基于python的数据可视化02学习笔记（待更）

一、numpy
1、数据分析

import numpy as np

data = np.mat([[1, 200, 105, 3, False],
               [2, 165, 80, 2, False],
               [3, 184, 5, 120, 2, False],
               [4, 116, 70, 8, 1, False],
               [5, 270, 150, 4, True]])

print(print(data[0, 2]))
print(data[0, 4])
print(data)
row = 0
for line in data:
    row += 1
print(row)
print(data.size)

2、基于统计分析的数据处理

import numpy as np

data = np.mat([[1, 200, 105, 3, False],
               [2, 165, 80, 2, False],
               [3, 184, 5, 120, 2, False],
               [4, 116, 70, 8, 1, False],
               [5, 270, 150, 4, True]])
coll = []
for row in data:
    coll.append(row[0, 1])
print(coll)
# 分别依次计算数据集的和、均值、标准值、方差
print(np.sum(coll))
print(np.mean(coll))
print(np.std(coll))
print(np.var(coll))