355 lines
18 KiB
Python
355 lines
18 KiB
Python
import numpy as np
|
|
import itertools
|
|
import pandas as pd
|
|
import matplotlib.pyplot as plt
|
|
import matplotlib.gridspec as gridspec
|
|
from IPython import embed
|
|
|
|
colors = ['#BA2D22', '#53379B', '#F47F17', '#3673A4', '#AAB71B', '#DC143C', '#1E90FF']
|
|
female_color, male_color = '#e74c3c', '#3498db'
|
|
Wc, Lc = 'darkgreen', '#3673A4'
|
|
|
|
|
|
def plot_rise_vs_chirp_count(trial_summary):
|
|
fig = plt.figure(figsize=(20/2.54, 20/2.54))
|
|
gs = gridspec.GridSpec(2, 2, left=0.1, bottom=0.1, right=0.95, top=0.95, height_ratios=[1, 3], width_ratios=[3, 1])
|
|
ax = fig.add_subplot(gs[1, 0])
|
|
|
|
ax.plot(trial_summary['rises_win'], trial_summary['chirps_win'], 'o', color=Wc, label='winner')
|
|
ax.plot(trial_summary['rises_lose'], trial_summary['chirps_lose'], 'o', color=Lc, label='loster')
|
|
ax.set_xlabel('rises [n]', fontsize=12)
|
|
ax.set_ylabel('chirps [n]', fontsize=12)
|
|
ax.tick_params(labelsize=10)
|
|
|
|
ax_chirps = fig.add_subplot(gs[1, 1], sharey=ax)
|
|
ax_chirps.boxplot([trial_summary['chirps_win'], trial_summary['chirps_lose']], widths = .5, positions = [1, 2])
|
|
ax_chirps.set_xticks([1, 2])
|
|
ax_chirps.set_xticklabels(['Win', 'Lose'])
|
|
plt.setp(ax_chirps.get_yticklabels(), visible=False)
|
|
|
|
ax_rises = fig.add_subplot(gs[0, 0], sharex=ax)
|
|
ax_rises.boxplot([trial_summary['rises_win'], trial_summary['rises_lose']], widths = .5, positions = [1, 2], vert=False)
|
|
ax_rises.set_yticks([1, 2])
|
|
ax_rises.set_yticklabels(['Win', 'Lose'])
|
|
plt.setp(ax_rises.get_xticklabels(), visible=False)
|
|
|
|
|
|
def plot_chirp_rise_count_per_pairing(trial_summary,
|
|
beh_key_win=None, beh_key_lose=None,
|
|
ylabel='y'):
|
|
|
|
mek = ['k', 'None', 'None', 'k']
|
|
markersize = 12
|
|
win_colors = [male_color, male_color, female_color, female_color]
|
|
lose_colors = [male_color, female_color, male_color, female_color]
|
|
|
|
win_count = []
|
|
lose_count = []
|
|
|
|
for win_sex, lose_sex in itertools.product(['m', 'f'], repeat=2):
|
|
win_count.append(trial_summary[beh_key_win][(trial_summary["sex_win"] == win_sex) &
|
|
(trial_summary["sex_lose"] == lose_sex) &
|
|
(trial_summary["draw"] == 0)].to_numpy())
|
|
lose_count.append(trial_summary[beh_key_lose][(trial_summary["sex_win"] == win_sex) &
|
|
(trial_summary["sex_lose"] == lose_sex) &
|
|
(trial_summary["draw"] == 0)].to_numpy())
|
|
|
|
fig = plt.figure(figsize=(20/2.54, 12/2.54))
|
|
gs = gridspec.GridSpec(1, 1, left=0.1, bottom=0.1, right=0.95, top=0.95)
|
|
ax = fig.add_subplot(gs[0, 0])
|
|
ax.boxplot(win_count, positions=np.arange(len(win_count))-0.15, widths= .2, sym='')
|
|
ax.boxplot(lose_count, positions=np.arange(len(lose_count))+0.15, widths= .2, sym='')
|
|
|
|
ax.set_xticks(np.arange(len(win_count)))
|
|
ax.set_xticklabels([u'\u2642\u2642', u'\u2642\u2640', u'\u2640\u2642', u'\u2640\u2640'])
|
|
# ax.set_xticklabels(['mm', 'mf', 'fm', 'ff'])
|
|
y0, y1 = ax.get_ylim()
|
|
for i in range(len(win_count)):
|
|
ax.text(i, y1, f'n={len(win_count[i]):.0f}', fontsize=10, ha='center', va='bottom')
|
|
ax.set_ylim(top = y1*1.1)
|
|
ax.set_ylabel(ylabel, fontsize=12)
|
|
plt.tick_params(labelsize=10)
|
|
|
|
# win_chirps = []
|
|
# lose_chirps = []
|
|
#
|
|
# win_rises = []
|
|
# lose_rises = []
|
|
#
|
|
# for win_sex, lose_sex in itertools.product(['m', 'f'], repeat=2):
|
|
# win_chirps.append(trial_summary['chirps_win'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy())
|
|
# lose_chirps.append(trial_summary['chirps_lose'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy())
|
|
# win_rises.append(trial_summary['rises_win'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy())
|
|
# lose_rises.append(trial_summary['rises_lose'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy())
|
|
#
|
|
#
|
|
# fig = plt.figure(figsize=(20/2.54, 12/2.54))
|
|
# gs = gridspec.GridSpec(1, 1, left=0.1, bottom=0.1, right=0.95, top=0.95)
|
|
# ax = fig.add_subplot(gs[0, 0])
|
|
# ax.boxplot(win_chirps, positions=np.arange(len(win_chirps))-0.15, widths= .2, sym='')
|
|
# ax.boxplot(lose_chirps, positions=np.arange(len(lose_chirps))+0.15, widths= .2, sym='')
|
|
#
|
|
# ax.set_xticks(np.arange(len(win_chirps)))
|
|
# ax.set_xticklabels([u'\u2642\u2642', u'\u2642\u2640', u'\u2640\u2642', u'\u2640\u2640'])
|
|
# # ax.set_xticklabels(['mm', 'mf', 'fm', 'ff'])
|
|
# y0, y1 = ax.get_ylim()
|
|
# for i in range(len(win_chirps)):
|
|
# ax.text(i, y1, f'n={len(win_chirps[i]):.0f}', fontsize=10, ha='center', va='bottom')
|
|
# ax.set_ylim(top = y1*1.1)
|
|
# ax.set_ylabel('chirps [n]', fontsize=12)
|
|
# plt.tick_params(labelsize=10)
|
|
#
|
|
# fig = plt.figure(figsize=(20/2.54, 12/2.54))
|
|
# gs = gridspec.GridSpec(1, 1, left=0.1, bottom=0.1, right=0.95, top=0.95)
|
|
# ax = fig.add_subplot(gs[0, 0])
|
|
# ax.boxplot(win_rises, positions=np.arange(len(win_rises))-0.15, widths= .2, sym='')
|
|
# ax.boxplot(lose_rises, positions=np.arange(len(lose_rises))+0.15, widths= .2, sym='')
|
|
#
|
|
# ax.set_xticks(np.arange(len(win_rises)))
|
|
# ax.set_xticklabels([u'\u2642\u2642', u'\u2642\u2640', u'\u2640\u2642', u'\u2640\u2640'])
|
|
# # ax.set_xticklabels(['mm', 'mf', 'fm', 'ff'])
|
|
# y0, y1 = ax.get_ylim()
|
|
# for i in range(len(win_rises)):
|
|
# ax.text(i, y1, f'n={len(win_rises[i]):.0f}', fontsize=10, ha='center', va='bottom')
|
|
# ax.set_ylim(top = y1*1.1)
|
|
# ax.set_ylabel('rises [n]', fontsize=12)
|
|
# plt.tick_params(labelsize=10)
|
|
# # plt.show()
|
|
|
|
|
|
def plot_beh_count_vs_meta(trial_summary,
|
|
beh_key_win=None, beh_key_lose=None,
|
|
meta_key_win=None, meta_key_lose=None,
|
|
xlabel='x'):
|
|
mek = ['k', 'None', 'None', 'k']
|
|
markersize = 12
|
|
win_colors = [male_color, male_color, female_color, female_color]
|
|
lose_colors = [male_color, female_color, male_color, female_color]
|
|
|
|
|
|
win_count = []
|
|
lose_count = []
|
|
|
|
win_meta = []
|
|
lose_meta = []
|
|
|
|
for win_sex, lose_sex in itertools.product(['m', 'f'], repeat=2):
|
|
win_count.append(trial_summary[beh_key_win][(trial_summary["sex_win"] == win_sex) &
|
|
(trial_summary["sex_lose"] == lose_sex) &
|
|
(trial_summary["draw"] == 0)].to_numpy())
|
|
lose_count.append(trial_summary[beh_key_lose][(trial_summary["sex_win"] == win_sex) &
|
|
(trial_summary["sex_lose"] == lose_sex) &
|
|
(trial_summary["draw"] == 0)].to_numpy())
|
|
|
|
win_meta.append(trial_summary[meta_key_win][(trial_summary["sex_win"] == win_sex) &
|
|
(trial_summary["sex_lose"] == lose_sex) &
|
|
(trial_summary["draw"] == 0)].to_numpy())
|
|
lose_meta.append(trial_summary[meta_key_lose][(trial_summary["sex_win"] == win_sex) &
|
|
(trial_summary["sex_lose"] == lose_sex) &
|
|
(trial_summary["draw"] == 0)].to_numpy())
|
|
|
|
fig = plt.figure(figsize=(20/2.54, 20/2.54))
|
|
gs = gridspec.GridSpec(2, 2, left=0.1, bottom=0.1, right=0.95, top=0.95, hspace=0.1, wspace=0.1)
|
|
ax = []
|
|
ax.append(fig.add_subplot(gs[0, 0]))
|
|
ax.append(fig.add_subplot(gs[1, 0], sharex=ax[0]))
|
|
ax.append(fig.add_subplot(gs[0, 1], sharey=ax[0]))
|
|
ax.append(fig.add_subplot(gs[1, 1], sharex=ax[2], sharey=ax[1]))
|
|
|
|
for i in range(len(win_count)):
|
|
ax[0].plot(win_meta[i]-lose_meta[i], win_count[i], 'p', color=win_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2)
|
|
ax[1].plot(win_meta[i]-lose_meta[i], lose_count[i], 'p', color=win_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2)
|
|
|
|
ax[2].plot((win_meta[i]-lose_meta[i])*-1, win_count[i], 'o', color=lose_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2)
|
|
ax[3].plot((win_meta[i]-lose_meta[i])*-1, lose_count[i], 'o', color=lose_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2 )
|
|
|
|
ax[0].set_ylabel(f'{beh_key_win} [n]', fontsize=12)
|
|
ax[1].set_ylabel(f'{beh_key_lose} [n]', fontsize=12)
|
|
ax[1].set_xlabel(f'{xlabel}', fontsize=12)
|
|
ax[3].set_xlabel(f'{xlabel}', fontsize=12)
|
|
|
|
plt.setp(ax[0].get_xticklabels(), visible=False)
|
|
plt.setp(ax[2].get_xticklabels(), visible=False)
|
|
|
|
plt.setp(ax[2].get_yticklabels(), visible=False)
|
|
plt.setp(ax[3].get_yticklabels(), visible=False)
|
|
plt.tick_params(labelsize=10)
|
|
|
|
###############################################################################################################
|
|
|
|
# win_chirps = []
|
|
# lose_chirps = []
|
|
#
|
|
# win_rises = []
|
|
# lose_rises = []
|
|
#
|
|
# d_size = []
|
|
# d_EODf = []
|
|
#
|
|
# for win_sex, lose_sex in itertools.product(['m', 'f'], repeat=2):
|
|
# win_chirps.append(trial_summary['chirps_win'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy())
|
|
# lose_chirps.append(trial_summary['chirps_lose'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy())
|
|
# win_rises.append(trial_summary['rises_win'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy())
|
|
# lose_rises.append(trial_summary['rises_lose'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy())
|
|
#
|
|
# w_size = trial_summary['size_win'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy()
|
|
# l_size = trial_summary['size_lose'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy()
|
|
#
|
|
# w_EODf = trial_summary['EODf_win'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy()
|
|
# l_EODf = trial_summary['EODf_lose'][(trial_summary["sex_win"] == win_sex) &
|
|
# (trial_summary["sex_lose"] == lose_sex) &
|
|
# (trial_summary["draw"] == 0)].to_numpy()
|
|
#
|
|
# d_size.append(w_size-l_size)
|
|
# d_EODf.append(w_EODf-l_EODf)
|
|
#
|
|
#
|
|
# mek = ['k', 'None', 'None', 'k']
|
|
# markersize = 12
|
|
# win_colors = [male_color, male_color, female_color, female_color]
|
|
# lose_colors = [male_color, female_color, male_color, female_color]
|
|
#
|
|
# ### SIZE
|
|
# ##################################################################################################################
|
|
# fig = plt.figure(figsize=(20/2.54, 20/2.54))
|
|
# gs = gridspec.GridSpec(2, 2, left=0.1, bottom=0.1, right=0.95, top=0.95, hspace=0.1, wspace=0.1)
|
|
# ax = []
|
|
# ax.append(fig.add_subplot(gs[0, 0]))
|
|
# ax.append(fig.add_subplot(gs[1, 0], sharex=ax[0]))
|
|
# ax.append(fig.add_subplot(gs[0, 1], sharey=ax[0]))
|
|
# ax.append(fig.add_subplot(gs[1, 1], sharex=ax[2], sharey=ax[1]))
|
|
#
|
|
# for i in range(len(lose_chirps)):
|
|
# ax[0].plot(d_size[i], win_rises[i], 'p', color=win_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2)
|
|
# ax[1].plot(d_size[i], lose_rises[i], 'p', color=win_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2)
|
|
#
|
|
# ax[2].plot(d_size[i], win_rises[i], 'o', color=lose_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2)
|
|
# ax[3].plot(d_size[i], lose_rises[i], 'o', color=lose_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2 )
|
|
#
|
|
# ax[0].set_ylabel('win rises [n]', fontsize=12)
|
|
# ax[1].set_ylabel('lose rises [n]', fontsize=12)
|
|
# ax[1].set_xlabel(u'$\Delta$size [cm]', fontsize=12)
|
|
# ax[3].set_xlabel(u'$\Delta$size [cm]', fontsize=12)
|
|
#
|
|
# plt.setp(ax[0].get_xticklabels(), visible=False)
|
|
# plt.setp(ax[2].get_xticklabels(), visible=False)
|
|
#
|
|
# plt.setp(ax[2].get_yticklabels(), visible=False)
|
|
# plt.setp(ax[3].get_yticklabels(), visible=False)
|
|
# plt.tick_params(labelsize=10)
|
|
#
|
|
# ##################################################################################################################
|
|
# fig = plt.figure(figsize=(20/2.54, 20/2.54))
|
|
# gs = gridspec.GridSpec(2, 2, left=0.1, bottom=0.1, right=0.95, top=0.95, hspace=0.1, wspace=0.1)
|
|
# ax = []
|
|
# ax.append(fig.add_subplot(gs[0, 0]))
|
|
# ax.append(fig.add_subplot(gs[1, 0], sharex=ax[0]))
|
|
# ax.append(fig.add_subplot(gs[0, 1], sharey=ax[0]))
|
|
# ax.append(fig.add_subplot(gs[1, 1], sharex=ax[2], sharey=ax[1]))
|
|
#
|
|
# for i in range(len(lose_chirps)):
|
|
# ax[0].plot(d_size[i], win_chirps[i], 'p', color=win_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2)
|
|
# ax[1].plot(d_size[i], lose_chirps[i], 'p', color=win_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2)
|
|
#
|
|
# ax[2].plot(d_size[i], win_chirps[i], 'o', color=lose_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2)
|
|
# ax[3].plot(d_size[i], lose_chirps[i], 'o', color=lose_colors[i], markeredgecolor=mek[i], markersize=markersize, markeredgewidth=2 )
|
|
#
|
|
# ax[0].set_ylabel('win chirps [n]', fontsize=12)
|
|
# ax[1].set_ylabel('lose chirps [n]', fontsize=12)
|
|
# ax[1].set_xlabel(u'$\Delta$size [cm]', fontsize=12)
|
|
# ax[3].set_xlabel(u'$\Delta$size [cm]', fontsize=12)
|
|
#
|
|
# plt.setp(ax[0].get_xticklabels(), visible=False)
|
|
# plt.setp(ax[2].get_xticklabels(), visible=False)
|
|
#
|
|
# plt.setp(ax[2].get_yticklabels(), visible=False)
|
|
# plt.setp(ax[3].get_yticklabels(), visible=False)
|
|
# plt.tick_params(labelsize=10)
|
|
#
|
|
# ### EODf
|
|
# ##################################################################################################################
|
|
#
|
|
# fig = plt.figure(figsize=(20/2.54, 12/2.54))
|
|
# gs = gridspec.GridSpec(1, 1, left=0.1, bottom=0.15, right=0.95, top=0.95)
|
|
# ax = fig.add_subplot(gs[0, 0])
|
|
#
|
|
# for i in range(len(lose_rises)):
|
|
# ax.plot(d_EODf[i], lose_rises[i], 'p', color=win_colors[i], markeredgecolor=mek[i], markersize=markersize)
|
|
# # ax.plot(d_EODf[i]*-1, lose_rises[i], 'o', color=lose_colors[i], markeredgecolor=mek[i], markersize=markersize)
|
|
#
|
|
# ax.set_ylabel('lose rises [n]', fontsize=12)
|
|
# ax.set_xlabel(u'$\Delta$EODf [Hz]', fontsize=12)
|
|
# plt.tick_params(labelsize=10)
|
|
#
|
|
# ##################################################################################################################
|
|
# fig = plt.figure(figsize=(20/2.54, 12/2.54))
|
|
# gs = gridspec.GridSpec(1, 1, left=0.1, bottom=0.15, right=0.95, top=0.95)
|
|
# ax = fig.add_subplot(gs[0, 0])
|
|
#
|
|
# for i in range(len(lose_chirps)):
|
|
# ax.plot(d_EODf[i], lose_chirps[i], 'p', color=win_colors[i], markeredgecolor=mek[i], markersize=markersize)
|
|
# # ax.plot(d_EODf[i]*-1, lose_chirps[i], 'o', color=lose_colors[i], markeredgecolor=mek[i], markersize=markersize)
|
|
#
|
|
# ax.set_ylabel('lose chirps [n]', fontsize=12)
|
|
# ax.set_xlabel(u'$\Delta$EODf [Hz]', fontsize=12)
|
|
# plt.tick_params(labelsize=10)
|
|
def main():
|
|
trial_summary = pd.read_csv('trial_summary.csv', index_col=0)
|
|
chirp_notes = pd.read_csv('chirp_notes.csv', index_col=0)
|
|
# trial_summary = trial_summary[chirp_notes['good'] == 1]
|
|
|
|
plot_rise_vs_chirp_count(trial_summary)
|
|
|
|
plot_chirp_rise_count_per_pairing(trial_summary,
|
|
beh_key_win='chirps_win', beh_key_lose='chirps_lose',
|
|
ylabel='chirps [n]')
|
|
plot_chirp_rise_count_per_pairing(trial_summary,
|
|
beh_key_win='rises_win', beh_key_lose='rises_lose',
|
|
ylabel='rises [n]')
|
|
|
|
|
|
plot_beh_count_vs_meta(trial_summary,
|
|
beh_key_win='chirps_win', beh_key_lose='chirps_lose',
|
|
meta_key_win="size_win", meta_key_lose='size_lose',
|
|
xlabel=u'$\Delta$size [cm]')
|
|
plot_beh_count_vs_meta(trial_summary,
|
|
beh_key_win='rises_win', beh_key_lose='rises_lose',
|
|
meta_key_win="size_win", meta_key_lose='size_lose',
|
|
xlabel=u'$\Delta$size [cm]')
|
|
plot_beh_count_vs_meta(trial_summary,
|
|
beh_key_win='chirps_win', beh_key_lose='chirps_lose',
|
|
meta_key_win="EODf_win", meta_key_lose='EODf_lose',
|
|
xlabel=u'$\Delta$EODf [Hz]')
|
|
plot_beh_count_vs_meta(trial_summary,
|
|
beh_key_win='rises_win', beh_key_lose='rises_lose',
|
|
meta_key_win="EODf_win", meta_key_lose='EODf_lose',
|
|
xlabel=u'$\Delta$EODf [Hz]')
|
|
|
|
plt.show()
|
|
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main() |