我使用以下代码使用win32com.client将现有数据框复制到excel工作表。下面是代码
import win32com.client as win32,sys
import pandas as pd
excel_application = win32.Dispatch("Excel.Application")
excel_application.Visible = True
lta_df = pd.read_excel("C:/Temp/temp_lta.xlsx",sheetname=0,
header=0,na_filter=False)
lta_df["Updated"] = pd.to_datetime(lta_df["Updated"])
workbook = excel_application.Workbooks.Open("C:/Temp/temp_lta.xlsx")
ws= workbook.Sheets.Add(After=workbook.Sheets(workbook.Sheets.count))
start_row= 1
start_col = 5
lta_df= lta_df.reset_index()
ws.Range(ws.Cells(start_row,start_col),
ws.Cells(start_row+len(lta_df.index)-1,start_col+len(lta_df.columns))
).Value = lta_df.to_records(index=False)
当我使用to_records()
时,我收到以下错误 Traceback (most recent call last):
File "<ipython-input-779-91e88023cb75>", line 3, in <module>
).Value = lta_df.to_records(index=False)
File "C:\anaconda3\lib\site-packages\win32com\client\dynamic.py", line 565, in __setattr__
self._oleobj_.Invoke(entry.dispid, 0, invoke_type, 0, value)
TypeError: Internal error - the buffer length is not the sequence length!
可以解决它的问题。所有值都在str中 使用
时遇到同样的错误 start_row = 1
start_col = 1
arr_temp = lta_df.values.copy(order="C")
ws.Range(ws.Cells(start_row,start_col),
ws.Cells(start_row+len(lta_df.index)-1,start_col+len(lta_df.columns))
).Value = arr_temp
答案 0 :(得分:1)
出现错误是因为win32无法理解您的数据类型(pd.Dataframe或np.ndarray)。我的方式是
# first by converting dataframe to contiguous array
# this is needed because array has to be C_CONTIGUOUS in order to
# write it using win32com
# you can check whether your array is contiguous by using .flags method
lta_df2 = np.ascontiguousarray(lta_df)
# second step is to convert the array to list
lta_df3 = lta_df2.tolist()
# now you can write lta_df3 to excel using win32com
start_row = 1
start_col = 1
ws.Range(ws.Cells(start_row,start_col),
ws.Cells(start_row+len(lta_df.index)-1,start_col+len(lta_df.columns))
).Value = lta_df3
此外,我建议您添加python和pandas标签
也#2,您可能想要像len(lta_df.columns)
那样从start_row+len(lta_df.index)-1
中减去1