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Pandas: Create a yearly time period from a specified year and find the properties of this period

Pandas Time Series: Exercise-32 with Solution

Write a Pandas program to create a yearly time period from a specified year and display the properties of this period.

Sample Solution:

Python Code :

import pandas as pd
ytp = pd.Period('2020','A-DEC')
print("Yearly time perid:",ytp)
print("\nAll the properties of the said period:")
print(dir(ytp))

Sample Output:

Yearly time perid: 2020

All the properties of the said period:
['__add__', '__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__radd__', '__reduce__', '__reduce_ex__', '__repr__', '__rsub__', '__setattr__', '__setstate__', '__sizeof__', '__str__', '__sub__', '__subclasshook__', '__unicode__', '__weakref__', '_add_delta', '_from_ordinal', '_maybe_convert_freq', '_typ', 'asfreq', 'day', 'dayofweek', 'dayofyear', 'days_in_month', 'daysinmonth', 'end_time', 'freq', 'freqstr', 'hour', 'is_leap_year', 'minute', 'month', 'now', 'ordinal', 'quarter', 'qyear', 'second', 'start_time', 'strftime', 'to_timestamp', 'week', 'weekday', 'weekofyear', 'year']

Python Code Editor:


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Previous: Write a Pandas program to create a monthly time period and display the list of names in the current local scope.

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