Python数据可视化入门

前言

python可视化的模块是mtaplotlib，我们要使用它来生成统计图。

示例

import matplotlib.pyplot as plt
import numpy as np

#获取的参数
plt.rcParams['font.sans-serif'] = ['KaiTi']
labels = ['xx项目V1.0', 'xx项目V2.0']
men_means = [47, 26]
women_means = [12, 2]
hui_gui = [4, 3]

x = np.arange(len(labels))  # 标签位置
width = 0.1  # 柱状图宽度

fig, ax = plt.subplots()
rects1 = ax.bar(x - width/2, men_means, width, label='BUG总数量')
rects2 = ax.bar(x + width/2, women_means, width, label='严重BUG数量')
rects3 = ax.bar((x + width/2) + width, hui_gui, width, label='回归次数')

# 添加一些说明
ax.set_ylabel('数量')
ax.set_title('项目质量对比')
ax.set_xticks(x)
ax.set_xticklabels(labels)
ax.legend()

def autolabel(rects):
    """在柱状图上打上数字进行显示."""
    for rect in rects:
        height = rect.get_height()
        ax.annotate('{}'.format(height),
                    xy=(rect.get_x() + rect.get_width() / 2, height),
                    xytext=(0, 3),  # 3 points vertical offset
                    textcoords="offset points",
                    ha='center', va='bottom')

autolabel(rects1)
autolabel(rects2)
autolabel(rects3)

fig.tight_layout()
plt.show()