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Articles by Arnab Chakraborty
Page 292 of 377
Python Pandas - Return a numpy timedelta64 array scalar view in nanoseconds
To return a numpy timedelta64 array scalar view in nanoseconds, use the timedelta.asm8 property in Pandas.At first, import the required libraries −import pandas as pdExampleFollowing 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('10 min 20 s') # display the Timedelta print("Timedelta...", timedelta) # getting the timedelta64 in nanoseconds res = timedelta.asm8 # display the timedelta64 print("Timedelta64 array scalar view...", res)OutputThis will produce the following code Timedelta... 0 days 00:10:20 Timedelta64 array scalar view... 620000000000 nanoseconds
Read MorePython - Get the weekday from Timestamp object in Pandas
To get the weekday from Timestamp object, use the timestamp.weekday() method. At first, import the required libraries −import pandas as pd import datetimeSet the timestamp in Pandas. Create a Timestamp objecttimestamp = pd.Timestamp(datetime.datetime(2021, 5, 12)) Get the weekday of the year. Weekday is represented by number Monday == 0, Tuesday == 1 … Sunday == 6timestamp.weekday()ExampleFollowing is the code import pandas as pd import datetime # set the timestamp in Pandas # create a Timestamp object timestamp = pd.Timestamp(datetime.datetime(2021, 5, 12)) # display the Timestamp print("Timestamp...", timestamp) # getting the weekday of the year res = timestamp.weekday() ...
Read MorePython Pandas - Get the UTC Offset Time
To get the UTC Offset Time, use the timestamp.utcoffset(). At first, import the required libraries −import pandas as pdCreating a timestamptimestamp = pd.Timestamp('2021-10-16T15:12:34.261811624', tz='UTC') New timestamp with UTC day and timetimestamp.utcnow()Get the UTC offset timetimestamp.utcoffset() ExampleFollowing is the code import pandas as pd # creating a timestamp timestamp = pd.Timestamp('2021-10-16T15:12:34.261811624', tz='UTC') # display the Timestamp print("Timestamp...", timestamp) # new timestamp with UTC day and time print("UTC day and time...", timestamp.utcnow()) # Get the UTC offset time print("UTC offset time...", timestamp.utcoffset())OutputThis will produce the following code Timestamp... 2021-10-16 15:12:34.261811624+00:00 UTC day and time... 2021-10-03 07:56:44.685816+00:00 ...
Read MorePython Pandas - Construct a naive UTC datetime from a POSIX timestamp
To construct a naive UTC datetime from a POSIX timestamp, use the timestamp.utcfromtimestamp() method. Pass the POSIX as an argument.At first, import the required libraries −import pandas as pdCreate a timestamptimestamp = pd.Timestamp('2021-09-14T15:12:34.261811624') Constructing a naive UTC datetime from a POSIX timestamp. POSIX is passed as an argumenttimestamp.utcfromtimestamp(1631717502)ExampleFollowing is the code import pandas as pd # creating a timestamp timestamp = pd.Timestamp('2021-09-14T15:12:34.261811624') # display the Timestamp print("Timestamp...", timestamp) # constructing a naive UTC datetime from a POSIX timestamp # POSIX is passed as an argument print("Construct UTC Datetime...", timestamp.utcfromtimestamp(1631717502))OutputThis will produce the following code Timestamp... 2021-09-14 15:12:34.261811624 ...
Read MorePython Pandas - Convert Timestamp to another time zone
Convert Timestamp to another time zone, use the timestamp.tz_convert(). Set the time zone as the parameter. At first, import the required libraries −import pandas as pdCreate the timestamp object in Pandas. We have also set the timezonetimestamp = pd.Timestamp('2021-10-14T15:12:34.261811624', tz='US/Eastern') Convert timezone of timestamptimestamp.tz_convert('Australia/Brisbane'))ExampleFollowing is the code import pandas as pd # set the timestamp object in Pandas # we have also set the timezone timestamp = pd.Timestamp('2021-10-14T15:12:34.261811624', tz='US/Eastern') # display the Timestamp print("Timestamp...", timestamp) # convert timezone print("Convert the Timestamp timezone...", timestamp.tz_convert('Australia/Brisbane'))OutputThis will produce the following code Timestamp... 2021-10-14 15:12:34.261811624-04:00 Convert the Timestamp timezone... ...
Read MorePython Pandas - Return proleptic Gregorian ordinal
To return proleptic Gregorian ordinal, use the timestamp.toordinal() method. At first, import the required libraries −import pandas as pdCreate the timestamp object in Pandastimestamp = pd.Timestamp(2021, 9, 18, 11, 50, 20, 33) Return proleptic Gregorian ordinal. Example: January 1 of year 1 is day 1timestamp.toordinal()ExampleFollowing is the code import pandas as pd # set the timestamp object in Pandas timestamp = pd.Timestamp(2021, 9, 18, 11, 50, 20, 33) # display the Timestamp print("Timestamp...", timestamp) # Return proleptic Gregorian ordinal. # Example: January 1 of year 1 is day 1. print("Gregorian ordinal...", timestamp.toordinal())OutputThis will produce the following code Timestamp... 2021-09-18 11:50:20.000033 Gregorian ordinal... 738051
Read MorePython Pandas - Get the current date and time from Timestamp object
Get the current date and time from Timestamp object, use the timestamp.today() method.At first, import the required libraries −import pandas as pd import datetimeCreate the timestamp in Pandastimestamp = pd.Timestamp(datetime.datetime(2021, 10, 10)) Display the Timestampprint("Timestamp: ", timestamp)Getting the current date and timeres = timestamp.today() ExampleFollowing is the code import pandas as pd import datetime # set the timestamp in Pandas timestamp = pd.Timestamp(datetime.datetime(2021, 10, 10)) # display the Timestamp print("Timestamp: ", timestamp) # display the day from given timestamp print("Day Name:", timestamp.day_name()) # getting the current date and time res = timestamp.today() # display the ...
Read MorePython Pandas - Convert given Timestamp to Period
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 MoreProgram to find ex in an efficient way in Python
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 MoreProgram to count number of common divisors of two numbers in Python
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 ...
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