#!/usr/bin/env python
# coding: utf-8

# In[1]:


# Sorting Arrays
# Fast Sorting in NumPy: np.sort and np.argsort

import numpy as np

a = np.array([1, 9, 0, 7, 3, 5])
sort = np.sort(a)
print(sort)


# In[3]:


# If you want the sorted index then use np.argsort

index = np.argsort(a)
print(index)


# In[11]:


# Sorting along rows or columns

X = rand.randint(0, 10, (4, 6))      
print(X)
print("-----------------------------------")
# sort each column of X
a = np.sort(X, axis=0)
print(a)
print("-----------------------------------")
# sort each row of X 
b = np.sort(X, axis =1)
print(b)


# In[13]:


# Partial Sorts: Partitioning
x = np.array([7, 2, 3, 1, 6, 5, 4])   
print(x)
print("------------------------------")
a = np.partition(x, 3)
print(a)

# NumPy provides this in the np.partition function. 
# np.partition takes an array and a number K; the result is a new array with the smallest K values to the left of the partition,
# and the remaining values to the right, in arbitrary order:


# In[14]:


b = np.partition(X, 2, axis=1)
print(b)