numpy小练习

1、介绍了NumPy的基础内容，主要包括数组及其索引、数组运算、数组读/写以及常用的统计与分析方法

# 1、导入模块
import numpy as np
import csv

# 2、获取数据
xiaoqu_data = []
with open('./xiaoqu_data/1xiaoqu_shijiazhuang2.csv','rt',encoding='UTF-8') as csvfile:
    # 使用csv.renader读取csvfile中的文件
    csv_reader = csv.reader(csvfile)
    # 读取第一行各列的标题
    xiaoqu_header = next(csv_reader)
    # 将csv文件中的数据保存到birth_data中
    for row in csv_reader:
        xiaoqu_data.append(row)
# print(xiaoqu_data)

# 3、数据清理：去掉索引号
xiaoqu_list = []
for row in xiaoqu_data:
    xiaoqu_list.append(tuple(row[1:]))
# print(xiaoqu_list)

# 4、数据统计
# 1）创建数据类型
datatype = np.dtype([("name", np.str_,40),
                     ("guanzhu", np.str_,40),
                     ("junjia", np.str_,40),
                     ("leixing", np.str_,40),
                     ("wuyefei", np.str_,40),
                     ("company", np.str_,40),
                     ("kaifa", np.str_,40),
                     ("loudong", np.str_,40),
                     ("fangwu", np.str_,40)])
# print(datatype)

# 2）创建二维数组
xiaoqu_data = np.array(xiaoqu_list, dtype=datatype)
# print(xiaoqu_data)

# 3）将待处理数据类型转化为int类型
guanzhu = xiaoqu_data["guanzhu"].astype(float)
print(guanzhu)

# 4）排序
sort1 = np.sort(guanzhu)
print(sort1)

# 5）数据去重
unique1 = np.unique(guanzhu)
print(unique1)

# 6）对指定列求和、均值、标准差、方差、最小值、最大值
print(np.sum(guanzhu))
print(np.mean(guanzhu))
print(np.std(guanzhu))
print(np.var(guanzhu))
print(np.min(guanzhu))
print(np.max(guanzhu))