CS 472 Module 2: Simple Numpy Tunes Part 1

Module content developed by Professor Tralie. Module engine developed by Professor Tralie and Professor Mongan.

---

Please watch the video below, and click the Next button to continue when you're finished

linspace and arange¶

In [15]:

import numpy as np
import matplotlib.pyplot as plt
import IPython.display as ipd

In [10]:

## Generate 100 samples, equally spaced, starting at 0 and ending at 1
x = np.arange(100)/99
plt.plot(x)

Out[10]:

[<matplotlib.lines.Line2D at 0x23509506c50>]

In [11]:

print(x[0])
print(x[-1])

0.0
1.0

In [13]:

x = np.linspace(0, 1, 100)
plt.plot(x)
print(x[0])
print(x[-1])

0.0
1.0

In [14]:

## Ex) Take 32 equally spaced samples between -np.pi and np.pi
x = np.linspace(-np.pi, np.pi, 32)
plt.stem(x)

C:\ProgramData\Anaconda3\lib\site-packages\ipykernel_launcher.py:3: UserWarning: In Matplotlib 3.3 individual lines on a stem plot will be added as a LineCollection instead of individual lines. This significantly improves the performance of a stem plot. To remove this warning and switch to the new behaviour, set the "use_line_collection" keyword argument to True.
  This is separate from the ipykernel package so we can avoid doing imports until

Out[14]:

<StemContainer object of 3 artists>

In [ ]: