¶

In [1]:

from pylab import plt
plt.style.use('seaborn')
import matplotlib as mpl
mpl.rcParams['font.family'] = 'serif'

¶

In [2]:

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

¶

In [3]:

np.random.seed(1000)
y = np.random.standard_normal(20)

In [4]:

x = range(len(y))
plt.plot(x, y)
# tag: matplotlib_0
# title: Plot given x- and y-values

Out[4]:

[<matplotlib.lines.Line2D at 0x110382fd0>]

In [5]:

plt.plot(y)
# tag: matplotlib_1
# title: Plot given data as 1d-array

Out[5]:

[<matplotlib.lines.Line2D at 0x11047f5c0>]

In [6]:

plt.plot(y.cumsum())
# tag: matplotlib_2
# title: Plot given a 1d-array with method attached

Out[6]:

[<matplotlib.lines.Line2D at 0x1104e6ac8>]

In [7]:

plt.plot(y.cumsum())
plt.grid(True)  # adds a grid
plt.axis('tight')  # adjusts the axis ranges
# tag: matplotlib_3_a
# title: Plot with grid and tight axes

Out[7]:

(-0.95000000000000007,
 19.949999999999999,
 -2.3228186637490449,
 0.56550858086558653)

In [8]:

plt.plot(y.cumsum())
plt.grid(True)
plt.xlim(-1, 20)
plt.ylim(np.min(y.cumsum()) - 1,
         np.max(y.cumsum()) + 1)
# tag: matplotlib_3_b
# title: Plot with custom axes limits

Out[8]:

(-3.1915310617211072, 1.4342209788376488)

In [9]:

plt.figure(figsize=(7, 4))
  # the figsize parameter defines the
  # size of the figure in (width, height)
plt.plot(y.cumsum(), 'b', lw=1.5)
plt.plot(y.cumsum(), 'ro')
plt.grid(True)
plt.axis('tight')
plt.xlabel('index')
plt.ylabel('value')
plt.title('A Simple Plot')
# tag: matplotlib_4
# title: Plot with typical labels

Out[9]:

Text(0.5,1,'A Simple Plot')

¶

In [10]:

np.random.seed(2000)
y = np.random.standard_normal((20, 2)).cumsum(axis=0)

In [11]:

plt.figure(figsize=(7, 4))
plt.plot(y, lw=1.5)
  # plots two lines
plt.plot(y, 'ro')
  # plots two dotted lines
plt.grid(True)
plt.axis('tight')
plt.xlabel('index')
plt.ylabel('value')
plt.title('A Simple Plot')
# tag: matplotlib_5
# title: Plot with two data sets

Out[11]:

Text(0.5,1,'A Simple Plot')

In [12]:

plt.figure(figsize=(7, 4))
plt.plot(y[:, 0], lw=1.5, label='1st')
plt.plot(y[:, 1], lw=1.5, label='2nd')
plt.plot(y, 'ro')
plt.grid(True)
plt.legend(loc=0)
plt.axis('tight')
plt.xlabel('index')
plt.ylabel('value')
plt.title('A Simple Plot')
# tag: matplotlib_6
# title: Plot with labeled data sets

Out[12]:

Text(0.5,1,'A Simple Plot')