Data Visualization refers to explore through visual representation of data, it is closely related to data mining.
python has a range of visualization and analysis tools, is one of the most popular tools matplotlib, it is drawing a math library.
Plotting random walk FIG.
Acquiring random library using a random number, plotted with matplotlib
1. Create a class, for each point x to generate a random walk through the two reservoirs, y coordinates
code show as below:
from Random Import Choice class RandomWalk (): DEF the __init__ (Self, NumPoints = 5000 ): self.numpoints = NumPoints # predetermined number of walk, the default value 5000 self.x_values = [0] # X-axis self.y_values = [0] # Y-axis DEF get_step (Self): direction = choice ([. 1, -1]) # randomly selected direction Distance = choice ([0,1,2,3,4]) # Walking length STEP direction * = Distance return STEP DEF fill_walk (Self): # Generates two lists of length numpoint the while len (self.x_values) < self.numpoints: x_step = self.get_step () y_step = self.get_step () IF x_step == 0 and y_step == 0: # prevent situ Fixed Continue x_next = self.x_values [-1] + x_step # point displacement x axis y_next self.y_values = [-1] + y_step # displacement in the y-axis self.x_values.append (x_next) # the x-axis value of a point self.y_values.append (y_next) # Y-axis value of a point
Plotting the following function
Import matplotlib.pyplot AS PLT from RandomWalk Import RandomWalk the while True: RW = RandomWalk (10000) # Set times to walk 10000 rw.fill_walk () # generates two stored x, y-axis values list plt.figure (figsize = ( 15,8)) # set window size plt.scatter (rw.x_values, rw.y_values, rw.y_values = C, S =. 1) # plotted scattergram # plt.plot (rw.x_values, rw.y_values, as linewidth = 3) # line graph plt.show () In Flag = INPUT ( " whether to continue drawing (Y / n-): " ) iF In Flag == ' n- ' : break
operation result
