extract hour from timestamp with python
<p>I have a dataframe  df_energy2</p>

<pre><code>df_energy2.info()
&lt;class 'pandas.core.frame.DataFrame'&gt;
RangeIndex: 29974 entries, 0 to 29973
Data columns (total 4 columns):
TIMESTAMP        29974 non-null datetime64[ns]
P_ACT_KW         29974 non-null int64
PERIODE_TARIF    29974 non-null object
P_SOUSCR         29974 non-null int64
dtypes: datetime64[ns](1), int64(2), object(1)
memory usage: 936.8+ KB
</code></pre>

<p>with this structure :</p>

<pre><code>df_energy2.head()

TIMESTAMP P_ACT_KW PERIODE_TARIF P_SOUSCR
2016-01-01 00:00:00 116 HC 250 
2016-01-01 00:10:00 121 HC 250
</code></pre>

<p>Is there any python fucntion which can extract hour from <code>TIMESTAMP</code>?</p>

<p>Kind regards</p>

<p>I think you need <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.dt.hour.html" rel="nofollow"><code>dt.hour</code></a>:</p>

<pre><code>print (df.TIMESTAMP.dt.hour)
0    0
1    0
Name: TIMESTAMP, dtype: int64

df['hours'] = df.TIMESTAMP.dt.hour
print (df)
            TIMESTAMP  P_ACT_KW PERIODE_TARIF  P_SOUSCR  hours
0 2016-01-01 00:00:00       116            HC       250      0
1 2016-01-01 00:10:00       121            HC       250      0
</code></pre>

python datetime pandas extract hour