先看效果:
代码如下:
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
def draw_bar(same_score, diff_score):
plt.title("same/different pairs seq score histogram")
plt.hist(same_score, bins=10, facecolor="red", edgecolor="black", label='same', alpha=0.7)
plt.hist(diff_score, bins=10, facecolor="blue", edgecolor="black",label='different', alpha=0.7)
plt.xlabel("score")
plt.ylabel("number")
plt.legend()
plt.savefig("test.png")
plt.show()
if __name__ == "__main__":
# 自己乱造的数据
same_score = [0.81, 0.92, 0.88, 0.99, 0.77, 0.90, 0.999, 0.76]
diff_score = [0.22, 0.44, 0.68, 0.66, 0.76, 0.88, 0.66, 0.65, 0.77]
draw_bar(same_score, diff_score)
此代码可以统计数据的分布。