Box and stuff

code/bar_plot.py

@@ -60,52 +60,6 @@ def plot_histogram(bars_dict_list: List[dict], filename='histogram_plot'):
     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):