Suppose we have a list of intervals. In this list interval[i] has [start, end] values. We have to find the number of intervals are contained by another interval. If there is an interval that is contained by multiple other intervals that should only be counted once. An interval [s0, e0] is inside another interval [s1, e1] when s0 ≤ s1 and e0 ≥ e1.So, if the input is like intervals = [[2, 6], [3, 4], [4, 7], [5, 5]], then the output will be 2, because [3, 4] and [5, 5] are inside [2, 6] and [4, 7] respectively.To solve ... Read More

To extract hour from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.hour property.At first, import the required libraries −import pandas as pdDatetimeIndex with period 6 and frequency as H i.e. hour. The timezone is Australia/Sydney −datetimeindex = pd.date_range('2021-10-20 02:35:55', periods=6, tz='Australia/Sydney', freq='H') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Get the hour −print("Getting the hour..", datetimeindex.hour) ExampleFollowing is the code −import pandas as pd # DatetimeIndex with period 6 and frequency as H i.e. hour # The timezone is Australia/Sydney datetimeindex = pd.date_range('2021-10-20 02:35:55', periods=6, tz='Australia/Sydney', freq='H') # display DateTimeIndex print("DateTimeIndex...", datetimeindex) # display DateTimeIndex frequency print("DateTimeIndex frequency...", datetimeindex.freq) ... Read More

Suppose we have two numbers start and end, we have to find a sorted list of integers such that every number e in range [start, end] both inclusive and the digits of e are contiguously increasing. An example of continuously increasing number is 5678, but 169 is not.So, if the input is like start = 10 end = 150, then the output will be [12, 23, 34, 45, 56, 67, 78, 89, 123]To solve this, we will follow these steps −s := all 9 digits as a string "123456789"a := a new listfor i in range 0 to 8, dofor j in range i + 1 to 9, dox := (substring of s from index i to j-1) as numberif start

Suppose we have two numbers n and k. Here n represents the number of games we are going to play. We have to find in how many ways we can win k or fewer games consecutively. If the answer is too large then mod the result by 10^9 + 7.So, if the input is like n = 3 k = 2, then the output will be 7, as the possible ways in which we can win 2 or fewer times consecutively, are ["LLL", "WLL", "LWL", "LLW", "WWL", "LWW", "WLW"]To solve this, we will follow these steps −m := 1^9 + ... Read More

To return an IntervalArray identical to the current one but closed on the specified side, use the set_closed() method with parameter set as both.At first, import the required libraries −import pandas as pdCreate IntervalArray −index = pd.arrays.IntervalArray.from_breaks(range(6)) Display the interval −print("IntervalIndex...", index)Return an IntervalArray identical to the current one but closed on specified side i.e. "both" here −print("Result...", index.set_closed('both')) ExampleFollowing is the code −import pandas as pd # Create IntervalArray index = pd.arrays.IntervalArray.from_breaks(range(6)) # Display the interval print("IntervalIndex...", index) # Display the interval length print("IntervalIndex length...", index.length) # the left bound print("The left bound for the ... Read More

To return an IntervalArray identical to the current one but closed on the left side, use the set_closed() method with value left.At first, import the required libraries −import pandas as pdCreate IntervalArray −index = pd.arrays.IntervalArray.from_breaks(range(5))Display the interval −print("IntervalIndex...", index)Return an IntervalArray identical to the current one but closed on specified side i.e. "left" here −print("Result...", index.set_closed('left')) ExampleFollowing is the code −import pandas as pd # Create IntervalArray index = pd.arrays.IntervalArray.from_breaks(range(5)) # Display the interval print("IntervalIndex...", index) # Display the interval length print("IntervalIndex length...", index.length) # the left bound print("The left bound for the IntervalIndex...", index.left) ... Read More

To get the locations of all the relevant interval if a label is in several intervals, use the get_loc() method in Pandas.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) interval2 = pd.Interval(75, 90) interval3 = pd.Interval(50, 90)Create IntervalIndex from the three intervals −index = pd.IntervalIndex([interval1, interval2, interval3]) Get the locations of all the relevant interval if a label is in several intervals −print("Get the locations of all the relevant interval...", index.get_loc(65))ExampleFollowing is the code −import pandas as pd # Create two ... Read More

To get integer location for requested label, use the get_loc() method in Pandas. 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) interval2 = pd.Interval(75, 90)Create IntervalIndex from the two intervals −index = pd.IntervalIndex([interval1, interval2]) Get integer location for requested label −print("Integer location for requested label...", index.get_loc(75))ExampleFollowing is the code −import pandas as pd # Create two Interval objects # Closed intervals set using the "closed" parameter with value "both" interval1 = pd.Interval(50, 75) interval2 = pd.Interval(75, 90) # display ... Read More

To check if Intervals that only have an open endpoint in common overlap or not, use the IntervalIndex.is_overlapping property.At first, import the required libraries −import pandas as pdCreate IntervalIndex. The intervals are closed on the left-side since the "closed" parameter is set "left" −interval = pd.interval_range(0, 8, closed='left') Display the interval −print("IntervalIndex...", interval)Check if the Intervals that only have an open endpoint in common overlap or not −print("Does the Intervals that have an open endpoint overlap?", interval.is_overlapping)ExampleFollowing is the code −import pandas as pd # Create IntervalIndex # The intervals are closed on the left-side since the "closed" parameter ... Read More

To check if Intervals that share closed endpoints overlap, use the IntervalIndex.is_overlapping property. At first, import the required libraries −import pandas as pdCreate IntervalIndex. The intervals are closed on both the sides since the "closed" parameter is set "both" −interval = pd.interval_range(0, 8, closed='both') Display the interval −print("IntervalIndex...", interval)Check if the Intervals that share closed endpoints overlap −print("Does the Intervals that share closed endpoints overlap?", interval.is_overlapping)ExampleFollowing is the code −import pandas as pd # Create IntervalIndex # The intervals are closed on both the sides since the "closed" parameter is set "both" interval = pd.interval_range(0, 8, closed='both') # ... Read More