![Practical of Python
welcome
Take two NumPy arrays having two dimensions. Concatenate the arrays
on axis 1
# Importing the NumPy library
import numpy as np
# Creating the first 2D NumPy array (2 rows, 3 columns)
array1 = np.array([[1, 2, 3],
[4, 5, 6]])
# Creating the second 2D NumPy array (2 rows, 2 columns)
array2 = np.array([[7, 8],
[9, 10]])
# Concatenating the arrays along axis 1 (columns)
# Both arrays must have the same number of rows (axis 0)
result = np.concatenate((array1, array2), axis=1)
# Printing the result
print("Concatenated Array (axis=1):")
print(result)
output –
Concatenated Array (axis=1):
[[ 1 2 3 7 8]
[ 4 5 6 9 10]]](https://image.slidesharecdn.com/practicalpython-250624092301-7b473e37/85/Write-a-NumPy-program-to-find-the-most-frequent-value-in-an-array-Take-two-NumPy-arrays-having-two-dimensions-Concatenate-the-arrays-on-axis-1-1-320.jpg)
![Write a NumPy program to find the most frequent value in an
array.
# Importing NumPy
import numpy as np
# Create a 1D NumPy array with some repeated values
array = np.array([1, 3, 2, 3, 4, 3, 5, 2, 2, 2, 4, 5, 2])
# Use np.unique to find all unique values and their counts
values, counts = np.unique(array, return_counts=True)
# Find the index of the maximum count
max_count_index = np.argmax(counts)
# The most frequent value is the one with the highest count
most_frequent = values[max_count_index]
# Print the result
print("The most frequent value in the array is:", most_frequent)
output –
The most frequent value in the array is: 2
Write a program to replace ‘a’ with ‘b’, ‘b’ with ‘c’,….,’z’ with ‘a’ and
similarly for ‘A’ with ‘B’,’B’ with ‘C’, …., ‘Z’ with ‘A’ in a file. The other
characters should remain unchanged.
# Function to shift letters to the next character in the alphabet
def shift_letter(char):](https://image.slidesharecdn.com/practicalpython-250624092301-7b473e37/85/Write-a-NumPy-program-to-find-the-most-frequent-value-in-an-array-Take-two-NumPy-arrays-having-two-dimensions-Concatenate-the-arrays-on-axis-1-2-320.jpg)
![alphabet_count = sum(1 for char in content if char.isalpha())
# Count blank spaces
space_count = content.count(' ')
# Count lowercase letters
lowercase_count = sum(1 for char in content if char.islower())
# Split into words
words = content.split()
# Count words starting with a vowel
vowels = 'aeiouAEIOU'
vowel_start_count = sum(1 for word in words if word and word[0] in vowels)
# Count occurrences of the word "hello" (case-insensitive)
hello_count = sum(1 for word in words if word.lower() == 'hello')
# Print results
print("Alphabet characters:", alphabet_count)
print("Blank spaces:", space_count)
print("Lowercase letters:", lowercase_count)
print("Words starting with a vowel:", vowel_start_count)
print("Occurrences of the word 'hello':", hello_count)
# Call the function
analyze_file()
input - Hello there! How are you? hello Hello hi elephant awesome.
Output - Alphabet characters: 46
Blank spaces: 8
Lowercase letters: 34
Words starting with a vowel: 3
Occurrences of the word 'hello': 3](https://image.slidesharecdn.com/practicalpython-250624092301-7b473e37/85/Write-a-NumPy-program-to-find-the-most-frequent-value-in-an-array-Take-two-NumPy-arrays-having-two-dimensions-Concatenate-the-arrays-on-axis-1-4-320.jpg)
Write a NumPy program to find the most frequent value in an array. Take two NumPy arrays having two dimensions. Concatenate the arrays on axis 1.
- 1. Practical of Python welcome Take two NumPy arrays having two dimensions. Concatenate the arrays on axis 1 # Importing the NumPy library import numpy as np # Creating the first 2D NumPy array (2 rows, 3 columns) array1 = np.array([[1, 2, 3], [4, 5, 6]]) # Creating the second 2D NumPy array (2 rows, 2 columns) array2 = np.array([[7, 8], [9, 10]]) # Concatenating the arrays along axis 1 (columns) # Both arrays must have the same number of rows (axis 0) result = np.concatenate((array1, array2), axis=1) # Printing the result print("Concatenated Array (axis=1):") print(result) output – Concatenated Array (axis=1): [[ 1 2 3 7 8] [ 4 5 6 9 10]]
- 2. Write a NumPy program to find the most frequent value in an array. # Importing NumPy import numpy as np # Create a 1D NumPy array with some repeated values array = np.array([1, 3, 2, 3, 4, 3, 5, 2, 2, 2, 4, 5, 2]) # Use np.unique to find all unique values and their counts values, counts = np.unique(array, return_counts=True) # Find the index of the maximum count max_count_index = np.argmax(counts) # The most frequent value is the one with the highest count most_frequent = values[max_count_index] # Print the result print("The most frequent value in the array is:", most_frequent) output – The most frequent value in the array is: 2 Write a program to replace ‘a’ with ‘b’, ‘b’ with ‘c’,….,’z’ with ‘a’ and similarly for ‘A’ with ‘B’,’B’ with ‘C’, …., ‘Z’ with ‘A’ in a file. The other characters should remain unchanged. # Function to shift letters to the next character in the alphabet def shift_letter(char):
- 3. if 'a' <= char <= 'z': return 'a' if char == 'z' else chr(ord(char) + 1) elif 'A' <= char <= 'Z': return 'A' if char == 'Z' else chr(ord(char) + 1) else: return char # Leave other characters unchanged # Read from input file with open('input.txt', 'r') as file: content = file.read() # Apply the shift to each character shifted_content = ''.join(shift_letter(c) for c in content) # Write to output file with open('output.txt', 'w') as file: file.write(shifted_content) print("File transformation complete. Check 'output.txt'.") input - Hello, World! Zebra. Output - Ifmmp, Xpsme! Afcsb. Write a function that reads the contents of the file f3.txt and counts the number of alphabets, blank spaces, lowercase letters, number of words starting with a vowel and number of occurrences of a work “hello”. def analyze_file(filename='f3.txt'): # Open and read the file with open(filename, 'r') as file: content = file.read() # Count alphabets
- 4. alphabet_count = sum(1 for char in content if char.isalpha()) # Count blank spaces space_count = content.count(' ') # Count lowercase letters lowercase_count = sum(1 for char in content if char.islower()) # Split into words words = content.split() # Count words starting with a vowel vowels = 'aeiouAEIOU' vowel_start_count = sum(1 for word in words if word and word[0] in vowels) # Count occurrences of the word "hello" (case-insensitive) hello_count = sum(1 for word in words if word.lower() == 'hello') # Print results print("Alphabet characters:", alphabet_count) print("Blank spaces:", space_count) print("Lowercase letters:", lowercase_count) print("Words starting with a vowel:", vowel_start_count) print("Occurrences of the word 'hello':", hello_count) # Call the function analyze_file() input - Hello there! How are you? hello Hello hi elephant awesome. Output - Alphabet characters: 46 Blank spaces: 8 Lowercase letters: 34 Words starting with a vowel: 3 Occurrences of the word 'hello': 3