Informatics Practices
Execute the following codes and find out what happens ? (Libraries have been imported already ; plt is the alias name for matplotlib.pyplot)
A = np.arange(2, 20, 2)
B = np.log(A)
plt.plot(A, B)
Will this code produce error ? Why/Why not ?
PyPlot
1 Like
Answer
Executing the provided code will not produce an error. It will generate a plot of the logarithm of A against A itself.
Output
Explanation
The line A = np.arange(2, 20, 2) creates an array A using NumPy's arange() function. It starts from 2, increments by 2, and includes values up to 20. This results in the array [2, 4, 6, 8, 10, 12, 14, 16, 18]. Next, the line B = np.log(A) calculates the natural logarithm of each element in array A using NumPy's log() function and stores the results in array B. Finally, plt.plot(A, B) plots the values in array A along the x-axis and the corresponding values in array B along the y-axis using Matplotlib's plot() function.
Answered By
1 Like
Related Questions
What is 5 point summary ?
What is Boxplot ? How do you create it in Pyplot ?
Execute the following codes and find out what happens ? (Libraries have been imported already ; plt is the alias name for matplotlib.pyplot)
A = np.arange(2, 20, 2) B = np.log(A) plt.bar(A, B)Will this code produce error ? Why/Why not ?
Execute the following codes and find out what happens ? (Libraries have been imported already ; plt is the alias name for matplotlib.pyplot)
X = np.arange(1, 18, 2.655) B = np.log(X) plt.scatter(X, Y)Will this code produce error ? Why/Why not ?