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Pandas Time Series Analysis 5: Period and PeriodIndex
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This tutorial continues pandas time series analysis by introducing period and periodIndex. Periods are time duration used to represent many concepts in finance. Pandas provide rich support for period airthmetic. You can create quarterly, yearly, annual etc. periods and perform airthmetic on them. period_range can be used to create periodIndex between specified start and end.
Topics that are covered in this Python Pandas Video:
0:00 What is time stamp?
0:30 What is time span?
1:09 Use period() function
2:45 Arithmetic operations on period objects
6:02 Create quarterly time period
8:28 Use asfreq() function
10:05 List of all frequency
10:38 Create periodindex
14:40 Convert periodindex to datetimeindex
15:12 Convert datetimeindex to periodindex
17:22 Use set_index() function
18:15 Convert index to periodindex using PeriodIndex()
18:59 Create new columns in dataframe
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Topics that are covered in this Python Pandas Video:
0:00 What is time stamp?
0:30 What is time span?
1:09 Use period() function
2:45 Arithmetic operations on period objects
6:02 Create quarterly time period
8:28 Use asfreq() function
10:05 List of all frequency
10:38 Create periodindex
14:40 Convert periodindex to datetimeindex
15:12 Convert datetimeindex to periodindex
17:22 Use set_index() function
18:15 Convert index to periodindex using PeriodIndex()
18:59 Create new columns in dataframe
Next Video:
Popular Playlist:
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