bar plots

code/bar_plot.py

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+import os
+
+from experiment import Experiment
+# noinspection PyUnresolvedReferences
+from soup import Soup
+from typing import List
+
+from collections import defaultdict
+
+from argparse import ArgumentParser
+import numpy as np
+
+import plotly as pl
+import plotly.graph_objs as go
+
+import colorlover as cl
+
+import dill
+
+
+def build_args():
+    arg_parser = ArgumentParser()
+    arg_parser.add_argument('-i', '--in_file', nargs=1, type=str)
+    arg_parser.add_argument('-o', '--out_file', nargs='?', default='out', type=str)
+    return arg_parser.parse_args()
+
+
+def plot_histogram(bars_dict_list: List[dict], filename='histogram_plot'):
+    # catagorical
+    ryb = cl.scales['10']['div']['RdYlBu']
+
+    data = []
+
+    if bars_dict_list:
+        keys = bars_dict_list[0].keys()
+        keyDict = defaultdict(list)
+    else:
+        raise IOError('This List is empty, is this intended?')
+
+    for key in keys:
+        keyDict[key] = np.mean([bars_dict[key] for bars_dict in bars_dict_list])
+
+    hist = go.Bar(
+        y=[keyDict.get(key, 0) for key in keys],
+        x=[key for key in keys],
+        showlegend=False,
+        marker=dict(
+            color=[ryb[bar_id] for bar_id in range(len(keys))]
+        ),
+    )
+    data.append(hist)
+
+    layout = dict(title='{} Histogram Plot'.format('Experiment Name Penis'),
+                  # height=400, width=400,
+                  # margin=dict(l=20, r=20, t=20, b=20)
+                  )
+
+    fig = go.Figure(data=data, layout=layout)
+    pl.offline.plot(fig, auto_open=True, filename=filename)
+    pass
+
+
+def line_plot(line_dict_list, filename='lineplot'):
+    # lines with standard deviation
+    # Transform data accordingly and plot it
+    data = []
+    rdylgn = cl.scales['10']['div']['RdYlGn']
+    rdylgn_background = [scale + (0.4,) for scale in cl.to_numeric(rdylgn)]
+    for line_id, line_dict in enumerate(line_dict_list):
+        name = line_dict.get('name', 'gimme a name')
+
+        upper_bound = go.Scatter(
+            name='Upper Bound',
+            x=line_dict['x'],
+            y=line_dict['upper_y'],
+            mode='lines',
+            marker=dict(color="#444"),
+            line=dict(width=0),
+            fillcolor=rdylgn_background[line_id],
+        )
+
+        trace = go.Scatter(
+            x=line_dict['x'],
+            y=line_dict['main_y'],
+            mode='lines',
+            name=name,
+            line=dict(color=line_id),
+            fillcolor=rdylgn_background[line_id],
+            fill='tonexty')
+
+        lower_bound = go.Scatter(
+            name='Lower Bound',
+            x=line_dict['x'],
+            y=line_dict['lower_y'],
+            marker=dict(color="#444"),
+            line=dict(width=0),
+            mode='lines')
+
+        data.extend([upper_bound, trace, lower_bound])
+
+    layout=dict(title='{} Line Plot'.format('Experiment Name Penis'),
+                height=800, width=800, margin=dict(l=0, r=0, t=0, b=0))
+
+    fig = go.Figure(data=data, layout=layout)
+    pl.offline.plot(fig, auto_open=True, filename=filename)
+    pass
+
+
+def search_and_apply(absolut_file_or_folder, plotting_function, files_to_look_for=[]):
+    if os.path.isdir(absolut_file_or_folder):
+        for sub_file_or_folder in os.scandir(absolut_file_or_folder):
+            search_and_apply(sub_file_or_folder.path, plotting_function, files_to_look_for=files_to_look_for)
+    elif absolut_file_or_folder.endswith('.dill'):
+        file_or_folder = os.path.split(absolut_file_or_folder)[-1]
+        if file_or_folder in files_to_look_for and not os.path.exists('{}.html'.format(file_or_folder[:-5])):
+            print('Apply Plotting function "{func}" on file "{file}"'.format(func=plotting_function.__name__,
+                                                                             file=absolut_file_or_folder)
+                  )
+
+            with open(absolut_file_or_folder, 'rb') as in_f:
+                exp = dill.load(in_f)
+
+            plotting_function(exp, filename='{}.html'.format(absolut_file_or_folder[:-5]))
+
+        else:
+            pass
+            # This was not a file i should look for.
+    else:
+        # This was either another FilyType or Plot.html alerady exists.
+        pass
+
+
+if __name__ == '__main__':
+    args = build_args()
+    in_file = args.in_file[0]
+    out_file = args.out_file
+
+    search_and_apply(in_file, plot_histogram, files_to_look_for=['all_counters.dill'])
+    # , 'all_names.dill', 'all_notable_nets.dill'])