Add generic plot script

Plot-Scripts/generic_plotScript.py

+import numpy as np
+import matplotlib.pyplot as plt
+import math
+import os
+import subprocess
+import fileinput
+import re
+import sys
+import matplotlib as mpl
+from mpl_toolkits.mplot3d import Axes3D
+import matplotlib.cm as cm
+import matplotlib.ticker as ticker
+from matplotlib.ticker import MultipleLocator,FormatStrFormatter,MaxNLocator
+import seaborn as sns
+import matplotlib.colors as mcolors
+# ----------------------------------------------------
+# --- Define Plot style:
+# plt.style.use("seaborn-white")
+plt.style.use("seaborn-pastel")
+# plt.style.use("seaborn-colorblind")
+# plt.style.use("seaborn")
+mpl.rcParams['text.usetex'] = True
+mpl.rcParams["font.family"] = "serif"
+mpl.rcParams["font.size"] = "14"
+mpl.rcParams['xtick.bottom'] = True
+mpl.rcParams['xtick.major.size'] = 3
+mpl.rcParams['xtick.minor.size'] = 1.5
+mpl.rcParams['xtick.major.width'] = 0.75
+mpl.rcParams['ytick.left'] = True
+mpl.rcParams['ytick.major.size'] = 3
+mpl.rcParams['ytick.minor.size'] = 1.5
+mpl.rcParams['ytick.major.width'] = 0.75
+
+#Adjust grid:
+mpl.rcParams['axes.labelpad'] = 3
+mpl.rcParams['grid.linewidth'] = 0.25
+mpl.rcParams['grid.alpha'] = 0.9 # 0.75
+mpl.rcParams['grid.linestyle'] = '-'
+mpl.rcParams['grid.color']   = 'gray'#'black'
+mpl.rcParams['text.latex.preamble'] = r'\usepackage{amsfonts}' # Makes Use of \mathbb possible.
+# ----------------------------------------------------------------------------------------
+width = 5.79
+height = width / 1.618 # The golden ratio.
+
+# fig = plt.figure()      #main
+fig, ax = plt.subplots(figsize=(width,height))
+
+
+
+meshsize = [1/2, 1/4, 1/8, 1/16,1/32, 1/64, 1/128]       # mesh-size
+
+
+CC_L2 = [6.894e-01,3.235e-02,8.298e-03 ,2.129e-03,5.370e-04, 1.340e-04 , 3.400e-05] #L2-Error
+CC_H1 = [6.580e+00,7.599e-01, 3.698e-01,1.839e-01, 9.181e-02, 4.589e-02, 2.294e-02] #H1-Error
+
+# --------------- Plot Lines + Scatter -----------------------
+line_1 = ax.plot(meshsize, CC_L2,                    # data
+             # color='forestgreen',              # linecolor
+             marker='D',                         # each marker will be rendered as a circle
+             markersize=6,                       # marker size
+              markerfacecolor='darkorange',      # marker facecolor
+             markeredgecolor='black',            # marker edgecolor
+             markeredgewidth=1,                  # marker edge width
+             # linestyle='dashdot',              # line style will be dash line
+             linewidth=1.5,                      # line width
+             zorder=3,
+             label = r"$CC_{L_2}$")
+
+line_2 = ax.plot(meshsize, CC_H1,                     # data
+             # color='orangered',                # linecolor
+             marker='o',                         # each marker will be rendered as a circle
+             markersize=6,                       # marker size
+             markerfacecolor='cornflowerblue',   # marker facecolor
+             markeredgecolor='black',            # marker edgecolor
+             markeredgewidth=1,                  # marker edge width
+             # linestyle='--',                   # line style will be dash line
+             linewidth=1.5,                      # line width
+             zorder=3,
+             alpha=0.8,                           # Change opacity
+             label = r"$CC_{H_1}$")
+
+# --- Plot order line
+x = np.linspace(0.01,1/2,100)
+y = CC_L2[0]*x**2
+OrderLine = ax.plot(x,y,linestyle='--', label=r"$\mathcal{O}(h)$")
+
+
+
+Fix_value = 7.674124
+l3 = plt.axhline(y = Fix_value, color = 'black', linewidth=0.75, linestyle = 'dashed')
+# --------------- Set Axes  -----------------------
+ax.set_title(r"Some  Computation $(\mathbb{R}\to \mathbb{R})$")   # Plot - Title
+plt.xscale('log') # Use Logarithmic-Scale
+plt.yscale('log')
+ax.set_xlabel(r"Mesh size", labelpad=4)
+ax.set_ylabel(r"Error $||u-u_h ||_{L^2}$", labelpad=4)
+plt.tight_layout()
+
+# --- Set Line labels
+# line_labels = [r"$CC_{L_2}$",r"$CC_{H_1}$", r"$\mathcal{O}(h)$"]
+
+# --- Set Legend
+legend = ax.legend()
+# legend = fig.legend([line_1 , line_2, OrderLine],
+#                     labels = line_labels,
+#                     bbox_to_anchor=[0.97, 0.50],
+#                     # bbox_to_anchor=[0.97, 0.53],
+#                     # loc='center',
+#                     ncol=1,                  # Number of columns used for legend
+#                     # borderaxespad=0.15,    # Small spacing around legend box
+#                     frameon=True,
+#                     prop={'size': 10})
+
+
+frame = legend.get_frame()
+frame.set_edgecolor('black')
+
+
+# --- Adjust left/right spacing:
+# plt.subplots_adjust(right=0.81)
+# plt.subplots_adjust(left=0.11)
+
+# ---------- Output Figure as pdf:
+fig.set_size_inches(width, height)
+fig.savefig('Plot_Template.pdf')
+# plt.show()
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