ax[i].set_xlabel(r"distance from soma ($\mu$m)")
else:
ax[i].set_ylabel(r"Ca ($\mu$M)")
ax[i].set_xlabel('Time (ms)')
ax[i].legend(loc=1, frameon=False, handlelength=3)
fname = 'Fig_1'
for i, x in enumerate(ax):
if i != 1 and i != 0:
x.set_ylim([0, m * 1.1])
x.yaxis.set_ticks([0., 0.2, 0.4])
elif i == 0:
x.yaxis.set_ticks([0., 0.03, 0.06])
else:
x.yaxis.set_ticks([0., 0.1, 0.2])
ff.add_title(x, titles[i])
ff.simpleaxis(x)
fig.subplots_adjust(hspace=.55)
#fig.subplots_adjust(wspace=.6)
plt.savefig('Fig_1.png', format='png', bbox_inches='tight', pad_inches=0.1)
plt.savefig('Fig_1.svg', format='svg', bbox_inches='tight', pad_inches=0.1)
plt.savefig('Fig_1.pdf', format='pdf', bbox_inches='tight', pad_inches=0.1)
plt.show()
ax.append(fig.add_subplot(4, 2, 7))
ax.append(fig.add_subplot(4, 2, 8))
for i, fname in enumerate(flist):
f = open(fname)
print fname
header = f.readline().split()
data = np.loadtxt(f)
spines = cw.parse_header(header)
sp = 'spine_1'
dt = data[1, 0] - data[0, 0]
beg_1 = int(beg / dt)
end_1 = int(end / dt)
ax[i].plot(data[:, 0], 1000 * data[:, spines[sp][col]],
'k') #color=colors[i/2])
ff.simpleaxis(ax[i])
#img = im.imread(imlist[i])
#ax_im = inset_axes(ax[i],width="50%",height=.5,loc=2)
#ax_im.imshow(img)
#ax_im.axes.get_xaxis().set_visible(False)
#ax_im.axes.get_yaxis().set_visible(False)
#ax_im.set_frame_on(False)
new_time = np.arange(-100, 250 - dt * 1000, dt * 1000)
ax[i].set_xlim([0, lim])
if (i % 2):
ax[7].plot(new_time,
1000 * data[beg_1:end_1, spines[sp][col]],
color=colors[i / 2],
label=labels[i / 2])