81 metabolite exercise part 02

https://vlrtraining.com/courses/python-data-science-beginner-tutorial

In [1]:

import numpy as np
x = np.arange(0,100)
y = x*2
z = x**2

In [2]:

import matplotlib.pyplot as plt
%matplotlib inline

Exercise 3¶

Create the plot below by adding two axes to a figure object at [0,0,1,1] and [0.2,0.5,.4,.4]

In [3]:

In [8]:

fig = plt.figure()

ax = fig.add_axes([0,0,1,1])
ax2 = fig.add_axes([0.2,0.5,.4,.4])

Now use x,y, and z arrays to recreate the plot below. Notice the xlimits and y limits on the inserted plot:

In [4]:

Out[4]:

In [10]:

ax.plot(x,z)
ax.set_xlabel('X')
ax.set_ylabel('Z')


ax2.plot(x,y)
ax2.set_xlabel('X')
ax2.set_ylabel('Y')
ax2.set_title('zoom')
ax2.set_xlim(20,22)
ax2.set_ylim(30,50)

fig

Out[10]:

Exercise 4¶

Use plt.subplots(nrows=1, ncols=2) to create the plot below.

In [5]:

In [11]:

# Empty canvas of 1 by 2 subplots
fig, axes = plt.subplots(nrows=1, ncols=2)

Now plot (x,y) and (x,z) on the axes. Play around with the linewidth and style

In [6]:

Out[6]:

In [12]:

axes[0].plot(x,y,color="blue", lw=3, ls='--')
axes[1].plot(x,z,color="red", lw=3, ls='-')
fig

Out[12]:

See if you can resize the plot by adding the figsize() argument in plt.subplots() are copying and pasting your previous code.

In [7]:

Out[7]:

Text(0,0.5,'z')

In [ ]:

fig, axes = plt.subplots(nrows=1, ncols=2,figsize=(12,2))

axes[0].plot(x,y,color="blue", lw=5)
axes[0].set_xlabel('x')
axes[0].set_ylabel('y')

axes[1].plot(x,z,color="red", lw=3, ls='--')
axes[1].set_xlabel('x')
axes[1].set_ylabel('z')