MATPLOTLIB is a library to plot data in Python. Which one of the following is correct regarding
importing the library?
a import matplotlib.pyplot as plt
b. from matplotlib import pyplot as myplot
c. from matplotlib import *
d. All of these
Answers
Answer:
the answer B and C are correct
you can import all the modules of the matplotlib library like this :
'from matplotlib import * ' ( ' * ' refers/means all)
or you can import a specific module like so:
'from matplotlib import pyplot as myplot'
Answer:
import NumPy as np
import matplotlib.pyplot as plt
# Create NumPy array for x
x = np.linspace(-10, 10, 100)
# Create a list of y = x^2 using list comprehension
y = [i*i for i in x]
# Plot
plt.plot(x, y)
plt.show()
Explanation:
For 2D displays of arrays, Matplotlib is a fantastic Python visualisation package. A multi-platform data visualisation package called Matplotlib was created to deal with the larger SciPy stack and is based on NumPy arrays. In the year 2002, John Hunter first presented it.
One of the visualization's biggest advantages is that it gives us visual access to vast volumes of data in forms that are simple to understand. There are several plots in Matplotlib, including line, bar, scatter, histogram, etc.
A Python charting package called Matplotlib has a number of command-style techniques that enable it to function much like MATLAB. It offers an object-oriented API that may be used to include charts in programmes using multipurpose GUI toolkits. Each #pyplot# function alters the figures in some manner, whether it is by creating a figure, a plot area within the figure, charting some lines within the plot area, adorning the plot with labels, etc.
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