所有可用matplotlib后端的列表

2024-04-25 04:08:50 发布

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当前后端名称可通过

>>> import matplotlib.pyplot as plt
>>> plt.get_backend()
'GTKAgg'

有没有办法得到一个可以在特定机器上使用的所有后端的列表?


Tags: import名称机器backend列表getmatplotlibas
3条回答

下面是对之前发布的脚本的修改。它查找所有支持的后端,验证它们并测量它们的fps。在OSX上,当谈到tkAgg时,它会使python崩溃,因此使用它的风险由您自己承担;)

from __future__ import print_function, division, absolute_import
from pylab import *
import time

import matplotlib.backends
import matplotlib.pyplot as p
import os.path


def is_backend_module(fname):
    """Identifies if a filename is a matplotlib backend module"""
    return fname.startswith('backend_') and fname.endswith('.py')

def backend_fname_formatter(fname): 
    """Removes the extension of the given filename, then takes away the leading 'backend_'."""
    return os.path.splitext(fname)[0][8:]

# get the directory where the backends live
backends_dir = os.path.dirname(matplotlib.backends.__file__)

# filter all files in that directory to identify all files which provide a backend
backend_fnames = filter(is_backend_module, os.listdir(backends_dir))

backends = [backend_fname_formatter(fname) for fname in backend_fnames]

print("supported backends: \t" + str(backends))

# validate backends
backends_valid = []
for b in backends:
    try:
        p.switch_backend(b)
        backends_valid += [b]
    except:
        continue

print("valid backends: \t" + str(backends_valid))


# try backends performance
for b in backends_valid:

    ion()
    try:
        p.switch_backend(b)


        clf()
        tstart = time.time()               # for profiling
        x = arange(0,2*pi,0.01)            # x-array
        line, = plot(x,sin(x))
        for i in arange(1,200):
            line.set_ydata(sin(x+i/10.0))  # update the data
            draw()                         # redraw the canvas

        print(b + ' FPS: \t' , 200/(time.time()-tstart))
        ioff()

    except:
        print(b + " error :(")

您可以访问列表

matplotlib.rcsetup.interactive_bk
matplotlib.rcsetup.non_interactive_bk
matplotlib.rcsetup.all_backends

第三个是前两个的连接。如果我正确地阅读了源代码,那么这些列表是硬编码的,并且不会告诉您哪些后端实际上是可用的。还有

matplotlib.rcsetup.validate_backend(name)

但这也只是对照硬编码列表。

有Sven提到的硬编码列表,但是要查找Matplotlib可以使用的每个后端(基于当前设置后端的实现),可以检查Matplotlib/backends文件夹。

以下代码执行此操作:

import matplotlib.backends
import os.path

def is_backend_module(fname):
    """Identifies if a filename is a matplotlib backend module"""
    return fname.startswith('backend_') and fname.endswith('.py')

def backend_fname_formatter(fname): 
    """Removes the extension of the given filename, then takes away the leading 'backend_'."""
    return os.path.splitext(fname)[0][8:]

# get the directory where the backends live
backends_dir = os.path.dirname(matplotlib.backends.__file__)

# filter all files in that directory to identify all files which provide a backend
backend_fnames = filter(is_backend_module, os.listdir(backends_dir))

backends = [backend_fname_formatter(fname) for fname in backend_fnames]

print backends

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