使用 pandas 讀取 JSON 文件

Question

我正在嘗試將 JSON 文件轉換為數據框，並在最后將其保存到 CSV 文件中。 好吧，我可以使用 Jupyter 或 Colab 來做到這一點，但是當我嘗試使用本地 python 編譯器時，我遇到了很多錯誤。

這是我在 Colab 上工作的代碼

import pandas as pd
import datetime

# reading json file
df = pd.read_json(path_or_buf=CONFIG_PROPERTIES)

# normalizing json file
df_items_normalized = pd.json_normalize(data=df.orders, sep='_', record_path='items', meta=['error', 'file','order_id'])

# define parameters to save in csv
today = datetime.datetime.today().strftime('%Y_%m_%d')
path = "/output/pedidos_weedu_" + today + ".csv"

# saving to csv
df_items_normalized.to_csv(path, index=False)

這是我嘗試通過 Pycharm 時的代碼

import pandas as pd
import datetime
import json
import os

CWD = os.getcwd()
JSON_CONFIG_FILE_PATH = '%s/%s' % (CWD, '12-11-2021.json')

CONFIG_PROPERTIES = {}

try:
    with open(JSON_CONFIG_FILE_PATH) as data_file:
        CONFIG_PROPERTIES = json.load(data_file)
except IOError as e:
    print(e)
    print('IOError: Unable to open config.json.')
    exit(1)

print(CONFIG_PROPERTIES)

# reading json file
df = pd.read_json(path_or_buf=CONFIG_PROPERTIES)

# normalizing json file
df_items_normalized = pd.json_normalize(data=df.orders, sep='_', record_path='items', meta=['error', 'file','order_id'])

# define parameters to save in csv
today = datetime.datetime.today().strftime('%Y_%m_%d')
path = "/output/pedidos_weedu_" + today + ".csv"

# saving to csv
df_items_normalized.to_csv(path, index=False)

這是我正在處理的JSON文件

Answer 1

我稍微更改了您的代碼：

import pandas as pd
import datetime
import json
import os
from pandas.io.json import json_normalize as jn

CWD = os.getcwd()
JSON_CONFIG_FILE_PATH = "%s/%s" % (CWD, "12-11-2021.json")

print(JSON_CONFIG_FILE_PATH)
CONFIG_PROPERTIES = {}

try:
    with open(JSON_CONFIG_FILE_PATH) as data_file:
        CONFIG_PROPERTIES = json.load(data_file)
except IOError as e:
    print(e)
    print("IOError: Unable to open config.json.")
    exit(1)
print(CONFIG_PROPERTIES)

df = pd.read_json(path_or_buf=JSON_CONFIG_FILE_PATH)
df_items_normalized = jn(
    data=df.orders, sep="_", record_path="items", meta=["error", "file", "order_id"]
)

# define parameters to save in csv
today = datetime.datetime.today().strftime("%Y_%m_%d")
path = "./" + today + ".csv"

# saving to csv
df_items_normalized.to_csv(path, index=False)

此行from pandas.io.json import json_normalize as jn from this answer 。

我真的不明白為什么這個答案得到了否定點！