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Page 267 of 2547
Python Pandas - Check whether the year is a leap year from the Period object
To check whether the year is a leap year from the Period object, use the period.is_leap_year property. This property returns True if the year in the Period is a leap year, otherwise False. Syntax period.is_leap_year Creating Period Objects First, import pandas and create Period objects to work with ? import pandas as pd # Create Period objects with different years period1 = pd.Period("2020-09-23 05:55:30") period2 = pd.Period(freq="Y", year=2021, month=7, day=16, hour=2, minute=35) # Display the Period objects print("Period1...", period1) print("Period2...", period2) Period1... 2020-09-23 05:55:30 Period2... ...
Read MorePython Pandas - Get the hour of the day component of the Period
To get the hour of the day component of the Period, use the period.hour property. This property returns an integer value representing the hour component (0-23) of a Pandas Period object. Creating Period Objects First, let's import pandas and create Period objects with datetime information ? import pandas as pd # Creating Period objects with datetime strings period1 = pd.Period("2020-09-23 05:55:30") period2 = pd.Period(freq="H", year=2021, month=7, day=16, hour=2, minute=35) print("Period1:", period1) print("Period2:", period2) Period1: 2020-09-23 05:55:30 Period2: 2021-07-16 02:00 Extracting Hour Components Use the hour property to extract ...
Read MorePython Pandas - Return the string alias of the Time series frequency applied on the given Period object
To return the string alias of the Time series frequency applied on the given Period object, use the period.freqstr property. This property provides a human-readable representation of the frequency used by the Period object. What is period.freqstr? The freqstr property returns a string alias that describes the frequency of the Period object. It shows information like the base frequency (Second, Day, Year) and any additional parameters. Creating Period Objects First, let's create Period objects with different frequencies ? import pandas as pd # Create Period objects with different frequencies period1 = pd.Period("2020-09-23 03:55:20") ...
Read MorePython Pandas - Find the end time for the given Period object
To find the end time for the given Period object, use the period.end_time property. This property returns a Timestamp representing the end time of the period. Syntax period.end_time Returns: Timestamp representing the end time of the period Creating Period Objects First, let's import pandas and create Period objects with different frequencies ? import pandas as pd # Create Period objects with different frequencies period1 = pd.Period("2020-09-23 03:55:20") period2 = pd.Period(freq="T", year=2021, month=2, day=14, hour=2, minute=35) print("Period1:", period1) print("Period2:", period2) Period1: 2020-09-23 03:55:20 Period2: 2021-02-14 02:35 ...
Read MorePython Pandas - Get the frequency for the given Period object
To get the frequency for the given Period object, use the period.freq property. The pandas.Period represents a period of time with an associated frequency that determines the resolution of the time period. Creating Period Objects First, import pandas and create Period objects with different frequencies ? import pandas as pd # Create Period objects with different frequencies period1 = pd.Period("2020-09-23 03:55:20") period2 = pd.Period(freq="T", year=2021, month=2, day=14, hour=2, minute=35) print("Period1:", period1) print("Period2:", period2) Period1: 2020-09-23 03:55:20 Period2: 2021-02-14 02:35 Getting Frequency Information Use the .freq property to retrieve ...
Read MorePython Pandas - Form the Union of two Index objects
To form the Union of two Index objects, use the index1.union(index2) method in Pandas. The union operation combines all unique elements from both indexes and returns them in sorted order. Syntax index1.union(index2, sort=None) Parameters The union() method accepts the following parameters ? index2 − The second Index object to union with sort − Whether to sort the result (default: None, which sorts if possible) Creating Index Objects First, let's create two Pandas Index objects ? import pandas as pd # Creating two Pandas index index1 = ...
Read MorePython Pandas - Get the total number of days of the month that the Period falls in
To get the total number of days of the month that a Period falls in, use the period.daysinmonth property in Pandas. This property returns an integer representing the total days in that specific month and year. Syntax period.daysinmonth Where period is a Pandas Period object. Creating Period Objects First, let's create Period objects to demonstrate the daysinmonth property ? import pandas as pd # Create Period objects using different methods period1 = pd.Period("2020-09-23") period2 = pd.Period(freq="D", year=2021, month=2, day=14, hour=2, minute=35) period3 = pd.Period("2020-02-15") # Leap year February ...
Read MorePython Pandas - Get the Day of the year from Period object
To get the day of the year from a Period object, use the period.dayofyear property. This returns an integer between 1-365 for regular years and 1-366 for leap years. What is a Period Object? The pandas.Period represents a specific period of time with a defined frequency. It's useful for time-based data analysis and operations. Creating Period Objects You can create Period objects in multiple ways ? import pandas as pd # Create Period from date string period1 = pd.Period("2020-09-23") # Create Period with explicit parameters period2 = pd.Period(freq="D", year=2021, month=7, day=16, hour=2, ...
Read MorePython Pandas - Get the Day of the week the period lies in
To get the day of the week that a Period falls on, use the period.dayofweek property. This returns an integer where Monday=0, Tuesday=1, ..., Sunday=6. Importing Required Libraries At first, import the required libraries − import pandas as pd Creating Period Objects The pandas.Period represents a period of time. Creating two Period objects − period1 = pd.Period("2021-09-18") period2 = pd.Period(freq='D', year=2021, month=9, day=22, hour=4, minute=55) print("Period1...", period1) print("Period2...", period2) Period1... 2021-09-18 Period2... 2021-09-22 Getting Day of Week Get the day of week ...
Read MorePython Pandas - Form the intersection of two Index objects
To form the intersection of two Index objects in Pandas, use the intersection() method. This method returns a new Index containing only the elements that appear in both indexes. Syntax index1.intersection(index2, sort=False) Parameters other − Another Index object to find intersection with sort − Boolean, whether to sort the result (default: False) Example with No Common Elements Let's start with two indexes that have no common elements ? import pandas as pd # Creating two Pandas indexes with no common elements index1 = pd.Index([10, 20, 30, 40, ...
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