1,simple line chart
import matplotlib.pyplot as plt
inputvalues=[1,2,3,4,5]
squares=[1,4,9,16,25]
#correct the value
plt.plot(inputvalues,squares,linewidth = 5)
#plt.plot(squares,linewidth = 5) default value from 0
plt.title("Square Number",fontsize = 24)
plt.xlabel("Value",fontsize = 14)
plt.ylabel("Square",fontsize = 14)
plt.tick_params(axis="both",labelsize=14)
plt.show()
2,scatter diagram
import matplotlib.pyplot as plt
#A point
#plt.scatter(2,4,s=20)
#a serise of points
#~ x_values = [1,2,3,4,5]
#~ y_values = [1,4,9,16,25]
#automatic computing data
x_values=list(range(1,1001))
y_values=[x**2 for x in x_values]
#edgecolor default is black
#defalut point color is blue
#c=(0,0,1)
#colormap
plt.scatter(x_values,y_values,c=y_values,edgecolor='none',cmap=plt.cm.Blues)
#plt.scatter(x_values,y_values,c='red',edgecolor = 'none',s=40)
#set axis range
plt.axis([0,1000,0,1100000])
plt.title("Square Number",fontsize = 24)
plt.xlabel("Value",fontsize = 14)
plt.ylabel("Square",fontsize = 14)
plt.tick_params(axis="both",which="major",labelsize=14)
plt.show()
#save as file
#plt.savefig('squares_plot.png',bbox_inches='tight')
3,RandomWalk()
#random_walk.py
from random import choice
class RandomWalk():
def __init__(self,num_points=5000):
self.num_points = num_points
self.x_values=[0]
self.y_values = [0]
def fill_walk(self):
while len(self.x_values) < self.num_points:
x_direction = choice([1,-1])
x_distance = choice([0,1,2,3,4])
x_step = x_direction*x_distance
y_direction = choice([1,-1])
y_distance = choice([0,1,2,3,4])
y_step = y_direction*y_distance
if x_step == 0 and y_step == 0:
continue
next_x = self.x_values[-1] + x_step
next_y = self.y_values[-1] + y_step
self.x_values.append(next_x)
self.y_values.append(next_y)
import matplotlib.pyplot as plt
from random_walk import RandomWalk
#stimulated repeatedly
while True:
rw=RandomWalk(10000)
rw.fill_walk()
#set the window size
plt.figure(dpi=128,figsize=(10,6))
#color the points
point_numbers = list(range(rw.num_points))
plt.scatter(rw.x_values,rw.y_values,c=point_numbers,cmap=plt.cm.Blues,edgecolor='none',s=15)
#highlight the startpoint and the endpoint
plt.scatter(0,0,c='green',edgecolor='none',s=100)
plt.scatter(rw.x_values[-1],rw.y_values[-1],c='red',edgecolor='none',s=100)
#hide the axis
plt.axes().get_xaxis().set_visible(False)
plt.axes().get_yaxis().set_visible(False)
plt.show()
keep_running = input("Make anthor walk?(y/n):")
if(keep_running == 'n'):
break
#onece
#~ rw = RandomWalk()
#~ rw.fill_walk()
#~ plt.scatter(rw.x_values,rw.y_values,s=15)
plt.show()