Updating setup.cfg for new pep changes

plotille/__init__.py

@@ -27,14 +27,15 @@
 from ._cmaps import Colormap, ListedColormap
 from ._colors import color, hsl
 from ._figure import Figure
-from ._graphs import hist, hist_aggregated, histogram, plot, scatter
+from ._graphs import hbar, hist, hist_aggregated, histogram, plot, scatter
 
 
 __all__ = [
     'Canvas',
     'color',
     'Colormap',
     'Figure',
+    'hbar',
     'hist',
     'hist_aggregated',
     'histogram',

plotille/_graphs.py

@@ -25,13 +25,59 @@
 
 from math import log
 import os
+from typing import List, Optional
 
 from ._colors import color
 from ._figure import Figure
 from ._input_formatter import InputFormatter
 from ._util import hist as compute_hist
 
 
+def hbar(counts, labels=None, width=80, log_scale=False, linesep=os.linesep,
+         lc=None, bg=None, color_mode='names'):
+    """
+    Create a horizontal bar chart.
+
+    Parameters:
+        counts: List[int]    Counts for each bucket.
+        labels: List[str]    Labels for the provided counts. Optional.
+                             Hence, `len(labels) == len(counts)`.
+        width: int           The number of characters for the width (columns).
+        log_scale: bool      Scale the histogram with `log` function.
+        linesep: str         The requested line seperator. default: os.linesep
+        lc: multiple         Give the line color.
+        bg: multiple         Give the background color.
+        color_mode: str      Specify color input mode; 'names' (default), 'byte' or 'rgb'
+                             see plotille.color.__docs__
+    Returns:
+        str: histogram over `X` from left to right.
+    """
+    def _scale(a):
+        if log_scale and a > 0:
+            return log(a)
+        return a
+
+    h = counts
+
+    ipf = InputFormatter()
+    l_max = max(len(label) for label in labels)
+    h_max = _scale(max(h)) or 1
+
+    bins_count = len(h)
+
+    canvas = ['{}| {} {}'.format('label'.ljust(l_max + 1), '_' * width, 'Total Counts')]
+    lasts = ['', '⠂', '⠆', '⠇', '⡇', '⡗', '⡷', '⡿']
+    for i in range(bins_count):
+        height = int(width * 8 * _scale(h[i]) / h_max)
+        canvas += ['{} | {} {}'.format(
+            ipf.fmt(labels[i], delta=None, chars=l_max, left=True),
+            color('⣿' * (height // 8) + lasts[height % 8], fg=lc, bg=bg, mode=color_mode)
+            + color('\u2800' * (width - (height // 8) + int(height % 8 == 0)), bg=bg, mode=color_mode),
+            h[i])]
+    canvas += ['‾' * (l_max + 2 + 3 + width + 12)]
+    return linesep.join(canvas)
+
+
 def hist_aggregated(counts, bins, width=80, log_scale=False, linesep=os.linesep,
                     lc=None, bg=None, color_mode='names'):
     """