# -*- coding: utf-8 -*-

import pandas as pd

from pandas import Series, DataFrame

import numpy as np

a=[98,83,65,72,79,76,75,94,91,77,63,83,89,69,64,78,63,86,91,72,71,72,70,80,65,70,62,74,71,76]

mean(a)

mean(np.sort(a)[14:16])

np.sort(a)

#求眾數(shù)的函數(shù)

def get_mode(arr):

mode = [];

arr_appear = dict((a, arr.count(a)) for a in arr); ?# 統(tǒng)計(jì)各個(gè)元素出現(xiàn)的次數(shù)

if max(arr_appear.values()) == 1: ?# 如果最大的出現(xiàn)為1

return; ?# 則沒(méi)有眾數(shù)

else:

for k, v in arr_appear.items(): ?# 否則，出現(xiàn)次數(shù)最大的數(shù)字，就是眾數(shù)

if v == max(arr_appear.values()):

mode.append(k);

return mode;

get_mode(a)

var(a)

std(a)

a=Series(a)

a.skew()

a.kurt()

a.describe()

df = DataFrame({'data1' : np.random.randn(5),

'data2' : np.random.randn(5)})

df.cov()

df.corr()

###假設(shè)檢驗(yàn)

from scipy import stats as ss

df=DataFrame({'data':[10.1,10,9.8,10.5,9.7,10.1,9.9,10.2,10.3,9.9]})

ss.ttest_1samp(a = df, popmean = 10)