终端中的Python ASCII图 [英] Python ASCII plots in terminal
问题描述
使用Octave,我可以在终端上绘制数组,例如,绘制具有函数x^2
的值的数组将在我的终端上显示以下输出:
With Octave I am able to plot arrays to the terminal, for example, plotting an array with values for the function x^2
gives this output in my terminal:
10000 ++---------+-----------+----------+-----------+---------++
++ + + + + ++
|+ : : : : +|
|++ : : : : ++|
| + : : : : + |
| ++ : : : : ++ |
8000 ++.+..................................................+.++
| ++ : : : : ++ |
| ++ : : : : ++ |
| + : : : : + |
| ++ : : : : ++ |
| + : : : : + |
6000 ++....++..........................................++....++
| ++ : : : : ++ |
| + : : : : + |
| ++ : : : : ++ |
| ++: : : :++ |
4000 ++........++..................................++........++
| + : : + |
| ++ : : ++ |
| :++ : : ++: |
| : ++ : : ++ : |
| : ++ : : ++ : |
2000 ++.............++........................++.............++
| : ++ : : ++ : |
| : +++ : : +++ : |
| : ++ : : ++ : |
| : +++: :+++ : |
+ + ++++ ++++ + +
0 ++---------+-----------+----------+-----------+---------++
0 20000 40000 60000 80000 100000
是否有某种方法可以在Python中执行类似的操作,特别是使用matplotlib? bashplotlib似乎提供了其中一些功能,但与Octave的产品相比似乎是非常基础的.
Is there some way I can do something similar in Python, specifically with matplotlib? bashplotlib seems to offer some of this functionality but appears to be quite basic compared to Octave's offering.
推荐答案
很少有答案表明gnuplot
是个不错的选择.
As few answers already suggested the gnuplot
is a great choice.
但是,不需要调用gnuplot子进程,使用python gnuplotlib
库可能会容易得多.
However, there is no need to call a gnuplot subprocess, it might be much easier to use a python gnuplotlib
library.
示例(来自: https://github.com/dkogan/gnuplotlib ):
>>> import numpy as np
>>> import gnuplotlib as gp
>>> x = np.linspace(-5,5,100)
>>> gp.plot( x, np.sin(x) )
[ graphical plot pops up showing a simple sinusoid ]
>>> gp.plot( (x, np.sin(x), {'with': 'boxes'}),
... (x, np.cos(x), {'legend': 'cosine'}),
... _with = 'lines',
... terminal = 'dumb 80,40',
... unset = 'grid')
[ ascii plot printed on STDOUT]
1 +-+---------+----------+-----------+-----------+----------+---------+-+
+ +|||+ + + +++++ +++|||+ + +
| |||||+ + + +|||||| cosine +-----+ |
0.8 +-+ |||||| + + ++||||||+ +-+
| ||||||+ + ++||||||||+ |
| ||||||| + ++||||||||| |
| |||||||+ + ||||||||||| |
0.6 +-+ |||||||| + +||||||||||+ +-+
| ||||||||+ | ++||||||||||| |
| ||||||||| + ||||||||||||| |
0.4 +-+ ||||||||| | ++||||||||||||+ +-+
| ||||||||| + +|||||||||||||| |
| |||||||||+ + ||||||||||||||| |
| ||||||||||+ | ++||||||||||||||+ + |
0.2 +-+ ||||||||||| + ||||||||||||||||| + +-+
| ||||||||||| | +||||||||||||||||+ | |
| ||||||||||| + |||||||||||||||||| + |
0 +-+ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +-+
| + ||||||||||||||||||+ | ++|||||||||| |
| | +||||||||||||||||| + ||||||||||| |
| + ++|||||||||||||||| | +|||||||||| |
-0.2 +-+ + ||||||||||||||||| + ||||||||||| +-+
| | ++||||||||||||||+ | ++||||||||| |
| + ||||||||||||||| + ++|||||||| |
| | +|||||||||||||| + ||||||||| |
-0.4 +-+ + ++||||||||||||+ | +|||||||| +-+
| + ||||||||||||| + ||||||||| |
| | +|||||||||||+ + ++||||||| |
-0.6 +-+ + ++|||||||||| | +||||||| +-+
| + ||||||||||| + ++|||||| |
| + +|||||||||+ + ||||||| |
| + ++|||||||| + +++||||| |
-0.8 +-+ + + ++||||||+ + + +||||| +-+
| + + +|||||| + + ++|||| |
+ + + ++ ++|||++ + + ++ + + ++||| +
-1 +-+---------+----------+-----------+-----------+----------+---------+-+
-6 -4 -2 0 2 4 6
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