In Python, you can do: In Python 3.5, you can do: And then: Will always be true. Unless of course, as pointed out, x is also infinity or “nan” (“not a number”). Additionally (Python 2.x ONLY), in a comparison to Ellipsis, float(inf) is lesser, e.g: would return true.
Let me give some information on them: quit() simply raises the SystemExit exception.Furthermore, if you print it, it will give a message:>>> print (quit) Use quit() or Ctrl-Z plus Return to exit >>> This functionality was included to help people who do not know Python. After all, one of the most likely things a newbie will try to … Read more
For problems where it seems to be an error on a line you think is correct, you can often remove/comment the line where the error appears to be and, if the error moves to the next line, there are two possibilities. Either both lines have a problem or the previous line has a problem which is being carried forward. … Read more
The SettingWithCopyWarning was created to flag potentially confusing “chained” assignments, such as the following, which does not always work as expected, particularly when the first selection returns a copy. [see GH5390 and GH5597 for background discussion.] The warning offers a suggestion to rewrite as follows: However, this doesn’t fit your usage, which is equivalent to: While it’s clear that you don’t care … Read more
Your problem is that you installed two different Pythons, a 32-bit 3.6, and a 64-bit 3.6. The first pip on your PATH is the one for the 32-bit 3.6. So, when you pip install numpy, it’s downloading the 32-bit NumPy, and installing into the site-packages for the 32-bit Python. But your py launcher is defaulting to running the 64-bit 3.6, … Read more
The way is or in short Using sudo will ask to enter your root password to confirm the action, but although common, is considered unsafe. If you do not have a root password (if you are not the admin) you should probably work with virtualenv. You can also use the user flag to install it on this user only.
The SettingWithCopyWarning was created to flag potentially confusing “chained” assignments, such as the following, which does not always work as expected, particularly when the first selection returns a copy. [see GH5390 and GH5597 for background discussion.] The warning offers a suggestion to rewrite as follows: However, this doesn’t fit your usage, which is equivalent to: While it’s clear that you don’t care … Read more
Support for Python 3 was added in NumPy version 1.5.0, so to begin with, you must download/install a newer version of NumPy. Or simply using pip:
ou will also have to look in your system path. Python puts itself there and does not remove itself: http://www.computerhope.com/issues/ch000549.htm Your problems probably started because your python path is pointing to the wrong one.
Numpy ndarrays are meant for all elements to have the same length. In this case, your second array doesn’t contain lists of the same length, so it ends up being a 1-D array of lists, as opposed to a “proper” 2-D array. From the Numpy docs on N-dimensional arrays: An ndarray is a (usually fixed-size) multidimensional … Read more