from matplotlib import gridspec import math import matplotlib import nanopores as nano import nanopores.geometries.pughpore as pughpore import matplotlib.pyplot as plt from matplotlib.ticker import FormatStrFormatter import numpy as np import os import sys import nanopores.tools.fields as f HOME = os.path.expanduser("~") PAPERDIR = os.path.join(HOME, "papers", "paper-howorka") FIGDIR = os.path.join(PAPERDIR, "figures", "") DATADIR = os.path.join(HOME, "Dropbox", "nanopores", "fields") f.set_dir_mega() number = False geop = nano.Params(pughpore.params) hpore = geop.hpore fieldsname = 'events3_onlyone_5' params = dict(avgbind1=2e7, avgbind2=3e4, P_bind1=8.e-2, P_bind2=0 * 3e-1, z0=hpore / 2. + 0.) #cmap=matplotlib.cm.get_cmap('viridis') data = f.get_fields(fieldsname, **params) figname = fieldsname + '_%.1e_%.1e_%.1e_%.1e' % (
# (c) 2016 Gregor Mitscha-Baude import os HOME = os.path.expanduser("~") #PAPERDIR = os.path.join(HOME, "papers", "paper-howorka") #FIGDIR = os.path.join(PAPERDIR, "figures", "") FIGDIR = os.path.join(HOME, "Dropbox", "nanopores", "figures") FIGDIR_HOWORKA = os.path.join(HOME, "Dropbox", "Paper Howorka", "figures") #DATADIR = os.path.join(HOME, "Dropbox", "nanopores", "fields") import nanopores.tools.fields as fields fields.set_dir_mega() #fields.set_dir(DATADIR)