import sqlite3 import os import configparser import pandas as pd import seaborn as sns import matplotlib.pyplot as plt from matplotlib.colors import LogNorm from datetime import datetime import textwrap userDir = os.path.expanduser('~') conn = sqlite3.connect(userDir + '/BirdNET-Pi/scripts/birds.db') df = pd.read_sql_query("SELECT * from detections", conn) cursor = conn.cursor() cursor.execute('SELECT * FROM detections WHERE Date = DATE(\'now\', \'localtime\')') table_rows = cursor.fetchall() #df=pd.DataFrame(table_rows) #Convert Date and Time Fields to Panda's format df['Date']=pd.to_datetime(df['Date']) df['Time']=pd.to_datetime(df['Time'], unit='ns') #Add round hours to dataframe df['Hour of Day'] = [r.hour for r in df.Time] #Create separate dataframes for separate locations df_plt=df #Default to use the whole Dbase #Get todays readings now = datetime.now() df_plt_today = df_plt[df_plt['Date']==now.strftime("%Y-%m-%d")] #Set number of species to report readings=10 plt_top10_today = (df_plt_today['Com_Name'].value_counts()[:readings]) df_plt_top10_today = df_plt_today[df_plt_today.Com_Name.isin(plt_top10_today.index)] #Set Palette for graphics pal = "Greens" #Set up plot axes and titles f, axs = plt.subplots(1, 2, figsize = (10, 4), gridspec_kw=dict(width_ratios=[3, 6]), facecolor='#77C487') plt.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=0, hspace=0) #generate y-axis order for all figures based on frequency freq_order = pd.value_counts(df_plt_top10_today['Com_Name']).iloc[:readings].index #make color for max confidence --> this groups by name and calculates max conf confmax = df_plt_top10_today.groupby('Com_Name')['Confidence'].max() #reorder confmax to detection frequency order confmax = confmax.reindex(freq_order) # norm values for color palette norm = plt.Normalize(confmax.values.min(), confmax.values.max()) colors = plt.cm.Greens(norm(confmax)) #Generate frequency plot plot=sns.countplot(y='Com_Name', data = df_plt_top10_today, palette = colors, order=freq_order, ax=axs[0]) #Try plot grid lines between bars - problem at the moment plots grid lines on bars - want between bars z=plot.get_ymajorticklabels() plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(),15)) for ticklabel in plot.get_yticklabels()], fontsize = 10) plot.set(ylabel=None) plot.set(xlabel="Detections") #Generate crosstab matrix for heatmap plot heat = pd.crosstab(df_plt_top10_today['Com_Name'],df_plt_top10_today['Hour of Day']) #Order heatmap Birds by frequency of occurrance heat.index = pd.CategoricalIndex(heat.index, categories = freq_order) heat.sort_index(level=0, inplace=True) hours_in_day = pd.Series(data = range(0,24)) heat_frame = pd.DataFrame(data=0, index=heat.index, columns = hours_in_day) heat=(heat+heat_frame).fillna(0) #Generatie heatmap plot plot = sns.heatmap(heat, norm=LogNorm(), annot=True, annot_kws={"fontsize":7}, fmt="g", cmap = pal , square = False, cbar=False, linewidths = 0.5, linecolor = "Grey", ax=axs[1], yticklabels = False) plot.set_xticklabels(plot.get_xticklabels(), rotation = 0, size = 7) # Set heatmap border for _, spine in plot.spines.items(): spine.set_visible(True) plot.set(ylabel=None) plot.set(xlabel="Hour of Day") #Set combined plot layout and titles f.subplots_adjust(top=0.9) plt.suptitle("Top 10 Last Updated: "+ str(now.strftime("%Y-%m-%d %H:%M"))) #Save combined plot userDir = os.path.expanduser('~') savename=userDir + '/BirdSongs/Extracted/Charts/Combo-'+str(now.strftime("%Y-%m-%d"))+'.png' plt.savefig(savename) plt.show() plt.close() # Get Bottom detection frequency plt_Bot10_today = (df_plt_today['Com_Name'].value_counts()[-readings:]) df_plt_Bot10_today = df_plt_today[df_plt_today.Com_Name.isin(plt_Bot10_today.index)] #Set Palette for graphics pal = "Reds" #Set up plot axes and titles f, axs = plt.subplots(1, 2, figsize = (10, 4), gridspec_kw=dict(width_ratios=[3, 6]), facecolor='#77C487') plt.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=0, hspace=0) #generate y-axis order for all figures based on frequency freq_order = pd.value_counts(df_plt_Bot10_today['Com_Name']).iloc[-readings:].index #make color for max confidence --> this groups by name and calculates max conf confmax = df_plt_Bot10_today.groupby('Com_Name')['Confidence'].max() confmax = confmax.reindex(freq_order) # probably wrong order . . . how to sort by no. of detections ? # norm values for color palette norm = plt.Normalize(confmax.values.min(), confmax.values.max()) colors = plt.cm.Reds(norm(confmax)) #Generate frequency plot plot=sns.countplot(y='Com_Name', data = df_plt_Bot10_today, palette = colors, order=freq_order, ax=axs[0]) #Try plot grid lines between bars - problem at the moment plots grid lines on bars - want between bars z=plot.get_ymajorticklabels() plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(),15)) for ticklabel in plot.get_yticklabels()], fontsize = 10) plot.set(ylabel=None) plot.set(xlabel="Detections") #Generate crosstab matrix for heatmap plot heat = pd.crosstab(df_plt_Bot10_today['Com_Name'],df_plt_Bot10_today['Hour of Day']) #Order heatmap Birds by frequency of occurrance heat.index = pd.CategoricalIndex(heat.index, categories = freq_order) heat.sort_index(level=0, inplace=True) hours_in_day = pd.Series(data = range(0,24)) heat_frame = pd.DataFrame(data=0, index=heat.index, columns = hours_in_day) heat=(heat+heat_frame).fillna(0) #Generatie heatmap plot plot = sns.heatmap(heat, norm=LogNorm(), annot=True, fmt="g", annot_kws={"fontsize":7}, cmap = pal , square = False, cbar=False, linewidths = 0.5, linecolor = "Grey", ax=axs[1], yticklabels = False) plot.set_xticklabels(plot.get_xticklabels(), rotation = 0, size = 7) # Set heatmap border for _, spine in plot.spines.items(): spine.set_visible(True) plot.set(ylabel=None) plot.set(xlabel="Hour of Day") #Set combined plot layout and titles f.subplots_adjust(top=0.9) plt.suptitle("Bottom 10 Last Updated: "+ str(now.strftime("%Y-%m-%d %H:%M"))) #Save combined plot savename=userDir + '/BirdSongs/Extracted/Charts/Combo2-'+str(now.strftime("%Y-%m-%d"))+'.png' plt.savefig(savename) plt.show() plt.close()