notebook.community

Edit and run

Visualization 1: Matplotlib Basics Exercises





In [1]:



    


%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np

Scatter plots

Learn how to use Matplotlib's plt.scatter function to make a 2d scatter plot.

  • Generate random data using np.random.randn.
  • Style the markers (color, size, shape, alpha) appropriately.
  • Include an x and y label and title.




In [10]:



    


x = np.random.randn(100)
y = np.random.randn(100)
plt.scatter(x, y, marker='*', color='red');

Histogram

Learn how to use Matplotlib's plt.hist function to make a 1d histogram.

  • Generate randpom data using np.random.randn.
  • Figure out how to set the number of histogram bins and other style options.
  • Include an x and y label and title.




In [13]:



    


x = np.random.randn(100)
plt.hist(x, bins=5);



    


















    
























In [ ]:

Content source: jupyter/strata-sv-2015-tutorial

Similar notebooks:

notebook.community | gallery | about