Time Series Processing with Pandas: Difference between revisions
Jump to navigation
Jump to search
| Line 8: | Line 8: | ||
=Load a Time Series= | =Load a Time Series= | ||
Assuming the data comes from a CSV file whose first column, labeled "date", contains timestamp-formatted strings, and the second column contains values corresponding to those timestamps, this is how the data is loaded and turned into a [[ | Assuming the data comes from a CSV file whose first column, labeled "date", contains timestamp-formatted strings, and the second column contains values corresponding to those timestamps, this is how the data is loaded and turned into a [[Pandas_Series#Overview|Pandas Series]]. | ||
The content of the CSV file should be similar to: | |||
<syntaxhighlight lang='csv'> | |||
</syntaxhighlight> | |||
Revision as of 19:01, 8 October 2023
Internal
Overview
This article provides hints on how time series can be processed with Pandas.
Load a Time Series
Assuming the data comes from a CSV file whose first column, labeled "date", contains timestamp-formatted strings, and the second column contains values corresponding to those timestamps, this is how the data is loaded and turned into a Pandas Series.
The content of the CSV file should be similar to: