<jupyter_start><jupyter_text>Fetch all the EEF values from Bravo during 2016.<jupyter_code>request.set_collection("SW_OPER_EEFBTMS_2F")
request.set_products(measurements=["EEF"])
data = request.get_between(
    dt.datetime(2016,1,1),
    dt.datetime(2017,1,1)
)
df = data.as_dataframe()
df.head()
ax = df.plot(y="EEF", figsize=(20,10))
ax.set_ylim((-0.002, 0.002));<jupyter_output><empty_output><jupyter_text>Take a look at the time jumps between entries...<jupyter_code>times = df.index
np.unique(np.sort(np.diff(times.to_pydatetime())))[:20]<jupyter_output><empty_output>
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