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Correcting additional flake8 failures on plotly_streamlit.py

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Corrected:
F401 imported but unused
E501 line too long
This commit is contained in:
Jake Herbst
2022-05-11 08:29:55 -04:00
parent 7ad6bbe93e
commit d707010843
1 changed files with 17 additions and 11 deletions
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scripts/plotly_streamlit.py
+17 -11
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@@ -4,8 +4,7 @@ import pandas as pd
import numpy as np import numpy as np
import plotly.graph_objects as go import plotly.graph_objects as go
from plotly.subplots import make_subplots from plotly.subplots import make_subplots
from datetime import timedelta, datetime from datetime import timedelta
from pathlib import Path
import sqlite3 import sqlite3
from sqlite3 import Connection from sqlite3 import Connection
@@ -93,8 +92,11 @@ top_N = cols1.slider(
top_N_species = (df2['Com_Name'].value_counts()[:top_N]) top_N_species = (df2['Com_Name'].value_counts()[:top_N])
specie = cols2.selectbox('Which bird would you like to explore for the dates ' + str(Date_Slider[0]) + ' to ' + str(Date_Slider[1]) + '?', species, specie = cols2.selectbox(
index=species.index(list(top_N_species.index)[0])) 'Which bird would you like to explore for the dates ' +
str(Date_Slider[0]) + ' to ' + str(Date_Slider[1]) + '?',
species,
index=species.index(list(top_N_species.index)[0]))
font_size = 15 font_size = 15
@@ -109,12 +111,16 @@ fig = make_subplots(
rows=3, cols=2, rows=3, cols=2,
specs=[[{"type": "xy", "rowspan": 3}, {"type": "polar", "rowspan": 2}], [ specs=[[{"type": "xy", "rowspan": 3}, {"type": "polar", "rowspan": 2}], [
{"rowspan": 1}, {"rowspan": 1}], [None, {"type": "xy", "rowspan": 1}]], {"rowspan": 1}, {"rowspan": 1}], [None, {"type": "xy", "rowspan": 1}]],
subplot_titles=('<b>Top ' + str(top_N) + ' Species in Date Range ' + str(Date_Slider[0]) + ' to ' + str(Date_Slider[1]) + '</b>', subplot_titles=(
'Total Detect:' + str('{:,}'.format(sum(df_counts.Time))) + '<b>Top ' + str(top_N) +
' Confidence Max:' + str('{:.2f}%'.format(max(df2[df2['Com_Name'] == specie]['Confidence']) * 100)) + ' Species in Date Range ' + str(Date_Slider[0]) +
' ' + ' Median:' + ' to ' + str(Date_Slider[1]) +
str('{:.2f}%'.format(np.median(df2[df2['Com_Name'] == specie]['Confidence']) * 100)) '</b>',
) 'Total Detect:' + str('{:,}'.format(sum(df_counts.Time))) +
' Confidence Max:' + str('{:.2f}%'.format(max(df2[df2['Com_Name'] == specie]['Confidence']) * 100)) +
' ' + ' Median:' +
str('{:.2f}%'.format(np.median(df2[df2['Com_Name'] == specie]['Confidence']) * 100))
)
) )
fig.layout.annotations[1].update(x=0.7, y=0.25, font_size=15) fig.layout.annotations[1].update(x=0.7, y=0.25, font_size=15)
@@ -170,6 +176,6 @@ st.plotly_chart(fig, use_container_width=True) # , config=config)
# #
# extract_date=Date_Slider # extract_date=Date_Slider
# #
# audio_file = open('/home/*/BirdSongs/Extracted/By_Date/2022-03-22/Yellow-streaked_Greenbul/Yellow-streaked_Greenbul-77-2022-03-22-birdnet-15:04:28.mp3', 'rb') # audio_file = open('/home/*/BirdSongs/Extracted/By_Date/2022-03-22/Yellow-streaked_Greenbul/Yellow-streaked_Greenbul-77-2022-03-22-birdnet-15:04:28.mp3', 'rb') # noqa: E501
# audio_bytes = audio_file.read() # audio_bytes = audio_file.read()
# cols4.audio(audio_bytes, format='audio/mp3') # cols4.audio(audio_bytes, format='audio/mp3')