removing commented code lines in plot.py (#75)

Co-authored-by: Rahul Kikkeri Nagaraja <[email protected]>

shape_optimization/use_cases/02_Strain_Energy_Minimization_3D_Shell/plot_results.py

@@ -1,32 +1,21 @@
-from matplotlib.ticker import TickHelper
 import pandas as pd
 import matplotlib.pyplot as plt
 import matplotlib.ticker as ticker
+
 plt.style.use('seaborn')
 
-history = "Optimization_Results_3.0"
+history = "Optimization_Results"
 
 plot = {
     "name": "strain energy",
     "column_name": "f"
 }
 
-
 path = f"{history}/optimization_log.csv"
 
 df = pd.read_csv(path, delimiter=",")
 df.columns = [x.strip() for x in df.columns]
 
-"""
-fig, axs = plt.subplots(1, len(plots), figsize=(18, 6))
-
-for plot, ax in zip(plots, axs):
-    for column_name in plot["column_names"]:
-        ax.plot(df[column_name], label=column_name)
-    ax.legend()
-    ax.set_title(plot["name"])
-"""
-
 fig, ax = plt.subplots(1, 1, figsize=(4, 6))
 ax.plot(df[plot["column_name"]], label=plot["column_name"])
 ax.legend(fontsize=11)
@@ -36,23 +25,4 @@
 ax.yaxis.set_major_locator(ticker.MultipleLocator(0.5))   # tick_spacing
 ax.xaxis.set_major_locator(ticker.MultipleLocator(10))   # tick_spacing
 
-"""grid = plt.GridSpec(2, 3)
-plot_f = plt.subplot(grid[:, 0])
-plot_c1 = plt.subplot(grid[0, 1])
-plot_c2 = plt.subplot(grid[0, 2])
-plot_c3 = plt.subplot(grid[1, 1])
-plot_stp = plt.subplot(grid[1, 2])
-axs_list = [plot_f, plot_c1, plot_c2, plot_c3, plot_stp]
-for plot, ax in zip(plots, axs_list):
-    for column_name in plot["column_names"]:
-        ax.plot(df[column_name], label=column_name)
-    ax.legend(fontsize=11)
-    ax.set_title(plot["name"], fontsize=13)
-    ax.tick_params(axis='x', labelsize=13)
-    ax.tick_params(axis='y', labelsize=13)
-    ax.xaxis.set_major_locator(ticker.MultipleLocator(4))   # tick_spacing is 4
-    if plot['name'] == 'mass':
-        ax.yaxis.set_major_locator(ticker.MultipleLocator(1))
-plt.tight_layout()
-"""
 plt.show()

shape_optimization/use_cases/06_bead_optimization_plate/plot_results.py

@@ -1,4 +1,3 @@
-from matplotlib.ticker import TickHelper
 import pandas as pd
 import matplotlib.pyplot as plt
 import matplotlib.ticker as ticker
@@ -11,22 +10,11 @@
     "column_name": "f"
 }
 
-
 path = f"{history}/optimization_log.csv"
 
 df = pd.read_csv(path, delimiter=",")
 df.columns = [x.strip() for x in df.columns]
 
-"""
-fig, axs = plt.subplots(1, len(plots), figsize=(18, 6))
-
-for plot, ax in zip(plots, axs):
-    for column_name in plot["column_names"]:
-        ax.plot(df[column_name], label=column_name)
-    ax.legend()
-    ax.set_title(plot["name"])
-"""
-
 fig, ax = plt.subplots(1, 1, figsize=(4, 6))
 ax.plot(df[plot["column_name"]], label=plot["column_name"])
 ax.legend(fontsize=11)
@@ -36,23 +24,4 @@
 ax.yaxis.set_major_locator(ticker.MultipleLocator(0.001))   # tick_spacing
 ax.xaxis.set_major_locator(ticker.MultipleLocator(10))   # tick_spacing
 
-"""grid = plt.GridSpec(2, 3)
-plot_f = plt.subplot(grid[:, 0])
-plot_c1 = plt.subplot(grid[0, 1])
-plot_c2 = plt.subplot(grid[0, 2])
-plot_c3 = plt.subplot(grid[1, 1])
-plot_stp = plt.subplot(grid[1, 2])
-axs_list = [plot_f, plot_c1, plot_c2, plot_c3, plot_stp]
-for plot, ax in zip(plots, axs_list):
-    for column_name in plot["column_names"]:
-        ax.plot(df[column_name], label=column_name)
-    ax.legend(fontsize=11)
-    ax.set_title(plot["name"], fontsize=13)
-    ax.tick_params(axis='x', labelsize=13)
-    ax.tick_params(axis='y', labelsize=13)
-    ax.xaxis.set_major_locator(ticker.MultipleLocator(4))   # tick_spacing is 4
-    if plot['name'] == 'mass':
-        ax.yaxis.set_major_locator(ticker.MultipleLocator(1))
-plt.tight_layout()
-"""
 plt.show()

shape_optimization/use_cases/10_Multi_Constraint_Optimization_3D_Hook/plot_results.py

@@ -1,4 +1,3 @@
-from matplotlib.ticker import TickHelper
 import pandas as pd
 import matplotlib.pyplot as plt
 import matplotlib.ticker as ticker
@@ -49,24 +48,6 @@
 df = pd.read_csv(path, delimiter=",")
 df.columns = [x.strip() for x in df.columns]
 
-"""
-fig, axs = plt.subplots(1, len(plots), figsize=(18, 6))
-
-for plot, ax in zip(plots, axs):
-    for column_name in plot["column_names"]:
-        ax.plot(df[column_name], label=column_name)
-    ax.legend()
-    ax.set_title(plot["name"])
-
-
-fig, axs = plt.subplots(2, 3)
-axs_list = [axs[0][0], axs[0][1], axs[0][2], axs[1][0], axs[1][1]]
-for plot, ax in zip(plots, axs_list):
-    for column_name in plot["column_names"]:
-        ax.plot(df[column_name], label=column_name)
-    ax.legend()
-    ax.set_title(plot["name"])"""
-
 grid = plt.GridSpec(2, 3)
 plot_f = plt.subplot(grid[:, 0])
 plot_c1 = plt.subplot(grid[0, 1])