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To convert given Timestamp to Period, use the timestamp.to_period() method. Within that, set the frequency using the freq parameter. For minutely frequency, set freq as T.At first, import the required libraries −import pandas as pdCreate a timestamp objecttimestamp = pd.Timestamp(2021, 9, 6, 11, 50, 20, 33) Convert timestamp to Period. We have set the frequency as minutely using the "freq" parameter with value 'T'timestamp.to_period(freq='T')ExampleFollowing is the code import pandas as pd # set the timestamp object in Pandas timestamp = pd.Timestamp(2021, 9, 6, 11, 50, 20, 33) # display the Timestamp print("Timestamp...", timestamp) # convert timestamp to ... Read More
To convert given Timestamp to Period, use the timestamp.to_period() method. Within that, set the frequency using the freq parameter.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandastimestamp = pd.Timestamp('2021-09-14T15:12:34.261811624')Now, convert timestamp to Period. We have set the frequency as Month using the "freq" parameter with value 'M'timestamp.to_period(freq='M')ExampleFollowing is the codeimport pandas as pd # set the timestamp object in Pandas timestamp = pd.Timestamp('2021-09-14T15:12:34.261811624') # display the Timestamp print("Timestamp...", timestamp) # convert timestamp to Period # we have set the frequency as Month using the "freq" parameter with value 'M' print("Timestamp to ... Read More
Suppose we have a number n. We have to find $e^{x}$ efficiently, without using library functions. The formula for $e^{x}$ is like$$e^{x} = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + ...$$So, if the input is like x = 5, then the output will be 148.4131 because e^x = 1 + 5 + (5^2/2!) + (5^3/3!) + ... = 148.4131...To solve this, we will follow these steps −fact := 1res := 1n := 20 it can be large for precise resultsnume := xfor i in range 1 to n, dores := res + nume/factnume := nume * xfact := fact ... Read More
Suppose we have two numbers a and b. We have to find how many positive integers are there, that are divisors to both a and b.So, if the input is like a = 288 b = 240, then the output will be 10 because the common divisors are [1, 2, 3, 4, 6, 8, 12, 16, 24, 48].To solve this, we will follow these steps −res := 0for i in range 1 to gcd(a, b) + 1, doif (a mod i) is 0 and (b mod i) is 0, thenres := res + 1return resExampleLet us see the following implementation ... Read More
Suppose we are given a integer array that contains several integer values. We have to find out the difference between the smallest value and the largest value in the array. To solve this problem, we have to use macros. The inputs are taken from stdin, and the result is printed back to stdout.So, if the input is like array = {120, 589, 324, 221, 234}, then the output will be The answer is : 469The difference between the largest value 589 and the smallest value 120 is 469.To solve this, we will follow these steps −mini := infinitymaxi := negative ... Read More
Suppose we have a number n. We have to generate Pascal's triangle up to n lines. The Pascal's triangle will be look like this −The property of Pascal's triangle is the sum of each adjacent two numbers of previous row is the value of the number which is placed just below on the second row. For example, the first 10 at row 6 is sum of 4 and 6 at row 5 and second 10 is sum of two numbers 6 and 4 at row 5.So, if the input is like n = 5, then the output will be ... Read More
To construct an IntervalArray from an array-like of tuples, use the pandas.arrays.IntervalArray.from_tuples() method.At first, import the required libraries −import pandas as pdConstruct a new IntervalArray from an array-like of tuples: −array = pd.arrays.IntervalArray.from_tuples([(10, 25), (15, 70)]) Display the intervalArray −print("Our IntervalArray...", array)Getting the length of IntervalArray −print("Our IntervalArray length...", array.length) ExampleFollowing is the code −import pandas as pd # Construct a new IntervalArray from an array-like of tuples array = pd.arrays.IntervalArray.from_tuples([(10, 25), (15, 70)]) # Display the IntervalArray print("Our IntervalArray...", array) # Getting the length of IntervalArray # Returns an Index with entries denoting the length of ... Read More
To check if the Intervals in the IntervalArray is empty, use the array.is_empty property in Pandas.At first, import the required libraries −import pandas as pdCreate two Interval objects. Open interval set using the "closed" parameter with value "neither" −interval1 = pd.Interval(0, 0, closed='neither') interval2 = pd.Interval(20, 50, closed='neither')Display the intervals −print("Interval1...", interval1) print("Interval2...", interval2)Construct a new IntervalArray from Interval objects −array = pd.arrays.IntervalArray([interval1, interval2]) Check if the Intervals in the IntervalArray is empty −print("Check if IntervalArray is empty?", array.is_empty)ExampleFollowing is the code −import pandas as pd # Create two Interval objects # Open interval set using the "closed" parameter ... Read More
To return an Index with entries denoting the length of each Interval in the IntervalArray, use the array.length property.At first, import the required libraries −import pandas as pdCreate two Interval objects. Closed intervals set using the "closed" parameter with value "both" −interval1 = pd.Interval(50, 75, closed='both') interval2 = pd.Interval(65, 95, closed='both')Construct a new IntervalArray from Interval objects −array = pd.arrays.IntervalArray([interval1, interval2]) Display the IntervalArray −print("Our IntervalArray...", array)Getting the length of IntervalArray. Returns an Index with entries denoting the length of each Interval in the IntervalArray −print("Our IntervalArray length...", array.length) ExampleFollowing is the code −import pandas as pd # Create ... Read More
To return the midpoint of each Interval in the IntervalArray as an Index, use the array.mid property. At first, At first, import the required libraries −import pandas as pdCreate two Interval objects. Closed intervals set using the "closed" parameter with value "both" −interval1 = pd.Interval(50, 75, closed='both') interval2 = pd.Interval(65, 90, closed='both')Display the intervals −print("Interval1...", interval1) print("Interval2...", interval2)Construct a new IntervalArray from Interval objects −array = pd.arrays.IntervalArray([interval1, interval2]) Midpoint of each Interval in the IntervalArray as an Index −print("The midpoint of each interval in the IntervalArray...", array.mid)ExampleFollowing is the code −import pandas as pd # Create two Interval objects ... Read More