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August 29, 2015 14:24
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RDF & CN analysis from GMX
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import numpy as np | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
############### | |
def get_RDF(filename='1'): | |
rdf=pd.read_csv(filename+'/rdf.xvg', header=None, delim_whitespace=True,skiprows=14) | |
cn=pd.read_csv(filename+'/rdf_cn.xvg', header=None, delim_whitespace=True,skiprows=14) | |
rdf.columns=['R','RDF'] | |
cn.columns=['R','CN'] | |
fig, ax1 = plt.subplots() | |
plt.title(filename) | |
ax1.fill_between(rdf.R*10,rdf.RDF,alpha=0.8,color='r') | |
ax2=ax1.twinx() | |
ax2.axhline(y=6) | |
ax2.plot(cn.R*10,cn.CN,'k--') | |
ax2.set_ylim(1,10) | |
ax1.set_xlim(1.5,3.0) | |
return(fig) | |
################# | |
dfR=pd.read_csv("rdf.xvg", header=None, delim_whitespace=True,skiprows=14) | |
dfCN=pd.read_csv("rdf_cn.xvg", header=None, delim_whitespace=True,skiprows=14) | |
dfR.columns=['Dist','RDF'] | |
dfCN.columns=['Dist','CN'] | |
fig, ax1 = plt.subplots() | |
ax1.plot(dfR.Dist,dfR.RDF,'r-') | |
ax2 = ax1.twinx() | |
ax2.plot(dfCN.Dist,dfCN.CN,'b--') | |
ax2.set_xlim(0.1,0.3) | |
ax1.set_xlim(0.1,0.3) | |
ax2.set_ylim(0,7) | |
plt.show() | |
dfR.sort(['RDF'])[-1:] |
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