如何使用matplotlib绘制元组列表?

Sam*_*Sam 5 python tuples list matplotlib

我有一个元组是(元组的列表minTemp,averageTemp,maxTemp).我想在同一个matplotlib图上绘制元组中每个元素的折线图.

如何才能做到这一点?

Arp*_*ath 8

为了分别获得最小,平均和最高温度的数组,拉链功能很好,你可以在这里看到.

from pylab import plot, title, xlabel, ylabel, savefig, legend, array

values = [(3, 4, 5), (7, 8, 9), (2, 3, 4)]
days = array([24, 25, 26])

for temp in zip(*values):
    plot(days, array(temp))
title('Temperature at december')
xlabel('Days of december')
ylabel('Temperature')
legend(['min', 'avg', 'max'], loc='lower center')
savefig("temperature_at_christmas.pdf")
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您也可以从numpy和matplotlib模块导入这些函数,您可以更改布局(示例中的颜色),如下所示:

from matplotlib.pyplot import plot, title, xlabel, ylabel, savefig, legend
from numpy import array

values = [(3, 4, 5), (5, 8, 9), (2, 3, 5), (3, 5, 6)]
days = array([24, 25, 26, 27])

min_temp, avg_temp, max_temp = zip(*values)
temperature_with_colors_and_labels = (
    (min_temp, 'green', 'min'),
    (avg_temp, 'grey', 'avg'),
    (max_temp, 'orange', 'max'),
)

for temp, color, label in temperature_with_colors_and_labels:
    plot(days, array(temp), color=color, label=label)
title('Temperature at december (last decade)')
xlabel('Days of december')
ylabel('Temperature (Celsius)')
legend()
savefig("temperature_at_christmas.png")
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在此输入图像描述

您可以在matplotlib文档或函数的docstring中找到plot函数的关键字参数.