1、Introduction to Matplotlib and basic line
import matplotlib.pyplot as plt
fig = plt.figure(figsize = (10,6))
ax1 = fig.add_subplot(221)
ax2 = fig.add_subplot(222)
ax3 = fig.add_subplot(212)
x = [1, 2, 3]
y = [5, 7, 4]
ax1.plot(x,x,'r')
ax1.grid(True, color = 'g')
ax2.plot(x,y,'b')
ax2.grid(True, color = 'g')
ax3.plot(x,y,'y')
ax3.grid(True, color = 'g')
plt.show()
2、Legends, Titles, and Labels with Matplotlib
import matplotlib.pyplot as plt
x = [1,2,3]
y = [5,7,4]
x2 = [1,2,3]
y2 = [10,14,12]
fig = plt.figure(figsize = (8,5) )
plt.plot(x, y, label='First Line')
plt.plot(x2, y2, label='Second Line')
plt.xlabel('Plot Number')
plt.ylabel('Important var')
plt.title('Interesting Graph
Check it out')
plt.legend()
plt.legend(loc = 'upper left')
plt.show()
3、Bar Charts and Histograms with Matplotlib
import matplotlib.pyplot as plt
fig = plt.figure(figsize = (10,6) )
plt.bar([1,3,5,7,9],[5,2,7,8,2], label="Example one")
plt.bar([2,4,6,8,10],[8,6,2,5,6], label="Example two", color='g')
plt.legend()
plt.xlabel('bar number')
plt.ylabel('bar height')
plt.title('Epic Graph
Another Line! Whoa')
plt.show()
import matplotlib.pyplot as plt
population_ages = [22,55,62,45,21,22,34,42,42,4,99,102,110,120,121,122,130,111,115,112,80,75,65,54,44,43,42,48]
bins = [0,10,20,30,40,50,60,70,80,90,100,110,120,130]
plt.hist(population_ages, bins, histtype='bar', rwidth=0.8)
plt.xlabel('x')
plt.ylabel('y')
plt.title('Interesting Graph
Check it out')
plt.legend()
plt.show()
C:UsersxxzAnaconda3libsite-packagesmatplotlibaxes\_axes.py:531: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.
warnings.warn("No labelled objects found. "
4、Scatter Plots with Matplotlib
import matplotlib.pyplot as plt
import numpy as np
plt.figure(figsize=(9, 6))
n = 1024
#rand and randn rand is uniform distribution randn means Gussian distribution
X = np.random.randn(1, n)
Y = np.random.randn(1, n)
T = np.arctan2(Y, X)
#alpha is transparent ability of dots
#c reprensents color of dots
plt.scatter(X, Y, s=50, c=T, alpha=.4, marker='o')
plt.xlabel('x')
plt.ylabel('y')
plt.title('Interesting Graph
Check it out')
plt.legend()
plt.show()
C:UsersxxzAnaconda3libsite-packagesmatplotlibaxes\_axes.py:531: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.
warnings.warn("No labelled objects found. "
5、Stack Plots with Matplotlib
import matplotlib.pyplot as plt
days = [1,2,3,4,5]
sleeping = [7,8,6,11,7]
eating = [2,3,4,3,2]
working = [7,8,7,2,2]
playing = [8,5,7,8,13]
plt.stackplot(days, sleeping,eating,working,playing, colors=['m','c','r','k'])
plt.xlabel('x')
plt.ylabel('y')
plt.title('Interesting Graph
Check it out')
plt.show()
import matplotlib.pyplot as plt
days = [1,2,3,4,5]
sleeping = [7,8,6,11,7]
eating = [2,3,4,3,2]
working = [7,8,7,2,2]
playing = [8,5,7,8,13]
plt.plot([],[],color='m', label='Sleeping', linewidth=5)
plt.plot([],[],color='c', label='Eating', linewidth=5)
plt.plot([],[],color='r', label='Working', linewidth=5)
plt.plot([],[],color='k', label='Playing', linewidth=5)
plt.stackplot(days, sleeping,eating,working,playing, colors=['m','c','r','k'])
plt.xlabel('x')
plt.ylabel('y')
plt.title('Interesting Graph
Check it out')
plt.legend()
plt.show()
6、Pie Charts with Matplotlib
import matplotlib.pyplot as plt
slices = [7,2,2,13]
activities = ['sleeping','eating','working','playing']
cols = ['c','m','r','b']
plt.pie(slices,
labels=activities,
colors=cols,
startangle=90,
shadow= True,
explode=(0,0.1,0,0),
autopct='%1.1f%%')
plt.title('Interesting Graph
Check it out')
plt.show()
7、Loading Data from Files for Matplotlib
import matplotlib.pyplot as plt
import csv
fig = plt.figure(figsize = (10,6))
x = []
y = []
with open('example.txt','r') as csvfile:
plots = csv.reader(csvfile, delimiter=',')
for row in plots:
x.append(int(row[0]))
print(x)
y.append(int(row[1]))
print(y)
plt.plot(x,y, label='Loaded from file!')
plt.xlabel('x')
plt.ylabel('y')
plt.title('Interesting Graph
Check it out')
plt.legend()
plt.show()
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure(figsize = (10,6))
x, y = np.loadtxt('example.txt', delimiter=',', unpack=True)
plt.plot(x,y, label='Loaded from file!')
plt.xlabel('x')
plt.ylabel('y')
plt.title('Interesting Graph
Check it out')
plt.legend()
plt.show()
[1]
[5]
[1, 2]
[5, 2]
[1, 2, 3]
[5, 2, 4]
[1, 2, 3, 4]
[5, 2, 4, 8]
[1, 2, 3, 4, 5]
[5, 2, 4, 8, 3]
[1, 2, 3, 4, 5, 6]
[5, 2, 4, 8, 3, 6]
[1, 2, 3, 4, 5, 6, 7]
[5, 2, 4, 8, 3, 6, 8]
[1, 2, 3, 4, 5, 6, 7, 8]
[5, 2, 4, 8, 3, 6, 8, 3]
[1, 2, 3, 4, 5, 6, 7, 8, 9]
[5, 2, 4, 8, 3, 6, 8, 3, 2]
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
[5, 2, 4, 8, 3, 6, 8, 3, 2, 6]
8、3D graphs with Matplotlib
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
n_radii = 8
n_angles = 36
# Make radii and angles spaces (radius r=0 omitted to eliminate duplication).
radii = np.linspace(0.125, 1.0, n_radii)
angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
# Repeat all angles for each radius.
angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
# Convert polar (radii, angles) coords to cartesian (x, y) coords.
# (0, 0) is manually added at this stage, so there will be no duplicate
# points in the (x, y) plane.
x = np.append(0, (radii*np.cos(angles)).flatten())
y = np.append(0, (radii*np.sin(angles)).flatten())
# Compute z to make the pringle surface.
z = np.sin(-x*y)
fig = plt.figure()
ax = fig.gca(projection='3d')
ax.plot_trisurf(x, y, z, linewidth=0.2, antialiased=True)
plt.show()
<matplotlib.figure.Figure at 0x1ca32b7d9e8>
9、3D Scatter Plot with Matplotlib
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import style
fig = plt.figure(figsize = (10,6))
style.use('ggplot')
fig = plt.figure()
ax1 = fig.add_subplot(111, projection='3d')
x = [1,2,3,4,5,6,7,8,9,10]
y = [5,6,7,8,2,5,6,3,7,2]
z = [1,2,6,3,2,7,3,3,7,2]
x2 = [-1,-2,-3,-4,-5,-6,-7,-8,-9,-10]
y2 = [-5,-6,-7,-8,-2,-5,-6,-3,-7,-2]
z2 = [1,2,6,3,2,7,3,3,7,2]
ax1.scatter(x, y, z, c='g', marker='o')
ax1.scatter(x2, y2, z2, c ='r', marker='o')
ax1.set_xlabel('x axis')
ax1.set_ylabel('y axis')
ax1.set_zlabel('z axis')
plt.show()
<matplotlib.figure.Figure at 0x1ca30e80f60>
10、3D Bar Chart with Matplotlib
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import style
style.use('ggplot')
fig = plt.figure(figsize = (10,6))
fig = plt.figure()
ax1 = fig.add_subplot(111, projection='3d')
x3 = [1,2,3,4,5,6,7,8,9,10]
y3 = [5,6,7,8,2,5,6,3,7,2]
z3 = np.zeros(10)
dx = np.ones(10)
dy = np.ones(10)
dz = [1,2,3,4,5,6,7,8,9,10]
ax1.bar3d(x3, y3, z3, dx, dy, dz)
ax1.set_xlabel('x axis')
ax1.set_ylabel('y axis')
ax1.set_zlabel('z axis')
plt.show()
<matplotlib.figure.Figure at 0x1ca31048e48>
11、Conclusion with Matplotlib
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import style
#style.use('fivethirtyeight')
style.use('bmh')
fig = plt.figure()
ax1 = fig.add_subplot(111, projection='3d')
x, y, z = axes3d.get_test_data()
print(axes3d.__file__)
ax1.plot_wireframe(x,y,z, rstride = 5, cstride = 5)
ax1.set_xlabel('x axis')
ax1.set_ylabel('y axis')
ax1.set_zlabel('z axis')
plt.show()
fig.savefig("conclusion.png", dpi=300) #save graph
C:UsersxxzAnaconda3libsite-packagesmpl_toolkitsmplot3daxes3d.py
12、 Text Annotation
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure(figsize = (10,6))
ax = fig.add_subplot(111)
xx = np.arange(0,15,0.1)
ax.plot(xx, xx**2, xx, xx**3)
ax.text(13, 300, r"$y=x^2$", fontsize=20, color="blue");
ax.text(13, 3000, r"$y=x^3$", fontsize=20, color="green");
plt.show()
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