Pandas：将时间戳转换为 datetime.date

Question

I have a pandas column of Timestamp data

In [27]: train["Original_Quote_Date"][6] 
Out[27]: Timestamp('2013-12-25 00:00:00')

How can check equivalence of these objects to datetime.date objects of the type

datetime.date(2013, 12, 25)

Answer 1

I have a pandas column of Timestamp data

In [27]: train["Original_Quote_Date"][6] 
Out[27]: Timestamp('2013-12-25 00:00:00')

How can check equivalence of these objects to datetime.date objects of the type

datetime.date(2013, 12, 25)

Answer 2

I have a pandas column of Timestamp data

In [27]: train["Original_Quote_Date"][6] 
Out[27]: Timestamp('2013-12-25 00:00:00')

How can check equivalence of these objects to datetime.date objects of the type

datetime.date(2013, 12, 25)

Answer 3

I have a pandas column of Timestamp data

In [27]: train["Original_Quote_Date"][6] 
Out[27]: Timestamp('2013-12-25 00:00:00')

How can check equivalence of these objects to datetime.date objects of the type

datetime.date(2013, 12, 25)

Answer 4

I have a pandas column of Timestamp data

In [27]: train["Original_Quote_Date"][6] 
Out[27]: Timestamp('2013-12-25 00:00:00')

How can check equivalence of these objects to datetime.date objects of the type

datetime.date(2013, 12, 25)

Answer 5

So, got this from an IBM coursera tutorial.

Answer 6

I've used the way recommended by Filomeno Gonzalez, albeit with a slight twist:

 data['date'] = data['date'].apply(lambda x: x.date())

Answer 7

If I have a pandas DataFrame with timestamp column ( 1546300800000, 1546301100000, 1546301400000, 1546301700000, 1546302000000 ) and I want to convert this into date time format

import datetime

df['date'] = df['date'].apply(lambda x: datetime.datetime.fromtimestamp(x/1000.0))

This will return a column with the format 2019-01-01 00:00:00, 2019-01-01 00:05:00, 2019-01-01 00:10:00, 2019-01-01 00:15:00, 2019-01-01 00:20:00 ...etc

Dividing by 1000 to convert from ms to s as explained here

Answer 8

In my case, I had the epochs as a normal "column" (ie it wasn't a TimeSeries ).

I converted it as follows:

import pandas as pd
df['Timestamp'] = pd.to_datetime(df['Timestamp'] / 1000, unit='s')

Time was in milliseconds, so I needed to divide by a thousand. I set the unit='s' to mention that the Timestamp is in seconds (you can, however, use unit='ms' if you don't want to divide by 1000, or depending on your original Timestamp unit).

A sample result

1673885284000 becomes 2023-01-16 4:08:04