Python Pandas Tutorial | TimeStamp Split into Year, Month, Day, Dayofweek

Опубликовано: 07 Октябрь 2024
на канале: technologyCult

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Python Pandas Tutorial | TimeStamp Split into Year, Month, Day, Dayofweek
Topic to be covered:
How to split the TimeStamp into Year, Month, Day, Dayofweek, hours, minutes, seconds and microsecond.

Code:
Split Timestamp into month, day, wekk_of_day, hour, minute, second, microsecond
suppose the date range start from 1st Jan, 2017 and there are 200000 entries with the frequency of every 1 second with the frequency of every 1 second

import pandas as pd
import numpy as np

ts_value = pd.date_range('01/01/2017',periods=200000,freq='15S')

Create the dataframe df
df = pd.DataFrame()

Add a column with ts_value above
df['Datetime'] = ts_value

Dervie a column year from the Column "Datetime"
df['Year'] = df.Datetime.dt.year

Dervie a column month from the Column "Datetime"
df['Month'] = df.Datetime.dt.month

Dervie a column day from the Column "Datetime"
df['Day'] = df.Datetime.dt.day

Dervie a column week_day from the Column "Datetime"
df['Weekday_name'] = df.Datetime.dt.weekday_name

Dervie a column Hour from the Column "Datetime"
df['Hour'] = df.Datetime.dt.hour

Dervie a column minutes from the Column "Datetime"
df['Minutes'] = df.Datetime.dt.minute

Dervie a column second from the Column "Datetime"
df['Second'] = df.Datetime.dt.second

Dervie a column microsecond from the Column "Datetime"
df['Microsecond'] = df.Datetime.dt.microsecond

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