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Let's take an example to see how to get the same effect as MatLab's surf(x, y, z, c) in Matplotlib. steps −Set the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure.Add an 'ax' to the figure as part of a subplot arrangement.Create r, u, v, x, y and z data points using Numpy.Create a surface plot.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.add_subplot(projection='3d') r = 0.05 u, v ... Read More
To return the count of increments applied on the BusinessHour offset, use the BusinessHour.n property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-1-1 01:55:30')Create the BusinessHour Offset. Here, "start" is the start time of your custom business hour in 24h format. The "end" is the end time of your custom business hour in 24h format −bhOffset = pd.tseries.offsets.BusinessHour(start="09:30", end = "18:00", n = 8)Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bhOffset)Return the count of increments on the given BusinessHour object −print("The count of increments on the BusinessHour object..", ... Read More
To return the rule code applied on the given BusinessHour object, use the BusinessHour.rule_code property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-1-1 01:55:30') Create the BusinessHour Offset. BusinessHour is the DateOffset subclass −bhOffset = pd.tseries.offsets.BusinessHour(start="09:30", end = "18:00")Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bhOffset) Return the rule code of the frequency applied on the given BusinessHour Offset −print("The rule code of the BusinessHour object..", bhOffset.rule_code)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-1-1 01:55:30') # ... Read More
To check whether the BusinessHour Offset has been normalized or not, use the BusinessHour.normalize property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-1-1 01:55:30') Create the BusinessHour Offset. We have normalized the BusinessHour using the "normalize" parameter −bhOffset = pd.tseries.offsets.BusinessHour(start="09:30", end = "18:00", normalize=True)Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bhOffset) Check whether the BusinessHour Offset is normalized or not −print("The BusinessHour Offset is normalized ?", bhOffset.normalize)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-1-1 01:55:30') # ... Read More
To return the name of the frequency applied on the given BusinessHour offset object, use the BusinessHour.name property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-1-1 01:55:30') Create the BusinessHour Offset. BusinessHour is the DateOffset subclass −bhOffset = pd.tseries.offsets.BusinessHour(start="09:30", end = "18:00")Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bhOffset) Return the name of the frequency applied on the given BusinessHour object −print("The name of the frequency on the BusinessHour object..", bhOffset.name)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = ... Read More
To display the keyword arguments applied on the given BusinessHour object, use the BusinessHour.kwds property in Pandas.At first, import the required libraries −import pandas as pdCreate the BusinessHour Offset. Here, "start" is the start time of your custom business hour in 24h format. The "end" is the end time of your custom business hour in 24h format −bhOffset = pd.tseries.offsets.BusinessHour(start="09:30", end = "18:00") Set the timestamp object in Pandas −timestamp = pd.Timestamp('2021-1-1 01:55:30')Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bhOffset) Display the keyword arguments −print("Keyword arguments on the given BusinessHour Offset...", bhOffset.kwds)ExampleFollowing is the code −import pandas as pd ... Read More
To return frequency applied on the given BusinessHour Offset object as a string, use the BusinessHour.freqstr property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-1-1 01:55:30') Create the BusinessHour Offset −bhOffset = pd.tseries.offsets.BusinessHour(start="09:30", end = "18:00")Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bhOffset) Return frequency applied on the given BusinessHour Offset object as a string −print("Frequency applied on the given BusinessHour Offset object...", bhOffset.freqstr)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-1-1 01:55:30') # Display the Timestamp ... Read More
To create a BusinessHour offset, use the pd.tseries.offsets.BusinessHour() method in Pandas. At first, import the required libraries −import pandas as pdCreate the BusinessHour Offset. BusinessHour is the DateOffset subclass. Here, "start" is the start time of your custom business hour in 24h format. The "end" is the end time of your custom business hour in 24h format −bhOffset = pd.tseries.offsets.BusinessHour(start="09:30", end = "18:00") Set the timestamp object in Pandas −timestamp = pd.Timestamp('2021-1-1 01:55:30')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + bhOffset) ExampleFollowing is the code −import pandas as pd # Set the ... Read More
To return the count of increments applied on the BusinessDay offset, use the BusinessDay.n property in Pandas.At first, import the required libraries −import datetime import pandas as pdSet the timestamp object in Pandas” −timestamp = pd.Timestamp('2021-10-30 01:55:02.000045') Create the BusinessDay Offset. BusinessDay is the DateOffset subclass −bdOffset = pd.tseries.offsets.BusinessDay(n = 6)Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bdOffset) Return the count of increments on the given BusinessDay object −print("The count of increments on the BusinessDay object..", bdOffset.n)ExampleFollowing is the code −import datetime import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-10-30 01:55:02.000045') ... Read More
To return the rule code applied on the given BusinessDay object, use the BusinessDay.rule_code property in Pandas.At first, import the required libraries −import datetime import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-30 01:55:02.000045') Create the BusinessDay Offset. BusinessDay is the DateOffset subclass −bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(hours = 8, minutes = 10))Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bdOffset) Return the rule code of the frequency applied on the given BusinessDay Offset −print("The rule code of the BusinessDay object..", bdOffset.rule_code)ExampleFollowing is the code −import datetime import pandas as pd # Set the timestamp object ... Read More