数据获取_json文件读取和存储

什么是JSON文件？

JSON数据是一种轻量级得数据交换格式，因起简洁和清晰得层次结构使JSON成为理想的数据交换语言。

import pandas as pd
import numpy as np
import os

os.chdir(r'E:\python_learn\train')  # 相对路径

json文件读取 → pd.read_json

read_json读取json文件后，返回DataFrame，是一个index标签乱序的顺序，可以用sort_index对其重新排序

file_name = 'eueo2012.json'
json = pd.read_json(file_name)
json.head()

	Team	Goals	Shots on target	Shots off target	Shooting Accuracy	% Goals-to-shots	Total shots (inc. Blocked)	Hit Woodwork	Penalty goals	Penalties not scored	...	Saves made	Saves-to-shots ratio	Fouls Won	Fouls Conceded	Offsides	Yellow Cards	Red Cards	Subs on	Subs off	Players Used
0	Croatia	4	13	12	51.9%	16.0%	32	0	0	0	...	13	81.3%	41	62	2	9	0	9	9	16
1	Czech Republic	4	13	18	41.9%	12.9%	39	0	0	0	...	9	60.1%	53	73	8	7	0	11	11	19
10	Portugal	6	22	42	34.3%	9.3%	82	6	0	0	...	10	71.5%	73	90	10	12	0	14	14	16
11	Republic of Ireland	1	7	12	36.8%	5.2%	28	0	0	0	...	17	65.4%	43	51	11	6	1	10	10	17
12	Russia	5	9	31	22.5%	12.5%	59	2	0	0	...	10	77.0%	34	43	4	6	0	7	7	16

5 rows × 35 columns

# index排序
json = json.sort_index()
json.head()

	Team	Goals	Shots on target	Shots off target	Shooting Accuracy	% Goals-to-shots	Total shots (inc. Blocked)	Hit Woodwork	Penalty goals	Penalties not scored	...	Saves made	Saves-to-shots ratio	Fouls Won	Fouls Conceded	Offsides	Yellow Cards	Red Cards	Subs on	Subs off	Players Used
0	Croatia	4	13	12	51.9%	16.0%	32	0	0	0	...	13	81.3%	41	62	2	9	0	9	9	16
1	Czech Republic	4	13	18	41.9%	12.9%	39	0	0	0	...	9	60.1%	53	73	8	7	0	11	11	19
2	Denmark	4	10	10	50.0%	20.0%	27	1	0	0	...	10	66.7%	25	38	8	4	0	7	7	15
3	England	5	11	18	50.0%	17.2%	40	0	0	0	...	22	88.1%	43	45	6	5	0	11	11	16
4	France	3	22	24	37.9%	6.5%	65	1	0	0	...	6	54.6%	36	51	5	6	0	11	11	19

5 rows × 35 columns

存储为JSON文件 → to_json

# 创建数据
df = pd.DataFrame(np.random.rand(5,6),columns=list('ABCDEF'))
print(df.head())

          A         B         C         D         E         F
0  0.849306  0.678014  0.348948  0.948653  0.868043  0.315411
1  0.321510  0.264775  0.356553  0.343864  0.200426  0.608816
2  0.771197  0.326742  0.497303  0.138062  0.528672  0.044052
3  0.319267  0.641123  0.154185  0.257138  0.119991  0.623622
4  0.191081  0.329389  0.282885  0.875474  0.329627  0.638168

# 存储为json文件
df.to_json('json_out.json')
print('存储完成！')

存储完成！