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Articles by AmitDiwan
Page 54 of 840
Python Pandas - Format and return the string representation of the Period object
To format and return the string representation of a Period object in Pandas, use the strftime() method. This method accepts format specifiers to customize the output format, such as '%d-%b-%Y' for day-month-year representation. What is a Period Object? A Pandas Period represents a specific time span with a defined frequency. It can represent anything from seconds to years, depending on the frequency parameter specified. Creating a Period Object First, let's create a Period object with second-level frequency ? import pandas as pd # Create a Period object with second frequency period = pd.Period(freq="S", ...
Read MorePython Pandas - Change the frequency of the given Period object from Seconds to Daily frequency
To change the frequency of a Pandas Period object from seconds to daily frequency, use the period.asfreq() method with the parameter 'D'. This conversion aggregates time information to the day level. Understanding Period Objects A Pandas Period represents a specific time span with an associated frequency. When you convert from a higher frequency (seconds) to a lower frequency (daily), the result retains only the date component ? import pandas as pd # Create a Period object with seconds frequency period = pd.Period(freq="S", year=2021, month=4, day=16, hour=2, minute=35, second=15) print("Original Period (seconds frequency):") print(period) print("Frequency:", period.freq) ...
Read MorePython Pandas - Convert Period to desired frequency
To convert Period to desired frequency, use the period.asfreq() method. This method allows you to change the frequency of a Pandas Period object to match your analysis requirements. What is asfreq()? The asfreq() method converts a Period from one frequency to another. When converting to a higher frequency (like daily to hourly), it uses specific rules to determine the exact timestamp within the period. 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 03:15:40") period2 = ...
Read MorePython Pandas - Get the year from the Period object
To get the year from the Period object, use the period.year property. A pandas Period represents a specific span of time with a given frequency. Importing Required Library First, import pandas to work with Period objects ? import pandas as pd Creating Period Objects You can create Period objects using different approaches ? import pandas as pd # Create Period from date string period1 = pd.Period("2020-09-23") # Create Period with specific frequency and date components period2 = pd.Period(freq="D", year=2021, month=4, day=16, hour=2, minute=35) print("Period1:", period1) print("Period2:", period2) ...
Read MorePython Pandas - Get the week of the year on the given Period
To get the week of the year on the given Period, use the period.weekofyear property. This property returns the week number (1-53) for any given date within a Period object. Syntax period.weekofyear Where period is a pandas Period object representing a specific date or time period. Creating Period Objects First, import the required library and create Period objects using different methods − import pandas as pd # Creating Period objects using different approaches period1 = pd.Period("2020-09-23") period2 = pd.Period(freq="D", year=2021, month=4, day=16, hour=2, minute=35) # Display the Period objects ...
Read MorePython Pandas - Find the start time for the given Period object
To find the start time for a given Period object, use the start_time property. A Pandas Period represents a specific time span, and start_time returns the exact timestamp when that period begins. What is start_time Property? The start_time property returns a Timestamp object representing the start of the period. This is useful when you need the precise beginning moment of a time period ? import pandas as pd # Create a Period object period = pd.Period("2020-09-22") print("Period:", period) print("Start time:", period.start_time) print("Type:", type(period.start_time)) Period: 2020-09-22 Start time: 2020-09-22 00:00:00 Type: ...
Read MorePython Pandas - Return TimeDeltaIndex as object ndarray of datetime.datetime objects
To return TimeDeltaIndex as object ndarray of datetime.timedelta objects, use the TimeDeltaIndex.to_pytimedelta() method. This method converts Pandas timedelta objects to Python's native datetime.timedelta objects. Syntax TimedeltaIndex.to_pytimedelta() Creating a TimeDeltaIndex First, let's create a TimeDeltaIndex object with various timedelta formats − import pandas as pd # Create a TimeDeltaIndex object with different timedelta formats tdIndex = pd.TimedeltaIndex(data=['10 day 5h 2 min 3us 10ns', '+22:39:19.999999', ...
Read MorePython Pandas - Return a dataframe of the components of the TimedeltaIndex
The TimedeltaIndex.components property in Pandas returns a DataFrame containing the individual components (days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds) of each timedelta in the index. Creating a TimedeltaIndex First, let's create a TimedeltaIndex with various time durations ? import pandas as pd # Create a TimedeltaIndex with different time formats tdIndex = pd.TimedeltaIndex(data=['10 day 5h 2 min 35s 3us 10ns', '+22:39:19.999999', ...
Read MorePython Pandas - Extract the Number of nanoseconds for each element from TimeDeltaIndex
To extract the number of nanoseconds for each element from a TimeDeltaIndex object, use the TimedeltaIndex.nanoseconds property. This property returns only the nanosecond component (0-999) from each timedelta, not the total nanoseconds. Syntax TimedeltaIndex.nanoseconds Creating a TimeDeltaIndex First, let's create a TimeDeltaIndex with various time components including nanoseconds ? import pandas as pd # Create a TimeDeltaIndex object with timedelta-like data tdIndex = pd.TimedeltaIndex(data=['10 day 5h 2 min 35s 3us 10ns', '+22:39:19.999999', ...
Read MorePython Pandas - Extract the Number of microseconds for each element from TimeDeltaIndex
To extract the number of microseconds for each element from TimeDeltaIndex object, use the TimedeltaIndex.microseconds property. This property returns an Int64Index containing the microsecond component of each timedelta. Creating a TimeDeltaIndex First, let's create a TimeDeltaIndex object with various timedelta formats ? import pandas as pd # Create a TimeDeltaIndex object with different timedelta formats tdIndex = pd.TimedeltaIndex(data=['10 day 5h 2 min 35s 3us 10ns', '+22:39:19.999999', ...
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