plots for larger event samples

mapping/plot_matplotlib.py

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+
+import pandas as pd 
+import numpy as np 
+import csv 
+import array as arr 
+import matplotlib.pyplot as plt 
+import matplotlib.colors 
+
+
+#open csv 
+
+df = pd.read_csv('FTF_SP_output.csv', skiprows=0)
+array = df.to_numpy()
+
+FTF_id= array[:,0]
+z = array[:,1]
+r =array[:,2]
+eta_mod =array[:,3]
+
+
+
+# cm = plt.cm.get_cmap('gist_rainbow') #eta mod 
+# cm = plt.cm.get_cmap('spring') #ftf 
+
+cm = matplotlib.colors.LinearSegmentedColormap.from_list("", ["mediumvioletred","palevioletred","thistle","lavender","lightsteelblue","cornflowerblue"]) 
+
+sc = plt.scatter(z,r,c=FTF_id, cmap=cm, marker = '.', s = 2) 
+plt.colorbar(sc)
+plt.xlabel('z')
+plt.ylabel('r')
+plt.title("Space points in terms of FTF Layer id")
+plt.show() 
+plt.savefig('./mapping/FTF_spacepoints_plt.pdf')
+
+
+# #modules 
+# df = pd.read_csv('mapping/Module_plot.csv', skiprows=1)
+# array = df.to_numpy()
+
+# ACTS_vol= array[:,0]
+# z = array[:,3]
+# r =array[:,4]
+# FTF_id =array[:,5]
+
+
+# # cm = plt.cm.get_cmap('cool') #acts 
+# cm = matplotlib.colors.LinearSegmentedColormap.from_list("", ["mediumvioletred","palevioletred","thistle","lavender","lightsteelblue","cornflowerblue"]) 
+# # cm = plt.cm.get_cmap('spring') #ftf 
+# sc = plt.scatter(z,r,c=FTF_id, cmap=cm, marker = '.', s = 2) 
+# plt.colorbar(sc)
+# plt.clim(70,98)
+# plt.xlabel('z')
+# plt.ylabel('r')
+# plt.xlim(-3000,3000)
+# plt.ylim(0,350)
+# plt.title("Pixel geometry in terms of FTF Layer id")
+# plt.show() 
+# plt.savefig('./mapping/modules_FTF_plt.pdf')