PIAIC-assigment-2#!/usr/bin/env python

coding: utf-8

# Numpy_Assignment_2::

## Question:1

### Convert a 1D array to a 2D array with 2 rows?

#### Desired output::

array([[0, 1, 2, 3, 4],

[5, 6, 7, 8, 9]])

In[10]:

import numpy as np

In[26]:

arr = np. array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

In[23]:

arr = np. reshape(arr, (2, 5))

In[24]:

print(arr)

## Question:2

### How to stack two arrays vertically?

#### Desired Output::

array([[0, 1, 2, 3, 4], [5, 6, 7, 8, 9], [1, 1, 1, 1, 1], [1, 1, 1, 1, 1]])

In[115]:

x = [[0, 1, 2, 3, 4] , [5, 6, 7, 8, 9]]

In[114]:

arr_1 = np.array(x)

In[113]:

y = [[1, 1, 1, 1, 1] , [1, 1, 1, 1, 1]]

In[116]:

arr_2 = np.array(y)

In[117]:

np.vstack((arr_1,arr_2))

## Question:3

### How to stack two arrays horizontally?

#### Desired Output::

array([[0, 1, 2, 3, 4, 1, 1, 1, 1, 1], [5, 6, 7, 8, 9, 1, 1, 1, 1, 1]])

In[112]:

np.hstack((arr_1,arr_2))

## Question:4

### How to convert an array of arrays into a flat 1d array?

#### Desired Output::

array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

In[169]:

print(arr.ndim,"Dimension") print(arr) arr = arr.flatten() print(arr.ndim,"Dimension") arr

## Question:5

### How to Convert higher dimension into one dimension?

#### Desired Output::

array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14])

In[200]:

arr = np.arange(15).reshape(-1) arr

## Question:6

### Convert one dimension to higher dimension?

#### Desired Output::

array([[ 0, 1, 2], [ 3, 4, 5], [ 6, 7, 8], [ 9, 10, 11], [12, 13, 14]])

In[197]:

arr = np.arange(15).reshape(-1,3) arr

## Question:7

### Create 5x5 an array and find the square of an array?

In[201]:

arr = np.arange(25).reshape(5,5) print(arr) np.square(arr)

## Question:8

### Create 5x6 an array and find the mean?

In[225]:

np.random.seed(123) arr = np.random.randint(30,size = (5,6)) print(arr) arr.mean()

## Question:9

### Find the standard deviation of the previous array in Q8?

In[218]:

np.std(arr)

## Question:10

### Find the median of the previous array in Q8?

In[222]:

np.median(a)

## Question:11

### Find the transpose of the previous array in Q8?

In[226]:

arr.T

## Question:12

### Create a 4x4 an array and find the sum of diagonal elements?

In[228]:

arr = np.arange(16).reshape(4,4) print(arr) np.diagonal(arr)

## Question:13

### Find the determinant of the previous array in Q12?

In[229]:

np.linalg.det(arr)

## Question:14

### Find the 5th and 95th percentile of an array?

In[230]:

arr = np.arange(10) print(arr) print(np.percentile(arr,5)) print(np.percentile(arr,95))

## Question:15

### How to find if a given array has any null values?

In[256]:

empty_array= np.array print(array) is_empty = (empty_array) print(is_empty)