raab/GP2023_chirp_detection
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adding poster plots changing colors

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This commit is contained in:
wendtalexander
2023-01-26 12:13:51 +01:00
parent a32d91309f
commit eca7c6cd05
6 changed files with 24 additions and 22 deletions
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11
code/plot_chirp_size.py
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@@ -252,9 +252,9 @@ def main(datapath: str):
size_loser_pearsonr = pearsonr(size_diffs_loser, size_chirps_loser)
fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(
21*ps.cm, 8*ps.cm), width_ratios=[1, 0.8, 0.8], sharey=True)
21*ps.cm, 7*ps.cm), width_ratios=[1, 0.8, 0.8], sharey=True)
plt.subplots_adjust(left=0.11, right=0.948, top=0.86,
wspace=0.343, bottom=0.18)
wspace=0.343, bottom=0.198)
scatterwinner = 1.15
scatterloser = 1.85
chirps_winner = np.asarray(chirps_winner)[~np.isnan(chirps_winner)]
@@ -262,8 +262,8 @@ def main(datapath: str):
stat = wilcoxon(chirps_winner, chirps_loser)
print(stat)
winner_color = ps.lavender
loser_color = ps.purple
winner_color = ps.gblue3
loser_color = ps.gblue1
bplot1 = ax1.boxplot(chirps_winner, positions=[
0.9], showfliers=False, patch_artist=True)
@@ -308,7 +308,8 @@ def main(datapath: str):
ax3.set_xlabel('EODf [Hz]')
handles, labels = ax2.get_legend_handles_labels()
fig.legend(handles, labels, loc='upper center', ncol=2)
fig.legend(handles, labels, loc='upper center',
ncol=2, bbox_to_anchor=(0.5, 1.04))
# pearson r
plt.savefig('../poster/figs/chirps_winner_loser.pdf')
plt.show()

8
code/plot_event_timeline.py
View File

@@ -47,17 +47,17 @@ def main(datapath: str):
# Associate chirps to inidividual fish
fish1 = (bh.chirps[bh.chirps_ids == fish1_id] / 60) / 60
fish2 = (bh.chirps[bh.chirps_ids == fish2_id] / 60) / 60
fish1_color = ps.purple
fish2_color = ps.lavender
fish1_color = ps.gblue1
fish2_color = ps.gblue3
fig, ax = plt.subplots(5, 1, figsize=(
21*ps.cm, 10*ps.cm), height_ratios=[0.5, 0.5, 0.5, 0.2, 6], sharex=True)
# marker size
s = 80
ax[0].scatter(physical_contact, np.ones(
len(physical_contact)), color=ps.maroon, marker='|', s=s)
len(physical_contact)), color=ps.red, marker='|', s=s)
ax[1].scatter(chasing_onset, np.ones(len(chasing_onset)),
color=ps.orange, marker='|', s=s)
color=ps.purple, marker='|', s=s)
ax[2].scatter(fish1, np.ones(len(fish1))-0.25,
color=fish1_color, marker='|', s=s)
ax[2].scatter(fish2, np.zeros(len(fish2))+0.25,