Question

假设我有以下字典：

{
    "sheet_A": {
        "2017": {
            "col1": "a", 
            "col2": "b", 
            "col3": "c", 
            "col4": "d"
        }, 
        "2018": {
            "col1": "aa", 
            "col2": "bb", 
            "col3": "cc", 
            "col4": "dd"
        }, 
        "2019": {
            "col1": "aaa", 
            "col2": "bbb", 
            "col3": "ccc", 
            "col4": "ddd"
        }
    }, 
    "sheet_B": {
        "2017": {
            "col1": "e", 
            "col2": "f", 
            "col3": "g", 
            "col4": "h"
        }, 
        "2018": {
            "col1": "ee", 
            "col2": "ff", 
            "col3": "gg", 
            "col4": "hh"
        }, 
        "2019": {
            "col1": "eee", 
            "col2": "fff", 
            "col3": "ggg", 
            "col4": "hhh"
        }
    }
}

我想以以下形式创建一个Excel文件（.xlsx）（请注意两个不同的工作表）：

我尝试使用xlwt，但是它不适合我的用例，因为我每张纸要填充256列以上。

Answer 1

即使在数据量非常大的情况下，pandas软件包与xlsxwriter软件包的组合也应该能够处理此问题。

# It is assumed that the data dictionary has been assigned the name `data_dict`     

import pandas as pd

# Convert dictionaries to Pandas dataframes        
df_A = pd.DataFrame(data_dict["sheet_A"]).transpose()
df_B = pd.DataFrame(data_dict["sheet_B"]).transpose()

# Create a Pandas Excel writer using XlsxWriter as the engine
with pd.ExcelWriter('workbook.xlsx', engine='xlsxwriter') as writer:
    # Write each dataframe to a different worksheet
    df_A.to_excel(writer, sheet_name='Sheet_A')
    df_B.to_excel(writer, sheet_name='Sheet_B')

如何在Python中将内部字典写入.xlsx文件

1 个答案: