Как сравнить файл XLS с файлом json? - PullRequest
1 голос
/ 14 февраля 2020

Здравствуйте, у меня есть задача сравнить некоторые XLS-файлы с json файлами. У меня есть рабочий код, но l oop сравнивает только первую строку из xls, но не go со следующей.

def verify_xlsx_file_content_against_json(json, xlsx_path):

    found_configs_ct = 0
    xlsx_reader = XLSXReader()
    data_frame = xlsx_reader.read_xlsx(xlsx_path, "Configuration Set")
    for config in json_definition:
        items_compared = 0
        for item in config["content"]["items"]:
            for index, row in data_frame.iterrows():
                if config["segAlias"] == row["Seg Alias"] and item["itemsOrder"] == row["Items Order"]:
                    found_configs_ct += 1
                    if index == 0:
                        def_platforms = config["platforms"]
                        platforms = ["gp", "ios", "win32", "fb", "amazon"]
                        for platform in platforms:
                            if platform in def_platforms:
                                assert_equal_values(row[convert_def_platform_to_excel_platform_name(platform)], "Y","{" + platform + "} should be True! and is not.")
                            else:
                                assert_equal_values(row[convert_def_platform_to_excel_platform_name(platform)], "N","{" + platform + "} should be False! and is not.")
                        name_from_definition = config["content"]["items"][0]["name"]  # all items have the same name thus index 0 is sufficient
                        assert_equal_values(row["Name"], name_from_definition, "Content name is invalid")
                    Logger.LogInfo(str(item["identifier"]) + ' identifier')
                    Logger.LogInfo(str(row["Identifier"]) + ' Identifier')
                    Logger.LogInfo(str(item["itemsOrder"]) + ' itemsOrder')
                    Logger.LogInfo(str(row["Items Order"]) + ' Items Order')
                    Logger.LogInfo(str(item["dValue"]) + ' dValue')
                    Logger.LogInfo(str(row["D Value, $"]) + ' D Value, $')
                    Logger.LogInfo(str(row["Pack Image"]) + ' PackImage from row  <<<<<<<<<<<<<<<')
                    Logger.LogInfo(str(item["packImage"]) + ' packImage second from item-<<<<<<<<')
                    assert_equal_values(str(item["identifier"]), str(row["Identifier"]), "Identifier is not match!")
                    assert_equal_values(str(item["itemsOrder"]), str(row["Items Order"]), "Items Order is not match!")
                    assert_equal_values(str(item["packImage"]), str(row["Pack Image"]), "packImage is not match!")
                    assert_equal_values(str(item["dValue"]), str(row["D Value, $"]),"dValue  not match!")
                    # assert_equal_values(str(item["remarks"]), str(row["Remarks"]), "Remarks is not match!")
                    items_compared += 1
                    break
        assert_equal_values(items_compared, len(
            config["content"]["items"]), "number of items compared is less than actual items")
    return False
    logging.info("verification done. ---no problems detected--")
    return True  # if code got here, no errors on the way, return True

здесь я получаю

NFO:root:[2020-02-14 09:33:24.543957] 0 identifier
      INFO:root:[2020-02-14 09:33:24.543957] -1 Identifier
      INFO:root:[2020-02-14 09:33:24.543957] 1 itemsOrder
      INFO:root:[2020-02-14 09:33:24.543957] 1 Items Order
      INFO:root:[2020-02-14 09:33:24.543957] 1.99 dValue
      INFO:root:[2020-02-14 09:33:24.543957] 1.99 D Value, $
      INFO:root:[2020-02-14 09:33:24.544953] 1 identifier
      INFO:root:[2020-02-14 09:33:24.544953] -1 Identifier
      INFO:root:[2020-02-14 09:33:24.544953] 2 itemsOrder
      INFO:root:[2020-02-14 09:33:24.544953] 1 Items Order
      INFO:root:[2020-02-14 09:33:24.544953] 2.99 dValue
      INFO:root:[2020-02-14 09:33:24.544953] 1.99 D Value, 
      INFO:root:[2020-02-14 09:33:24.544953] 2 identifier
      INFO:root:[2020-02-14 09:33:24.545949] -1 Identifier

Итак, -1 идентификатор всегда равен -1 и должен изменяться постепенно (0,1,2 ...), как в json файле. Как изменить этот l oop, чтобы этот код работал? и позже, чтобы утверждать эти файлы json против xls

Что я сделал

df = pd.read_excel("download1.xlsx") #xlsx to json
json_from_excel = df.to_json() #json string
print(type(json_from_excel))
print(json_from_excel)
final_dictionary = json.loads(json_from_excel) #dict
print(type(final_dictionary))
print(final_dictionary)

with open('basic.json', 'r') as jason_file:
    data = json.loads(jason_file.read())
    for item in data:
        print(type(item))

, и в результате получается

<class 'str'>
{"Name":{"0":"default_config","1":"default_config","2":"default_config","3":"default_config","4":"default_config","5":"gems1","6":"gems1","7":"gems1","8":"gems1","9":"gems1","10":"gems2","11":"gems2","12":"gems2","13":"gems2","14":"gems2","15":"gems3","16":"gems3","17":"gems3","18":"gems3","19":"gems3"},"Identifier":{"0":11294,"1":11294,"2":11294,"3":11294,"4":11294,"5":11295,"6":11295,"7":11295,"8":11295,"9":11295,"10":11296,"11":11296,"12":11296,"13":11296,"14":11296,"15":11297,"16":11297,"17":11297,"18":11297,"19":11297},"Segment Alias":{"0":"default","1":"default","2":"default","3":"default","4":"default","5":"rhinoQA_1","6":"rhinoQA_1","7":"rhinoQA_1","8":"rhinoQA_1","9":"rhinoQA_1","10":"rhinoQA_2","11":"rhinoQA_2","12":"rhinoQA_2","13":"rhinoQA_2","14":"rhinoQA_2","15":"rhinoQA_3","16":"rhinoQA_3","17":"rhinoQA_3","18":"rhinoQA_3","19":"rhinoQA_3"},"Segment ID":{"0":-1,"1":-1,"2":-1,"3":-1,"4":-1,"5":95365,"6":95365,"7":95365,"8":95365,"9":95365,"10":95366,"11":95366,"12":95366,"13":95366,"14":95366,"15":95367,"16":95367,"17":95367,"18":95367,"19":95367},"GP":{"0":"Y","1":"Y","2":"Y","3":"Y","4":"Y","5":"N","6":"N","7":"N","8":"N","9":"N","10":"N","11":"N","12":"N","13":"N","14":"N","15":"N","16":"N","17":"N","18":"N","19":"N"},"iOS":{"0":"Y","1":"Y","2":"Y","3":"Y","4":"Y","5":"Y","6":"Y","7":"Y","8":"Y","9":"Y","10":"N","11":"N","12":"N","13":"N","14":"N","15":"N","16":"N","17":"N","18":"N","19":"N"},"FB":{"0":"Y","1":"Y","2":"Y","3":"Y","4":"Y","5":"N","6":"N","7":"N","8":"N","9":"N","10":"Y","11":"Y","12":"Y","13":"Y","14":"Y","15":"N","16":"N","17":"N","18":"N","19":"N"},"Amazon":{"0":"Y","1":"Y","2":"Y","3":"Y","4":"Y","5":"N","6":"N","7":"N","8":"N","9":"N","10":"N","11":"N","12":"N","13":"N","14":"N","15":"Y","16":"Y","17":"Y","18":"Y","19":"Y"},"Win32":{"0":"Y","1":"Y","2":"Y","3":"Y","4":"Y","5":"N","6":"N","7":"N","8":"N","9":"N","10":"N","11":"N","12":"N","13":"N","14":"N","15":"N","16":"N","17":"N","18":"N","19":"N"},"Remarks":{"0":"default;A.request cfa for test user and any non existing platform to get default B. request user 520000000101987 (has segment in hbi redis,but not in config), any platform","1":"default;A.request cfa for test user and any non existing platform to get default B. request user 520000000101987 (has segment in hbi redis,but not in config), any platform","2":"default;A.request cfa for test user and any non existing platform to get default B. request user 520000000101987 (has segment in hbi redis,but not in config), any platform","3":"default;A.request cfa for test user and any non existing platform to get default B. request user 520000000101987 (has segment in hbi redis,but not in config), any platform","4":"default;A.request cfa for test user and any non existing platform to get default B. request user 520000000101987 (has segment in hbi redis,but not in config), any platform","5":"*inserted_by_automated_test*","6":"*inserted_by_automated_test*","7":"*inserted_by_automated_test*","8":"*inserted_by_automated_test*","9":"*inserted_by_automated_test*","10":"x1","11":"x1","12":"x1","13":"x1","14":"x1","15":"x3","16":"x3","17":"x3","18":"x3","19":"x3"},"Pack Name":{"0":"test_bingo","1":"test_bingo","2":"test_bingo","3":"test_bingo","4":"test_bingo","5":"test_bingo","6":"test_bingo","7":"test_bingo","8":"test_bingo","9":"test_bingo","10":"test_bingo","11":"test_bingo","12":"test_bingo","13":"test_bingo","14":"test_bingo","15":"test_bingo","16":"test_bingo","17":"test_bingo","18":"test_bingo","19":"test_bingo"},"SKU":{"0":"gems_99","1":"gems_99","2":"gems_99","3":"gems_99","4":"gems_99","5":"gems_99","6":"gems_99","7":"gems_99","8":"gems_99","9":"gems_99","10":"gems_99","11":"gems_99","12":"gems_99","13":"gems_99","14":"gems_99","15":"gems_99","16":"gems_99","17":"gems_99","18":"gems_99","19":"gems_99"},"Sold Item":{"0":"Gems","1":"Gems","2":"Gems","3":"Gems","4":"Gems","5":"Gems","6":"Gems","7":"Gems","8":"Gems","9":"Gems","10":"Gems","11":"Gems","12":"Gems","13":"Gems","14":"Gems","15":"Gems","16":"Gems","17":"Gems","18":"Gems","19":"Gems"},"Items Order":{"0":1,"1":2,"2":3,"3":4,"4":5,"5":1,"6":2,"7":3,"8":4,"9":5,"10":1,"11":2,"12":3,"13":4,"14":5,"15":1,"16":2,"17":3,"18":4,"19":5},"Dollar Value, $":{"0":1.99,"1":2.99,"2":3.99,"3":4.99,"4":5.99,"5":1.99,"6":2.99,"7":3.99,"8":4.99,"9":5.99,"10":1.99,"11":11.99,"12":13.99,"13":14.99,"14":15.99,"15":1.99,"16":2.99,"17":3.99,"18":4.99,"19":5.99},"Item Quantity":{"0":5,"1":15,"2":25,"3":35,"4":45,"5":5,"6":15,"7":25,"8":55,"9":65,"10":5,"11":15,"12":45,"13":55,"14":75,"15":5,"16":15,"17":55,"18":95,"19":85},"Is Best":{"0":"Y","1":"Y","2":"Y","3":"Y","4":"Y","5":"Y","6":"Y","7":"Y","8":"Y","9":"Y","10":"Y","11":"Y","12":"Y","13":"Y","14":"Y","15":"Y","16":"Y","17":"Y","18":"Y","19":"Y"},"Is Popular":{"0":"N","1":"N","2":"N","3":"N","4":"N","5":"N","6":"N","7":"N","8":"N","9":"N","10":"N","11":"N","12":"N","13":"N","14":"N","15":"N","16":"N","17":"N","18":"N","19":"N"},"Footer Type":{"0":1,"1":1,"2":1,"3":1,"4":1,"5":1,"6":1,"7":1,"8":1,"9":1,"10":1,"11":1,"12":1,"13":1,"14":1,"15":1,"16":1,"17":1,"18":1,"19":1},"Footer Text":{"0":"test_text","1":"test_text","2":"test_text","3":"test_text","4":"test_text","5":"test_text","6":"test_text","7":"test_text","8":"test_text","9":"test_text","10":"test_text","11":"test_text","12":"test_text","13":"test_text","14":"test_text","15":"test_text","16":"test_text","17":"test_text","18":"test_text","19":"test_text"},"Pack Image":{"0":"gems_1.png","1":"gems_2.png","2":"gems_3.png","3":"gems_4.png","4":"gems_5.png","5":"gems_1.png","6":"gems_2.png","7":"gems_3.png","8":"gems_4.png","9":"gems_5.png","10":"gems_1.png","11":"gems_2.png","12":"gems_3.png","13":"gems_4.png","14":"gems_5.png","15":"gems_1.png","16":"gems_2.png","17":"gems_3.png","18":"gems_4.png","19":"gems_5.png"}}
<class 'dict'>
{'Name': {'0': 'default_config', '1': 'default_config', '2': 'default_config', '3': 'default_config', '4': 'default_config', '5': 'gems1', '6': 'gems1', '7': 'gems1', '8': 'gems1', '9': 'gems1', '10': 'gems2', '11': 'gems2', '12': 'gems2', '13': 'gems2', '14': 'gems2', '15': 'gems3', '16': 'gems3', '17': 'gems3', '18': 'gems3', '19': 'gems3'}, 'Identifier': {'0': 11294, '1': 11294, '2': 11294, '3': 11294, '4': 11294, '5': 11295, '6': 11295, '7': 11295, '8': 11295, '9': 11295, '10': 11296, '11': 11296, '12': 11296, '13': 11296, '14': 11296, '15': 11297, '16': 11297, '17': 11297, '18': 11297, '19': 11297}, 'Segment Alias': {'0': 'default', '1': 'default', '2': 'default', '3': 'default', '4': 'default', '5': 'rhinoQA_1', '6': 'rhinoQA_1', '7': 'rhinoQA_1', '8': 'rhinoQA_1', '9': 'rhinoQA_1', '10': 'rhinoQA_2', '11': 'rhinoQA_2', '12': 'rhinoQA_2', '13': 'rhinoQA_2', '14': 'rhinoQA_2', '15': 'rhinoQA_3', '16': 'rhinoQA_3', '17': 'rhinoQA_3', '18': 'rhinoQA_3', '19': 'rhinoQA_3'}, 'Segment ID': {'0': -1, '1': -1, '2': -1, '3': -1, '4': -1, '5': 95365, '6': 95365, '7': 95365, '8': 95365, '9': 95365, '10': 95366, '11': 95366, '12': 95366, '13': 95366, '14': 95366, '15': 95367, '16': 95367, '17': 95367, '18': 95367, '19': 95367}, 'GP': {'0': 'Y', '1': 'Y', '2': 'Y', '3': 'Y', '4': 'Y', '5': 'N', '6': 'N', '7': 'N', '8': 'N', '9': 'N', '10': 'N', '11': 'N', '12': 'N', '13': 'N', '14': 'N', '15': 'N', '16': 'N', '17': 'N', '18': 'N', '19': 'N'}, 'iOS': {'0': 'Y', '1': 'Y', '2': 'Y', '3': 'Y', '4': 'Y', '5': 'Y', '6': 'Y', '7': 'Y', '8': 'Y', '9': 'Y', '10': 'N', '11': 'N', '12': 'N', '13': 'N', '14': 'N', '15': 'N', '16': 'N', '17': 'N', '18': 'N', '19': 'N'}, 'FB': {'0': 'Y', '1': 'Y', '2': 'Y', '3': 'Y', '4': 'Y', '5': 'N', '6': 'N', '7': 'N', '8': 'N', '9': 'N', '10': 'Y', '11': 'Y', '12': 'Y', '13': 'Y', '14': 'Y', '15': 'N', '16': 'N', '17': 'N', '18': 'N', '19': 'N'}, 'Amazon': {'0': 'Y', '1': 'Y', '2': 'Y', '3': 'Y', '4': 'Y', '5': 'N', '6': 'N', '7': 'N', '8': 'N', '9': 'N', '10': 'N', '11': 'N', '12': 'N', '13': 'N', '14': 'N', '15': 'Y', '16': 'Y', '17': 'Y', '18': 'Y', '19': 'Y'}, 'Win32': {'0': 'Y', '1': 'Y', '2': 'Y', '3': 'Y', '4': 'Y', '5': 'N', '6': 'N', '7': 'N', '8': 'N', '9': 'N', '10': 'N', '11': 'N', '12': 'N', '13': 'N', '14': 'N', '15': 'N', '16': 'N', '17': 'N', '18': 'N', '19': 'N'}, 'Remarks': {'0': 'default;A.request cfa for test user and any non existing platform to get default B. request user 520000000101987 (has segment in hbi redis,but not in config), any platform', '1': 'default;A.request cfa for test user and any non existing platform to get default B. request user 520000000101987 (has segment in hbi redis,but not in config), any platform', '2': 'default;A.request cfa for test user and any non existing platform to get default B. request user 520000000101987 (has segment in hbi redis,but not in config), any platform', '3': 'default;A.request cfa for test user and any non existing platform to get default B. request user 520000000101987 (has segment in hbi redis,but not in config), any platform', '4': 'default;A.request cfa for test user and any non existing platform to get default B. request user 520000000101987 (has segment in hbi redis,but not in config), any platform', '5': '*inserted_by_automated_test*', '6': '*inserted_by_automated_test*', '7': '*inserted_by_automated_test*', '8': '*inserted_by_automated_test*', '9': '*inserted_by_automated_test*', '10': 'x1', '11': 'x1', '12': 'x1', '13': 'x1', '14': 'x1', '15': 'x3', '16': 'x3', '17': 'x3', '18': 'x3', '19': 'x3'}, 'Pack Name': {'0': 'test_bingo', '1': 'test_bingo', '2': 'test_bingo', '3': 'test_bingo', '4': 'test_bingo', '5': 'test_bingo', '6': 'test_bingo', '7': 'test_bingo', '8': 'test_bingo', '9': 'test_bingo', '10': 'test_bingo', '11': 'test_bingo', '12': 'test_bingo', '13': 'test_bingo', '14': 'test_bingo', '15': 'test_bingo', '16': 'test_bingo', '17': 'test_bingo', '18': 'test_bingo', '19': 'test_bingo'}, 'SKU': {'0': 'gems_99', '1': 'gems_99', '2': 'gems_99', '3': 'gems_99', '4': 'gems_99', '5': 'gems_99', '6': 'gems_99', '7': 'gems_99', '8': 'gems_99', '9': 'gems_99', '10': 'gems_99', '11': 'gems_99', '12': 'gems_99', '13': 'gems_99', '14': 'gems_99', '15': 'gems_99', '16': 'gems_99', '17': 'gems_99', '18': 'gems_99', '19': 'gems_99'}, 'Sold Item': {'0': 'Gems', '1': 'Gems', '2': 'Gems', '3': 'Gems', '4': 'Gems', '5': 'Gems', '6': 'Gems', '7': 'Gems', '8': 'Gems', '9': 'Gems', '10': 'Gems', '11': 'Gems', '12': 'Gems', '13': 'Gems', '14': 'Gems', '15': 'Gems', '16': 'Gems', '17': 'Gems', '18': 'Gems', '19': 'Gems'}, 'Items Order': {'0': 1, '1': 2, '2': 3, '3': 4, '4': 5, '5': 1, '6': 2, '7': 3, '8': 4, '9': 5, '10': 1, '11': 2, '12': 3, '13': 4, '14': 5, '15': 1, '16': 2, '17': 3, '18': 4, '19': 5}, 'Dollar Value, $': {'0': 1.99, '1': 2.99, '2': 3.99, '3': 4.99, '4': 5.99, '5': 1.99, '6': 2.99, '7': 3.99, '8': 4.99, '9': 5.99, '10': 1.99, '11': 11.99, '12': 13.99, '13': 14.99, '14': 15.99, '15': 1.99, '16': 2.99, '17': 3.99, '18': 4.99, '19': 5.99}, 'Item Quantity': {'0': 5, '1': 15, '2': 25, '3': 35, '4': 45, '5': 5, '6': 15, '7': 25, '8': 55, '9': 65, '10': 5, '11': 15, '12': 45, '13': 55, '14': 75, '15': 5, '16': 15, '17': 55, '18': 95, '19': 85}, 'Is Best': {'0': 'Y', '1': 'Y', '2': 'Y', '3': 'Y', '4': 'Y', '5': 'Y', '6': 'Y', '7': 'Y', '8': 'Y', '9': 'Y', '10': 'Y', '11': 'Y', '12': 'Y', '13': 'Y', '14': 'Y', '15': 'Y', '16': 'Y', '17': 'Y', '18': 'Y', '19': 'Y'}, 'Is Popular': {'0': 'N', '1': 'N', '2': 'N', '3': 'N', '4': 'N', '5': 'N', '6': 'N', '7': 'N', '8': 'N', '9': 'N', '10': 'N', '11': 'N', '12': 'N', '13': 'N', '14': 'N', '15': 'N', '16': 'N', '17': 'N', '18': 'N', '19': 'N'}, 'Footer Type': {'0': 1, '1': 1, '2': 1, '3': 1, '4': 1, '5': 1, '6': 1, '7': 1, '8': 1, '9': 1, '10': 1, '11': 1, '12': 1, '13': 1, '14': 1, '15': 1, '16': 1, '17': 1, '18': 1, '19': 1}, 'Footer Text': {'0': 'test_text', '1': 'test_text', '2': 'test_text', '3': 'test_text', '4': 'test_text', '5': 'test_text', '6': 'test_text', '7': 'test_text', '8': 'test_text', '9': 'test_text', '10': 'test_text', '11': 'test_text', '12': 'test_text', '13': 'test_text', '14': 'test_text', '15': 'test_text', '16': 'test_text', '17': 'test_text', '18': 'test_text', '19': 'test_text'}, 'Pack Image': {'0': 'gems_1.png', '1': 'gems_2.png', '2': 'gems_3.png', '3': 'gems_4.png', '4': 'gems_5.png', '5': 'gems_1.png', '6': 'gems_2.png', '7': 'gems_3.png', '8': 'gems_4.png', '9': 'gems_5.png', '10': 'gems_1.png', '11': 'gems_2.png', '12': 'gems_3.png', '13': 'gems_4.png', '14': 'gems_5.png', '15': 'gems_1.png', '16': 'gems_2.png', '17': 'gems_3.png', '18': 'gems_4.png', '19': 'gems_5.png'}}
{'id': 0, 'segmentAlias': 'default', 'userIds': [-1], 'platforms': ['gp'], 'content': {'items': [{'name': 'default_config', 'identifier': 0, 'itemsOrder': 1, 'dollarValue': 1.99, 'remarks': 'default!', 'itemsQuantity': 5, 'is_best': 'Y', 'is_popular': 'N', 'packName': 'test_bingo', 'footerType': 1, 'footerText': 'test_text', 'soldItem': 'Gems', 'packImage': 'gems_1.png', 'SKU': 'gems_99'}, {'name': 'default_config', 'identifier': 1, 'itemsOrder': 2, 'dollarValue': 2.99, 'remarks': 'default!', 'itemsQuantity': 15, 'is_best': 'Y', 'is_popular': 'N', 'packName': 'test_bingo', 'footerType': 1, 'footerText': 'test_text', 'soldItem': 'Gems', 'packImage': 'gems_2.png', 'SKU': 'gems_99'}, {'name': 'default_config', 'identifier': 2, 'itemsOrder': 3, 'dollarValue': 3.99, 'remarks': 'default!', 'itemsQuantity': 25, 'is_best': 'Y', 'is_popular': 'N', 'packName': 'test_bingo', 'footerType': 1, 'footerText': 'test_text', 'soldItem': 'Gems', 'packImage': 'gems_3.png', 'SKU': 'gems_99'}, {'name': 'default_config', 'identifier': 3, 'itemsOrder': 4, 'dollarValue': 4.99, 'remarks': 'default!', 'itemsQuantity': 35, 'is_best': 'Y', 'is_popular': 'N', 'packName': 'test_bingo', 'footerType': 1, 'footerText': 'test_text', 'soldItem': 'Gems', 'packImage': 'gems_4.png', 'SKU': 'gems_99'}, {'name': 'default_config', 'identifier': 4, 'itemsOrder': 5, 'dollarValue': 5.99, 'remarks': 'default!', 'itemsQuantity': 45, 'is_best': 'Y', 'is_popular': 'N', 'packName': 'test_bingo', 'footerType': 1, 'footerText': 'test_text', 'soldItem': 'Gems', 'packImage': 'gems_5.png', 'SKU': 'gems_99'}]}}
<class 'dict'>
{'id': 1, 'segmentAlias': 's1', 'userIds': [-1], 'platforms': ['ios'], 'content': {'items': [{'name': 'gems1', 'identifier': 0, 'itemsOrder': 1, 'dollarValue': 1.99, 'remarks': 'x', 'itemsQuantity': 5,

Я не могу сравнить эти диктанты

1 Ответ

0 голосов
/ 14 февраля 2020

Вам нужно будет прочитать файл excel и преобразовать его в json с помощью pandas. Также проверьте, в каком формате находится ваш файл json при конвертации из pandas. Возможно, вам нужно изменить ориентацию.

df = pd.read_excel(xlsx, sheet_name=sheet)

json_from_excel = df.to_json(orient='records')

Далее вам нужно будет заказать данные json, вот пример функции.

def ordered(obj):
    if isinstance(obj, dict):
        return sorted((k, ordered(v)) for k, v in obj.items())
    if isinstance(obj, list):
        return sorted(ordered(x) for x in obj)
    else:
        return obj

И, наконец, вы можете сравнить .

if ordered(json_from_excel) == ordered(json_data):
   #do something
...