One way is to use the get_level_values Index method: In [11]: df Out[11]: 0 A B 1 4 1 2 5 2 3 6 3 In [12]: df.iloc[df.index.get_level_values(‘A’) == 1] Out[12]: 0 A B 1 4 1 In 0.13 you’ll be able to use xs with drop_level argument: df.xs(1, level=”A”, drop_level=False) # axis=1 if columns … Read more
import inspect def foo(a, b, x=’blah’): pass print(inspect.signature(foo)) # (a, b, x=’blah’) Python 3.5+ recommends inspect.signature().
You can simply use pip install numpy Or for python3, use pip3 install numpy
pip will make your life easy! Step 1: Install pip – Check if you have pip already simply by writing pip in the python console. If you don’t have pip, get a python script called get-pip.py , via here: https://pip.pypa.io/en/latest/installing.html or directly here: https://bootstrap.pypa.io/get-pip.py (You may have to use Save As ..) Step 2: Take … Read more
Try the (unofficial) binaries in this site: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy You can get the newest numpy x64 with or without Intel MKL libs for Python 2.7 or Python 3.
Assuming one of the following: Spark is downloaded on your system and you have an environment variable SPARK_HOME pointing to it You have ran pip install pyspark Here is a simple method (If you don’t bother about how it works!!!) Use findspark Go to your python shell pip install findspark import findspark findspark.init() import the … Read more
A = [1,2,3,4,5,6] B = A[:len(A)//2] C = A[len(A)//2:] If you want a function: def split_list(a_list): half = len(a_list)//2 return a_list[:half], a_list[half:] A = [1,2,3,4,5,6] B, C = split_list(A)
You probably want list2.extend(list1) instead of list2.append(list1) Here’s the difference: >>> a = [1, 2, 3] >>> b = [4, 5, 6] >>> c = [7, 8, 9] >>> b.append(a) >>> b [4, 5, 6, [1, 2, 3]] >>> c.extend(a) >>> c [7, 8, 9, 1, 2, 3] Since list.extend() accepts an arbitrary iterable, you … Read more
Use: from collections import defaultdict d = defaultdict(lambda: defaultdict(int)) This will create a new defaultdict(int) whenever a new key is accessed in d.
This is what list comprehensions are for: numbers = [ int(x) for x in numbers ]