[python] TypeError: got multiple values for argument

I read the other threads that had to do with this error and it seems that my problem has an interesting distinct difference than all the posts I read so far, namely, all the other posts so far have the error in regards to either a user created class or a builtin system resource. I am experiencing this problem when calling a function, I can't figure out what it could be for. Any ideas?

BOX_LENGTH = 100
turtle.speed(0)
fill = 0
for i in range(8):
    fill += 1
    if fill % 2 == 0:
        Horizontol_drawbox(BOX_LENGTH, fillBox = False)
    else:
        Horizontol_drawbox(BOX_LENGTH, fillBox = True)

    for i in range(8):
        fill += 1
        if fill % 2 == 0:
            Vertical_drawbox(BOX_LENGTH,fillBox = False)
        else:
            Vertical_drawbox(BOX_LENGTH,fillBox = True)

Error message:

    Horizontol_drawbox(BOX_LENGTH, fillBox = True)
TypeError: Horizontol_drawbox() got multiple values for argument 'fillBox'

This question is related to python python-3.x

The answer is


My issue was similar to Q---ten's, but in my case it was that I had forgotten to provide the self argument to a class function:

class A:
    def fn(a, b, c=True):
        pass

Should become

class A:
    def fn(self, a, b, c=True):
        pass

This faulty implementation is hard to see when calling the class method as:

a_obj = A()
a.fn(a_val, b_val, c=False)

Which will yield a TypeError: got multiple values for argument. Hopefully, the rest of the answers here are clear enough for anyone to be able to quickly understand and fix the error. If not, hope this answer helps you!


I was brought here for a reason not explicitly mentioned in the answers so far, so to save others the trouble:

The error also occurs if the function arguments have changed order - for the same reason as in the accepted answer: the positional arguments clash with the keyword arguments.

In my case it was because the argument order of the Pandas set_axis function changed between 0.20 and 0.22:

0.20: DataFrame.set_axis(axis, labels)
0.22: DataFrame.set_axis(labels, axis=0, inplace=None)

Using the commonly found examples for set_axis results in this confusing error, since when you call:

df.set_axis(['a', 'b', 'c'], axis=1)

prior to 0.22, ['a', 'b', 'c'] is assigned to axis because it's the first argument, and then the positional argument provides "multiple values".


I had the same problem that is really easy to make, but took me a while to see through.

I had copied the declaration to where I was using it and had left the 'self' argument there, but it took me ages to realise that.

I had

self.myFunction(self, a, b, c='123')

but it should have been

self.myFunction(a, b, c='123')

This exception also will be raised whenever a function has been called with the combination of keyword arguments and args, kwargs

Example:

def function(a, b, c, *args, **kwargs):
    print(f"a: {a}, b: {b}, c: {c}, args: {args}, kwargs: {kwargs}")

function(a=1, b=2, c=3, *(4,))

And it'll raise:

TypeError                                 Traceback (most recent call last)
<ipython-input-4-1dcb84605fe5> in <module>
----> 1 function(a=1, b=2, c=3, *(4,))

TypeError: function() got multiple values for argument 'a'

And Also it'll become more complicated, whenever you misuse it in the inheritance. so be careful we this stuff!

1- Calling a function with keyword arguments and args:

class A:
    def __init__(self, a, b, *args, **kwargs):
        self.a = a
        self.b = b
    
class B(A):
    def __init__(self, *args, **kwargs):

        a = 1
        b = 2
        super(B, self).__init__(a=a, b=b, *args, **kwargs)

B(3, c=2)

Exception:

TypeError                                 Traceback (most recent call last)
<ipython-input-5-17e0c66a5a95> in <module>
     11         super(B, self).__init__(a=a, b=b, *args, **kwargs)
     12 
---> 13 B(3, c=2)

<ipython-input-5-17e0c66a5a95> in __init__(self, *args, **kwargs)
      9         a = 1
     10         b = 2
---> 11         super(B, self).__init__(a=a, b=b, *args, **kwargs)
     12 
     13 B(3, c=2)

TypeError: __init__() got multiple values for argument 'a'

2- Calling a function with keyword arguments and kwargs which it contains keyword arguments too:

class A:
    def __init__(self, a, b, *args, **kwargs):
        self.a = a
        self.b = b
    
class B(A):
    def __init__(self, *args, **kwargs):

        a = 1
        b = 2
        super(B, self).__init__(a=a, b=b, *args, **kwargs)

B(**{'a': 2})

Exception:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-7-c465f5581810> in <module>
     11         super(B, self).__init__(a=a, b=b, *args, **kwargs)
     12 
---> 13 B(**{'a': 2})

<ipython-input-7-c465f5581810> in __init__(self, *args, **kwargs)
      9         a = 1
     10         b = 2
---> 11         super(B, self).__init__(a=a, b=b, *args, **kwargs)
     12 
     13 B(**{'a': 2})

TypeError: __init__() got multiple values for keyword argument 'a'

Simply put you can't do the following:

class C(object):
    def x(self, y, **kwargs):
        # Which y to use, kwargs or declaration? 
        pass

c = C()
y = "Arbitrary value"
kwargs["y"] = "Arbitrary value"
c.x(y, **kwargs) # FAILS

Because you pass the variable 'y' into the function twice: once as kwargs and once as function declaration.


This also happens if you forget selfdeclaration inside class methods.

Example:

class Example():
    def is_overlapping(x1, x2, y1, y2):
        # Thanks to https://stackoverflow.com/a/12888920/940592
        return max(x1, y1) <= min(x2, y2)

Fails calling it like self.is_overlapping(x1=2, x2=4, y1=3, y2=5) with:

{TypeError} is_overlapping() got multiple values for argument 'x1'

WORKS:

class Example():
    def is_overlapping(self, x1, x2, y1, y2):
        # Thanks to https://stackoverflow.com/a/12888920/940592
        return max(x1, y1) <= min(x2, y2)