13-numpy筆記-莫煩pandas-1
阿新 • • 發佈:2018-09-07
array col 筆記 true scribe times 會計 nump .data
import pandas as pd import numpy as np s = pd.Series([1,3,6,np.nan, 44,1]) print(s) dates = pd.date_range(‘20160101‘, periods=6) print(dates) # index 是行的key; 默認就是數字 df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=[‘a‘,‘b‘,‘c‘,‘d‘]) print(df) df1 = pd.DataFrame(np.arange(12).reshape((3,4))) print(df1) df2 = pd.DataFrame({‘A‘:1., ‘B‘:pd.Timestamp(‘20130102‘), ‘C‘:pd.Series(1,index=list(range(4)), dtype = ‘float32‘), ‘D‘:np.array([3]*4,dtype=‘int32‘), ‘E‘:pd.Categorical(["test","train","test","train"]), ‘F‘:‘foo‘}) print(df2) print(df2.dtypes) print(df2.index) print(df2.columns) print(df2.values) #只會計算數字串 print(df2.describe()) print(df2.T) # 對 ABCD排序 print(df2.sort_index(axis=1, ascending=False)) # 對123排序 print(df2.sort_index(axis=0, ascending=False)) print(df2.sort_values(by=‘E‘))
13-numpy筆記-莫煩pandas-1