text_histogram.py

import pandas as pd


def histogram(values, bins=100, xmin=None, xmax=None, xstr=lambda x: '%s' % x, linewidth=120, symbol='B0'):
    sym = {
        'B1': u'\u2591',  # Light shade
        'B2': u'\u2592',  # Medium shade
        'B3': u'\u2593',  # Dark shade
        'B4': u'\u2588',  # Full Block
        'B0': u'\u25a0'}  # Black square

    x = pd.Series(values)
    xmin = xmin or x.min()
    xmax = xmax or x.max()
    counts = x[(x >= xmin) & (x <= xmax)].value_counts(sort=False, bins=bins)

    strings = [(xstr(bucket.mid), count) for bucket, count in counts.iteritems()]
    max_string = max(map(lambda x: len(x[0]), strings))
    scale = (linewidth - 11. - max_string) / counts.max()
    print("# NumSamples = %d; Min = %s; Max = %s" % (len(values), xstr(xmin), xstr(xmax)))

    for name, count in strings:
        print('%s [%6d]: %s' % (name.ljust(max_string), count, sym.get(symbol, symbol) * int(count * scale)))