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:

```python
data.resample(rule)
```

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.


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In this project, we are going to understand what a Time Series is and which are its main features.

Time Series Essentials

Resample

Solution