# top row
#
ax = subplot(N_PLOTS, N_COLS, i+1)
- plot(g[:sample_nevals[i]+1], '.-')
+ plot(g[:sample_nevals[i]+1], '.-k')
yticks(range(0, 128, 25))
ylim((0, 120))
# bottom row
#
ax = subplot(N_PLOTS, N_COLS, N_COLS+i+1)
- plot(1e-3*r[:sample_nevals[i]+1], '.-')
+ plot(1e-3*r[:sample_nevals[i]+1], '.-k')
hlines(0, -1, 15, linewidth=0.5, color='0.40')
ax.set_xticks(range(0, 15, 4))
#
ax = subplot(N_PLOTS, N_COLS, i+1)
data = sample_cv[i]
- hist(data, bins=range(128), align='left')
+ hist(data, bins=range(128),
+ align='left',
+ facecolor='0.60',
+ edgecolor='0.00')
#xlim((0, 127))
xlabels = range(data.min(), data.max()+1)
vout = data['vout']
plot(vd, vout,
- '.',
+ '.k',
label='%i'%ios)
hlines(0, -10, 10, linewidth=0.5, color='0.40')
vout = data['vout']
plot(vd, tint,
- '.',
+ '.k',
label='integration time')
hlines(0, -10, 10, linewidth=0.5, color='0.40')