Homework Submission 2017-07-06: Lecture 1, Python Data Analysis

[Guo-Zhang]

Please submit your homework for Lecture 1 of Python Data Analysis on 2017-07-06 here.

[AM-GM-LM-PM]

Member List:
√ Li Liu
√ Yuyang Li
√ Xingyu Zhu
√ Zedong Hao
√ Hao Jiang
Weiran Li
√ Hanlin Tang
Zhiruo Wang
Tian Xie
√ Zhongxin Yue
Yilin Zhang
√ Yunfeng Zhou
√ Jianwei Zhuang

[AustinJiangH]

import numpy as np 
import pandas as pd 

# 二项分布数组
arr = np.random.binomial(1, 0.5, size = (26,4))

# 大于0.5的数字
arr2 = arr[arr>0.5]

# 转化为dataframe
letters = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
df = pd.DataFrame(arr, index = letters, columns = ['one','two','three','four'])

# 按照two的降序排列 取前五个
df2 = df.sort_values(['two'], ascending = False).iloc[0:5,:]

# 取 one 列
one = df['one']
oneMean = one.mean()
oneSum = one.sum()
oneMid = one.median()
oneVar = one.var()

[Guo-Zhang]

@AustinJiangH Very good! Try to use Pythonic way to get 26 letters. You can try string standard package in Python.

[AM-GM-LM-PM]

https://github.com/AM-GM-LM-PM/homework_dataanalysis
Li Liu

[Yuyang-Li]

https://github.com/Yuyang-Li/training

[yuezhongxincpp]

https://github.com/yuezhongxincpp/small-demo/blob/master/yuezhongixn.ipynb

[felixglory]

Xingyu Zhu
https://github.com/felixglory/assignments_SU_semester

[sinnfashen]

Hanlin Tang
https://github.com/sinnfashen/course/blob/master/homework1.ipynb

[zhouyunfengcpp]

https://github.com/zhouyunfengcpp/CPPHomework/blob/master/Homework2----%E5%91%A8%E9%9F%B5%E4%B8%B0.ipynb

[zhuangjianwei]

https://github.com/zhuangjianwei/1/blob/master/Homework---1.ipynb

[ZedongHao]

Zedong HAO
https://github.com/ZedongHao/Assignment/blob/master/Assignment_1_ZedongHao