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another linting!

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mcguirepr89
2022-05-28 09:54:50 -04:00
parent 8408e7dfdf
commit 3fa0d13ff9
1 changed files with 1 additions and 4 deletions
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scripts/plotly_streamlit.py
+1 -4
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@@ -6,8 +6,6 @@ from numpy import ma
import plotly.graph_objects as go import plotly.graph_objects as go
from plotly.subplots import make_subplots from plotly.subplots import make_subplots
import plotly.io as pio import plotly.io as pio
from datetime import timedelta, datetime
from pathlib import Path
import sqlite3 import sqlite3
from sqlite3 import Connection from sqlite3 import Connection
import plotly.express as px import plotly.express as px
@@ -171,7 +169,7 @@ top_N_species = (df5.value_counts()[:top_N])
font_size = 15 font_size = 15
if daily == False: if daily is False:
specie = st.selectbox( specie = st.selectbox(
'Which bird would you like to explore for the dates ' 'Which bird would you like to explore for the dates '
+ str(start_date) + ' to ' + str(end_date) + '?', + str(start_date) + ' to ' + str(end_date) + '?',
@@ -258,7 +256,6 @@ if daily == False:
# # ' Confidence Max:'+str('{:.2f}%'.format(max(df2[df2['Com_Name']==specie]['Confidence'])*100))+ # # ' 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)) # # ' '+' Median:'+str('{:.2f}%'.format(np.median(df2[df2['Com_Name']==specie]['Confidence'])*100))
# # ) # # )
# )
# fig.add_trace(go.Bar(y=top_N_species.index, x=top_N_species, orientation='h'), row=1,col=1) # fig.add_trace(go.Bar(y=top_N_species.index, x=top_N_species, orientation='h'), row=1,col=1)
df4 = df2['Com_Name'][df2['Com_Name'] == specie].resample('15min').count() df4 = df2['Com_Name'][df2['Com_Name'] == specie].resample('15min').count()