GEP475GROUPINEEDANAP
import numpy as np import pandas as pd
column_names = ['Time','ppm'] year1CO2 = pd.read_csv('Netatmo2016CO2ONLY.csv', parse_dates=True, index_col=0, names=column_names) year1CO2.head()
column_names = ['Time','ppm'] year2CO2= pd.read_csv('Netatmo2017CO2ONLY.csv', parse_dates=True, index_col=0, names=column_names) year2CO2.to_csv('2017CO2ONLY.csv')
year2 = pd.read_csv('2017CO2ONLY.csv', parse_dates=True, index_col=0,) #year2.head()
column_names = ['Time','ppm'] year1CO2= pd.read_csv('Netatmo2016CO2ONLY.csv', parse_dates=True, index_col=0, names=column_names) year1CO2.to_csv('2016CO2ONLY.csv')
year1 = pd.read_csv('2016CO2ONLY.csv', parse_dates=True, index_col=0,) year1.head()
year1.head()
year1.tail()
year2.tail()
year2.head()