Get the nth item of a generator in Python
Is there a more syntactically concise way of writing the following?
Python
conda install python=3.6 UnsatisfiableError
I currently have Python 3.5.2 installed via Anaconda Continuum. I’m trying to upgrade to Python 3.6 but I’m getting the below error when I try to run conda install python=3.6:
Mapping columns from one dataframe to another to create a new column
i have a dataframe id store address 1 100 xyz 2 200 qwe 3 300 asd 4 400 zxc 5 500 bnm i have another dataframe df2 serialNo store_code warehouse 1 300 Land 2 500 Sea 3 100 Land 4 200 Sea 5 400 Land I want my final dataframe to look like: id store … Read more
Subtracting two lists in Python
In Python, How can one subtract two non-unique, unordered lists? Say we have a = [0,1,2,1,0] and b = [0, 1, 1] I’d like to do something like c = a - b and have c be [2, 0] or [0, 2] order doesn’t matter to me. This should throw an exception if a does not contain all elements in b.
Overriding append method after inheriting from a Python List
I want to create a list that can only accept certain types. As such, I’m trying to inherit from a list in Python, and overriding the append() method like so:
Is there any Python equivalent to partial classes?
Using “new” style classes (I’m in python 3.2) is there a way to split a class over multiple files? I’ve got a large class (which really should be a single class from an object-oriented design perspective, considering coupling, etc, but it’d be nice to split over a few files just for ease of editing the class.
What does the random.sample() method in Python do?
I want to know the use of random.sample() method and what does it give? When should it be used and some example usage.
Renaming columns in a Pandas dataframe with duplicate column names?
I have a df X with columns with duplicate names:
ValueError: invalid literal for int() with base 10: ‘stop’
Every time I try me code it works but when I type in 'stop' it gives me an error:
Split function add: xefxbbxbf…n to my list
I want to open my file.txt and split all data from this file.