需求：現有一個excel表格，讀取date列的內容和合並單元格的內容

Sheet1頁的資料內容如下：

程式碼如下：

import xlrd
import collections
import json
import operator
from ctypes import *
from datetime import date,datetime

excel_file = xlrd.open_workbook('C:\\Users\\belle.zhao\\Desktop\\test.xlsx','rb')  # 開啟excel檔案
print(excel_file.sheet_names(
 
))  # 獲取Excel的sheet表
sheet = excel_file.sheet_by_name('Sheet1')   # 選擇sheet頁sheet1
sheet1 = excel_file.sheet_by_index(1)  #選擇第2個sheet頁的表
title = sheet.row_values(0)   #獲取sheet頁的標題
ncols = sheet.ncols  # 獲取sheet1 頁的列數
nrows = sheet.nrows  # 獲取sheet1頁的行數
data_list = []
for i in range(1,nrows):
    data_values =
 
 collections.OrderedDict()
    row_value = sheet.row_values(i)
    for j in range(0,len(row_value)-1):
        data_values[title[j]] = row_value[j]
        print([title[j]],row_value[j])
        data_list.append(data_values)
row_result = json.dumps(data_list)
print("len(row_value)-1列的所有行的值是：", row_result)
 


cell_value=sheet.cell_value(1,1)  # 獲取第2行第2列的值
cell_value2=sheet.cell(1,1)   # 獲取第2行第2列的資料型別和值
cell_value3=sheet.row(1)[1]  # 獲取第2行第2列的值
print("cell_value的值是：", cell_value)
print("cell_value2的值是：",cell_value2)
print("cell_value3的值是：",cell_value3)

# 讀取excel中日期型別的資料

# 將第4行第4列的資料轉化為日期格式：
cell_value_type=sheet.cell_type(3,3)  # 獲取第4行第4列的資料型別,表格中是日期型別
if cell_value_type == 3:
    date_value = xlrd.xldate_as_tuple(sheet.cell_value(3,3), excel_file.datemode)
    date_tmp = date(*date_value[:3]).strftime('%Y/%m/%d')
print("date_value的值是",date_tmp)

# 第4列的日期資料轉化為日期格式輸出：
col_date=[]
for m in range(1,nrows):
    col_date_value = xlrd.xldate_as_tuple(sheet.cell_value(m,3), excel_file.datemode)
    col_date.append(col_date_value[0:3])   # 獲取日期列的內容，不要時分秒
print("日期列的內容是：", col_date)

# 利用datetime獲取datetime物件型別
col_datetime = []
for n in range(1, nrows):
    col_date_value2 = xlrd.xldate_as_datetime(sheet.cell(n,3).value, 0)
    col_datetime.append(col_date_value2)   # 獲取日期列的內容，格式為datetime型別
print("日期列的內容col_datetime是：", col_datetime)

# 將datetime 物件型別轉化為元組
col_datetime2 = []
for a in range(1, nrows):
    col_date_value3 = xlrd.xldate_as_datetime(sheet.cell_value(a,3), 0)
    col_datetime2.append(col_date_value3.__str__())   # 獲取日期列的內容，日期格式轉化為元組
print("日期列的內容col_datetime2是：", col_datetime2)  # 將元組轉化為字串

# 讀取合併單元格的資料
print("當前sheet頁的合併單元格有:", sheet.merged_cells)
print("第3行第5列合併的單元格的資料是：", sheet.cell_value(3,5))
merge_cell = []
for (rlow,rhigh,clow,chigh) in sheet.merged_cells:
    merge_cell.append([rlow,clow])
print("獲取合併單元格的起始行和起始列：", merge_cell)
print("獲取合併單元格的資料型別：", type(merge_cell))
for index in merge_cell:
    print("獲取合併單元格的值：", sheet.cell_value(index[0],index[1]))   # 第0個索引得到的值做為行，第2個索引得到的值做為列，並進行遍歷

部分執行結果如下：

日期列的內容是： [(2018, 10, 5), (2018, 10, 5), (2018, 9, 5), (2018, 10, 5), (2018, 9, 5), (2018, 10, 5), (2018, 10, 5), (2018, 9, 5), (2018, 11, 5), (2018, 9, 5), (2018, 9, 5), (2018, 7, 5), (2018, 9, 5), (2018, 9, 5), (2018, 10, 5), (2018, 10, 6), (2018, 9, 5), (2018, 11, 5), (2018, 11, 5), (2018, 11, 5), (2018, 9, 5), (2018, 11, 5), (2018, 11, 5), (2018, 7, 5), (2018, 9, 5), (2018, 7, 5)]
日期列的內容col_datetime是： [datetime.datetime(2018, 10, 5, 0, 0), datetime.datetime(2018, 10, 5, 0, 0), datetime.datetime(2018, 9, 5, 0, 0), datetime.datetime(2018, 10, 5, 0, 0), datetime.datetime(2018, 9, 5, 0, 0), datetime.datetime(2018, 10, 5, 0, 0), datetime.datetime(2018, 10, 5, 0, 0), datetime.datetime(2018, 9, 5, 0, 0), datetime.datetime(2018, 11, 5, 0, 0), datetime.datetime(2018, 9, 5, 0, 0), datetime.datetime(2018, 9, 5, 0, 0), datetime.datetime(2018, 7, 5, 0, 0), datetime.datetime(2018, 9, 5, 0, 0), datetime.datetime(2018, 9, 5, 0, 0), datetime.datetime(2018, 10, 5, 0, 0), datetime.datetime(2018, 10, 6, 0, 0), datetime.datetime(2018, 9, 5, 0, 0), datetime.datetime(2018, 11, 5, 0, 0), datetime.datetime(2018, 11, 5, 0, 0), datetime.datetime(2018, 11, 5, 0, 0), datetime.datetime(2018, 9, 5, 0, 0), datetime.datetime(2018, 11, 5, 0, 0), datetime.datetime(2018, 11, 5, 0, 0), datetime.datetime(2018, 7, 5, 0, 0), datetime.datetime(2018, 9, 5, 0, 0), datetime.datetime(2018, 7, 5, 0, 0)]
日期列的內容col_datetime2是： ['2018-10-05 00:00:00', '2018-10-05 00:00:00', '2018-09-05 00:00:00', '2018-10-05 00:00:00', '2018-09-05 00:00:00', '2018-10-05 00:00:00', '2018-10-05 00:00:00', '2018-09-05 00:00:00', '2018-11-05 00:00:00', '2018-09-05 00:00:00', '2018-09-05 00:00:00', '2018-07-05 00:00:00', '2018-09-05 00:00:00', '2018-09-05 00:00:00', '2018-10-05 00:00:00', '2018-10-06 00:00:00', '2018-09-05 00:00:00', '2018-11-05 00:00:00', '2018-11-05 00:00:00', '2018-11-05 00:00:00', '2018-09-05 00:00:00', '2018-11-05 00:00:00', '2018-11-05 00:00:00', '2018-07-05 00:00:00', '2018-09-05 00:00:00', '2018-07-05 00:00:00']
當前sheet頁的合併單元格有: [(3, 6, 5, 6), (9, 11, 2, 3), (1, 4, 4, 5)]
第3行第5列合併的單元格的資料是： female
獲取合併單元格的起始行和起始列： [[3, 5], [9, 2], [1, 4]]
獲取合併單元格的資料型別： <class 'list'>
獲取合併單元格的值： female
獲取合併單元格的值： 3000.0
獲取合併單元格的值： 24.0