Python Array Data Structure
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A Python Array Data Structure is an array data structure that is a Python data structure.
- Context:
- It can range from being a Python Built-In Array to being a Python Library Array to being a Python Custom Array.
- It can support a Python Array Operation.
- It can be the input to an Array-input Python Subroutine, such as a Python Join Subroutine.
- It can range from being
- a Python Tuple,
- a Python Vector,
- a Python Array of Arrays, such as a Python Matrix,
- a Python Array of Hashes.
- Example(s):
- Counter-Example(s):
- See: Python Coding Example, Python Built-In Datatype.
References
Examples
- Import libraries
import numpy as np import pandas as pd
df = pd.DataFrame(columns=['col1','col2']) df = pd.DataFrame(np.zeros(0, dtype=[('col1', 'i7'),('col2', 'a50')]))
- Populate manually
Matrix = [ [0 for x in xrange(5)] for y in xrange(6)] Matrix[4][3] = 99 Matrix xx = np.array([2, 4, -11]) yy = zeros(3, Int) # Create empty array ready to receive result
- Populate from a file.
- Loops
for i in range(0, 3): Matrix[i] = i * 2 print yy # [ 4 8 -22]
- Transforming into a string
- Emptying
- Random
import random; #Generate 1000 random integer numbers which are between 1 and 9999(included). Z=random.sample(range(1,9999),1000); type(Z)