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[plotstyle] line styles of spines and grid

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This commit is contained in:
Jan Benda 2020-01-09 09:49:27 +01:00
parent 09b9a1a3dd
commit 297c731166
3 changed files with 23 additions and 10 deletions
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26
plotstyle.py
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@ -80,16 +80,18 @@ colors = {
colors_bendalab = {}
colors_bendalab['red'] = '#C02010'
colors_bendalab['orange'] = '#F78010'
colors_bendalab['yellow'] = '#F7E030'
colors_bendalab['green'] = '#97C010'
colors_bendalab['yellow'] = '#F0D730'
colors_bendalab['green'] = '#A0B717'
colors_bendalab['cyan'] = '#40A787'
colors_bendalab['blue'] = '#2050A0'
colors_bendalab['purple'] = '#7040A0'
colors_bendalab['pink'] = '#D72060'
colors_bendalab['blue'] = '#2757A0'
colors_bendalab['purple'] = '#573790'
colors_bendalab['pink'] = '#C72750'
colors_bendalab['grey'] = '#A0A0A0'
colors_bendalab['black'] = '#000000'
""" Vivid colors used by the Benda-lab. """
colors_bendalab_vivid = {}
colors_bendalab_vivid['red'] = '#D01000'
colors_bendalab_vivid['red'] = '#D71000'
colors_bendalab_vivid['orange'] = '#FF9000'
colors_bendalab_vivid['yellow'] = '#FFF700'
colors_bendalab_vivid['green'] = '#30D700'
@ -97,6 +99,8 @@ colors_bendalab_vivid['cyan'] = '#00F0B0'
colors_bendalab_vivid['blue'] = '#0020C0'
colors_bendalab_vivid['purple'] = '#B000B0'
colors_bendalab_vivid['pink'] = '#F00080'
colors_bendalab_vivid['grey'] = '#A7A7A7'
colors_bendalab_vivid['black'] = '#000000'
# colors for the plots of the script:
colors = colors_bendalab_vivid
@ -104,7 +108,10 @@ colors['lightorange'] = colors['yellow']
#colors['yellow'] = lighter(colors['yellow'], 0.65)
colors['yellow'] = '#FFFF55'
# line styles:
# line styles for plot():
lsSpine = {'c': colors['black'], 'linestyle': '-', 'linewidth': 1}
lsGrid = {'c': colors['grey'], 'linestyle': '--', 'linewidth': 1}
# 'B1': prominent line with first color and style from color group 'B'
# 'C2m': minor line with second color and style from color group 'C'
ls = {
@ -354,7 +361,12 @@ def common_format():
mpl.rcParams['ytick.direction'] = 'out'
mpl.rcParams['xtick.major.width'] = 1.25
mpl.rcParams['ytick.major.width'] = 1.25
mpl.rcParams['grid.color'] = lsGrid['c']
mpl.rcParams['grid.linestyle'] = lsGrid['linestyle']
mpl.rcParams['grid.linewidth'] = lsGrid['linewidth']
mpl.rcParams['axes.facecolor'] = 'none'
mpl.rcParams['axes.edgecolor'] = lsSpine['c']
mpl.rcParams['axes.linewidth'] = lsSpine['linewidth']
if 'axes.prop_cycle' in mpl.rcParams:
mpl.rcParams['axes.prop_cycle'] = cycler(color=[colors['blue'], colors['red'],
colors['orange'], colors['green'],

1
pointprocesses/lecture/pointprocesses-chapter.tex
View File

@ -21,6 +21,7 @@
\section{TODO}
\begin{itemize}
\item Explain difference stationary versus non-stationary point process
\item Show different types of ISI histograms (regular, noisy, poisson, bursty, locking)
\item Multitrial firing rates
\item Choice of bin width for PSTH, kernel width, also in relation sto
stimulus time scale

6
pointprocesses/lecture/sta.py
View File

@ -53,8 +53,8 @@ def plot_results(sta_time, st_average, stim_time, s_est, stimulus, duration, dt)
sta_ax.set_yticks(np.arange(-0.1, 0.21, 0.1))
ylim = sta_ax.get_ylim()
xlim = sta_ax.get_xlim()
sta_ax.plot(list(xlim), [0., 0.], zorder=1, color='darkgray', ls='--', lw=1)
sta_ax.plot([0., 0.], list(ylim), zorder=1, color='darkgray', ls='--', lw=1)
sta_ax.plot(list(xlim), [0., 0.], zorder=1, **lsGrid)
sta_ax.plot([0., 0.], list(ylim), zorder=1, **lsGrid)
sta_ax.set_xlim(list(xlim))
sta_ax.set_ylim(list(ylim))
sta_ax.annotate('Time of\nspike',
@ -75,7 +75,7 @@ def plot_results(sta_time, st_average, stim_time, s_est, stimulus, duration, dt)
stim_ax.set_xlim(0.0, 200)
stim_ax.set_ylim([-1., 1.])
stim_ax.legend(loc=(0.3, 0.85), frameon=False)
stim_ax.plot([0.0, 250], [0., 0.], color="darkgray", lw=1, ls='--', zorder=1)
stim_ax.plot([0.0, 250], [0., 0.], zorder=1, **lsGrid)
#stim_ax.text(-0.1, 1.04, "B", transform=stim_ax.transAxes, size=24)
fig.savefig("sta.pdf")