[英]How to convert JSON data into specified Pandas DataFrame
我有一個看起來像這樣的json數據:
"rows": [
["2019-08-02", 364, 209, 2, 2],
["2019-08-03", 386, 250, 2, 5],
["2019-08-04", 382, 221, 3, 1],
["2019-08-05", 361, 218, 1, 0],
["2019-08-06", 338, 205, 4, 0],
["2019-08-07", 353, 208, 2, 2],
["2019-08-08", 405, 223, 2, 2],
["2019-08-09", 405, 266, 2, 2],
["2019-08-10", 494, 288, 0, 1],
]
我想成為數據的標頭為(不包含在JSON文件中)為
["day", "estimatedPeopleVisited", "bought", "gives_pfeedback", "gives_nfeedback"]
我嘗試使用以下代碼讀取文件:
f = pd.read_json("data1308.json")
print(f)
這給出了如下輸出:
rows
0 [2019-08-02, 364, 209, 2, 2]
1 [2019-08-03, 386, 250, 2, 5]
2 [2019-08-04, 382, 221, 3, 1]
3 [2019-08-05, 361, 218, 1, 0]
4 [2019-08-06, 338, 205, 4, 0]
5 [2019-08-07, 353, 208, 2, 2]
6 [2019-08-08, 405, 223, 2, 2]
7 [2019-08-09, 405, 266, 2, 2]
8 [2019-08-10, 494, 288, 0, 1]
我期望輸出形式為:
day est bought gives_pfeedback gives_nfeedback
0 2019-08-02 364 209 2 2
1 2019-08-03 386 250 2 5
2 2019-08-04 382 221 3 1
3 2019-08-05 361 218 1 0
4 2019-08-06 338 205 4 0
. . . . . .
. . . . . .
. . . . . .
在讀取為問題集格式后,可以按指定的格式轉換數據,但是,有什么方法可以直接讀取指定格式的JSON數據?
那這個呢?
import pandas as pd
data = {"rows": [
["2019-08-02", 364, 209, 2, 2],
["2019-08-03", 386, 250, 2, 5],
["2019-08-04", 382, 221, 3, 1],
["2019-08-05", 361, 218, 1, 0],
["2019-08-06", 338, 205, 4, 0],
["2019-08-07", 353, 208, 2, 2],
["2019-08-08", 405, 223, 2, 2],
["2019-08-09", 405, 266, 2, 2],
["2019-08-10", 494, 288, 0, 1],
]}
cols = ["day", "estimatedPeopleVisited", "bought", "gives_pfeedback", "gives_nfeedback"]
df = pd.DataFrame.from_dict(data["rows"])
df.columns = cols
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