Python Pandas read_excel 返回空数据框

Question

Reading a simple xls returning empty dataframe, can't figure it out for the life of me:

path = ('c:/Users/Desktop/Stuff/Ready')
files = os.listdir(path)
print(files)

files_xlsx = [f for f in files if f[-3:] == 'xlsx']

readyorders = pd.DataFrame()
for filename in files_xlsx:
    with open(os.path.join(path, filename)) as f:
        data = pd.read_excel(f)
        readyorders = readyorders.append(data)

print(readyorders)

The excel is just two simple columns...is it just too early in the day?

Answer 1

I had a similar issue and it turns out that there are TWO types of XLSX: "Excel Workbook" (at the top of the list in the image below) and "Strict Open XML Spreadsheet" (with the checkmark). The latter returns an empty spreadsheet in pandas, so use the Excel Workbook (.xlsx) and you won't have problems.

Answer 2

f[-3:] == 'xlsx' will never be true, as you are evaluating the last three characters and comparing it to a string of four characters.

Try f[-4:] == 'xlsx'

As an aside, appending dataframes is very slow. Try concatenating instead:

readyorders = pd.concat([pd.read_excel(f) for f in files if f[-5:] == '.xlsx']

Answer 3

我遇到了同样的问题，后来我发现这是因为我在 excel 文件中有很多工作表，而我没有指定工作表名称。

Answer 4

Sometimes there is also a "hidden sheet" which results of bad exports.. You should use the sheet_name parameter for your sheet then or you could also use sheet_name=None . Then you get a dict with the empty df of the hidden sheet and the other data