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GEP475GROUPINEEDANAP

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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>
Image in a Jupyter notebook
#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