Course Content
Time Series Essentials
Resample
In Python, the resample() method is used to resample time series data to a different frequency. The method is typically used on a pandas DataFrame or Series with a time-based index, and it is available through the resample() attribute of the DataFrame or Series.
The basic syntax for the resample() method is as follows:
Where rule identigies the resampling rule, which defines the new frequency of the data. This can be a string or pandas offset, such as 'D' for daily, 'H' for hourly, 'M' for monthly, etc.
Task
- Resample to monthly frequency and get the mean of it using the
.mean()method. - Print the variable.
Congratulations on completing your time series project! Your hard work and dedication have paid off. I am impressed with the results and am sure that your efforts will be valuable to the team. Keep up the great work!
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
In Python, the resample() method is used to resample time series data to a different frequency. The method is typically used on a pandas DataFrame or Series with a time-based index, and it is available through the resample() attribute of the DataFrame or Series.
The basic syntax for the resample() method is as follows:
Where rule identigies the resampling rule, which defines the new frequency of the data. This can be a string or pandas offset, such as 'D' for daily, 'H' for hourly, 'M' for monthly, etc.
Task
- Resample to monthly frequency and get the mean of it using the
.mean()method. - Print the variable.
Congratulations on completing your time series project! Your hard work and dedication have paid off. I am impressed with the results and am sure that your efforts will be valuable to the team. Keep up the great work!
Switch to desktop for real-world practiceContinue from where you are using one of the options below