Marchettibenjamin.files.wordpress.com



%matplotlib inline

from pylab import *

import numpy

from __future__ import division

import matplotlib.pyplot as plt

import matplotlib

from itertools import chain

SMALL_SIZE = 13

MEDIUM_SIZE = 22

BIGGER_SIZE = 40

plt.rc('font', size=BIGGER_SIZE) # controls default text sizes

plt.rc('axes', titlesize=BIGGER_SIZE) # fontsize of the axes title

plt.rc('axes', labelsize=BIGGER_SIZE) # fontsize of the x and y labels

plt.rc('xtick', labelsize=BIGGER_SIZE) # fontsize of the tick labels

plt.rc('ytick', labelsize=BIGGER_SIZE) # fontsize of the tick labels

plt.rc('legend', fontsize=MEDIUM_SIZE) # legend fontsize

#plt.rc('figure', titlesize=BIGGER_SIZE) # fontsize of the figure title

#Latex

plt.rc('text', usetex=True)

plt.rc('font', family='serif')

symbolsize=200

aa=loadtxt('Data.txt')

T=aa[:,0]

P=aa[:,1] #en hPa

time=aa[:,2] #en seconde

fig1 =plt.figure(figsize=(10,10))

scatter(1/(T+273.15),log(P),marker='o',s=symbolsize,alpha=0.2,zorder=0)

plot([0.002,0.003],[0.002*(-4789.751)+19.783,0.003*(-4789.751)+19.783],'k-',linewidth=3,zorder=1)

text(0.00275,6.8,'$y=-4780.7x+19.8$',size=32)

xlabel(r'$1/T$')

ylabel(r'$\ln(P)$')

xlim(0.00265,0.0029)

ylim(5.8,7)

xticks(np.arange(0.00265, 0.0031, 0.0001));

yticks(np.arange(5.8, 7.1, 0.25));

fig1.tight_layout()

savefig('1_plot.pdf',dpi=300)

................
................

In order to avoid copyright disputes, this page is only a partial summary.

Google Online Preview   Download