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adding history and its needed updates

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removed viewday.php since history will make it redundant
This commit is contained in:
mcguirepr89
2022-02-17 12:12:01 -05:00
parent c0c6d68849
commit db624d5518
9 changed files with 107 additions and 130 deletions
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scripts/daily_plot.py
+7 -23
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@@ -6,7 +6,6 @@ import configparser
import pandas as pd
import seaborn as sns
# import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
from datetime import datetime
@@ -57,7 +56,6 @@ df_plt_top10_today = df_plt_today[df_plt_today.Com_Name.isin(plt_top10_today.ind
pal = "Greens"
#Set up plot axes and titles
# f, axs = plt.subplots(1, 3, figsize = (10, 4), gridspec_kw=dict(width_ratios=[3, 2, 5]))
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)
@@ -80,16 +78,11 @@ plot=sns.countplot(y='Com_Name', data = df_plt_top10_today, palette = colors, o
#Try plot grid lines between bars - problem at the moment plots grid lines on bars - want between bars
# plot.grid(True, axis='y')
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")
# huw=df_plt_top10_today.groupby('Com_Name')['Confidence'].mean()
# plot = sns.boxenplot(x=df_plt_top10_today['Confidence']*100,color='Green', y=df_plt_top10_today['Com_Name'], ax=axs[1],order=freq_order)
# plot.set(xlabel="Confidence", ylabel=None,yticklabels=[])
#Generate crosstab matrix for heatmap plot
@@ -114,14 +107,13 @@ for _, spine in plot.spines.items():
plot.set(ylabel=None)
plot.set(xlabel="Hour of Day")
#Set combined plot layout and titles
# plt.tight_layout()
f.subplots_adjust(top=0.9)
plt.suptitle("Last Updated: "+ str(now.strftime("%d-%m-%Y %H:%M")))
plt.suptitle("Top 10 Last Updated: "+ str(now.strftime("%Y-%m-%d %H:%M")))
#Save combined plot
savename='/home/pi/BirdSongs/Extracted/Charts/Combo-'+str(now.strftime("%d-%m-%Y"))+'.png'
savename='/home/pi/BirdSongs/Extracted/Charts/Combo-'+str(now.strftime("%Y-%m-%d"))+'.png'
plt.savefig(savename)
#plt.show()
plt.show()
plt.close()
@@ -133,9 +125,8 @@ df_plt_Bot10_today = df_plt_today[df_plt_today.Com_Name.isin(plt_Bot10_today.ind
pal = "Reds"
#Set up plot axes and titles
# f, axs = plt.subplots(1, 3, figsize = (10, 4), gridspec_kw=dict(width_ratios=[3, 2, 5]))
f, axs = plt.subplots(1, 2, figsize = (10, 4), gridspec_kw=dict(width_ratios=[3, 6]))
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
@@ -156,17 +147,11 @@ plot=sns.countplot(y='Com_Name', data = df_plt_Bot10_today, palette = colors, o
#Try plot grid lines between bars - problem at the moment plots grid lines on bars - want between bars
# plot.grid(True, axis='y')
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")
# huw=df_plt_Bot10_today.groupby('Com_Name')['Confidence'].mean()
# plot = sns.boxenplot(x=df_plt_Bot10_today['Confidence']*100,color='Green', y=df_plt_Bot10_today['Com_Name'], ax=axs[1],order=freq_order)
# plot.set(xlabel="Confidence", ylabel=None,yticklabels=[])
#Generate crosstab matrix for heatmap plot
heat = pd.crosstab(df_plt_Bot10_today['Com_Name'],df_plt_Bot10_today['Hour of Day'])
@@ -190,12 +175,11 @@ for _, spine in plot.spines.items():
plot.set(ylabel=None)
plot.set(xlabel="Hour of Day")
#Set combined plot layout and titles
# plt.tight_layout()
f.subplots_adjust(top=0.9)
plt.suptitle("Last Updated: "+ str(now.strftime("%d-%m-%Y %H:%M")))
plt.suptitle("Bottom 10 Last Updated: "+ str(now.strftime("%Y-%m-%d %H:%M")))
#Save combined plot
savename='/home/pi/BirdSongs/Extracted/Charts/Combo2-'+str(now.strftime("%d-%m-%Y"))+'.png'
savename='/home/pi/BirdSongs/Extracted/Charts/Combo2-'+str(now.strftime("%Y-%m-%d"))+'.png'
plt.savefig(savename)
# plt.show()
plt.show()
plt.close()