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:
rule: The resampling rule, which defines the new frequency of the data. This can be a string or
pandasoffset, such as
'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
- 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
kind: The type of resampling. This can be
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.
- Resample to monthly frequency and get the mean of it;
- Print the variable.
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