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To check whether the date in DateTimeIndex is the last day of the year, use the DateTimeIndex.is_year_end property.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as D i.e. days −datetimeindex = pd.date_range('2021-12-25 02:30:50', periods=6, tz='Australia/Adelaide', freq='2D') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Check whether the date in DateTimeIndex is the last day of the year −print("Check whether the date in DateTimeIndex is the last day of the year...", datetimeindex.is_year_end)ExampleFollowing is the code −import pandas as pd # DatetimeIndex with period 6 and frequency as D i.e. days # The timezone is Australia/Adelaide datetimeindex ... Read More
Suppose we have a list of numbers called nums, with unique positive numbers nums. We have to find the number of quadruples like (a, b, c, d) from nums such that a*b = c*d, a, b, c and d all are distinct elements of nums.So, if the input is like nums = [3, 6, 4, 8], then the output will be 8, because the quadruples are [[3, 8, 6, 4], [3, 8, 4, 6], [8, 3, 6, 4], [8, 3, 4, 6], [6, 4, 3, 8], [4, 6, 3, 8], [6, 4, 8, 3], [4, 6, 8, 3]].To solve this, ... Read More
To check whether the date in DateTimeIndex is the first day of the year, use the DateTimeIndex.is_year_start property.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as D i.e. days −datetimeindex = pd.date_range('2021-12-30 02:30:50', periods=6, tz='Australia/Adelaide', freq='1D') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Check whether the date in DateTimeIndex is the first day of the year −print("Check whether the date in DateTimeIndex is the first day of the year...", datetimeindex.is_year_start)ExampleFollowing is the code −import pandas as pd # DatetimeIndex with period 6 and frequency as D i.e. days # The timezone is Australia/Adelaide datetimeindex ... Read More
Suppose we have a list of numbers called nums. The length of this list is even. Now consider an operation where we select any number in nums and update it with a value in range [1 and maximum of nums]. We have to find the minimum number of such operations required such that, for every i, nums[i] + nums[n-1-i] equals to the same number.So, if the input is like nums = [8, 6, 2, 5, 9, 2], then the output will be 2, because if we change first 2 at nums[2] to 5, and 9 at nums[4] to 4, then ... Read More
To check whether the date in DateTimeIndex is the last day of the quarter, use the DateTimeIndex.is_quarter_end property.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as D i.e. days. The timezone is Australia/Adelaide −datetimeindex = pd.date_range('2021-6-15 02:30:50', periods=6, tz='Australia/Adelaide', freq='15D') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Check whether the date in DateTimeIndex is the last day of the quarter −print("Check whether the date in DateTimeIndex is the last day of the quarter...", datetimeindex.is_quarter_end)ExampleFollowing is the code −import pandas as pd # DatetimeIndex with period 6 and frequency as D i.e. days # The ... Read More
To check whether the date in DateTimeIndex is the first day of the quarter, use the DateTimeIndex.is_quarter_start property.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as D i.e. days −datetimeindex = pd.date_range('2021-10-1 02:30:50', periods=6, tz='Australia/Adelaide', freq='30D') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Check whether the date in DateTimeIndex is the first day of the quarter −print("Check whether the date in DateTimeIndex is the first day of the quarter...", datetimeindex.is_quarter_start)ExampleFollowing is the code −import pandas as pd # DatetimeIndex with period 6 and frequency as D i.e. days # The timezone is Australia/Adelaide datetimeindex ... Read More
To check whether the date in DateTimeIndex is the last day of the month, use the DateTimeIndex.is_month_end property.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as D i.e. days −datetimeindex = pd.date_range('2021-9-15 06:40:35', periods=6, tz='Australia/Adelaide', freq='15D') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Check whether the date in DateTimeIndex is the last day of the month −print("Check whether the date in DateTimeIndex is the last day of the month...", datetimeindex.is_month_end)ExampleFollowing is the code −import pandas as pd # DatetimeIndex with period 6 and frequency as D i.e. days # The timezone is Australia/Adelaide datetimeindex ... Read More
Suppose we have a list of numbers called nums. Now consider a function say f(i) which deletes the element at index i and then returns true or false, depending the resulting list's sum of even index values is same as the sum of odd index values or not. So we need the number of indexes for which f would return true.So, if the input is like nums = [6, 8, 5, 2, 3], then the output will be 2 becuase, if we remove 8, the array will be [6, 5, 2, 3], the odd and even index elements sum is ... Read More
To check whether the date in DateTimeIndex is the first day of the month, use the DateTimeIndex.is_month_start property.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as D i.e. days. The timezone is Australia/Adelaide −datetimeindex = pd.date_range('2021-9-21 02:30:50', periods=6, tz='Australia/Adelaide', freq='5D') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Check whether the date in DateTimeIndex is the first day of the month −print("Check whether the date in DateTimeIndex is the first day of the month...", datetimeindex.is_month_start)ExampleFollowing is the code −import pandas as pd # DatetimeIndex with period 6 and frequency as D i.e. days # The ... Read More
To extract the frequency object as a string from the DateTimeIndex, use the DateTimeIndex.freqstr property in Pandas.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as D i.e. day −datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Adelaide', freq='D') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Display DateTimeIndex frequency as a string −print("DateTimeIndex frequency as string...", datetimeindex.freqstr) ExampleFollowing is the code −import pandas as pd # DatetimeIndex with period 6 and frequency as D i.e. day # The timezone is Australia/Adelaide datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Adelaide', freq='D') # display DateTimeIndex print("DateTimeIndex...", datetimeindex) # display DateTimeIndex ... Read More