series(30,10,60,index=x,y,z)s2import pandas as pds3=pd.Series(匪警:110,火警:119,急救中心:120,交通事故:122)s3import pandas as pdimport numpy as nps4=pd.Series(np.arange(6),index=a,b,c,d,e,f)s4s3.indexs3.valuess2xs4cs2:2s20import pandas as
2、pdd1=姓名:张三,李四,王五,赵六,数学:90,75,82,93,语文:85,67,91,79,计算机:99,95,92,98df1=pd.DataFrame(d1,index=202101,202102,202103,202104)df1import pandas as pdimport numpy as npdf2=pd.DataFrame(np.arange(12).reshape(3,4),index=a,b,c)df2df1.indexdf1.columnsdf1.valuesimport numpy as npdata1=2,3,4,5#列表np1=np.array(data1
3、)np1import numpy as npdata2=(6,7,8,9)#元组np2=np.array(data2)np2import numpy as np#元组和列表混合np3=np.array(6,8,9),(5,6,7),1,2,3)np3import numpy as npnp4=np.arange(1,10,2)np4import numpy as npnp5=np.linspace(1,5,6)np5import numpy as npnp6=np.logspace(0,5,6)np6import numpy as npnp7=np.array(1,2,3,4,5,6,7,8,
4、9,0,0,0)print(秩为,np7.ndim)print(数组维度,np7.shape)print(数组元素个数,np7.size)import numpy as npnp8=np.array(1,2,3,4,5,6,7,8,9,0,0,0)np8=np8.reshape(2,6)np8import numpy as npnp9=np.array(1,2,3,4,5,6,7,8,9,0,0,0)np9=np9.flatten()np9import numpy as nparr1=np.arange(6)arr2=np.arange(6)np10=np.hstack(arr1,arr2)n
5、p11=np.vstack(arr1,arr2)print(横向合并结果,np10)print(纵向合并结果,np11)import numpy as nparr1=np.arange(6)np12=np.hsplit(arr1),3)np12import numpy as nparr1=np.arange(15).reshape(3,5)np13=np.vsplit(arr1),3)np13import numpy as nparr1=np.arange(15).reshape(3,5)np14=np.transpose(arr1)print(原数组n,arr1)print(转置后n,np14)import numpy as nparr1=np.arange(15)arr11:4import numpy as nparr1=np.arange(15).reshape(3,5)print(原多维数组n,arr1)print(多维数组切片n,arr10:2,3:5)import pandas as pdf1=pd.read_csv(./a.csv,encoding=gbk)f1import pandas as pdf2=pd.read_excel(./c.xlsx)f2