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GeezerVison is showing github.com — bashplotlib/bashplotlib/histogram.py at master · glamp/bashplotlib Expand file tree/ Copy pathhistogram.pyMore file actions 261 lines (213 loc) · 7.99 KB / Copy pathhistogram.pyFile metadata and controls261 lines (213 loc) · 7.99 KB 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 #!/usr/bin/env python # -*- coding: utf-8 -*- """ Plotting terminal based histograms """ from __future__ import print_function from __future__ import division import os import sys import math import optparse from os.path import dirname from .utils.helpers import * from .utils.commandhelp import hist def calc_bins(n, min_val, max_val, h=None, binwidth=None): """ Calculate number of bins for the histogram """ if not h: h = max(10, math.log(n + 1, 2)) if binwidth == 0: binwidth = 0.1 if binwidth is None: binwidth = (max_val - min_val) / h for b in drange(min_val, max_val, step=binwidth, include_stop=True): if b.is_integer(): yield int(b) else: yield b def read_numbers(numbers): """ Read the input data in the most optimal way """ if isiterable(numbers): for number in numbers: yield float(str(number).strip()) else: with open(numbers) as fh: for number in fh: yield float(number.strip()) def run_demo(): """ Run a demonstration """ module_dir = dirname(dirname(os.path.realpath(__file__))) demo_file = os.path.join(module_dir, 'examples/data/exp.txt') if not os.path.isfile(demo_file): sys.stderr.write("demo input file not found!\n") sys.stderr.write("run the downloaddata.sh script in the example first\n") sys.exit(1) # plotting a histogram print("plotting a basic histogram") print("plot_hist('%s')" % demo_file) print("hist -f %s" % demo_file) print("cat %s | hist" % demo_file) plot_hist(demo_file) print("*" * 80) # with colours print("histogram with colours") print("plot_hist('%s', colour='blue')" % demo_file) print("hist -f %s -c blue" % demo_file) plot_hist(demo_file, colour='blue') print("*" * 80) # changing the shape of the point print("changing the shape of the bars") print("plot_hist('%s', pch='.')" % demo_file) print("hist -f %s -p ." % demo_file) plot_hist(demo_file, pch='.') print("*" * 80) # changing the size of the plot print("changing the size of the plot") print("plot_hist('%s', height=35.0, bincount=40)" % demo_file) print("hist -f %s -s 35.0 -b 40" % demo_file) plot_hist(demo_file, height=35.0, bincount=40) def plot_hist(f, height=20.0, bincount=None, binwidth=None, pch="o", colour="default", title="", xlab=None, showSummary=False, regular=False): """ Make a histogram Arguments: height -- the height of the histogram in # of lines bincount -- number of bins in the histogram binwidth -- width of bins in the histogram pch -- shape of the bars in the plot colour -- colour of the bars in the terminal title -- title at the top of the plot xlab -- boolean value for whether or not to display x-axis labels showSummary -- boolean value for whether or not to display a summary regular -- boolean value for whether or not to start y-labels at 0 """ if pch is None: pch = "o" if isinstance(f, str): with open(f) as fh: f = fh.readlines() min_val, max_val = None, None n, mean, sd = 0.0, 0.0, 0.0 for number in read_numbers(f): n += 1 if min_val is None or number < min_val: min_val = number if max_val is None or number > max_val: max_val = number mean += number mean /= n for number in read_numbers(f): sd += (mean - number)**2 sd /= (n - 1) sd **= 0.5 bins = list(calc_bins(n, min_val, max_val, bincount, binwidth)) hist = dict((i, 0) for i in range(len(bins))) for number in read_numbers(f): for i, b in enumerate(bins): if number <= b: hist[i] += 1 break if number == max_val and max_val > bins[len(bins) - 1]: hist[len(hist) - 1] += 1 min_y, max_y = min(hist.values()), max(hist.values()) start = max(min_y, 1) stop = max_y + 1 if regular: start = 1 if height is None: height = stop - start if height > 20: height = 20 ys = list(drange(start, stop, float(stop - start) / height)) ys.reverse() nlen = max(len(str(min_y)), len(str(max_y))) + 1 if title: print(box_text(title, max(len(hist) * 2, len(title)), nlen)) print() used_labs = set() for y in ys: ylab = str(int(y)) if ylab in used_labs: ylab = "" else: used_labs.add(ylab) ylab = " " * (nlen - len(ylab)) + ylab + "|" print(ylab, end=' ') for i in range(len(hist)): if int(y) <= hist[i]: printcolour(pch, True, colour) else: printcolour(" ", True, colour) print('') xs = hist.keys() print(" " * (nlen + 1) + "-" * len(xs)) if xlab: labels = abbreviate([str(b) for b in bins]) xlen = len(labels[0]) for i in range(0, xlen): printcolour(" " * (nlen + 1), True, colour) for x in range(0, len(hist)): num = labels[x] if x % 2 != 0: pass elif i < len(num): print(num[i], end=' ') else: print(" ", end=' ') print('') center = max(map(len, map(str, [n, min_val, mean, max_val]))) center += 15 if showSummary: print() print("-" * (2 + center)) print("|" + "Summary".center(center) + "|") print("-" * (2 + center)) summary = "|" + ("observations: %d" % n).center(center) + "|\n" summary += "|" + ("min value: %f" % min_val).center(center) + "|\n" summary += "|" + ("mean : %f" % mean).center(center) + "|\n" summary += "|" + ("std dev : %f" % sd).center(center) + "|\n" summary += "|" + ("max value: %f" % max_val).center(center) + "|\n" summary += "-" * (2 + center) print(summary) def main(): parser = optparse.OptionParser(usage=hist['usage']) parser.add_option( '-f', '--file', help='a file containing a column of numbers', default=None, dest='f') parser.add_option('-t', '--title', help='title for the chart', default="", dest='t') parser.add_option( '-b', '--bins', help='number of bins in the histogram', type='int', default=None, dest='b') parser.add_option('-w', '--binwidth', help='width of bins in the histogram', type='float', default=None, dest='binwidth') parser.add_option('-s', '--height', help='height of the histogram (in lines)', type='int', default=None, dest='h') parser.add_option('-p', '--pch', help='shape of each bar', default='o', dest='p') parser.add_option('-x', '--xlab', help='label bins on x-axis', default=None, action="store_true", dest='x') parser.add_option('-c', '--colour', help='colour of the plot (%s)' % colour_help, default='default', dest='colour') parser.add_option('-d', '--demo', help='run demos', action='store_true', dest='demo') parser.add_option('-n', '--nosummary', help='hide summary', action='store_false', dest='showSummary', default=True) parser.add_option('-r', '--regular', help='use regular y-scale (0 - maximum y value), instead of truncated y-scale (minimum y-value - maximum y-value)', default=False, action="store_true", dest='regular') opts, args = parser.parse_args() if opts.f is None: if len(args) > 0: opts.f = args[0] elif opts.demo is None or opts.demo is False: opts.f = sys.stdin.readlines() if opts.demo: run_demo() elif opts.f: plot_hist(opts.f, opts.h, opts.b, opts.binwidth, opts.p, opts.colour, opts.t, opts.x, opts.showSummary, opts.regular) else: print("nothing to plot!") if __name__ == "__main__": main() |
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