To round the DateTimeIndex with milliseconds frequency, use the DateTimeIndex.round() method. For milliseconds frequency, use the freq parameter with value ‘ms’.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 and frequency as s i.e. seconds −datetimeindex = pd.date_range('2021-09-29 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='28s')Round operation on ... Read More

To round the DateTimeIndex with seconds frequency, use the DateTimeIndex.round() method. For seconds frequency, use the freq parameter with value ‘S’.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 and frequency as s i.e. seconds −datetimeindex = pd.date_range('2021-09-29 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='28s')Round operation on ... Read More

We will plot a line grapg for Pandas DataFrame using the plot(). At first, import the required libraries −import pandas as pd import matplotlib.pyplot as pltCreate a DataFrame −dataFrame = pd.DataFrame(    {       "Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'], "Reg_Price": [2000, 2500, 2800, 3000, 3200, 3500], ... Read More

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

To extract month number from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.month property.At first, import the required libraries −import pandas as pdDatetimeIndex with period 6 and frequency as M i.e. month. The timezone is Australia/Sydney −datetimeindex = pd.date_range('2021-09-24 02:35:55', periods=6, tz='Australia/Sydney', freq='M')Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Get the month ... Read More

To extract year from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.year property.At first, import the required libraries −import pandas as pdDatetimeIndex with period 6 and frequency as Y i.e. years. The timezone is Australia/Sydney −datetimeindex = pd.date_range('2021-09-24 02:35:55', periods=6, tz='Australia/Sydney', freq='Y')Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Get the year −print("Getting ... Read More

To create a datetime, we will use the date_range(). The periods and the time zone will also be set with the frequency. At first, import the required libraries −import pandas as pdDatetimeIndex with period 8 and frequency as M i.e. months. The timezone is Australia/Sydney −datetime = pd.date_range('2021-09-24 02:35:55', periods=8, ... Read More

To return vector of label values using level name in the MultiIndex, use the MultiIndex.get_level_values() method in Pandas.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects −multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')], names=['One', 'Two'])Display the MultiIndex −print("The MultiIndex...", multiIndex) Get level ... Read More

To return vector of label values using integer position of the level in the MultiIndex, use the MultiIndex.get_level_values() method in Pandas. Set the level as an argument.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects −multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')], ... Read More

To return vector of label values for requested level in a MultiIndex, use the multiIndex.get_level_values() method. Set the level name as an argument.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects −multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')], names=['One', 'Two'])Display the MultiIndex ... Read More