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Articles by Arnab Chakraborty
Page 289 of 377
Program to implement run length string decoding iterator class in Python
Suppose we want to define an iterator class that constructs with a run-length encoded lowercase string say s, there are two functions for this iterator they are −next() this finds the next element in the iteratorhasnext() this checks whether the next element is present or notSo, if the input is like s = "2b1a", then construct an object with s, then call next(), hasnext(), next(), next(), hasnext(), then the output will be "b", True, "b", "a", False.To solve this, we will follow these steps −Define a constructor. This will take soutput := a new listnum := blank stringfor each i ...
Read MoreProgram to count operations to remove consecutive identical bits in Python
Suppose we have a binary string s, now let us consider an operation where we select a bit and flip its value from 0 to 1 or vice-versa. We have to find the minimum number of operations needed to get a string with no three identical consecutive bits.So, if the input is like s = "10011100", then the output will be 1, because we can flip 1 to 0 the bit at index 4 to make the string "10010100" there are no three consecutive identical bits.To solve this, we will follow these steps −l := 0, count := 0while l ...
Read MoreProgram to define data structure that supports rate limiting checking for user in Python
Suppose we want to develop a data structure that can build up with an expire time, and supports a function that takes user id and a timestamp. This will check whether a user with given user_id at time given timestamp the request fails or not. It will fail only when the user had a successful request less than the given expire time ago.So, if the input is like expire = 6 then construct an object obj, and call functions obj.limit(0, 10), obj.limit(0, 16), obj.limit(0, 17) and obj.limit(1, 20), then the output will be False, False, True and False respectively because ...
Read MoreProgram to define data structure that supports range sum in Python
Suppose we want to develop a data structure that can build up with a list of integers, and there is a function to find sum of elements from index i to index j-1 whenever we require in an efficient way. There are two functions.Constructor that constructs a new instance with the integer array.get_sum(i, j) returns the sum of integers of array elements from starting index i and ending index j-1.So, if the input is like array = [5, 2, 3, 6, 4, 7, 8, 9, 3, 2] then construct an object obj, and call functions obj.get_sum(1, 5) and obj.get_sum(4, 8), ...
Read MorePython Pandas - Return a new Timedelta with seconds floored resolution
To return a new Timedelta floored to this resolution, use the timedelta.floor() method. For seconds floored resolution, set the freq parameter to the value S.At first, import the required libraries −import pandas as pdTimeDeltas is Python’s standard datetime library uses a different representation timedelta’s. Create a Timedelta objecttimedelta = pd.Timedelta('4 days 11 hours 38 min 20 s 35 ms 55 ns')Display the Timedeltaprint("Timedelta...", timedelta)Return the floored Timestamp with seconds floored resolutiontimedelta.floor(freq='S')ExampleFollowing is the code import pandas as pd # TimeDeltas is Python’s standard datetime library uses a different representation timedelta’s # create a Timedelta object timedelta = pd.Timedelta('4 days ...
Read MorePython Pandas - Return a new Timedelta with minutely floored resolution
To return a new Timedelta floored to this resolution, use the timedelta.floor() method. For minutely floored resolution, set the freq parameter to the value T.At first, import the required libraries −import pandas as pdTimeDeltas is Python’s standard datetime library uses a different representation timedelta’s. Create a Timedelta objecttimedelta = pd.Timedelta('8 days 11 hours 39 min 18 s')Display the Timedeltaprint("Timedelta...", timedelta)Return the floored Timestamp with minutely floored resolutiontimedelta.floor(freq='T')ExampleFollowing is the code import pandas as pd # TimeDeltas is Python’s standard datetime library uses a different representation timedelta’s # create a Timedelta object timedelta = pd.Timedelta('8 days 11 hours 39 min ...
Read MorePython Pandas - Return a new Timedelta with hourly floored resolution
To return a new Timedelta floored to this resolution, use the timedelta.floor() method. For hourly floored resolution, set the freq parameter to the value H.At first, import the required libraries −import pandas as pdTimeDeltas is Python’s standard datetime library uses a different representation timedelta’s. Create a Timedelta objecttimedelta = pd.Timedelta('4 days 10 hours 2 min 45 s')Display the Timedeltaprint("Timedelta...", timedelta)Return the floored Timestamp with hourly floored resolutiontimedelta.floor(freq='H') ExampleFollowing is the code import pandas as pd # TimeDeltas is Python’s standard datetime library uses a different representation timedelta’s # create a Timedelta object timedelta = pd.Timedelta('4 days 10 hours 2 ...
Read MorePython Pandas - Return a new Timedelta with daily floored resolution
To return a new Timedelta floored to this resolution, use the timedelta.floor() method. For daily floored resolution, set the freq parameter to the value D.At first, import the required libraries −import pandas as pdTimeDeltas is Python’s standard datetime library uses a different representation timedelta’s. Create a Timedelta objecttimedelta = pd.Timedelta('5 days 10 min 25 s')Display the Timedeltaprint("Timedelta...", timedelta)Return the floored Timestamp with daily floored resolutiontimedelta.floor(freq='D')ExampleFollowing is the code import pandas as pd # TimeDeltas is Python’s standard datetime library uses a different representation timedelta’s # create a Timedelta object timedelta = pd.Timedelta('5 days 10 min 25 s') # ...
Read MorePython Pandas - Return a new Timedelta floored to this resolution
To return a new Timedelta floored to this resolution, use the timedelta.floor() method. For specific floored resolution, use the freq parameter.At first, import the required libraries −import pandas as pdTimeDeltas is Python’s standard datetime library uses a different representation timedelta’s. Create a Timedelta objecttimedelta = pd.Timedelta('6 days 1 min 30 s')Display the Timedeltaprint("Timedelta...", timedelta)Return the floored Timestamp floored to days frequency timedelta.floor(freq='D')ExampleFollowing is the code import pandas as pd # TimeDeltas is Python’s standard datetime library uses a different representation timedelta’s # create a Timedelta object timedelta = pd.Timedelta('6 days 1 min 30 s') # display the Timedelta ...
Read MorePython Pandas - Return a new Timedelta with milliseconds floored resolution
To return a new Timedelta floored to this resolution, use the timedelta.floor() method. For milliseconds floored resolution, set the freq parameter to the value ms.At first, import the required libraries −import pandas as pdTimeDeltas is Python’s standard datetime library uses a different representation timedelta’s. Create a Timedelta objecttimedelta = pd.Timedelta('2 days 10 hours 45 min 20 s 35 ms 55 ns')Display the Timedeltaprint("Timedelta...", timedelta)Return the floored Timestamp with milliseconds floored resolutiontimedelta.floor(freq='ms')ExampleFollowing is the code import pandas as pd # TimeDeltas is Python’s standard datetime library uses a different representation timedelta’s # create a Timedelta object timedelta = pd.Timedelta('2 days ...
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