Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas Timestamp.round() function is used to round the given Timestamp to the specified resolution.
Syntax :Timestamp.round()
Parameters :
freq : a freq string indicating the rounding resolutionReturn : a new Timestamp rounded to the given resolution of freq
Example #1: Use Timestamp.round() function to round the given Timestamp to Daily time series frequency.
# importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp(year = 2011, month = 11, day = 21, hour = 10, second = 49, tz = 'US/Central') # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.round() function to round the given Timestamp object to Daily frequency.
# round to daily frequency ts.round(freq = 'D') |
Output :
As we can see in the output, the Timestamp.round() function has returned a Timestamp object having the time series frequency rounded to the desired resolution.
Example #2: Use Timestamp.round() function to round the given Timestamp to minutely time series frequency.
# importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp(year = 2009, month = 5, day = 31, hour = 4, second = 49, tz = 'Europe/Berlin') # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.round() function to round the given Timestamp object to minutely frequency.
# round to minutely frequency ts.round(freq = 'T') |
Output :
As we can see in the output, the Timestamp.round() function has returned a Timestamp object having the time series frequency rounded to the desired resolution.
