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fixed timing and added some css

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This commit is contained in:
mcguirepr89
2022-03-17 13:55:18 -04:00
parent ba87759d7d
commit 3b71c59bdb
1 changed files with 14 additions and 10 deletions
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scripts/plotly_streamlit.py
+14 -10
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@@ -1,7 +1,6 @@
#!/home/pi/BirdNET-Pi/birdnet/bin/python3
import streamlit as st
import pandas as pd
import plotly.express as px
import numpy as np
import plotly.graph_objects as go
from plotly.subplots import make_subplots
@@ -40,7 +39,9 @@ Specie_Count=df2['Com_Name'].value_counts()
#Create species treemap
# Create Hourly Crosstab
hourly=pd.crosstab(df2['Com_Name'],df2.index.hour)
hourly=pd.crosstab(df2['Com_Name'],df2.index.hour, dropna=False)
# Filter on species
species = list(hourly.index)
@@ -48,7 +49,7 @@ species = list(hourly.index)
top_N = st.sidebar.select_slider(
'Select Number of Birds to Show',
list(range(1,len(Specie_Count))),
value=(10))
value=min(10,len(Specie_Count)-1))
top_N_species = (df2['Com_Name'].value_counts()[:top_N])
@@ -67,11 +68,11 @@ df_counts=df2[filt].resample('D').count()
fig = make_subplots(
rows=2, cols =2,
specs= [[{"type":"xy","rowspan":2}, {"type":"polar"}], [None, {"type":"xy"}]],
subplot_titles=('<b>Species in Date Range</b>',
'<b>'+specie+'</b>'
'<br>Total Detections:'+str('{:,}'.format(sum(df_counts.Time)))+
'<br>''Max Confidence:'+str('{:.2f}%'.format(max(df2[df2['Com_Name']==specie]['Confidence'])*100))+
'<br>''Median Confidence:'+str('{:.2f}%'.format(np.median(df2[df2['Com_Name']==specie]['Confidence'])*100))
subplot_titles=('<b style="font-size:x-large;">Species in Date Range</b>',
'<b style="font-size:large;">'+specie+'</b><br>'
'<span style="font-size:medium;">Total Detections:'+str('{:,}'.format(sum(df_counts.Time)))+'<br>'
'Max Confidence:'+str('{:.2f}%'.format(max(df2[df2['Com_Name']==specie]['Confidence'])*100))+'<br>'
'Median Confidence:'+str('{:.2f}%'.format(np.median(df2[df2['Com_Name']==specie]['Confidence'])*100))+'</span>'
)
)
@@ -87,7 +88,10 @@ fig.update_layout(
# Set 360 degrees, 24 hours for polar plot
theta = np.linspace(0.0, 360, 24, endpoint=False)
fig.add_trace(go.Barpolar(r = hourly.loc[specie], theta=theta), row=1, col=2)
d=pd.DataFrame(np.zeros((23,1))).squeeze()
radius = hourly.loc[specie]
radius=(d+radius).fillna(0)
fig.add_trace(go.Barpolar(r = radius, theta=theta), row=1, col=2)
fig.update_layout(
autosize=True,
@@ -110,7 +114,7 @@ fig.update_layout(
),
)
fig.layout.annotations[1].update(x=0.8,y=0.4, font_size=25)
fig.layout.annotations[1].update(x=0.775,y=0.4, font_size=25)
x=df_counts.index
y=df_counts['Com_Name']