raab/GP2023_chirp_detection
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

adding final behaviour plot

Browse Source
This commit is contained in:
wendtalexander 2023-01-26 10:09:59 +01:00
parent c28c227291
commit 21fb19c174
2 changed files with 8 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
code/plot_chirp_size.py
View File

@ -253,7 +253,8 @@ def main(datapath: str):
fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=( fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(
21*ps.cm, 10*ps.cm), width_ratios=[1, 0.8, 0.8], sharey=True) 21*ps.cm, 10*ps.cm), width_ratios=[1, 0.8, 0.8], sharey=True)
plt.subplots_adjust(left=0.11, right=0.948, top=0.905, wspace=0.343, bottom=0.145) plt.subplots_adjust(left=0.11, right=0.948, top=0.905,
wspace=0.343, bottom=0.145)
scatterwinner = 1.15 scatterwinner = 1.15
scatterloser = 1.85 scatterloser = 1.85
chirps_winner = np.asarray(chirps_winner)[~np.isnan(chirps_winner)] chirps_winner = np.asarray(chirps_winner)[~np.isnan(chirps_winner)]
@ -273,13 +274,12 @@ def main(datapath: str):
scatterloser, chirps_loser, color=ps.orange) scatterloser, chirps_loser, color=ps.orange)
ax1.set_xticklabels(['winner', 'loser']) ax1.set_xticklabels(['winner', 'loser'])
ax1.text(1, 2000, f'{len(chirps_winner)}', color='gray') ax1.text(0.1, 0.95, f'n={len(chirps_winner)}', transform=ax1.transAxes, color=ps.white)
ax1.text(1.8, 2000, f'{len(chirps_loser)}', color='gray')
for w, l in zip(chirps_winner, chirps_loser): for w, l in zip(chirps_winner, chirps_loser):
ax1.plot([scatterwinner, scatterloser], [w, l], ax1.plot([scatterwinner, scatterloser], [w, l],
color=ps.white, alpha=1, linewidth=0.5) color=ps.white, alpha=1, linewidth=0.5)
ax1.set_ylabel('chirpcount', color=ps.white) ax1.set_ylabel('chirpcounts', color=ps.white)
ax1.set_xlabel('outcome', color=ps.white) ax1.set_xlabel('outcome', color=ps.white)
colors1 = ps.red colors1 = ps.red
@ -291,8 +291,8 @@ def main(datapath: str):
color=ps.red, label=f'winner') color=ps.red, label=f'winner')
ax2.scatter(size_diffs_loser, size_chirps_loser, ax2.scatter(size_diffs_loser, size_chirps_loser,
color=ps.orange, label='loser') color=ps.orange, label='loser')
ax2.text(-1, 2000, f'{len(size_chirps_winner)}', color= 'gray')
ax2.text(1, 2000, f'{len(size_chirps_loser)}', color= 'gray') ax2.text(0.05, 0.95, f'n={len(size_chirps_winner)}', transform=ax2.transAxes, color=ps.white)
ax2.set_xlabel('size difference [cm]') ax2.set_xlabel('size difference [cm]')
# ax2.set_xticks(np.arange(-10, 10.1, 2)) # ax2.set_xticks(np.arange(-10, 10.1, 2))
@ -300,10 +300,9 @@ def main(datapath: str):
ax3.scatter(freq_diffs_higher, freq_chirps_winner, color=ps.red) ax3.scatter(freq_diffs_higher, freq_chirps_winner, color=ps.red)
ax3.scatter(freq_diffs_lower, freq_chirps_loser, color=ps.orange) ax3.scatter(freq_diffs_lower, freq_chirps_loser, color=ps.orange)
ax3.text(600, 2000, f'n = {len(freq_chirps_winner)}', color='gray') ax3.text(0.1, 0.95, f'n={len(freq_chirps_loser)}', transform=ax3.transAxes, color=ps.white)
ax3.text(650, 2000, f'{len(freq_chirps_loser)}', color='gray')
ax3.set_xlabel('absolut frequency [Hz]') ax3.set_xlabel('absolute frequency [Hz]')
handles, labels = ax2.get_legend_handles_labels() 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)
# pearson r # pearson r

BIN
poster/figs/chirps_winner_loser.pdf
View File

Binary file not shown.