Pandas column access w/column names containing spaces
If I import or create a pandas column that contains no spaces, I can access it as such:
python
Finding what methods a Python object has
Given a Python object of any kind, is there an easy way to get the list of all methods that this object has?
Call a Python method by name
If I have an object and a method name in a string, how can I call the method?
How to implement custom indentation when pretty-printing with the JSON module?
So I’m using Python 2.7, using the json module to encode the following data structure:
Check if any alert exists using selenium with python
I’m trying to write a test with selenium in python language for a web page that manages users. In this page someone can add role for users and if a role exists while adding it, an alert raises. I don’t know if the alert is a javascript alert or an element of the web page. I want to automatically check the existence of the alert, because checking for the role in the list wastes time and has an enormous load. I tried this:
Is there a way to pass optional parameters to a function?
Is there a way in Python to pass optional parameters to a function while calling it and in the function definition have some code based on “only if the optional parameter is passed”
Expand Python Search Path to Other Source
I have just joined a project with a rather large existing code base. We develop in linux and do not use and IDE. We run through the command line. I’m trying to figure out how to get python to search for the right path when I run project modules. For instance, when I run something like:
Iterate over object attributes in python
I have a python object with several attributes and methods. I want to iterate over object attributes. class my_python_obj(object): attr1='a' attr2='b' attr3='c' def method1(self, etc, etc): #Statements I want to generate a dictionary containing all of the objects attributes and their current values, but I want to do it in a dynamic way (so if … Read more
Python parse CSV ignoring comma with double-quotes
I have a CSV file with lines like this:
Why is “if not someobj:” better than “if someobj == None:” in Python?
I’ve seen several examples of code like this: