NumPy version of “Exponential weighted moving average”, equivalent to pandas.ewm().mean()
How do I get the exponential weighted moving average in NumPy just like the following in pandas?
How do I get the exponential weighted moving average in NumPy just like the following in pandas?
Using matplotlib in python. The legend overlaps with my pie chart. Tried various options for “loc” such as “best” ,1,2,3… but to no avail. Any Suggestions as to how to either exactly mention the legend position (such as giving padding from the pie chart boundaries) or at least make sure that it does not overlap?
Assume I have a form
I have a hopefully straightforward question that has been giving me a lot of difficulty for the last 3 hours. It should be easy.
This is a question I have wondered about for quite some time, yet I have never found a suitable solution. If I run a script and I come across, let’s say an IndexError, python prints the line, location and quick description of the error and exits. Is it possible to automatically start pdb when an error is encountered? I am not against having an extra import statement at the top of the file, nor a few extra lines of code.
I am using split('n') to get lines in one string, and found that ''.split() returns an empty list, [], while ''.split('n') returns ['']. Is there any specific reason for such a difference?
Python 3.4 introduces a new module enum, which adds an enumerated type to the language. The documentation for enum.Enum provides an example to demonstrate how it can be extended:
df = pd.DataFrame({'Col1': ['Bob', 'Joe', 'Bill', 'Mary', 'Joe'], 'Col2': ['Joe', 'Steve', 'Bob', 'Bob', 'Steve'], 'Col3': np.random.random(5)}) What is the best way to return the unique values of ‘Col1’ and ‘Col2’? The desired output is 'Bob', 'Joe', 'Bill', 'Mary', 'Steve' Answers: Thank you for visiting the Q&A section on Magenaut. Please note that all the answers … Read more
Suppose I have a pandas data frame df:
I am trying to automatically download some links through selenium’s click functionality and I am using a chrome webdriver and python as the programming language. How can I select the download directory through the python program so that it does not get downloaded in the default Downloads directory. I found a solution for firefox but there the download dialog keeps popping up every time it clicks on the link which does not happen in Chrome.