在 Python 中使用 XLRD 迭代行和列 [英] Iterating rows and columns using XLRD in Python

问题描述

我正在使用 python xlrd 模块来解析 Excel 文件.这是excel文件的样子:

标题 A B C属性 1 1 2 3属性 2 4 5 6属性 3 7 8 9

而且我想要以下格式的输出:

<预><代码>[{"name": "A",属性1":{价值":1},属性2":{价值":4},属性3":{价值":7}},{"name": "B",属性1":{价值":2},属性2":{价值":5},属性3":{价值":8}},{"name": "C",属性1":{价值":3},属性2":{价值":6},属性3":{价值":9}}]

我尝试了以下操作，但不知道如何以上述格式创建输出.将不胜感激！

from xlrd import open_workbookwb = open_workbook('D:\abc_Template.xlsx', 'r')wb_sheet = wb.sheet_by_index(0)值 = []对于范围内的 row_idx(7，wb_sheet.nrows):col_value = []rowval = str((wb_sheet.cell(row_idx, 1)))对于范围 (1, 5) 中的 col_idx:if(col_idx != 2 和 col_idx != 1):cellVal = wb_sheet.cell(row_idx, col_idx)cellObj = {rowval: {"value" : cellVal}}col_value.append(cellObj)values.append(col_value)打印值

解决方案

range(7, wb_sheet.nrows) 和 range(1, 5) 中的迭代器值不等价于输入表的维度.先按列再按行解析数据似乎更容易.我对您的解析器有以下代码建议:

from xlrd import open_workbook导入jsonwb = open_workbook('abc_Template.xlsx', 'r')wb_sheet = wb.sheet_by_index(0)值 = []对于范围内的 col_idx(1，wb_sheet.ncols):cellObj = {"name": str(wb_sheet.cell(0, col_idx).value)}对于范围内的 row_idx(1，wb_sheet.nrows):attrib = str(wb_sheet.cell(row_idx, 0).value)cellObj[str(attrib)] = {"value": int(wb_sheet.cell(row_idx, col_idx).value)}values.append(cellObj)打印(json.dumps(值))

OBS:本示例运行python版本> 3，确保导入json库并更改.xlsx文件的输入路径.

I'm using python xlrd module to parse an Excel file. Here is how the excel file looks like:

Title           A   B   C
attribute 1     1   2   3
attribute 2     4   5   6
attribute 3     7   8   9

And I want the output in the following format:

[
    {
        "name": "A",
        "attribute1": {
            "value": 1
        },
        "attribute2": {
            "value": 4
        },
        "attribute3": {
            "value": 7
        }       
    },
    {
        "name": "B",
        "attribute1": {
            "value": 2
        },
        "attribute2": {
            "value": 5
        },
        "attribute3": {
            "value": 8
        }   
    },
    {
        "name": "C",
        "attribute1": {
            "value": 3
        },
        "attribute2": {
            "value": 6
        },
        "attribute3": {
            "value": 9
        }       
    }       
]

I have tried the following but can't figure out how to create the output in the above format. Would appreciate any help on this!

from xlrd import open_workbook

wb = open_workbook('D:\abc_Template.xlsx', 'r')

wb_sheet = wb.sheet_by_index(0)

values = []

for row_idx in range(7, wb_sheet.nrows):
    col_value = []
    rowval = str((wb_sheet.cell(row_idx, 1)))

    for col_idx in range(1, 5):
        if(col_idx != 2 and col_idx != 1):
            cellVal = wb_sheet.cell(row_idx, col_idx)
            cellObj = {rowval: {"value" : cellVal}}
            col_value.append(cellObj)

    values.append(col_value)

print values

解决方案

The iterator values in range(7, wb_sheet.nrows) and range(1, 5) are not equivalent with the dimension of input table . It seems more easy to parse the data first by column and after by row. I have a code suggestion to your parser below:

from xlrd import open_workbook
import json

wb = open_workbook('abc_Template.xlsx', 'r')

wb_sheet = wb.sheet_by_index(0)

values = []

for col_idx in range(1, wb_sheet.ncols):
    cellObj = {"name": str(wb_sheet.cell(0, col_idx).value)}
    for row_idx in range(1, wb_sheet.nrows):
        attrib = str(wb_sheet.cell(row_idx, 0).value)
        cellObj[str(attrib)] = {"value": int(wb_sheet.cell(row_idx, col_idx).value)}

    values.append(cellObj)

print(json.dumps(values))

OBS: This example run with python version > 3, make sure to import json library and change the input path of the .xlsx file.

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