from unix timestamp to datetime pandas

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showing results for - "from unix timestamp to datetime pandas"
Melvin
13 Apr 2016
1In [23]: df.head()
2Out[23]: 
3         date  price
40  1349720105  12.08
51  1349806505  12.35
62  1349892905  12.15
73  1349979305  12.19
84  1350065705  12.15
9In [25]: df['date'] = pd.to_datetime(df['date'],unit='s')
10
11In [26]: df.head()
12Out[26]: 
13                 date  price
140 2012-10-08 18:15:05  12.08
151 2012-10-09 18:15:05  12.35
162 2012-10-10 18:15:05  12.15
173 2012-10-11 18:15:05  12.19
184 2012-10-12 18:15:05  12.15
19
20In [27]: df.dtypes
21Out[27]: 
22date     datetime64[ns]
23price           float64
24dtype: object
25
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Mariangel
08 Oct 2019
1dates = pd.to_datetime(['2019-01-15 13:30:00'])
2(dates - pd.Timestamp("1970-01-01")) // pd.Timedelta('1s')  
3# Int64Index([1547559000], dtype='int64')
source
Giacomo
23 Nov 2020
1# convert unix timestamp to datetime UTC
2df['datetime'] = df['_ts'].map(lambda x: pendulum.from_timestamp(x)) 
3df = df.set_index('datetime')
4# convert timezone from UTC to GMT+7
5df.index = df.index.tz_convert('Asia/Bangkok')
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