python - 如何使用 pandas 将 Excel 文件转换为 json？

Question

我想解析包含几张表的 Excel 文件并将数据保存在 JSON 文件中。

我不想解析第一张和第二张，以及最后一张。我想解析中间的那些，并且工作表的数量并不总是相等，并且这些工作表的名称并不总是相同。

import pandas
import json

# Read excel document
excel_data_df = pandas.read_excel('data.xlsx', sheet_name='sheet1')

有没有办法不放这个参数sheet_name？

# Convert excel to string 
# (define orientation of document in this case from up to down)
thisisjson = excel_data_df.to_json(orient='records')

# Print out the result
print('Excel Sheet to JSON:\n', thisisjson)

# Make the string into a list to be able to input in to a JSON-file
thisisjson_dict = json.loads(thisisjson)

# Define file to write to and 'w' for write option -> json.dump() 
# defining the list to write from and file to write to
with open('data.json', 'w') as json_file:
    json.dump(thisisjson_dict, json_file)

Answer 1

我只会创建一个工作表级别的字典并循环遍历每个工作表。像这样的事情:

import pandas
import json

sheets = ['sheet1','sheet2','sheet3']
output = dict()
# Read excel document
for sheet in sheets:
    excel_data_df = pandas.read_excel('data.xlsx', sheet_name=sheet)

# Convert excel to string 
# (define orientation of document in this case from up to down)
    thisisjson = excel_data_df.to_json(orient='records')
    
# Print out the result
    print('Excel Sheet to JSON:\n', thisisjson)

# Make the string into a list to be able to input in to a JSON-file
    thisisjson_dict = json.loads(thisisjson)
    output[sheet] = thisisjson_dict
# Define file to write to and 'w' for write option -> json.dump() 
# defining the list to write from and file to write to
    with open('data.json', 'w') as json_file:
        json.dump(output, json_file)