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https://github.com/littlefs-project/littlefs.git
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Added plotmpl.py for creating svg/png plots with matplotlib
Note that plotmpl.py tries to share many arguments with plot.py, allowing plot.py to act as a sort of draft mode for previewing plots before creating an svg.
This commit is contained in:
Christopher Haster
860
scripts/plotmpl.py
Executable file
860
scripts/plotmpl.py
Executable file
@@ -0,0 +1,860 @@
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#!/usr/bin/env python3
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#
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# Plot CSV files with matplotlib.
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#
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# Example:
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# ./scripts/plotmpl.py bench.csv -xSIZE -ybench_read -obench.svg
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#
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# Copyright (c) 2022, The littlefs authors.
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# SPDX-License-Identifier: BSD-3-Clause
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#
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import codecs
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import collections as co
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import csv
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import io
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import itertools as it
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import math as m
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import numpy as np
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import os
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import shutil
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import time
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import matplotlib as mpl
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import matplotlib.pyplot as plt
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# some nicer colors borrowed from Seaborn
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# note these include a non-opaque alpha
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COLORS = [
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'#4c72b0bf', # blue
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'#dd8452bf', # orange
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'#55a868bf', # green
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'#c44e52bf', # red
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'#8172b3bf', # purple
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'#937860bf', # brown
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'#da8bc3bf', # pink
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'#8c8c8cbf', # gray
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'#ccb974bf', # yellow
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'#64b5cdbf', # cyan
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]
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COLORS_DARK = [
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'#a1c9f4bf', # blue
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'#ffb482bf', # orange
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'#8de5a1bf', # green
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'#ff9f9bbf', # red
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'#d0bbffbf', # purple
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'#debb9bbf', # brown
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'#fab0e4bf', # pink
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'#cfcfcfbf', # gray
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'#fffea3bf', # yellow
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'#b9f2f0bf', # cyan
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]
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ALPHAS = [0.75]
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FORMATS = ['-']
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FORMATS_POINTS = ['.']
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FORMATS_POINTS_AND_LINES = ['.-']
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WIDTH = 735
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HEIGHT = 350
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FONT_SIZE = 11
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SI_PREFIXES = {
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18: 'E',
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15: 'P',
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12: 'T',
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9: 'G',
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6: 'M',
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3: 'K',
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0: '',
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-3: 'm',
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-6: 'u',
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-9: 'n',
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-12: 'p',
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-15: 'f',
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-18: 'a',
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}
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SI2_PREFIXES = {
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60: 'Ei',
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50: 'Pi',
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40: 'Ti',
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30: 'Gi',
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20: 'Mi',
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10: 'Ki',
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0: '',
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-10: 'mi',
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-20: 'ui',
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-30: 'ni',
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-40: 'pi',
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-50: 'fi',
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-60: 'ai',
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}
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# formatter for matplotlib
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def si(x):
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if x == 0:
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return '0'
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# figure out prefix and scale
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p = 3*int(m.log(abs(x), 10**3))
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p = min(18, max(-18, p))
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# format with 3 digits of precision
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s = '%.3f' % (abs(x) / (10.0**p))
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s = s[:3+1]
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# truncate but only digits that follow the dot
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if '.' in s:
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s = s.rstrip('0')
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s = s.rstrip('.')
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return '%s%s%s' % ('-' if x < 0 else '', s, SI_PREFIXES[p])
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# formatter for matplotlib
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def si2(x):
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if x == 0:
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return '0'
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# figure out prefix and scale
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p = 10*int(m.log(abs(x), 2**10))
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p = min(30, max(-30, p))
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# format with 3 digits of precision
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s = '%.3f' % (abs(x) / (2.0**p))
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s = s[:3+1]
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# truncate but only digits that follow the dot
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if '.' in s:
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s = s.rstrip('0')
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s = s.rstrip('.')
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return '%s%s%s' % ('-' if x < 0 else '', s, SI2_PREFIXES[p])
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# we want to use MaxNLocator, but since MaxNLocator forces multiples of 10
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# to be an option, we can't really...
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class AutoMultipleLocator(mpl.ticker.MultipleLocator):
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def __init__(self, base, nbins=None):
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# note base needs to be floats to avoid integer pow issues
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self.base = float(base)
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self.nbins = nbins
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super().__init__(self.base)
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def __call__(self):
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# find best tick count, conveniently matplotlib has a function for this
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vmin, vmax = self.axis.get_view_interval()
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vmin, vmax = mpl.transforms.nonsingular(vmin, vmax, 1e-12, 1e-13)
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if self.nbins is not None:
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nbins = self.nbins
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else:
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nbins = np.clip(self.axis.get_tick_space(), 1, 9)
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# find the best power, use this as our locator's actual base
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scale = self.base ** (m.ceil(m.log((vmax-vmin) / (nbins+1), self.base)))
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self.set_params(scale)
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return super().__call__()
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def openio(path, mode='r', buffering=-1):
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# allow '-' for stdin/stdout
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if path == '-':
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if mode == 'r':
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return os.fdopen(os.dup(sys.stdin.fileno()), mode, buffering)
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else:
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return os.fdopen(os.dup(sys.stdout.fileno()), mode, buffering)
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else:
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return open(path, mode, buffering)
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# parse different data representations
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def dat(x):
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# allow the first part of an a/b fraction
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if '/' in x:
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x, _ = x.split('/', 1)
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# first try as int
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try:
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return int(x, 0)
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except ValueError:
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pass
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# then try as float
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try:
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return float(x)
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# just don't allow infinity or nan
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if m.isinf(x) or m.isnan(x):
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raise ValueError("invalid dat %r" % x)
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except ValueError:
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pass
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# else give up
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raise ValueError("invalid dat %r" % x)
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def collect(csv_paths, renames=[]):
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# collect results from CSV files
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results = []
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for path in csv_paths:
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try:
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with openio(path) as f:
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reader = csv.DictReader(f, restval='')
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for r in reader:
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results.append(r)
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except FileNotFoundError:
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pass
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if renames:
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for r in results:
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# make a copy so renames can overlap
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r_ = {}
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for new_k, old_k in renames:
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if old_k in r:
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r_[new_k] = r[old_k]
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r.update(r_)
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return results
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def dataset(results, x=None, y=None, define=[]):
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# organize by 'by', x, and y
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dataset = {}
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i = 0
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for r in results:
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# filter results by matching defines
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if not all(k in r and r[k] in vs for k, vs in define):
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continue
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# find xs
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if x is not None:
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if x not in r:
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continue
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try:
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x_ = dat(r[x])
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except ValueError:
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continue
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else:
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x_ = i
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i += 1
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# find ys
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if y is not None:
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if y not in r:
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y_ = None
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else:
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try:
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y_ = dat(r[y])
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except ValueError:
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y_ = None
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else:
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y_ = None
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if y_ is not None:
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dataset[x_] = y_ + dataset.get(x_, 0)
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else:
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dataset[x_] = y_ or dataset.get(x_, None)
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return dataset
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def datasets(results, by=None, x=None, y=None, define=[]):
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# filter results by matching defines
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results_ = []
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for r in results:
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if all(k in r and r[k] in vs for k, vs in define):
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results_.append(r)
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results = results_
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# if y not specified, try to guess from data
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if y is None:
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y = co.OrderedDict()
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for r in results:
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for k, v in r.items():
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if (by is None or k not in by) and v.strip():
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try:
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dat(v)
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y[k] = True
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except ValueError:
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y[k] = False
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y = list(k for k,v in y.items() if v)
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if by is not None:
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# find all 'by' values
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ks = set()
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for r in results:
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ks.add(tuple(r.get(k, '') for k in by))
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ks = sorted(ks)
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# collect all datasets
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datasets = co.OrderedDict()
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for ks_ in (ks if by is not None else [()]):
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for x_ in (x if x is not None else [None]):
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for y_ in y:
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# hide x/y if there is only one field
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k_x = x_ if len(x or []) > 1 else ''
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k_y = y_ if len(y or []) > 1 or (not ks_ and not k_x) else ''
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datasets[ks_ + (k_x, k_y)] = dataset(
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results,
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x_,
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y_,
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[(by_, k_) for by_, k_ in zip(by, ks_)]
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if by is not None else [])
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return datasets
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def main(csv_paths, output, *,
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svg=False,
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png=False,
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quiet=False,
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by=None,
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x=None,
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y=None,
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define=[],
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points=False,
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points_and_lines=False,
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colors=None,
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formats=None,
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width=WIDTH,
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height=HEIGHT,
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xlim=(None,None),
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ylim=(None,None),
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xlog=False,
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ylog=False,
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x2=False,
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y2=False,
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xticks=None,
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yticks=None,
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xunits=None,
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yunits=None,
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xlabel=None,
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ylabel=None,
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xticklabels=None,
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yticklabels=None,
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title=None,
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legend=None,
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dark=False,
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ggplot=False,
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xkcd=False,
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font=None,
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font_size=FONT_SIZE,
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background=None):
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# guess the output format
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if not png and not svg:
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if output.endswith('.png'):
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png = True
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else:
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svg = True
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# allow shortened ranges
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if len(xlim) == 1:
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xlim = (0, xlim[0])
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if len(ylim) == 1:
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ylim = (0, ylim[0])
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# separate out renames
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renames = list(it.chain.from_iterable(
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((k, v) for v in vs)
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for k, vs in it.chain(by or [], x or [], y or [])))
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if by is not None:
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by = [k for k, _ in by]
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if x is not None:
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x = [k for k, _ in x]
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if y is not None:
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y = [k for k, _ in y]
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# what colors/alphas/formats to use?
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if colors is not None:
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colors_ = colors
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elif dark:
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colors_ = COLORS_DARK
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else:
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colors_ = COLORS
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if formats is not None:
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formats_ = formats
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elif points_and_lines:
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formats_ = FORMATS_POINTS_AND_LINES
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elif points:
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formats_ = FORMATS_POINTS
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else:
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formats_ = FORMATS
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if background is not None:
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background_ = background
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elif dark:
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background_ = mpl.style.library['dark_background']['figure.facecolor']
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else:
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background_ = plt.rcParams['figure.facecolor']
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# allow escape codes in labels/titles
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if title is not None:
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title = codecs.escape_decode(title.encode('utf8'))[0].decode('utf8')
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if xlabel is not None:
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xlabel = codecs.escape_decode(xlabel.encode('utf8'))[0].decode('utf8')
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if ylabel is not None:
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ylabel = codecs.escape_decode(ylabel.encode('utf8'))[0].decode('utf8')
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# first collect results from CSV files
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results = collect(csv_paths, renames)
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# then extract the requested datasets
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datasets_ = datasets(results, by, x, y, define)
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# configure some matplotlib settings
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if xkcd:
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plt.xkcd()
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# turn off the white outline, this breaks some things
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plt.rc('path', effects=[])
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if ggplot:
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plt.style.use('ggplot')
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plt.rc('patch', linewidth=0)
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plt.rc('axes', edgecolor=background_)
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plt.rc('grid', color=background_)
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# fix the the gridlines when ggplot+xkcd
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if xkcd:
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plt.rc('grid', linewidth=1)
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plt.rc('axes.spines', bottom=False, left=False)
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if dark:
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plt.style.use('dark_background')
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plt.rc('savefig', facecolor='auto')
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# fix ggplot when dark
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if ggplot:
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plt.rc('axes',
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facecolor='#333333',
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edgecolor=background_,
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labelcolor='#aaaaaa')
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plt.rc('xtick', color='#aaaaaa')
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plt.rc('ytick', color='#aaaaaa')
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plt.rc('grid', color=background_)
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if font is not None:
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plt.rc('font', family=font)
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plt.rc('font', size=font_size)
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plt.rc('figure', titlesize='medium')
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plt.rc('axes', titlesize='medium', labelsize='small')
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plt.rc('xtick', labelsize='small')
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plt.rc('ytick', labelsize='small')
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plt.rc('legend',
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fontsize='small',
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fancybox=False,
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framealpha=None,
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borderaxespad=0)
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plt.rc('axes.spines', top=False, right=False)
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plt.rc('figure', facecolor=background_, edgecolor=background_)
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if not ggplot:
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plt.rc('axes', facecolor='#00000000')
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# create a matplotlib plot
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fig = plt.figure(figsize=(
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width/plt.rcParams['figure.dpi'],
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height/plt.rcParams['figure.dpi']),
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# note we need a linewidth to keep xkcd mode happy
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linewidth=8)
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ax = fig.subplots()
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for i, (name, dataset) in enumerate(datasets_.items()):
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dats = sorted((x,y) for x,y in dataset.items())
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ax.plot([x for x,_ in dats], [y for _,y in dats],
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formats_[i % len(formats_)],
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color=colors_[i % len(colors_)],
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label=','.join(k for k in name if k))
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# axes scaling
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if xlog:
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ax.set_xscale('symlog')
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ax.xaxis.set_minor_locator(mpl.ticker.NullLocator())
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if ylog:
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ax.set_yscale('symlog')
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ax.yaxis.set_minor_locator(mpl.ticker.NullLocator())
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# axes limits
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ax.set_xlim(
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xlim[0] if xlim[0] is not None
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else min(it.chain([0], (k
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for r in datasets_.values()
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for k, v in r.items()
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if v is not None))),
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xlim[1] if xlim[1] is not None
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else max(it.chain([0], (k
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for r in datasets_.values()
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for k, v in r.items()
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if v is not None))))
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ax.set_ylim(
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ylim[0] if ylim[0] is not None
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else min(it.chain([0], (v
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for r in datasets_.values()
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for _, v in r.items()
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if v is not None))),
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ylim[1] if ylim[1] is not None
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else max(it.chain([0], (v
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for r in datasets_.values()
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for _, v in r.items()
|
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if v is not None))))
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# axes ticks
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if x2:
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ax.xaxis.set_major_formatter(lambda x, pos:
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si2(x)+(xunits if xunits else ''))
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if xticklabels is not None:
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ax.xaxis.set_ticklabels(xticklabels)
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if xticks is None:
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ax.xaxis.set_major_locator(AutoMultipleLocator(2))
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elif isinstance(xticks, list):
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ax.xaxis.set_major_locator(mpl.ticker.FixedLocator(xticks))
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elif xticks != 0:
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||||
ax.xaxis.set_major_locator(AutoMultipleLocator(2, xticks-1))
|
||||
else:
|
||||
ax.xaxis.set_major_locator(mpl.ticker.NullLocator())
|
||||
else:
|
||||
ax.xaxis.set_major_formatter(lambda x, pos:
|
||||
si(x)+(xunits if xunits else ''))
|
||||
if xticklabels is not None:
|
||||
ax.xaxis.set_ticklabels(xticklabels)
|
||||
if xticks is None:
|
||||
ax.xaxis.set_major_locator(mpl.ticker.AutoLocator())
|
||||
elif isinstance(xticks, list):
|
||||
ax.xaxis.set_major_locator(mpl.ticker.FixedLocator(xticks))
|
||||
elif xticks != 0:
|
||||
ax.xaxis.set_major_locator(mpl.ticker.MaxNLocator(xticks-1))
|
||||
else:
|
||||
ax.xaxis.set_major_locator(mpl.ticker.NullLocator())
|
||||
if y2:
|
||||
ax.yaxis.set_major_formatter(lambda x, pos:
|
||||
si2(x)+(yunits if yunits else ''))
|
||||
if yticklabels is not None:
|
||||
ax.yaxis.set_ticklabels(yticklabels)
|
||||
if yticks is None:
|
||||
ax.yaxis.set_major_locator(AutoMultipleLocator(2))
|
||||
elif isinstance(yticks, list):
|
||||
ax.yaxis.set_major_locator(mpl.ticker.FixedLocator(yticks))
|
||||
elif yticks != 0:
|
||||
ax.yaxis.set_major_locator(AutoMultipleLocator(2, yticks-1))
|
||||
else:
|
||||
ax.yaxis.set_major_locator(mpl.ticker.NullLocator())
|
||||
else:
|
||||
ax.yaxis.set_major_formatter(lambda x, pos:
|
||||
si(x)+(yunits if yunits else ''))
|
||||
if yticklabels is not None:
|
||||
ax.yaxis.set_ticklabels(yticklabels)
|
||||
if yticks is None:
|
||||
ax.yaxis.set_major_locator(mpl.ticker.AutoLocator())
|
||||
elif isinstance(yticks, list):
|
||||
ax.yaxis.set_major_locator(mpl.ticker.FixedLocator(yticks))
|
||||
elif yticks != 0:
|
||||
ax.yaxis.set_major_locator(mpl.ticker.MaxNLocator(yticks-1))
|
||||
else:
|
||||
ax.yaxis.set_major_locator(mpl.ticker.NullLocator())
|
||||
# axes labels
|
||||
if xlabel is not None:
|
||||
ax.set_xlabel(xlabel)
|
||||
if ylabel is not None:
|
||||
ax.set_ylabel(ylabel)
|
||||
if ggplot:
|
||||
ax.grid(sketch_params=None)
|
||||
|
||||
if title is not None:
|
||||
ax.set_title(title)
|
||||
|
||||
# pre-render so we can derive some bboxes
|
||||
fig.tight_layout()
|
||||
# it's not clear how you're actually supposed to get the renderer if
|
||||
# get_renderer isn't supported
|
||||
try:
|
||||
renderer = fig.canvas.get_renderer()
|
||||
except AttributeError:
|
||||
renderer = fig._cachedRenderer
|
||||
|
||||
# add a legend? this actually ends up being _really_ complicated
|
||||
if legend == 'right':
|
||||
l_pad = fig.transFigure.inverted().transform((
|
||||
mpl.font_manager.FontProperties('small')
|
||||
.get_size_in_points()/2,
|
||||
0))[0]
|
||||
|
||||
legend_ = ax.legend(
|
||||
bbox_to_anchor=(1+l_pad, 1),
|
||||
loc='upper left',
|
||||
fancybox=False,
|
||||
borderaxespad=0)
|
||||
if ggplot:
|
||||
legend_.get_frame().set_linewidth(0)
|
||||
fig.tight_layout()
|
||||
|
||||
elif legend == 'left':
|
||||
l_pad = fig.transFigure.inverted().transform((
|
||||
mpl.font_manager.FontProperties('small')
|
||||
.get_size_in_points()/2,
|
||||
0))[0]
|
||||
|
||||
# place legend somewhere to get its bbox
|
||||
legend_ = ax.legend(
|
||||
bbox_to_anchor=(0, 1),
|
||||
loc='upper right',
|
||||
fancybox=False,
|
||||
borderaxespad=0)
|
||||
|
||||
# first make space for legend without the legend in the figure
|
||||
l_bbox = (legend_.get_tightbbox(renderer)
|
||||
.transformed(fig.transFigure.inverted()))
|
||||
legend_.remove()
|
||||
fig.tight_layout(rect=(0, 0, 1-l_bbox.width-l_pad, 1))
|
||||
|
||||
# place legend after tight_layout computation
|
||||
bbox = (ax.get_tightbbox(renderer)
|
||||
.transformed(ax.transAxes.inverted()))
|
||||
legend_ = ax.legend(
|
||||
bbox_to_anchor=(bbox.x0-l_pad, 1),
|
||||
loc='upper right',
|
||||
fancybox=False,
|
||||
borderaxespad=0)
|
||||
if ggplot:
|
||||
legend_.get_frame().set_linewidth(0)
|
||||
|
||||
elif legend == 'above':
|
||||
l_pad = fig.transFigure.inverted().transform((
|
||||
0,
|
||||
mpl.font_manager.FontProperties('small')
|
||||
.get_size_in_points()/2))[1]
|
||||
|
||||
# try different column counts until we fit in the axes
|
||||
for ncol in reversed(range(1, len(datasets_)+1)):
|
||||
legend_ = ax.legend(
|
||||
bbox_to_anchor=(0.5, 1+l_pad),
|
||||
loc='lower center',
|
||||
ncol=ncol,
|
||||
fancybox=False,
|
||||
borderaxespad=0)
|
||||
if ggplot:
|
||||
legend_.get_frame().set_linewidth(0)
|
||||
|
||||
l_bbox = (legend_.get_tightbbox(renderer)
|
||||
.transformed(ax.transAxes.inverted()))
|
||||
if l_bbox.x0 >= 0:
|
||||
break
|
||||
|
||||
# fix the title
|
||||
if title is not None:
|
||||
t_bbox = (ax.title.get_tightbbox(renderer)
|
||||
.transformed(ax.transAxes.inverted()))
|
||||
ax.set_title(None)
|
||||
fig.tight_layout(rect=(0, 0, 1, 1-t_bbox.height))
|
||||
|
||||
l_bbox = (legend_.get_tightbbox(renderer)
|
||||
.transformed(ax.transAxes.inverted()))
|
||||
ax.set_title(title, y=1+l_bbox.height+l_pad)
|
||||
|
||||
elif legend == 'below':
|
||||
l_pad = fig.transFigure.inverted().transform((
|
||||
0,
|
||||
mpl.font_manager.FontProperties('small')
|
||||
.get_size_in_points()/2))[1]
|
||||
|
||||
# try different column counts until we fit in the axes
|
||||
for ncol in reversed(range(1, len(datasets_)+1)):
|
||||
legend_ = ax.legend(
|
||||
bbox_to_anchor=(0.5, 0),
|
||||
loc='upper center',
|
||||
ncol=ncol,
|
||||
fancybox=False,
|
||||
borderaxespad=0)
|
||||
|
||||
l_bbox = (legend_.get_tightbbox(renderer)
|
||||
.transformed(ax.transAxes.inverted()))
|
||||
if l_bbox.x0 >= 0:
|
||||
break
|
||||
|
||||
# first make space for legend without the legend in the figure
|
||||
l_bbox = (legend_.get_tightbbox(renderer)
|
||||
.transformed(fig.transFigure.inverted()))
|
||||
legend_.remove()
|
||||
fig.tight_layout(rect=(0, 0, 1, 1-l_bbox.height-l_pad))
|
||||
|
||||
bbox = (ax.get_tightbbox(renderer)
|
||||
.transformed(ax.transAxes.inverted()))
|
||||
legend_ = ax.legend(
|
||||
bbox_to_anchor=(0.5, bbox.y0-l_pad),
|
||||
loc='upper center',
|
||||
ncol=ncol,
|
||||
fancybox=False,
|
||||
borderaxespad=0)
|
||||
if ggplot:
|
||||
legend_.get_frame().set_linewidth(0)
|
||||
|
||||
# compute another tight_layout for good measure, because this _does_
|
||||
# fix some things... I don't really know why though
|
||||
fig.tight_layout()
|
||||
|
||||
plt.savefig(output, format='png' if png else 'svg', bbox_inches='tight')
|
||||
|
||||
# some stats
|
||||
if not quiet:
|
||||
print('updated %s, %s datasets, %s points' % (
|
||||
output,
|
||||
len(datasets_),
|
||||
sum(len(dataset) for dataset in datasets_.values())))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import sys
|
||||
import argparse
|
||||
parser = argparse.ArgumentParser(
|
||||
description="Plot CSV files with matplotlib.",
|
||||
allow_abbrev=False)
|
||||
parser.add_argument(
|
||||
'csv_paths',
|
||||
nargs='*',
|
||||
help="Input *.csv files.")
|
||||
parser.add_argument(
|
||||
'-o', '--output',
|
||||
required=True,
|
||||
help="Output *.svg/*.png file.")
|
||||
parser.add_argument(
|
||||
'--svg',
|
||||
action='store_true',
|
||||
help="Output an svg file. By default this is infered.")
|
||||
parser.add_argument(
|
||||
'--png',
|
||||
action='store_true',
|
||||
help="Output a png file. By default this is infered.")
|
||||
parser.add_argument(
|
||||
'-q', '--quiet',
|
||||
action='store_true',
|
||||
help="Don't print info.")
|
||||
parser.add_argument(
|
||||
'-b', '--by',
|
||||
action='append',
|
||||
type=lambda x: (
|
||||
lambda k,v=None: (k, v.split(',') if v is not None else ())
|
||||
)(*x.split('=', 1)),
|
||||
help="Group by this field. Can rename fields with new_name=old_name.")
|
||||
parser.add_argument(
|
||||
'-x',
|
||||
action='append',
|
||||
type=lambda x: (
|
||||
lambda k,v=None: (k, v.split(',') if v is not None else ())
|
||||
)(*x.split('=', 1)),
|
||||
help="Field to use for the x-axis. Can rename fields with "
|
||||
"new_name=old_name.")
|
||||
parser.add_argument(
|
||||
'-y',
|
||||
action='append',
|
||||
type=lambda x: (
|
||||
lambda k,v=None: (k, v.split(',') if v is not None else ())
|
||||
)(*x.split('=', 1)),
|
||||
help="Field to use for the y-axis. Can rename fields with "
|
||||
"new_name=old_name.")
|
||||
parser.add_argument(
|
||||
'-D', '--define',
|
||||
type=lambda x: (lambda k,v: (k, set(v.split(','))))(*x.split('=', 1)),
|
||||
action='append',
|
||||
help="Only include results where this field is this value. May include "
|
||||
"comma-separated options.")
|
||||
parser.add_argument(
|
||||
'-.', '--points',
|
||||
action='store_true',
|
||||
help="Only draw data points.")
|
||||
parser.add_argument(
|
||||
'-!', '--points-and-lines',
|
||||
action='store_true',
|
||||
help="Draw data points and lines.")
|
||||
parser.add_argument(
|
||||
'--colors',
|
||||
type=lambda x: [x.strip() for x in x.split(',')],
|
||||
help="Comma-separated hex colors to use.")
|
||||
parser.add_argument(
|
||||
'--formats',
|
||||
type=lambda x: [x.strip().replace('0',',') for x in x.split(',')],
|
||||
help="Comma-separated matplotlib formats to use. Allows '0' as an "
|
||||
"alternative for ','.")
|
||||
parser.add_argument(
|
||||
'-W', '--width',
|
||||
type=lambda x: int(x, 0),
|
||||
help="Width in pixels. Defaults to %r." % WIDTH)
|
||||
parser.add_argument(
|
||||
'-H', '--height',
|
||||
type=lambda x: int(x, 0),
|
||||
help="Height in pixels. Defaults to %r." % HEIGHT)
|
||||
parser.add_argument(
|
||||
'-X', '--xlim',
|
||||
type=lambda x: tuple(
|
||||
dat(x) if x.strip() else None
|
||||
for x in x.split(',')),
|
||||
help="Range for the x-axis.")
|
||||
parser.add_argument(
|
||||
'-Y', '--ylim',
|
||||
type=lambda x: tuple(
|
||||
dat(x) if x.strip() else None
|
||||
for x in x.split(',')),
|
||||
help="Range for the y-axis.")
|
||||
parser.add_argument(
|
||||
'--xlog',
|
||||
action='store_true',
|
||||
help="Use a logarithmic x-axis.")
|
||||
parser.add_argument(
|
||||
'--ylog',
|
||||
action='store_true',
|
||||
help="Use a logarithmic y-axis.")
|
||||
parser.add_argument(
|
||||
'--x2',
|
||||
action='store_true',
|
||||
help="Use base-2 prefixes for the x-axis.")
|
||||
parser.add_argument(
|
||||
'--y2',
|
||||
action='store_true',
|
||||
help="Use base-2 prefixes for the y-axis.")
|
||||
parser.add_argument(
|
||||
'--xticks',
|
||||
type=lambda x: int(x, 0) if ',' not in x
|
||||
else [dat(x) for x in x.split(',')],
|
||||
help="Ticks for the x-axis. This can be explicit comma-separated "
|
||||
"ticks, the number of ticks, or 0 to disable.")
|
||||
parser.add_argument(
|
||||
'--yticks',
|
||||
type=lambda x: int(x, 0) if ',' not in x
|
||||
else [dat(x) for x in x.split(',')],
|
||||
help="Ticks for the y-axis. This can be explicit comma-separated "
|
||||
"ticks, the number of ticks, or 0 to disable.")
|
||||
parser.add_argument(
|
||||
'--xunits',
|
||||
help="Units for the x-axis.")
|
||||
parser.add_argument(
|
||||
'--yunits',
|
||||
help="Units for the y-axis.")
|
||||
parser.add_argument(
|
||||
'--xlabel',
|
||||
help="Add a label to the x-axis.")
|
||||
parser.add_argument(
|
||||
'--ylabel',
|
||||
help="Add a label to the y-axis.")
|
||||
parser.add_argument(
|
||||
'--xticklabels',
|
||||
type=lambda x: [x.strip() for x in x.split(',')],
|
||||
help="Comma separated xticklabels.")
|
||||
parser.add_argument(
|
||||
'--yticklabels',
|
||||
type=lambda x: [x.strip() for x in x.split(',')],
|
||||
help="Comma separated yticklabels.")
|
||||
parser.add_argument(
|
||||
'-t', '--title',
|
||||
help="Add a title.")
|
||||
parser.add_argument(
|
||||
'-l', '--legend',
|
||||
nargs='?',
|
||||
choices=['above', 'below', 'left', 'right'],
|
||||
const='right',
|
||||
help="Place a legend here.")
|
||||
parser.add_argument(
|
||||
'--dark',
|
||||
action='store_true',
|
||||
help="Use the dark style.")
|
||||
parser.add_argument(
|
||||
'--ggplot',
|
||||
action='store_true',
|
||||
help="Use the ggplot style.")
|
||||
parser.add_argument(
|
||||
'--xkcd',
|
||||
action='store_true',
|
||||
help="Use the xkcd style.")
|
||||
parser.add_argument(
|
||||
'--font',
|
||||
type=lambda x: [x.strip() for x in x.split(',')],
|
||||
help="Font family for matplotlib.")
|
||||
parser.add_argument(
|
||||
'--font-size',
|
||||
help="Font size for matplotlib. Defaults to %r." % FONT_SIZE)
|
||||
parser.add_argument(
|
||||
'--background',
|
||||
help="Background color to use.")
|
||||
sys.exit(main(**{k: v
|
||||
for k, v in vars(parser.parse_intermixed_args()).items()
|
||||
if v is not None}))
|
||||
Reference in New Issue
Block a user