fitting data with numpy
Let me start by telling that what I get may not be what I expect and perhaps you can help me here. I have the following data:
Let me start by telling that what I get may not be what I expect and perhaps you can help me here. I have the following data:
How do I retrive the top 3 list from a dictionary?
I’m trying to extract publication years ISI-style data from the Thomson-Reuters Web of Science. The line for “Publication Year” looks like this (at the very beginning of a line):
I would like to give users of my simple program the opportunity to open a help file to instruct them on how to fully utilize my program. Ideally i would like to have a little blue help link on my GUI that could be clicked at any time resulting in a .txt file being opened in a native text editor, notepad for example.
If I have a numpy array like this: [2.15295647e+01, 8.12531501e+00, 3.97113829e+00, 1.00777250e+01] how can I move the decimal point and format the numbers so I end up with a numpy array like this: [21.53, 8.13, 3.97, 10.08] np.around(a, decimals=2) only gives me [2.15300000e+01, 8.13000000e+00, 3.97000000e+00, 1.00800000e+01] Which I don’t want and I haven’t found another … Read more
I am interested to trigger a certain action upon receiving an email from specific
address with specific subject. In order to be able to do so I need to implement
monitoring of my mailbox, checking every incoming mail (in particular, i use gmail).
what is the easiest way to do that?
I have a Python script which uses Tkinter for the GUI. My little script should create a Toplevel widget every X seconds. When I run my code, the first Toplevel widget is created successfully, but when it tries to create a second one the program crashes.
I’m actually trying doing this in Java, but I’m in the process of teaching myself python and it made me wonder if there was an easy/clever way to do this with wrappers or something.
I wanted to know if there are any built-in ways to continue to next iteration in outer loop in python. For example, consider the code:
I have for example the following list: