1. matplotlib中的顏色映射(隨數值變換顏色深度)python
#簡單使用plt畫圖 from matplotlib import pyplot as plt input_num = list(range(0,50)) number = [x**2 for x in input_num] #scatter()畫點陣圖,其中edgecolors是點邊緣,cmap是圖形顏色, plt.scatter(input_num, number, s=40, edgecolors ='none', c=number, cmap=plt.cm.Blues) #plt.plot(input_num, number, linewidth = 3) plt.title("square_number",fontsize = 24 ) plt.xlabel("x_num", fontsize = 14) plt.ylabel("y_result", fontsize = 14) #刻度參數 plt.tick_params(axis='both', labelsize=14) #刻度範圍 plt.axis([0,50,0,2500]) plt.show() plt.savefig('square_pigture.png', bbox_inches = 'tight')
2.隨機遊走的算法算法
#encoding:utf-8 from random import choice class RandomWalk(): '''一個生成隨機漫步數據的類''' def __init__(self, num_points=5000): '''初始化隨機漫步的屬性''' self.num_points = num_points # 全部隨機漫步都始於(0, 0) self.y_values = [0] self.x_values = [0] def fill_walk(self): while self.num_points > len(self.x_values): x_direction = choice([-1, 1]) x_step = choice([0, 1, 2, 3, 4]) x = x_direction * x_step y_direction = choice([-1, 1]) y_step = choice([0, 1, 2, 3, 4]) y = y_direction * y_step if x_step == 0 and y_step == 0: continue next_x = self.x_values[-1] + x next_y = self.y_values[-1] + y self.y_values.append(next_y) self.x_values.append(next_x)
from matplotlib import pyplot as plt from random_walk import RandomWalk while True: rw = RandomWalk() rw.fill_walk() #設置圖像畫布大小 plt.figure(figsize=(10, 6)) #爲後面顏色映射從小到大準備列表 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) # plt.plot(rw.x_values, rw.y_values, linewidth=5) plt.scatter(0, 0, c='red', edgecolors='none', s=100) plt.scatter(rw.x_values[-1], rw.y_values[-1], c='red', edgecolors='none',s=50) plt.title("Ramdom_walk") #隱藏行與列標 plt.axes().get_xaxis().set_visible(False) plt.axes().get_yaxis().set_visible(False) plt.show() temp = raw_input("繼續請輸入True,不然False: ") print("\n") #plt.savefig("Random walk.png") if temp == "False": break