x,y = load_iris(return_x_y =True)
x,y = load_iris(return_x_y =True)x,y = load_iris(return_x_y =True)
TypeError Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_5332\2922518932.py in <module>
----> 1 x,y = load_iris(return_x_y =True)
TypeError: load_iris() got an unexpected keyword argument 'return_x_y'
I'm getting Type Error kindly let me know where I'm doing it wrong
Related
Here is my model:
starts at line: 39
def make_input_fn(data_df, label_df, num_epochs=10, shuffle=True, batch_size=32):
def input_function():
ds = tf.data.Dataset.from_tensor_slices((dict(data_df), label_df))
if shuffle:
ds = ds.shuffle(1000)
ds = ds.batch(batch_size).repeat(num_epochs)
return ds()
return input_function()
train_input_fn = make_input_fn(dftrain, y_train)
ends at line: 49
Here is my error:
Traceback (most recent call last): File, line 49, in <module> train_input_fn = make_input_fn(dftrain, y_train) File, line 46, in make_input_fn return input_function() File, line 45, in input_function return ds() TypeError: 'RepeatDataset' object is not callable
The Variable ds is not callable, Try to change return ds() in the input_function() to return ds.
These types of error usually occur when you try to index an Integer or Float variable or you try to make a variable callable using ()
For Example
var=10
print(var())
var2=15
print(var2[0])
The above is the simplified example of what error you are getting.
I want to convert the final list as tuple. However i am receiving an error.How can i get rid of this?
li= [(19343160,),(39343169,)]
def render_list_sql(li):
l = []
for index, tuple in enumerate(li):
idd = str(tuple[0])
l.append(idd)
return tuple(l)
print(render_list_sql(li))
Expected value to be returned is:
(19343160,39343169)
Error
Traceback (most recent call last):
File "test.py", line 20, in <module>
print(render_list_sql(list))
File "test.py", line 14, in render_list_sql
return tuple(l)
TypeError: 'tuple' object is not callable
As commented, don't use names for variables that mean other things to Python. This is called "shadowing" and you lose the meaning of the original name.
Example:
>>> tuple # This is the class used to create tuples.
<class 'tuple'>
>>> for index,tuple in enumerate([1,2,3]): # This is similar to your code
... print(index,tuple)
...
0 1
1 2
2 3
>>> tuple # tuple is no longer a class, but an instance of an integer.
3
>>> tuple([1,2,3]) # so this fails
Traceback (most recent call last):
File "<interactive input>", line 1, in <module>
TypeError: 'int' object is not callable
>>> 3([1,2,3]) # You are basically doing this:
<interactive input>:1: SyntaxWarning: 'int' object is not callable; perhaps you missed a comma?
Traceback (most recent call last):
File "<interactive input>", line 1, in <module>
TypeError: 'int' object is not callable
So don't do that:
li = [(19343160,),(39343169,)] # don't reassign list
def render_list_sql(li):
l = []
for index, tup in enumerate(li): # don't reassign tuple
idd = str(tup[0])
l.append(idd)
return tuple(l) # now this will work
print(render_list_sql(li))
Output:
('19343160', '39343169')
FYI, a shorter version using a generator:
li = [(19343160,),(39343169,)]
tup = tuple(str(i[0]) for i in li)
print(tup)
I downloaded hnswlib package to my env but I am constantly getting an error about
AttributeError Traceback (most recent call last)
in
1 # Declaring index
----> 2 p = hnswlib.Index(space = 'cosine', dim = EMBEDDING_SIZE) # possible options are l2, cosine or ip
AttributeError: module 'hnswlib' has no attribute 'Index'
changing env didn't help
def vol_sphere(rad):
radf=float(rad)
return (int(str(4.0/3)*(3.14)(radf**3)))
OUTPUT
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-18-23740cf5751c> in <module>
----> 1 vol_sphere(2.3)
<ipython-input-17-e9beec0fa42c> in vol_sphere(rad)
1 def vol_sphere(rad):
2 radf=float(rad)
----> 3 return (int(str(4.0/3)*(3.14)(radf**3)))
TypeError: 'float' object is not callable
I am getting a strange (to my understanding) message when I try to drop a level from a multi-indexed pandas dataframe.
For a reproducible example:
toy.to_json()
'{"["ISRG","EPS_diluted"]":{"2004-12-31":0.33,"2005-01-28":0.33,"2005-03-31":0.25,"2005-04-01":0.25,"2005-04-29":0.25},"["DHR","EPS_diluted"]":{"2004-12-31":0.67,"2005-01-28":0.67,"2005-03-31":0.67,"2005-04-01":0.58,"2005-04-29":0.58},"["BDX","EPS_diluted"]":{"2004-12-31":0.75,"2005-01-28":0.75,"2005-03-31":0.72,"2005-04-01":0.72,"2005-04-29":0.72},"["SYK","EPS_diluted"]":{"2004-12-31":0.4,"2005-01-28":0.4,"2005-03-31":0.42,"2005-04-01":0.42,"2005-04-29":0.42},"["BSX","EPS_diluted"]":{"2004-12-31":0.35,"2005-01-28":0.35,"2005-03-31":0.42,"2005-04-01":0.42,"2005-04-29":0.42},"["BAX","EPS_diluted"]":{"2004-12-31":0.18,"2005-01-28":0.18,"2005-03-31":0.36,"2005-04-01":0.36,"2005-04-29":0.36},"["EW","EPS_diluted"]":{"2004-12-31":0.4,"2005-01-28":0.4,"2005-03-31":0.5,"2005-04-01":0.5,"2005-04-29":0.5},"["MDT","EPS_diluted"]":{"2004-12-31":0.44,"2005-01-28":0.45,"2005-03-31":0.45,"2005-04-01":0.45,"2005-04-29":0.16},"["ABT","EPS_diluted"]":{"2004-12-31":0.63,"2005-01-28":0.63,"2005-03-31":0.53,"2005-04-01":0.53,"2005-04-29":0.53}}'
toy.droplevel(level = 1, axis = 1)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-33-982eee5ba162> in <module>()
----> 1 toy.droplevel(level = 1, axis = 1)
C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\pandas\core\generic.py in __getattr__(self, name)
4370 if self._info_axis._can_hold_identifiers_and_holds_name(name):
4371 return self[name]
-> 4372 return object.__getattribute__(self, name)
4373
4374 def __setattr__(self, name, value):
AttributeError: 'DataFrame' object has no attribute 'droplevel'
Problem is the use of an older pandas version, because if you check DataFrame.droplevel:
New in version 0.24.0.
The solution is to use MultiIndex.droplevel:
toy.columns = toy.columns.droplevel(level = 1)