Python学习pygal绘制线图代码分享

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我是靠谱客的博主老迟到口红，最近开发中收集的这篇文章主要介绍Python学习pygal绘制线图代码分享，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

pygal的安装大家可以参阅：pip和pygal的安装实例教程

线图：

import pygal

line_chart = pygal.Line()
line_chart.title = 'Browser usage evolution (in %)'
line_chart.x_labels = map(str, range(2002, 2013))
line_chart.add('Firefox', [None, None,  0, 16.6,  25,  31, 36.4, 45.5, 46.3, 42.8, 37.1])
line_chart.add('Chrome', [None, None, None, None, None, None,  0, 3.9, 10.8, 23.8, 35.3])
line_chart.add('IE',   [85.8, 84.6, 84.7, 74.5,  66, 58.6, 54.7, 44.8, 36.2, 26.6, 20.1])
line_chart.add('Others', [14.2, 15.4, 15.3, 8.9,  9, 10.4, 8.9, 5.8, 6.7, 6.8, 7.5])
line_chart.render_to_file('bar_chart.svg')

水平线图：

line_chart = pygal.HorizontalLine()
line_chart.title = 'Browser usage evolution (in %)'
line_chart.x_labels = map(str, range(2002, 2013))
line_chart.add('Firefox', [None, None,  0, 16.6,  25,  31, 36.4, 45.5, 46.3, 42.8, 37.1])
line_chart.add('Chrome', [None, None, None, None, None, None,  0, 3.9, 10.8, 23.8, 35.3])
line_chart.add('IE',   [85.8, 84.6, 84.7, 74.5,  66, 58.6, 54.7, 44.8, 36.2, 26.6, 20.1])
line_chart.add('Others', [14.2, 15.4, 15.3, 8.9,  9, 10.4, 8.9, 5.8, 6.7, 6.8, 7.5])
line_chart.range = [0, 100]
line_chart.render_to_file('bar_chart.svg')

叠加测线：

line_chart = pygal.StackedLine(fill=True)
line_chart.title = 'Browser usage evolution (in %)'
line_chart.x_labels = map(str, range(2002, 2013))
line_chart.add('Firefox', [None, None, 0, 16.6,  25,  31, 36.4, 45.5, 46.3, 42.8, 37.1])
line_chart.add('Chrome', [None, None, None, None, None, None,  0, 3.9, 10.8, 23.8, 35.3])
line_chart.add('IE',   [85.8, 84.6, 84.7, 74.5,  66, 58.6, 54.7, 44.8, 36.2, 26.6, 20.1])
line_chart.add('Others', [14.2, 15.4, 15.3, 8.9,  9, 10.4, 8.9, 5.8, 6.7, 6.8, 7.5])
line_chart.render_to_file('bar_chart.svg')

对于时间相关的图，只需格式化标签或使用xy图表的一个变体：

from datetime import datetime
date_chart = pygal.Line(x_label_rotation=20)
date_chart.x_labels = map(lambda d: d.strftime('%Y-%m-%d'), [
 datetime(2013, 1, 2),
 datetime(2013, 1, 12),
 datetime(2013, 2, 2),
 datetime(2013, 2, 22)])
date_chart.add("Visits", [300, 412, 823, 672])
date_chart.render_to_file('bar_chart.svg')