Sunday, 1 December 2024

FPP Assignment No 14 and 15


Problem Statement:
Develop a program to create a DataFrame from a NumPy array with custom column names.


import numpy as np import pandas as pd # Create a NumPy array data = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) # Define custom column names columns = ['Column A', 'Column B', 'Column C'] # Create a DataFrame df = pd.DataFrame(data, columns=columns) print("DataFrame created from NumPy array:") print(df)

2. Drawing a Bar Plot and Scatter Plot using Matplotlib


import matplotlib.pyplot as plt
# Data for plots categories = ['A', 'B', 'C', 'D'] values = [4, 7, 1, 8] x = [1, 2, 3, 4] y = [10, 20, 25, 30] # Bar Plot plt.figure(figsize=(8, 4)) plt.bar(categories, values, color='skyblue') plt.title("Bar Plot") plt.xlabel("Categories") plt.ylabel("Values") plt.show() # Scatter Plot plt.figure(figsize=(8, 4)) plt.scatter(x, y, color='red', label='Points') plt.title("Scatter Plot") plt.xlabel("X-axis") plt.ylabel("Y-axis") plt.legend() plt.show()

Explanation:

  1. DataFrame Creation:

    • The program uses np.array to create a data matrix.
    • Custom column names are passed to pd.DataFrame to create the DataFrame.
  2. Bar Plot:

    • A bar plot is drawn using plt.bar, with labels for categories and values.
  3. Scatter Plot:

    • A scatter plot is created using plt.scatter, with x and y as input points.

Let me know if you'd like to expand or modify these examples!

data structures and algorithms Web Developer

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