Added OldStyle file and new qp version with colour gradient.

plot/OldStyle.py

+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+'''
+An old journal style plotting configuration file
+'''
+
+import numpy as np
+import re
+from matplotlib import pyplot as plt
+from matplotlib import cm
+from matplotlib.colors import ListedColormap, LinearSegmentedColormap
+import sys
+
+plt.rc('axes', linewidth=2)
+label_fontsize = 20
+ticks_fontsize = 20
+linewidth = 3
+axes_linewidth = 1
+major_tick_length = 15
+minor_tick_length = major_tick_length//2
+no_tick = 0
+
+# print(plt.rcParams.keys())
+# sys.exit()
+plt.rcParams['font.family'] = 'Latin Modern Math'
+plt.rcParams['font.weight'] = 'normal'
+plt.rcParams['font.variant'] = 'small-caps' # Unfortunately, this does not work yet with matplotlib
+plt.rcParams['axes.linewidth'] = axes_linewidth
+plt.rcParams['lines.linewidth'] = linewidth
+plt.rcParams['axes.labelsize'] = label_fontsize
+plt.rcParams['legend.fontsize'] = label_fontsize
+plt.rcParams['xtick.major.size'] = major_tick_length
+plt.rcParams['xtick.minor.visible'] = True
+plt.rcParams['xtick.minor.size'] = minor_tick_length
+plt.rcParams['xtick.labelsize'] = ticks_fontsize
+plt.rcParams['ytick.labelsize'] = ticks_fontsize
+plt.rcParams['xtick.direction'] = 'in'
+plt.rcParams['xtick.top'] = True
+plt.rcParams['ytick.direction'] = 'in'
+plt.rcParams['ytick.right'] = True
+plt.rcParams['ytick.major.size'] = major_tick_length
+plt.rcParams['ytick.minor.visible'] = True
+plt.rcParams['ytick.minor.size'] = minor_tick_length
+plt.rcParams['xtick.major.width'] = axes_linewidth
+plt.rcParams['ytick.major.width'] = axes_linewidth
+plt.rcParams['xtick.minor.width'] = axes_linewidth
+plt.rcParams['ytick.minor.width'] = axes_linewidth
+plt.rcParams['lines.markerfacecolor'] = 'white'
+plt.rcParams['lines.markeredgecolor'] = 'black'
+nlinestyle = 4
+linestyle_list = ['-', '--', '-.', ':']
+color_list = ['#000000', '#888888', '#CCCCCC']
+marker_list = ['o', 's', 'v', '^']
+plt.rcParams['axes.prop_cycle'] = plt.cycler(color=color_list) * (plt.cycler(linestyle=linestyle_list) + plt.cycler(marker=marker_list))
+
+##### SOME EXAMPLES FOR TESTING PURPOSE ####
+##### WITH SOME PERSONAL ADVICES
+
+# 1) Better to set font and stuff for each axes
+# 2) The bigger the better
+
+##### Plotting linear data
+npoints = 10
+for i in range(12):
+    data = np.linspace(0, 1, 10)
+    plt.plot((i+1)*data, label=" ".join(['data', str(i+1)]))
+ax = plt.gca()  # Get current axes to set properties
+ax.legend(frameon=False)  # Fat font, no frame
+ax.set_xlabel(r"PIF ($\int_{-\infty}^{3} \frac{x}{l_0}$)")
+ax.set_ylabel("POUET")
+
+##### Plotting heatmap
+# data = np.random.rand(20, 20)
+# plt.pcolormesh(data, cmap=GCcmap, rasterized=True)  # Data is output from ListedColormap
+# plt.colorbar(ax = plt.gca())  # Puts the colorbar on the side
+
+##### Show result
+plt.show()

plot/qp

@@ -11,12 +11,12 @@ import sys
 
 import re
 import GCcolors
-import povray as pov
 from itertools import cycle
 
 import numpy as np
 from scipy.signal import savgol_filter
 
+import matplotlib as mpl
 from matplotlib import pyplot as plt
 # plt.rcParams.update({'lines.markeredgewidth': 4})
 plt.rcParams.update({'font.size': 22, 'lines.linewidth': 3.})
@@ -310,7 +310,7 @@ def main():
                         help='File name followed by columns and optionally lines to skip.')
     parser.add_argument('-n', '--names', dest='names',
                         nargs='+', action='append',
-                        default=[],
+                        default=[''],
                         help='Names for the legend.')
     parser.add_argument('-l', '--loglog', dest='is_log_xy',
                         action='store_true',
@@ -401,11 +401,13 @@ def main():
                   'steelblue', 'blue', 'darkblue', 'indigo']
     elif grad:
         colors = []
-        g = pov.gradient(name='aquatic')
+        col1 = np.array([2., 242., 245.])/255.
+        col2 = np.array([252., 44., 255.])/255.
         for i in range(grad):
-            x = i/grad
-            c = g.extract(x)
-            color = (c.r, c.g, c.b)
+            x = i/(grad-1)
+            # c = g.extract(x)
+            # color = (c.r, c.g, c.b)
+            color = (1-x)*col1 + x*col2
             colors.append(color)
     else:
         colors = GCcolors.color_list