类型错误：预期的 str、bytes 或 os.PathLike 对象，而不是 DataFrame - Not a Repost

Question

The other version of this question wasn't ever answered, the original poster didn't give a full example of their code...

I have a function that's meant to import a spreadsheet for formatting purposes. Now, the spreadsheet can come in two forms:

1. As a filename string (excel, .csv, etc) to be imported as a DataFrame
2. Directly as a DataFrame (there's another function that may or may not be called to do some preprocessing)

the code looks like

def func1(spreadsheet):
    if type(spreadsheet) == pd.DataFrame: 
        df = spreadsheet
    else:
        df_ext = os.path.splitext(spreadsheet)[1]
        etc. etc.

If I run this function with a DataFrame, I get the following error:

---> 67     if type(spreadsheet) == pd.DataFrame: df = spreadsheet
     68     else:

/opt/anaconda3/lib/python3.7/posixpath.py in splitext(p)
    120 
    121 def splitext(p):
--> 122     p = os.fspath(p)
    123     if isinstance(p, bytes):
    124         sep = b'/'

TypeError: expected str, bytes or os.PathLike object, not DataFrame

Why is it doing this?

Answer 1

So, one way is to just compare with a string and reading the dataframe in the else condition. The other way would be to use isinstance

In [21]: dict1
Out[21]: {'a': [1, 2, 3, 4], 'b': [2, 4, 6, 7], 'c': [2, 3, 4, 5]}

In [24]: df = pd.DataFrame(dict1)

In [28]: isinstance(df, pd.DataFrame)
Out[28]: True

In [30]: isinstance(os.getcwd(), pd.DataFrame)
Out[30]: False

So, in your case just do this

if isinstance(spreadsheet, pd.DataFrame)

Answer 2

This line is the problem:

if type(spreadsheet) == pd.DataFrame: 

The type of a dataframe is pandas.core.frame.DataFrame . pandas.DataFrame is a class which returns a dataframe when you call it.

Either of these would work:

if type(spreadsheet) == type(pd.DataFrame()):


if type(spreadsheet) == pd.core.frame.DataFrame: