Course Content
Time Series Essentials: Understanding Features
Time Series Essentials: Understanding Features
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
: The resampling rule, which defines the new frequency of the data. This can be a string orpandas
offset, such as'D'
for daily,'H'
for hourly,'M'
for monthly, etc.;how
: The aggregation function to use when resampling. This can be a string, such as'mean'
for the mean of the data,'sum'
for the sum of the data, or a custom function;axis
: The axis along which to resample the data. Typically, this is set to 0 for rows;closed
: The side of the interval to treat as closed. This can be'left'
,'right'
, or'None'
;- label: The label to use for the new data. This can be 'left', 'right', or None;
convention
: The convention to use when resampling. This can be'start'
or'end'
;kind
: The type of resampling. This can be'timestamp'
,'period'
, orNone
;loffset
: The offset to use when resampling. This can be a string or a timedelta object;base
: The base of the offset when resampling. This is used for irregular intervals;on
: The column to use when resampling. This is used for multi-level data;level
: The level to use when resampling. This is used for multi-level data.
Task
- Resample to monthly frequency and get the mean of it;
- 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!
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Section 1. Chapter 8
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