The matplotlib Library
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The document provides an introduction to the matplotlib library, detailing its capabilities for creating visualizations in Python. It discusses installation via pip, basic functions such as plot and show, and how to create figures and subplots. Additionally, it addresses turning on interactive mode for real-time programming feedback.
![© 2008 Haim Michael 20150729
The show Function
Once completed, calling show will draw the diagram on the
screen.
import matplotlib.pyplot as plt
import numpy as np
plt.plot([1,2,3,4], [4,3,2,1], label='linear')
plt.legend()
plt.show()](https://image.slidesharecdn.com/matplotlibmeetup20201014-201016020502/85/The-matplotlib-Library-5-320.jpg)
![© 2008 Haim Michael 20150729
The add_subplot Method
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot()
ax.scatter([1,2,3,4,5],[4,3,7,8,20])
plt.show()](https://image.slidesharecdn.com/matplotlibmeetup20201014-201016020502/85/The-matplotlib-Library-9-320.jpg)
The matplotlib Library
- 1. The matplotlib Library Haim Michael October 14th , 2020 All logos, trade marks and brand names used in this presentation belong to the respective owners. lifemichael
- 2. © 2008 Haim Michael 20150729 What is Matplotlib? Matplotlib is a library that allows us to create static, animated, and interactive visualizations in Python.
- 3. © 2008 Haim Michael 20150729 Installing Matplotlib The simplest way to install matplotlib would be to install it using the pip utility. pip install matplotlib
- 4. © 2008 Haim Michael 20150729 The plot Function There are various ways to use the matplotlib library for drawing diagrams. The simplest would be using the plot function, that was defined inside the matplotlib.pyplot module, passing over the x and the y coordinates.
- 5. © 2008 Haim Michael 20150729 The show Function Once completed, calling show will draw the diagram on the screen. import matplotlib.pyplot as plt import numpy as np plt.plot([1,2,3,4], [4,3,2,1], label='linear') plt.legend() plt.show()
- 6. © 2008 Haim Michael 20150729 The show Function
- 7. © 2008 Haim Michael 20150729 The Figure Class When instantiating matplotlib.figure.Figure class we get an object that represents a window (or a page) on which everything will be plotted.
- 8. © 2008 Haim Michael 20150729 The add_subplot Method We can invoke add_sublot on a Figure object in order to add axes for plotting a diagram.
- 9. © 2008 Haim Michael 20150729 The add_subplot Method import matplotlib.pyplot as plt import numpy as np fig = plt.figure() ax = fig.add_subplot() ax.scatter([1,2,3,4,5],[4,3,7,8,20]) plt.show()
- 10. © 2008 Haim Michael 20150729 The subplots Function We can invoke the sublots function that was defined in the matplotlib.pyplot module and get a tuple that holds a reference for a Figure object and a reference for an Axes object.
- 11. © 2008 Haim Michael 20150729 The subplots Function import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 2, 20) fig, ax = plt.subplots() ax.plot(x, x, label='x=x') ax.plot(x, x**2, label='x=x**2') ax.plot(x, x**3, label='x=x**3') ax.set_xlabel('x label') ax.set_ylabel('y label') ax.set_title("Simple Plot") ax.legend() plt.show()
- 12. © 2008 Haim Michael 20150729 The Interactive Mode We can turn on the interactive mode by calling the ion() function. Doing so when using a Python console we will be able to continue the execution of more statements in the Python Console and while doing so, get to see the immediate outcome.
- 13. © 2008 Haim Michael 20150729 The Interactive Mode
- 14. © 2008 Haim Michael 20150729 The plot() Function The plot() method that was defined inside the matplotlib.pyplot module can be invoked in various ways. The plot() method that was defined inside the matplotlib.pyplot module can be invoked in various ways.
- 15. © 2008 Haim Michael 20150729 The plot() Function import matplotlib.pyplot as plt import numpy as np t = np.arange(0, 4, 0.1) plt.plot(t, t, 'g--', t, t**2, 'bs', t, t**3, 'r^') plt.show()
- 16. © 2008 Haim Michael 20150729 Q & A Thanks! [email protected] 054-6655837 http://blog.lifemichael.com