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...intermediate-eds-textbook/01-time-series/2019-11-19-time-series-landing-page.md
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--- | ||
layout: single | ||
category: courses | ||
title: "Time Series Data in Python" | ||
permalink: /courses/use-data-open-source-python/use-time-series-data-in-python/ | ||
week-landing: 1 | ||
modified: 2020-09-11 | ||
week: 1 | ||
sidebar: | ||
nav: | ||
comments: false | ||
author_profile: false | ||
course: "intermediate-earth-data-science-textbook" | ||
module-type: 'session' | ||
--- | ||
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{% include toc title="Section One" icon="file-text" %} | ||
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<div class="notice--info" markdown="1"> | ||
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## <i class="fa fa-ship" aria-hidden="true"></i> Section One - Time Series Data in Python with Pandas | ||
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In section one of this textbook, you will learn how to work with and plot time series data using the **pandas** package for **Python**. | ||
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## <i class="fa fa-graduation-cap" aria-hidden="true"></i> Learning Objectives | ||
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After completing this section of the textbook, you will be able to: | ||
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* Handle different date and time fields and formats using **pandas**. | ||
* Set a `datetime` field as an index when importing data into a **pandas** dataframe. | ||
* Subset time series data by date and timeframe (e.g. daily, monthly, yearly). | ||
* Handle missing data values using **pandas**. | ||
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</div> | ||
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{% include textbook-section-toc.html %} | ||
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