如何将词典列表输出到 Excel 工作表？

Question

我有一个名为“玩家”的列表，其中包含字典。它看起来像这样：

players = [{'dailyWinners': 3, 'dailyFreePlayed': 2, 'user': 'Player1', 'bank': 0.06},
{'dailyWinners': 3, 'dailyFreePlayed': 2, 'user': 'Player2', 'bank': 4.0},
{'dailyWinners': 1, 'dailyFree': 2, 'user': 'Player3', 'bank': 3.1},
{'dailyWinners': 3, 'dailyFree': 2, 'user': 'Player4', 'bank': 0.32}]

长得多，但这是节选。我如何将这个词典列表输出到 Excel 文件，以便按键/值整齐地组织它？

Answer 1

有一种方法可以将字典列表写入 Excel 工作表。首先，确保你有

XlsxWriter package

.

from xlsxwriter import Workbook
players = [{'dailyWinners': 3, 'dailyFree': 2, 'user': 'Player1', 'bank': 0.06},
{'dailyWinners': 3, 'dailyFree': 2, 'user': 'Player2', 'bank': 4.0},
{'dailyWinners': 1, 'dailyFree': 2, 'user': 'Player3', 'bank': 3.1},
{'dailyWinners': 3, 'dailyFree': 2, 'user': 'Player4', 'bank': 0.32}]

ordered_list=["user", "dailyWinners", "dailyFree", "bank"] # List object calls by index, but the dict object calls items randomly

wb=Workbook("New File.xlsx")
ws=wb.add_worksheet("New Sheet") # Or leave it blank. The default name is "Sheet 1"

first_row=0
for header in ordered_list:
    col=ordered_list.index(header) # We are keeping order.
    ws.write(first_row,col,header) # We have written first row which is the header of worksheet also.

row=1
for player in players:
    for _key,_value in player.items():
        col=ordered_list.index(_key)
        ws.write(row,col,_value)
    row+=1 #enter the next row
wb.close()

我尝试了代码，它成功运行了。

Answer 2

使用 Pandas 的解决方案

import pandas as pd

players = [{'dailyWinners': 3, 'dailyFreePlayed': 2, 'user': 'Player1', 'bank': 0.06},
{'dailyWinners': 3, 'dailyFreePlayed': 2, 'user': 'Player2', 'bank': 4.0},
{'dailyWinners': 1, 'dailyFreePlayed': 2, 'user': 'Player3', 'bank': 3.1},
{'dailyWinners': 3, 'dailyFreePlayed': 2, 'user': 'Player4', 'bank': 0.32}]

df = pd.DataFrame.from_dict(players)

print (df)

df.to_excel('players.xlsx')

Answer 3

xlsxwriter

库非常适合创建

.xlsx

文件（最初由 Fatih1923 提到）。

---

以下代码片段从字典列表生成一个

.xlsx

文件，同时说明order和显示的名称：

import xlsxwriter

# ...

def create_xlsx_file(file_path: str, headers: dict, items: list):
    with xlsxwriter.Workbook(file_path) as workbook:
        worksheet = workbook.add_worksheet()
        worksheet.write_row(row=0, col=0, data=headers.values())
        header_keys = list(headers.keys())
        for index, item in enumerate(items):
            row = map(lambda field_id: item.get(field_id, ''), header_keys)
            worksheet.write_row(row=index + 1, col=0, data=row)

用法

headers = {
    'bank': 'Money in Bank',
    'dailyWinners': 'Daily Winners',
    'dailyFree': 'Daily Free',
    'user': 'User',
}

players = [
    {'dailyWinners': 3, 'dailyFreePlayed': 2, 'user': 'Player1', 'bank': 0.06},
    {'dailyWinners': 3, 'dailyFreePlayed': 2, 'user': 'Player2', 'bank': 4.0},
    {'dailyWinners': 1, 'dailyFree': 2, 'user': 'Player3', 'bank': 3.1},
    {'dailyWinners': 3, 'dailyFree': 2, 'user': 'Player4', 'bank': 0.32}
]

create_xlsx_file("my xslx file.xlsx", headers, players)

💡 注意 -

headers

字典代表order 和displayed name。如果您不使用 Python3.6+，请在

OrderedDict

中使用

headers

，因为

dict

中的顺序未保留

Answer 4

test.py

from csv import DictWriter

players = [{'dailyWinners': 3, 'dailyFreePlayed': 2, 'user': 'Player1', 'bank': 0.06},
{'dailyWinners': 3, 'dailyFreePlayed': 2, 'user': 'Player2', 'bank': 4.0},
{'dailyWinners': 1, 'dailyFree': 2, 'user': 'Player3', 'bank': 3.1},            
{'dailyWinners': 3, 'dailyFree': 2, 'user': 'Player4', 'bank': 0.32}]

with open('spreadsheet.csv','w') as outfile:
    writer = DictWriter(outfile, ('dailyWinners','dailyFreePlayed','dailyFree','user','bank'))
    writer.writeheader()
    writer.writerows(players)

奔跑

python test.py

然后在 Excel 中打开生成的

spreadsheet.csv

文件。

注意：我运行的是 Linux，因此我无法使用 Microsoft Excel 对此进行测试。这在 LibreOffice Calc 中有效，并给出一个电子表格，其中键是列名，值在相应的列下。

Answer 5

data = { "ORCF": { "n": 32, "age": 38.5, "age_std": 6.7, "sex": {"male": 18, "female": 14}, "side": { “左”：17，“右”：15}，“BMI”：24.7，“BMI_std”：3.1，“time_from_injury_to_surgery”：4.2，“time_from_injury_to_surgery_std”：1.6，“位移”：5.5，“displacement_std”：1.4，“ fracture_classification": {"OTA_34_A1": 20, "OTA_34_A2": 12}, }, "ORTF": { "n": 31, "age": 39.8, "age_std": 7.3, "sex": {"male" ：17，“女性”：14}，“侧”：{“左”：15，“右”：16}，“BMI”：24.3，“BMI_std”：3.5，“time_from_injury_to_surgery”：4.0，“time_from_injury_to_surgery_std”： 1.5，“位移”：5.4，“displacement_std”：1.5，“fracture_classification”：{“OTA_34_A1”：19，“OTA_34_A2”：12}，}，}