diff options
| -rw-r--r-- | doc/index.html | 4 | ||||
| -rw-r--r-- | lulua/plot.py | 37 |
2 files changed, 32 insertions, 9 deletions
diff --git a/doc/index.html b/doc/index.html index 4e14658..474e444 100644 --- a/doc/index.html +++ b/doc/index.html @@ -137,8 +137,10 @@ <p> summing up to roughly 1.5 billion characters. <!-- --> - The plot below shows <bdo dir="ltr" lang="ar">ا ل ي و م ن</bdo> can be + The plot below shows <bdo dir="ltr" lang="ar">ا ل ي م و ن</bdo> can be considered the most frequently used letters in the Arabic language. + <!-- --> + Together they account for more than 50% of all letters in the corpus. </p> </div> </div> diff --git a/lulua/plot.py b/lulua/plot.py index 2a7d678..885500a 100644 --- a/lulua/plot.py +++ b/lulua/plot.py @@ -21,7 +21,7 @@ import sys, argparse, json, unicodedata, pickle, logging from operator import itemgetter from bokeh.plotting import figure -from bokeh.models import ColumnDataSource +from bokeh.models import ColumnDataSource, LinearAxis, Range1d from bokeh.embed import json_item from .layout import * @@ -42,10 +42,6 @@ def letterfreq (args): keyboard = defaultKeyboards['ibmpc105'] layout = defaultLayouts[args.layout].specialize (keyboard) - xdata = [] - xlabel = [] - ydata = [] - ydataAbs = [] # letter-based binning, in case multiple buttons are mapped to the same # letter. @@ -59,15 +55,40 @@ def letterfreq (args): combinationTotal = sum (binned.values ()) logging.info (f'total binned combinations {combinationTotal}') + xdata = [] + xlabel = [] + ydata = [] + ydataAbs = [] + ydataCumAbs = [] + ydataCumRel = [] + + cumSum = combinationTotal for i, (k, v) in enumerate (sorted (binned.items (), key=itemgetter (1))): xdata.append (i) xlabel.append (k) - ydata.append (v/combinationTotal*100) + ydata.append (v/combinationTotal) ydataAbs.append (v) - source = ColumnDataSource(data=dict(x=xdata, letters=xlabel, rel=ydata, abs=ydataAbs)) - p = figure(plot_width=1000, plot_height=500, x_range=xlabel, sizing_mode='scale_both', tooltips=[('frequency', '@rel%'), ('count', '@abs')]) + # cumulative + ydataCumAbs.append (cumSum) + ydataCumRel.append (cumSum/combinationTotal) + cumSum -= v + + source = ColumnDataSource(data=dict(x=xdata, letters=xlabel, rel=ydata, abs=ydataAbs, cum=ydataCumAbs, cumRel=ydataCumRel)) + p = figure( + plot_width=1000, + plot_height=500, + x_range=xlabel, + y_range=(0, max (ydata)), + sizing_mode='scale_both', + tooltips=[('frequency', '@rel'), ('cumulative', '@cumRel'), ('count', '@abs')], + ) p.vbar(x='letters', width=0.5, top='rel', color="#dc322f", source=source) + + p.extra_y_ranges = {"cum": Range1d()} + p.line ('letters', 'cumRel', source=source, y_range_name='cum', line_width=2) + p.add_layout(LinearAxis(y_range_name="cum"), 'right') + p.xgrid.grid_line_color = None p.xaxis.major_label_text_font_size = "2em" p.xaxis.major_label_text_font_size = "2em" |