common_base_time, optional color parameter

cnl_library.py

@@ -17,6 +17,23 @@ import csv
 import os
 
 
+
+def get_common_base_time(cnl_files):
+    base_times = list()
+
+    for file in cnl_files:
+        if ( type(file) == str ):
+            cnl_file = CNLParser(file)
+        else:
+            cnl_file = file
+
+        base_times.append( cnl_file.get_machine_readable_date() )
+
+    common_base_time = min( base_times )
+
+    return common_base_time
+
+
 def human_readable_from_seconds(seconds):
     if ( seconds == 0 ):
         return "0"

cnl_plot.py

@@ -102,11 +102,15 @@ def get_min_max_x(cnl_file):
 
 
 
-def plot(ax, x_values, cols, active_cols, col_labels, alpha, **kwargs):
+def plot(ax, x_values, cols, active_cols, col_labels, alpha, color=None, **kwargs):
     #use_ema = kwargs.get("use_ema")
     ema_only = kwargs.get("ema_only")
     smooth = kwargs.get("smooth")
 
+    plot_kws = dict()
+    if ( color ):
+        plot_kws["color"] = color
+
     for col_name, col_label in zip(active_cols, col_labels):
         data = cols[col_name]
         if ( len(x_values) == len(data)*2 ):
@@ -114,11 +118,11 @@ def plot(ax, x_values, cols, active_cols, col_labels, alpha, **kwargs):
 
         # * plot *
         if ( not ema_only ):
-            ax.plot(x_values , data, label=col_label, alpha=alpha)
+            ax.plot(x_values , data, label=col_label, alpha=alpha, **plot_kws)
 
         ## plot ema
         if ( ema_only and smooth ):
-            ax.plot(x_values , calc_ema(data, smooth), label=col_label)
+            ax.plot(x_values , calc_ema(data, smooth), label=col_label, **plot_kws)
 
 
 def plot_net(ax, cnl_file, args, layout):