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To format and return the string representation of the Period object, use the period.strftime() method. With that, set the format specifiers as an argument like strftime('%d-%b-%Y').At first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Creating a Period objectperiod = pd.Period(freq="S", year = 2021, month = 9, day = 18, hour = 8, minute = 20, second = 45) Display the Period objectprint("Period...", period)Display the formatted string representationprint("String representation (format)...", period.strftime('%d-%b-%Y')) ExampleFollowing is the code import pandas as pd # The pandas.Period represents a period of time # Creating a Period object period ... Read More
To change the frequency of the given Period object from Seconds to Minutely frequency, use the period.asfreq() method and set the parameter ‘T’.At first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Creating a Period object. We have set the frequency as seconds i.e. 'S' using the 'freq' parameter period = pd.Period(freq="S", year = 2021, month = 9, day = 11, hour = 8, minute = 20, second = 45)Display the Period object with Seconds frequencyprint("Period...", period) Convert Period from Seconds to Minutely frequency. We have set the "T" to convert seconds to minutely ... Read More
To change the frequency of the given Period object from Seconds to Hourly frequency, use the period.asfreq() method and set the parameter ‘H’.At first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Creating a Period object. We have set the frequency as seconds ie. 'S' using the 'freq' parameterperiod = pd.Period(freq="S", year = 2021, month = 4, day = 16, hour = 2, minute = 35, second = 15) Display the Period object with Seconds frequencyprint("Period...", period)Convert Period from Seconds to Hourly frequency. We have set the "H" to convert seconds to hourly frequency ... Read More
To change the frequency of the given Period object from Seconds to Daily frequency, use the period.asfreq() method and set the parameter ‘D’.At first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Creating a Period object. We have set the frequency as seconds ie. 'S' using the 'freq' parameterperiod = pd.Period(freq="S", year = 2021, month = 4, day = 16, hour = 2, minute = 35, second = 15)Display the Period object with Seconds frequencyprint("Period...", period) Convert Period from Seconds to Daily frequency. We have set the "D" to convert seconds to daily frequency ... Read More
To convert Period to desired frequency, use the period.asfreq() method. Let’s say we will set to desired Hourly frequency using the ‘H’ specifier.At first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Create two Period objectsperiod1 = pd.Period("2020-09-23 03:15:40") period2 = pd.Period(freq="D", year = 2021, month = 4, day = 16, hour = 2, minute = 35)Display the Period objectsprint("Period1...", period1) print("Period2...", period2)Convert Period to desired frequency. We have set frequency as H i.e. Hourly frequencyres1 = period1.asfreq('H') res2 = period2.asfreq('H')ExampleFollowing is the code import pandas as pd # The pandas.Period represents a ... Read More
To get the year from the Period object, use the period.year property. At first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Creating two Period objectsperiod1 = pd.Period("2020-09-23") period2 = pd.Period(freq="D", year = 2021, month = 4, day = 16, hour = 2, minute = 35)Display the Period objectsprint("Period1...", period1) print("Period2...", period2)Get the year from two Period objectsres1 = period1.year res2 = period2.yearExampleFollowing is the code import pandas as pd # The pandas.Period represents a period of time # creating two Period objects period1 = pd.Period("2020-09-23") period2 = pd.Period(freq="D", year = 2021, month ... Read More
To get the week of the year on the given Period, use the period.weekofyear property. At first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Creating two Period objectsperiod1 = pd.Period("2020-09-23") period2 = pd.Period(freq="D", year = 2021, month = 4, day = 16, hour = 2, minute = 35)Display the Period objectsprint("Period1...", period1) print("Period2...", period2)Get the week of the year from two Period objectsres1 = period1.weekofyear res2 = period2.weekofyearExampleFollowing is the code import pandas as pd # The pandas.Period represents a period of time # creating two Period objects period1 = pd.Period("2020-09-23") period2 ... Read More
To find the start time for the given Period object, use the period.start_time property. At first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Creating two Period objectsperiod1 = pd.Period("2020-09-22") period2 = pd.Period(freq="D", year = 2021, month = 2, day = 14, hour = 2, minute = 35)Display the Period objectsprint("Period1...", period1) print("Period2...", period2)Get the start time from two Period objectsres1 = period1.start_time res2 = period2.start_timeExampleFollowing is the code import pandas as pd # The pandas.Period represents a period of time # creating two Period objects period1 = pd.Period("2020-09-22") period2 = pd.Period(freq="D", year ... Read More
Suppose we have a list of numbers called nums, where all elements are unique. We have to find the length of the longest sublist that contains consecutive elements.So, if the input is like nums = [3, 6, 7, 5, 4, 9], then the output will be 5, because the sublist is [3, 6, 7, 5, 4] this contains all consecutive elements from 3 to 7.To solve this, we will follow these steps −ret := 0for i in range 0 to size of nums - 1, dolhs := nums[i]rhs := nums[i]for j in range i to size of nums - 1, ... Read More
Units of Synchronizing Power Coefficient (𝑷𝐬𝐲𝐧)Generally, the synchronizing power coefficient is expressed in Watts per electrical radian, i.e., $$\mathrm{𝑃_{syn} =\frac{𝑉 𝐸_{𝑓}}{𝑋_{𝑠}}cos\:𝛿 \:\:Watts/electrical\:radian …(1)}$$$$\mathrm{∵ \:𝜋\:radians = 180\:degrees}$$$$\mathrm{\Rightarrow\:1\:radian =\frac{180}{𝜋}\:degrees}$$$$\mathrm{∵ \:𝑃_{syn}=\frac{𝑑𝑃}{𝑑𝛿}\:\:Watts/ \left(\frac{180}{𝜋}\:degrees \right)}$$$$\mathrm{\Rightarrow\:𝑃_{syn}=\left( \frac{𝑑𝑃}{𝑑𝛿}\right)\left(\frac{𝜋}{180}\right)\:\:Watt/electrical\:degree …(2)}$$If p is the total number of pole pairs in the machine, then$$\mathrm{𝜃_{electrical} = 𝑝 \cdot 𝜃_{mechanical}}$$Therefore, the synchronizing power coefficient per mechanical radian is given by, $$\mathrm{𝑃_{syn} = 𝑝 \cdot\left( \frac{𝑑𝑃}{𝑑𝛿}\right)\:\:Watts/mech. radian …(3)}$$And, the synchronizing power coefficient per mechanical degree is given by, $$\mathrm{𝑃_{syn} =\left( \frac{𝑑𝑃}{𝑑𝛿}\right)\left(\frac{𝑝\:𝜋}{180}\right)\:Watts/mech.degree …(4)}$$Significance of Synchronizing Power CoefficientThe synchronizing power coefficient ($𝑃_{syn}$) is the measure of the stiffness of the electromagnetic coupling between the stator ... Read More