unhashable type: ‘dict’ Type Error [duplicate]
dic.values() return list of dict So, you can’t apply set on dict as dict is not hashable. Btw you can fix it by: For python > 3.x
dic.values() return list of dict So, you can’t apply set on dict as dict is not hashable. Btw you can fix it by: For python > 3.x
You have to return a redirect: See the documentation on flask docs. The default value for code is 302 so code=302 can be omitted or replaced by other redirect code (one in 301, 302, 303, 305, and 307).
It is a string formatting syntax (which it borrows from C). Please see “PyFormat”: Python supports formatting values into strings. Although this can include very complicated expressions, the most basic usage is to insert values into a string with the %s placeholder. Edit: Here is a really simple example: The %s token allows me to insert (and potentially format) a string. … Read more
Try: Since the shape parameter has to be an int or sequence of ints http://docs.scipy.org/doc/numpy/reference/generated/numpy.zeros.html Otherwise you are passing ncols to np.zeros as the dtype.
I’m running my Appium script with Python instead of py.test because py.test does not play nicely with variables I want to get from a text file. When I run my script with Python everything works except that my first method always has an error. Does anyone know how to fix the following error?
Tensorflow only supports the 64-bit version of Python Tensorflow only supports Python 3.5 to 3.8 So, if you’re using an out-of-range version of Python (older or newer) or a 32-bit version, then you’ll need to use a different version.
You can totally do that. It’s just an ordering issue: In general, And, for list comprehensions with if conditions only, Note that this actually uses a different language construct, a conditional expression, which itself is not part of the comprehension syntax, while the if after the for…in is part of list comprehensions and used to … Read more
I have been using the scikit-learn library. I’m trying to use the Gaussian Naive Bayes Module under the scikit-learn library but I’m running into the following error. TypeError: cannot perform reduce with flexible type Below is the code snippet. This is target This is trainData Below is the stack trace
In Python 3.x and 2.x you can use use list to force a copy of the keys to be made: In Python 2.x calling keys made a copy of the keys that you could iterate over while modifying the dict: But note that in Python 3.x this second method doesn’t help with your error because … Read more