熊貓：寫一個數據透視表，其所有列excel

Question

我想從熊貓寫一個數據透視表到excel工作表，但我失去了一個單元級別的信息，我發現瀏覽網頁時找不到解決方案。

這是我得到的數據透視表做出來OUF一個數據幀：

T-Class  <00.5 <01.0 
ZIP   
0 1375.0 762.0 
1 2177.0 913.0 

當我寫它練成我失去的細胞「T級車」，其對應的空行的「ZIP 「這是我開始使用XLSX作者：

ZIP <00.5 <01.0 
0 1375 762 
1 2177 913 

示例代碼寫入到Excel中：

writer = pd.ExcelWriter('data.xlsx', engine='xlsxwriter') 
df.to_excel(writer, sheet_name='pivottable',header = True,index=True) 
writer.save() 

如何解決此問題？現在

Answer 1

，我一回到透視表的出口專題大熊貓dataframes我找到了出口較好的庫。 Openpyxl！隨着openpyxl它可以打開預定義的Excel模板這樣它沒有必要處理不必要的xlsxwriter錯誤寫預定好看tablehead下方的數據幀的數據。這裏是openpyxl中的示例代碼：

import openpyxl 
from openpyxl import load_workbook 
workbook.active = 0 
worksheet = workbook.active 
worksheet.title = 'XYZ' 
#check length of df 
depth_df_2 = len(merged_plz_all) 
#call special method to comfortably write the dataframe below your 
#predefined header 
update_range(workbook.active,merged_plz_all,cell_range = 
'A18:'+str(spaltenindex[len(merged_plz_all.columns)])+str(depth_df_2+17)) 
workbook.save('yourNicelyLookingPivotTable.xlsx') 

這裏是我在另一個stackoverflow線程中找到的必需的update_range方法。我不幸didnt書籤，所以我請求原諒不提供update_range方法的起源。我個人認爲這種方法應該是圖書館openpyxl本身的一部分！

def update_range(worksheet, data, cell_range=None, named_range=None): 
""" 
Updates an excel worksheet with the given data. 
:param worksheet: an excel worksheet 
:param data: data used to update the worksheet cell range (list, tuple, np.ndarray, pd.Dataframe) 
:param cell_range: a string representing the cell range, e.g. 'AB12:XX23' 
:param named_range: a string representing an excel named range 
""" 

def clean_data(data): 
    if not isinstance(data, (list, tuple, np.ndarray, pd.DataFrame)): 
     raise TypeError('Invalid data, data should be an array type iterable.') 

    if not len(data): 
     raise ValueError('You need to provide data to update the cells') 

    if isinstance(data, pd.DataFrame): 
     data = data.values 

    elif isinstance(data, (list, tuple)): 
     data = np.array(data) 

    return np.hstack(data) 

def clean_cells(worksheet, cell_range, named_range): 
    # check that we can access a cell range 
    if not any((cell_range, named_range) or all((cell_range, named_range))): 
     raise ValueError('`cell_range` or `named_range` should be provided.') 

    # get the cell range 
    if cell_range: 
     try: 
      cells = np.hstack(worksheet[cell_range]) 
     except (CellCoordinatesException, AttributeError): 
      raise ValueError('The cell range provided is invalid, cell range must be in the form XX--[:YY--]') 

    else: 
     try: 
      cells = worksheet.get_named_range(named_range) 
     except (TypeError): 
      raise ValueError('The current worksheet {} does not contain any named range {}.'.format(
       worksheet.title, 
       named_range)) 

    # checking that we have cells to update, and data 
    if not len(cells): 
     raise ValueError('You need to provide cells to update.') 

    return cells 

cells = clean_cells(worksheet, cell_range, named_range) 
data = clean_data(data) 

# check that the data has the same dimension as cells 
if len(cells) != data.size: 
    raise ValueError('Cells({}) should have the same dimension as the data({}).'.format(len(cells), data.size)) 

for i, cell in enumerate(cells): 
    cell.value = data[i]