Return a Sorted Copy of the Index in Descending Order in Python Pandas

AmitDiwan
Updated on 14-Oct-2021 06:43:12

354 Views

To return a sorted copy of the index, use the index.sort_values() method in Pandas. The parameter ascending is set False.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([50, 10, 70, 95, 110, 90, 30]) Display the Pandas index −print("Pandas Index...", index)Sort index values. To sort values in Descending order, set the "ascending" parameter to "False" −print("Sort the index values in descending order...", index.sort_values(ascending=False))ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([50, 10, 70, 95, 110, 90, 30]) # Display the Pandas index print("Pandas Index...", index) ... Read More

Return NumPy Timedelta64 Object with ns Precision in Python Pandas

AmitDiwan
Updated on 14-Oct-2021 06:41:05

396 Views

To return a numpy.timedelta64 object with ns precision, use the timedelta.to_timedelta64() method.At first, import the required libraries −import pandas as pdCreate a Timedelta object −timedelta = pd.Timedelta('2 days 11 hours 22 min 25 s 50 ms 45 ns') Display the Timedelta −print("Timedelta...", timedelta)Return a numpy.timedelta64 object with nanoseconds precision −timedelta.to_timedelta64() 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 11 hours 22 min 25 s 50 ms 45 ns') # display the Timedelta print("Timedelta...", timedelta) # ... Read More

Convert Pandas Timedelta Object into Python Timedelta Object

AmitDiwan
Updated on 14-Oct-2021 06:39:43

727 Views

To convert a pandas Timedelta object into a Python timedelta object, use the timedelta.to_pytimedelta() method.At first, import the required libraries −import pandas as pdCreate a Timedelta object −timedelta = pd.Timedelta('2 days 11 hours 22 min 25 s 50 ms 45 ns') Display the Timedelta −print("Timedelta...", timedelta)Convert a pandas Timedelta object into a python timedelta object. Any nanosecond resolution will be lost −timedelta.to_pytimedelta() 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 11 hours 22 min 25 s 50 ms ... Read More

Return a Sorted Copy of the Index in Python Pandas

AmitDiwan
Updated on 14-Oct-2021 06:39:01

189 Views

To return a sorted copy of the index, use the index.sort_values() method in Pandas. At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([50, 10, 70, 95, 110, 90, 30]) Display the Pandas index −print("Pandas Index...", index)Sort index values. By default, sorts in Ascending order −print("Sort the index values...", index.sort_values()) ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([50, 10, 70, 95, 110, 90, 30]) # Display the Pandas index print("Pandas Index...", index) # Return the number of elements in the Index print("Number of elements in ... Read More

Round Timedelta with Daily Frequency in Python Pandas

AmitDiwan
Updated on 14-Oct-2021 06:37:40

217 Views

To round the Timedelta with specified resolution, use the timestamp.round() method. Set the daily frequency resolution using the freq parameter with 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 object −timedelta = pd.Timedelta('2 days 11 hours 22 min 25 s 50 ms 45 ns') Display the Timedelta −print("Timedelta...", timedelta)Return the rounded Timestamp with daily frequency. Here, the specified resolution is set using the "freq" parameter −timedelta.round(freq='D') ExampleFollowing is the code −import pandas as pd # TimeDeltas is Python’s standard datetime library uses a ... Read More

Round Timedelta with Seconds Frequency in Python Pandas

AmitDiwan
Updated on 14-Oct-2021 06:36:26

2K+ Views

To round the Timedelta with specified resolution, use the timestamp.round() method. Set the seconds frequency resolution using the freq parameter with value ‘s’.At first, import the required libraries −import pandas as pdCreate a Timedelta object −timedelta = pd.Timedelta('1 days 11 hours 22 min 25 s 50 ms 45 ns') Display the Timedelta −print("Timedelta...", timedelta)Return the rounded Timestamp with seconds frequency. Here, the specified resolution is set using the "freq" parameter: −timedelta.round(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('1 ... Read More

Find Indexes for Values to Maintain Order in Pandas Index

AmitDiwan
Updated on 14-Oct-2021 06:36:13

431 Views

To find indexes where values passed as an array should be inserted to maintain order in Pandas index, use the index.searchsorted() method.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([10, 20, 30, 40, 50]) Display the Pandas index −print("Pandas Index...", index)Searchsorted − set the values to insert like an array and get the exact index positions where these values should be placed −print("The exact positions where the values should be placed?...", index.searchsorted([35, 60]))ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([10, 20, 30, 40, 50]) # ... Read More

Round Timedelta with Minutely Frequency in Python Pandas

AmitDiwan
Updated on 14-Oct-2021 06:34:28

215 Views

To round the Timedelta with specified resolution, use the timestamp.round() method. Set the minutely frequency resolution using the freq parameter with 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 object −timedelta = pd.Timedelta('2 days 10 hours 45 min 20 s 35 ms 55 ns') Display the Timedelta −print("Timedelta...", timedelta)Return the rounded Timestamp with minutely frequency. Here, the specified resolution is set using the "freq" parameter. −timedelta.round(freq='T') ExampleFollowing is the code −import pandas as pd # TimeDeltas is Python’s standard datetime library uses a ... Read More

Find Indices for Element Insertion in Pandas Index

AmitDiwan
Updated on 14-Oct-2021 06:32:44

189 Views

To Find indices where elements should be inserted to maintain order in Pandas Index, use the index.searchsorted() method.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([10, 20, 30, 40, 50]) Display the Pandas index −print("Pandas Index...", index)Searchsorted: set the value to insert and get the exact index position where it should be placed −print("The exact positions where the element should be placed?...", index.searchsorted(45))ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([10, 20, 30, 40, 50]) # Display the Pandas index print("Pandas Index...", index) # Return ... Read More

Round Timedelta with Hourly Frequency in Python Pandas

AmitDiwan
Updated on 14-Oct-2021 06:30:38

2K+ Views

To round the Timedelta with specified resolution, use the timestamp.round() method. Set the hourly frequency resolution using the freq parameter with 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('2 days 10 hours 45 min 20 s 35 ms 55 ns')Display the Timedeltaprint("Timedelta...", timedelta)Return the rounded Timestamp with hourly frequency. Here, the specified resolution is set using the "freq" parametertimedelta.round(freq='H')ExampleFollowing is the code import pandas as pd # TimeDeltas is Python’s standard datetime library uses a different representation timedelta’s # create ... Read More

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