Matplotlib 基础应用

Matplotlib Learning --- Basics

 

 

Load Necessary Libraries¶

 

In [4]:

import matplotlib.pyplot as plt
import numpy as np 
import pandas as pd 

 

 

Basic Graph¶

 

In [84]:

x = [0,1,2,3,4]
y = [0,2,4,6,8]

# Resize your Graph
plt.figure(figsize=(6,4),dpi=100)

#plt.plot(x,y,label='y=2x',color='red',linewidth=2,marker='o',markersize=10,markeredgecolor='blue',linestyle='--')
#use shorthand notation:fmt ='[color][marker][line]'
plt.plot(x,y,'r*--',label='2x')

## Line 2

# Select the interval we want to plot points at 
x2 = np.arange(0,4.5,0.5)
# Plot part of the graph 
plt.plot(x2[:5],x2[:5]**2,'b.-',label='x^2')

# Plot the remaining part 
plt.plot(x2[4:],x2[4:]**2,'bv-')

# Add a title(specify fontparameters with fontdict)
plt.title('Our First Graph',fontdict={'fontsize':20})

# x & y labels 
plt.xlabel('X Axis',fontdict={'fontname':'Comic Sans MS'})
plt.ylabel('Y Axis')
plt.xticks([1,2,3,4])
plt.yticks([0,2,4,8,16])

# Save and show 
plt.legend()
plt.savefig('mygragh.png',dpi=100)
plt.show()

 

 

 

 

Bar chart¶

 

In [96]:

labels = ['A','B','C']
values = [1,4,2]

bars = plt.bar(labels,values)
patterns = ['/','o','*']
for bar in bars:
    bar.set_hatch(patterns.pop(0))
#bars[0].set_hatch('/')

plt.figure(figsize=(6,4))
plt.show()

 

 

 

<Figure size 432x288 with 0 Axes>