I have created a dictionary in python. After creating it, I wrote it into an excel file. In this file the first cell values/names alone are missing. How can I get the cell value or how can I give the cell a value by default?
我在python中创建了一个字典。创建它之后，我将其写入excel文件。在此文件中，仅缺少第一个单元格值/名称。如何获取单元格值或如何在默认情况下为单元格赋值？
-------------------------------------------------------------
**(missing value)** a b c
-------------------------------------------------------------
name1 value1 value2 value3
name2 value1 value2 value3
------------------------------------------------------------
I have used pandas dataframe to implement this. The code i have tried is :
我使用pandas数据帧来实现这一点。我试过的代码是：
ab = pd.DataFrame(Dictionary).T
writer = pd.ExcelWriter("ExcelFile.xlsx", engine='xlsxwriter')
ab.to_excel(writer, sheet_name='Sheet1',index='True')
1 个解决方案
#1
1
By default, the index is unnamed in a DataFrame. When you export it to Excel, it stores it in a separate column, but since the index does not have a name, the column is untitled.
默认情况下，索引在DataFrame中未命名。将其导出到Excel时，它会将其存储在单独的列中，但由于索引没有名称，因此该列是无标题的。
My solution would be to reset the index to its own column, and then to export it to Excel:
我的解决方案是将索引重置为自己的列，然后将其导出到Excel：
ab = pd.DataFrame(dicti)
writer = pd.ExcelWriter("ExcelFile.xlsx", engine='xlsxwriter')
ab.reset_index(drop=False, inplace=True) #Store the index in a column named "Index"
ab.to_excel(writer, sheet_name='Sheet1', index=False) #Omit the now-irrelevant index.
#1
1
By default, the index is unnamed in a DataFrame. When you export it to Excel, it stores it in a separate column, but since the index does not have a name, the column is untitled.
默认情况下，索引在DataFrame中未命名。将其导出到Excel时，它会将其存储在单独的列中，但由于索引没有名称，因此该列是无标题的。
My solution would be to reset the index to its own column, and then to export it to Excel:
我的解决方案是将索引重置为自己的列，然后将其导出到Excel：
ab = pd.DataFrame(dicti)
writer = pd.ExcelWriter("ExcelFile.xlsx", engine='xlsxwriter')
ab.reset_index(drop=False, inplace=True) #Store the index in a column named "Index"
ab.to_excel(writer, sheet_name='Sheet1', index=False) #Omit the now-irrelevant index.