Patrick McGuire
63 lines
2.0 KiB
Python
Executable File
63 lines
2.0 KiB
Python
Executable File
#!/home/pi/BirdNET-Pi/birdnet/bin/python3
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import pandas as pd
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import seaborn as sns
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# import numpy as np
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import matplotlib.pyplot as plt
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from datetime import datetime
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import textwrap
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#Read database into Pandas dataframe
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df = pd.read_csv('~/BirdNET-Pi/BirdDB.txt', sep=';')
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#Convert Date and Time Fields to Panda's format
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df['Date']=pd.to_datetime(df['Date'])
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df['Time']=pd.to_datetime(df['Time'])
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#Create separate dataframes for separate locations
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df_clt=df[df.Lat == 35.0]
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now = datetime.now()
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df_clt_today = df_clt[df_clt['Date']==now.strftime("%d-%m-%y")]
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#Get top 10 today
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clt_top10_today=(df_clt_today['Com_Name'].value_counts()[:10])
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df_clt_top10_today = df_clt_today[df_clt_today.Com_Name.isin(clt_top10_today.index)]
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pal = "Greens"
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#Set up plot axes and titles
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plot=sns.countplot(y='Com_Name', data = df_clt_top10_today, order = pd.value_counts(df_clt_top10_today['Com_Name']).iloc[:10].index)
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plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(),15)) for ticklabel in plot.get_yticklabels()])
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plot.set_title('Top 10 Today --'+ str(now.strftime(" Last updated %B %d, %Y %I:%M%P")))
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plot.set_xlabel("Detections", fontsize = 12)
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plot.set_ylabel("", fontsize = 12)
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plt.tight_layout()
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#Save plot
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savename='/home/pi/BirdSongs/Extracted/Top_10_Today-'+str(now.strftime("%d-%m-%Y"))+'.png'
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plt.savefig(savename)
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plt.clf()
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#Generate heatmap plot
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df_clt_top10_today['Hour'] = [r.hour for r in df_clt_top10_today.Time]
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heat = pd.crosstab(df_clt_top10_today['Com_Name'],df_clt_top10_today['Hour'])
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plot = sns.heatmap(heat, annot=True, annot_kws={"fontsize":7}, cmap = "gray_r", square = False, cbar=False, linewidths = 0)
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plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(),15)) for ticklabel in plot.get_yticklabels()])
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plot.set_title('Phenology --'+ str(now.strftime(" Last updated %B %d, %Y %I:%M%P")))
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plot.set_xlabel("Hour (24h)", fontsize = 12)
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plot.set_ylabel("", fontsize = 12)
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plt.tight_layout()
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#Save plot
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savename='/home/pi/BirdSongs/Extracted/When_today-'+str(now.strftime("%d-%m-%Y"))+'.png'
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plt.savefig(savename)
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plt.clf()
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