2017-04-28Fumble.ipynb

Kernel: Python 3 (Anaconda)

import pandas as pd
import numpy as np
column_names = ['Date','PPM/Sec']
netatmo = pd.read_csv('2016Decay.csv', index_col=0, names=column_names)
df = netatmo

df.head()

df.plot()

<matplotlib.axes._subplots.AxesSubplot at 0x7ff4956061d0>

#df.describe()

df = df.replace([np.inf, -np.inf], np.nan)
df.describe()

netatmo2 = pd.read_csv('NetAtmo_2016.csv', index_col=1)
netatmo2.head()

netatmo2['CO2'].tail()

Timezone : America/Los_Angeles
12/31/16 23:35    483.0
12/31/16 23:40    485.0
12/31/16 23:45    489.0
12/31/16 23:50    475.0
12/31/16 23:55    475.0
Name: CO2, dtype: float64