GokulEpiphany

import pandas as pd
import numpy as np
df = pd.read_csv('data_table_exact_count.csv')
df_needed = df.iloc[:,1:]
df_class = df.iloc[:,0]
total_count_per_species= df_needed.sum(axis=1) # row wise
total_predicted_per_species = df_needed.sum(axis=1) # column wise

cumulative_f1 = []
total_correct = []

GokulEpiphany

!/usr/bin/env python
# -*- coding: utf-8 -*-

# Import required libraries, including python-requests and hcsr04.py
import sys, time, requests, json, hcsr04
import RPi.GPIO as GPIO

# Set a default interval of 5 seconds. If the script was run with an argument,
# such as "python ultrasonic_harvest.py 2", use that value instead.
interval=3 if len(sys.argv)==1 else int(sys.argv[1])