如何在Python中将内部字典写入.xlsx文件
假设我有以下词典:如何在Python中将内部字典写入.xlsx文件,python,excel,Python,Excel,假设我有以下词典: { "sheet_A": { "2017": { "col1": "a", "col2": "b", "col3": "c", "col4": "d" }, "2018": { "col1": "aa", "col2": "bb", "col3
{
"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"
}
}
}
我想创建一个Excel文件(.xlsx
),格式如下(注意两张不同的表格):
我曾尝试使用xlwt
,但它不适合我的用例,因为我要在每张工作表中填充超过256列 即使在数据量相当大的情况下,与包结合使用的包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')
你现在有什么代码?它提供了什么输出(包括错误和警告消息)?@AgihammerTheep更新了我的问题,提供了更多的背景信息。