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#!/usr/bin/env python3
# Plots the data from rama_gather.py
import sys
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
def plot(data_file, label, output=None):
x, y = [], []
for line in open(data_file):
phi, psi = line.split()
if phi != 'nan' and psi != 'nan':
x.append(float(phi))
y.append(float(psi))
print('Plotting %d points for %s' % (len(x), label))
plt.figure(figsize=(5.5, 5.5))
plt.title('%s, %d points.' % (label, len(x)), fontsize=12)
plt.xlim([-180, 180])
plt.ylim([-180, 180])
ax = plt.gca()
ax.xaxis.set_major_locator(MultipleLocator(60))
ax.yaxis.set_major_locator(MultipleLocator(60))
plt.xlabel(r'$\phi$', fontsize=14)
plt.ylabel(r'$\psi$', fontsize=14, labelpad=0)
plt.grid(color='#AAAAAA', linestyle='--')
plt.hexbin(x, y, gridsize=2*180, bins='log', cmap='Blues')
if output:
plt.savefig(output, dpi=300) # dpi=70 for small images in docs
else:
plt.show()
for aa in sys.argv[1:]:
plot('ramas/%s.tsv' % aa, aa)
#plot('ramas/%s.tsv' % aa, aa, 'ramas/%s.png' % aa)
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