adding new aesthetic changes and preparing for birdweather changes

2021-11-29 11:00:17 -05:00
parent a108e0f4f9
commit 1b247fbddd
14 changed files with 478 additions and 94 deletions
@@ -0,0 +1,62 @@
+#!/home/pi/BirdNET-Pi/birdnet/bin/python3
+import pandas as pd
+import seaborn as sns
+# import numpy as np
+import matplotlib.pyplot as plt
+from datetime import datetime
+import textwrap
+
+#Read database into Pandas dataframe
+df = pd.read_csv('~/BirdNET-Pi/BirdDB.txt', sep=';')
+
+#Convert Date and Time Fields to Panda's format
+df['Date']=pd.to_datetime(df['Date'])
+df['Time']=pd.to_datetime(df['Time'])
+
+
+#Create separate dataframes for separate locations
+df_clt=df[df.Lat == 35.0]
+
+now = datetime.now()
+df_clt_today = df_clt[df_clt['Date']==now.strftime("%d-%m-%y")]
+
+#Get top 10 today
+clt_top10_today=(df_clt_today['Com_Name'].value_counts()[:10])
+df_clt_top10_today = df_clt_today[df_clt_today.Com_Name.isin(clt_top10_today.index)]
+
+pal = "Greens"
+
+#Set up plot axes and titles
+plot=sns.countplot(y='Com_Name', data = df_clt_top10_today, order = pd.value_counts(df_clt_top10_today['Com_Name']).iloc[:10].index)
+plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(),15)) for ticklabel in plot.get_yticklabels()])
+plot.set_title('Top 10 Today --'+ str(now.strftime(" Last updated %B %d, %Y %I:%M%P")))
+plot.set_xlabel("Detections", fontsize = 12)
+plot.set_ylabel("", fontsize = 12)
+plt.tight_layout()
+
+#Save plot
+savename='/home/pi/BirdSongs/Extracted/Top_10_Today-'+str(now.strftime("%d-%m-%Y"))+'.png'
+plt.savefig(savename)
+plt.clf()
+
+#Generate heatmap plot
+df_clt_top10_today['Hour'] = [r.hour for r in df_clt_top10_today.Time]
+heat = pd.crosstab(df_clt_top10_today['Com_Name'],df_clt_top10_today['Hour'])
+
+
+
+plot = sns.heatmap(heat, annot=True, annot_kws={"fontsize":7}, cmap = "gray_r", square = False, cbar=False, linewidths = 0)
+plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(),15)) for ticklabel in plot.get_yticklabels()])
+plot.set_title('Phenology --'+ str(now.strftime(" Last updated %B %d, %Y %I:%M%P")))
+plot.set_xlabel("Hour (24h)", fontsize = 12)
+plot.set_ylabel("", fontsize = 12)
+plt.tight_layout()
+
+#Save plot
+savename='/home/pi/BirdSongs/Extracted/When_today-'+str(now.strftime("%d-%m-%Y"))+'.png'
+plt.savefig(savename)
+
+plt.clf()
+
+
+