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Calculated Shard: 80 (from laksa083)

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curl -X POST \
  'http://laksa080.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
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{"found_url":"https:\/\/www.statology.org\/seaborn-time-series\/","crawl_time":1775912293,"first_indexed_time":1628170841,"http_code":200,"src_unparsed":"org,statology!www,\/seaborn-time-series\/ s443","src_root_hash":"6121278954233998080","history_drop_reason":null,"meta_title":"How to Create a Time Series Plot in Seaborn","meta_descriptions":["This tutorial explains how to create a time series plot in seaborn, including several examples."],"attrs_boilerpipe_text":"A\ntime series plot\nis useful for visualizing data values that change over time.\nThis tutorial explains how to create various time series plots using the\nseaborn\ndata visualization package in Python.\nExample 1: Plot a Single Time Series\nThe following code shows how to plot a single time series in seaborn:\nimport\npandas\nas\npd\nimport\nmatplotlib.\npyplot\nas\nplt\nimport\nseaborn\nas\nsns\n#create DataFrame\ndf = pd.\nDataFrame\n({'\ndate\n': ['1\/2\/2021',\r\n                            '1\/3\/2021',\r\n                            '1\/4\/2021',\r\n                            '1\/5\/2021',\r\n                            '1\/6\/2021',\r\n                            '1\/7\/2021',\r\n                            '1\/8\/2021'],\r\n                   '\nvalue\n': [4, 7, 8, 13, 17, 15, 21]})\r\n\r\nsns.\nlineplot\n(x='\ndate\n', y='\nvalue\n', data=df)\nNote that we can also customize the colors, line width, line style, labels, and titles of the plot:\n#create time series plot with custom\naesthetics\nsns.\nlineplot\n(x='\ndate\n', y='\nvalue\n', data=df, linewidth=\n3\n, color='\npurple\n',\r\n             linestyle='\ndashed\n').\nset\n(title='\nTime Series Plot\n')\n#rotate x-axis labels by 15 degrees\nplt.\nxticks\n(rotation=\n15\n)\nExample 2: Plot Multiple Time Series\nThe following code shows how to plot multiple time series in seaborn:\nimport\npandas\nas\npd\nimport\nmatplotlib.\npyplot\nas\nplt\nimport\nseaborn\nas\nsns\n#create DataFrame\ndf = pd.\nDataFrame\n({'\ndate\n': ['1\/1\/2021',\r\n                            '1\/2\/2021',\r\n                            '1\/3\/2021',\r\n                            '1\/4\/2021',\r\n                            '1\/1\/2021',\r\n                            '1\/2\/2021',\r\n                            '1\/3\/2021',\r\n                            '1\/4\/2021'],\r\n                   '\nsales\n': [4, 7, 8, 13, 17, 15, 21, 28],\r\n                   '\ncompany\n': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B']})\n#plot multiple time series\nsns.\nlineplot\n(x='\ndate\n', y='\nsales\n', hue='\ncompany\n', data=df)\nNote that the\nhue\nargument is used to provide different colors to each line in the plot.\nAdditional Resources\nThe following tutorials explain how to perform other common functions in seaborn:\nHow to Add a Title to Seaborn Plots\nHow to Change Legend Font Size in Seaborn\nHow to Change the Position of a Legend in Seaborn\nHey there. My name is Zach Bobbitt. I have a Masters of Science degree in Applied Statistics and I’ve worked on machine learning algorithms for professional businesses in both healthcare and retail. I’m passionate about statistics, machine learning, and data visualization and I created Statology to be a resource for both students and teachers alike.  My goal with this site is to help you learn statistics through using simple terms, plenty of real-world examples, and helpful illustrations.","attrs_markdown":"[![Statology](https:\/\/www.statology.org\/wp-content\/uploads\/2024\/07\/StatologyLogo_OnWhite.png)](https:\/\/www.statology.org\/)\n\n- [About](https:\/\/www.statology.org\/about\/)\n- [Course](https:\/\/www.statology.org\/course-register\/)\n- [Basic Stats](https:\/\/www.statology.org\/tutorials\/)\n- [Machine Learning](https:\/\/www.statology.org\/machine-learning-tutorials\/)\n- [Software Tutorials]()\n  - [Excel](https:\/\/www.statology.org\/excel-guides\/)\n  - [Google Sheets](https:\/\/www.statology.org\/google-sheets-guides\/)\n  - [MongoDB](https:\/\/www.statology.org\/mongodb-guides\/)\n  - [MySQL](https:\/\/www.statology.org\/mysql-guides\/)\n  - [Power BI](https:\/\/www.statology.org\/power-bi-guides\/)\n  - [PySpark](https:\/\/www.statology.org\/pyspark-guides\/)\n  - [Python](https:\/\/www.statology.org\/python-guides\/)\n  - [R](https:\/\/www.statology.org\/r-guides\/)\n  - [SAS](https:\/\/www.statology.org\/sas-guides\/)\n  - [SPSS](https:\/\/www.statology.org\/spss-guides\/)\n  - [Stata](https:\/\/www.statology.org\/stata-guides\/)\n  - [TI-84](https:\/\/www.statology.org\/ti-84-guides\/)\n  - [VBA](https:\/\/www.statology.org\/vba-guides\/)\n- [Tools]()\n  - [Calculators](https:\/\/www.statology.org\/calculators\/)\n  - [Critical Value Tables](https:\/\/www.statology.org\/tables\/)\n  - [Glossary](https:\/\/www.statology.org\/glossary\/)\n\n# How to Create a Time Series Plot in Seaborn\nby [Zach Bobbitt](https:\/\/www.statology.org\/author\/admin\/)\n\nPublished on\n\n[Published on August 5, 2021](https:\/\/www.statology.org\/seaborn-time-series\/)\n\n***\nA **time series plot** is useful for visualizing data values that change over time.\n\nThis tutorial explains how to create various time series plots using the [seaborn](https:\/\/seaborn.pydata.org\/) data visualization package in Python.\n\n### **Example 1: Plot a Single Time Series**\nThe following code shows how to plot a single time series in seaborn:\n```\nimport pandas as pd import matplotlib.pyplot as plt import seaborn as sns #create DataFrame df = pd.DataFrame({'date': ['1\/2\/2021', '1\/3\/2021', '1\/4\/2021', '1\/5\/2021', '1\/6\/2021', '1\/7\/2021', '1\/8\/2021'], 'value': [4, 7, 8, 13, 17, 15, 21]}) sns.lineplot(x='date', y='value', data=df)\n```\n![](https:\/\/www.statology.org\/wp-content\/uploads\/2021\/08\/timeseries1.png)\n\nNote that we can also customize the colors, line width, line style, labels, and titles of the plot:\n```\n#create time series plot with custom aesthetics sns.lineplot(x='date', y='value', data=df, linewidth=3, color='purple', linestyle='dashed').set(title='Time Series Plot') #rotate x-axis labels by 15 degrees plt.xticks(rotation=15)\n```\n![Time series plot in seaborn](https:\/\/www.statology.org\/wp-content\/uploads\/2021\/08\/timeseries2.png)\n\n### **Example 2: Plot Multiple Time Series**\nThe following code shows how to plot multiple time series in seaborn:\n```\nimport pandas as pd import matplotlib.pyplot as plt import seaborn as sns #create DataFrame df = pd.DataFrame({'date': ['1\/1\/2021', '1\/2\/2021', '1\/3\/2021', '1\/4\/2021', '1\/1\/2021', '1\/2\/2021', '1\/3\/2021', '1\/4\/2021'], 'sales': [4, 7, 8, 13, 17, 15, 21, 28], 'company': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B']}) #plot multiple time series sns.lineplot(x='date', y='sales', hue='company', data=df)\n```\n![](https:\/\/www.statology.org\/wp-content\/uploads\/2021\/08\/timeseries3.png)\n\nNote that the **hue** argument is used to provide different colors to each line in the plot.\n\n### **Additional Resources**\nThe following tutorials explain how to perform other common functions in seaborn:\n\n[How to Add a Title to Seaborn Plots](https:\/\/www.statology.org\/seaborn-title\/)  \n [How to Change Legend Font Size in Seaborn](https:\/\/www.statology.org\/seaborn-legend-size\/)  \n [How to Change the Position of a Legend in Seaborn](https:\/\/www.statology.org\/seaborn-legend-position\/)\n\nPosted in [Programming](https:\/\/www.statology.org\/category\/programming\/)\n\n![](https:\/\/www.statology.org\/wp-content\/uploads\/2023\/08\/statology_gravatar-scaled.jpg)\n\n[Zach Bobbitt](https:\/\/www.statology.org\/author\/admin\/)\n\nHey there. My name is Zach Bobbitt. I have a Masters of Science degree in Applied Statistics and I’ve worked on machine learning algorithms for professional businesses in both healthcare and retail. I’m passionate about statistics, machine learning, and data visualization and I created Statology to be a resource for both students and teachers alike. My goal with this site is to help you learn statistics through using simple terms, plenty of real-world examples, and helpful illustrations.\n\n## Post navigation\n[Prev When Should You Use Correlation? (Explanation & Examples)](https:\/\/www.statology.org\/when-to-use-correlation\/)\n\n[Next 5 Examples of Time Series Analysis in Real Life](https:\/\/www.statology.org\/time-series-analysis-real-life-examples\/)\n### Leave a Reply [Cancel reply](https:\/\/www.statology.org\/seaborn-time-series\/#respond)\n\n## Search\n## ABOUT STATOLOGY\n[![](https:\/\/www.statology.org\/wp-content\/uploads\/2023\/08\/statology_circle-150x150.png)](https:\/\/www.statology.org\/about\/)Statology makes learning statistics easy by explaining topics in simple and straightforward ways. Our team of writers have over 40 years of experience in the fields of Machine Learning, AI and Statistics. **[Learn more about our team here.](https:\/\/www.statology.org\/about\/)**\n\n## Featured Posts\n- [![](https:\/\/www.statology.org\/wp-content\/uploads\/2026\/04\/sta-chugani-distance-metric-clustering-decision-tree-feature-150x150.png)](https:\/\/www.statology.org\/choosing-the-right-distance-metric-for-clustering-a-decision-tree-approach\/)\n  [Choosing the Right Distance Metric for Clustering: A Decision Tree Approach](https:\/\/www.statology.org\/choosing-the-right-distance-metric-for-clustering-a-decision-tree-approach\/)\n  April 10, 2026\n- [![](https:\/\/www.statology.org\/wp-content\/uploads\/2026\/04\/sta-chugani-textblob-python-simple-visual-feature-150x150.png)](https:\/\/www.statology.org\/how-to-analyze-word-frequencies-with-textblob-in-python\/)\n  [How to Analyze Word Frequencies with TextBlob in Python](https:\/\/www.statology.org\/how-to-analyze-word-frequencies-with-textblob-in-python\/)\n  April 9, 2026\n- [![](https:\/\/www.statology.org\/wp-content\/uploads\/2026\/04\/sta-chugani-raw-data-insight-copilot-microsoft-stack-feature-150x150.png)](https:\/\/www.statology.org\/from-raw-data-to-insight-with-copilot-across-the-microsoft-stack\/)\n  [From Raw Data to Insight with Copilot Across the Microsoft Stack](https:\/\/www.statology.org\/from-raw-data-to-insight-with-copilot-across-the-microsoft-stack\/)\n  April 9, 2026\n- [![](https:\/\/www.statology.org\/wp-content\/uploads\/2026\/04\/sta-chugani-textblob-python-simple-visual-feature-150x150.png)](https:\/\/www.statology.org\/how-to-measure-subjectivity-in-text-with-textblob-in-python\/)\n  [How to Measure Subjectivity in Text with TextBlob in Python](https:\/\/www.statology.org\/how-to-measure-subjectivity-in-text-with-textblob-in-python\/)\n  April 8, 2026\n- [![](https:\/\/www.statology.org\/wp-content\/uploads\/2026\/04\/sta-chugani-textblob-python-simple-visual-feature-150x150.png)](https:\/\/www.statology.org\/how-to-calculate-sentiment-polarity-scores-with-textblob-in-python\/)\n  [How to Calculate Sentiment Polarity Scores with TextBlob in Python](https:\/\/www.statology.org\/how-to-calculate-sentiment-polarity-scores-with-textblob-in-python\/)\n  April 7, 2026\n- [![](https:\/\/www.statology.org\/wp-content\/uploads\/2026\/04\/sta-chugani-getting-started-textblob-python-feature-150x150.png)](https:\/\/www.statology.org\/getting-started-with-textblob-in-python\/)\n  [Getting Started with TextBlob in Python](https:\/\/www.statology.org\/getting-started-with-textblob-in-python\/)\n  April 7, 2026\n\n## Statology Study\n**[Statology Study](https:\/\/www.statology.org\/study-register\/)** is the ultimate online statistics study guide that helps you study and practice all of the core concepts taught in any elementary statistics course and makes your life so much easier as a student.\n\n[![statology study](https:\/\/www.statology.org\/wp-content\/uploads\/2021\/01\/statology_study_cover1.png)](https:\/\/www.statology.org\/study-register\/)\n\n## Introduction to Statistics Course\n**Introduction to Statistics** is our premier online video course that teaches you all of the topics covered in introductory statistics. **[Get started](https:\/\/www.statology.org\/course-register\/)**  with our course today.\n\n[![introduction to statistics](https:\/\/www.statology.org\/wp-content\/uploads\/2022\/06\/Intro-to-Statistics-Cover-Photo-2.jpg)](https:\/\/www.statology.org\/course-register\/)\n\n## You Might Also Like\n- [How to Change Font Size in Seaborn Plots (With Examples)](https:\/\/www.statology.org\/seaborn-font-size\/)\n- [How to Create a Grouped Bar Plot in Seaborn (Step-by-Step)](https:\/\/www.statology.org\/seaborn-grouped-bar-plot\/)\n- [How to Create an Area Chart in Seaborn (With Examples)](https:\/\/www.statology.org\/seaborn-area-chart\/)\n- [How to Create a Stacked Bar Plot in Seaborn (Step-by-Step)](https:\/\/www.statology.org\/seaborn-stacked-bar-plot\/)\n- [How to Plot a Time Series in Matplotlib (With Examples)](https:\/\/www.statology.org\/matplotlib-time-series\/)\n- [Seaborn: How to Create a Boxplot of Multiple Columns](https:\/\/www.statology.org\/seaborn-boxplot-multiple-columns\/)\n\n© 2025 [Statology](https:\/\/www.statology.org\/) \\| [Privacy Policy](https:\/\/www.guidingtechmedia.com\/privacy\/) \\| [Terms of Use](https:\/\/www.guidingtechmedia.com\/terms-of-use\/)\n\nWisteria Theme by [WPFriendship](https:\/\/wpfriendship.com\/ \"WPFriendship\") ⋅ Powered by [WordPress](https:\/\/wordpress.org\/ \"WordPress\")","attrs_readable_markdown":"***\nA **time series plot** is useful for visualizing data values that change over time.\n\nThis tutorial explains how to create various time series plots using the [seaborn](https:\/\/seaborn.pydata.org\/) data visualization package in Python.\n\n### **Example 1: Plot a Single Time Series**\nThe following code shows how to plot a single time series in seaborn:\n```\nimport pandas as pd import matplotlib.pyplot as plt import seaborn as sns #create DataFrame df = pd.DataFrame({'date': ['1\/2\/2021', '1\/3\/2021', '1\/4\/2021', '1\/5\/2021', '1\/6\/2021', '1\/7\/2021', '1\/8\/2021'], 'value': [4, 7, 8, 13, 17, 15, 21]}) sns.lineplot(x='date', y='value', data=df)\n```\n![](https:\/\/www.statology.org\/wp-content\/uploads\/2021\/08\/timeseries1.png)\n\nNote that we can also customize the colors, line width, line style, labels, and titles of the plot:\n```\n#create time series plot with custom aesthetics sns.lineplot(x='date', y='value', data=df, linewidth=3, color='purple', linestyle='dashed').set(title='Time Series Plot') #rotate x-axis labels by 15 degrees plt.xticks(rotation=15)\n```\n![Time series plot in seaborn](https:\/\/www.statology.org\/wp-content\/uploads\/2021\/08\/timeseries2.png)\n\n### **Example 2: Plot Multiple Time Series**\nThe following code shows how to plot multiple time series in seaborn:\n```\nimport pandas as pd import matplotlib.pyplot as plt import seaborn as sns #create DataFrame df = pd.DataFrame({'date': ['1\/1\/2021', '1\/2\/2021', '1\/3\/2021', '1\/4\/2021', '1\/1\/2021', '1\/2\/2021', '1\/3\/2021', '1\/4\/2021'], 'sales': [4, 7, 8, 13, 17, 15, 21, 28], 'company': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B']}) #plot multiple time series sns.lineplot(x='date', y='sales', hue='company', data=df)\n```\n![](https:\/\/www.statology.org\/wp-content\/uploads\/2021\/08\/timeseries3.png)\n\nNote that the **hue** argument is used to provide different colors to each line in the plot.\n\n### **Additional Resources**\nThe following tutorials explain how to perform other common functions in seaborn:\n\n[How to Add a Title to Seaborn Plots](https:\/\/www.statology.org\/seaborn-title\/)  \n [How to Change Legend Font Size in Seaborn](https:\/\/www.statology.org\/seaborn-legend-size\/)  \n [How to Change the Position of a Legend in Seaborn](https:\/\/www.statology.org\/seaborn-legend-position\/)\n\n![](https:\/\/www.statology.org\/wp-content\/uploads\/2023\/08\/statology_gravatar-scaled.jpg)\n\nHey there. My name is Zach Bobbitt. I have a Masters of Science degree in Applied Statistics and I’ve worked on machine learning algorithms for professional businesses in both healthcare and retail. I’m passionate about statistics, machine learning, and data visualization and I created Statology to be a resource for both students and teachers alike. My goal with this site is to help you learn statistics through using simple terms, plenty of real-world examples, and helpful illustrations.","meta_canonical":null}

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Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	0 months ago
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URL	https://www.statology.org/seaborn-time-series/
Last Crawled	2026-04-11 12:58:13 (1 day ago)
First Indexed	2021-08-05 13:40:41 (4 years ago)
HTTP Status Code	200
Meta Title	How to Create a Time Series Plot in Seaborn
Meta Description	This tutorial explains how to create a time series plot in seaborn, including several examples.
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Boilerpipe Text	A time series plot is useful for visualizing data values that change over time. This tutorial explains how to create various time series plots using the seaborn data visualization package in Python. Example 1: Plot a Single Time Series The following code shows how to plot a single time series in seaborn: import pandas as pd import matplotlib. pyplot as plt import seaborn as sns #create DataFrame df = pd. DataFrame ({' date ': ['1/2/2021', '1/3/2021', '1/4/2021', '1/5/2021', '1/6/2021', '1/7/2021', '1/8/2021'], ' value ': [4, 7, 8, 13, 17, 15, 21]}) sns. lineplot (x=' date ', y=' value ', data=df) Note that we can also customize the colors, line width, line style, labels, and titles of the plot: #create time series plot with custom aesthetics sns. lineplot (x=' date ', y=' value ', data=df, linewidth= 3 , color=' purple ', linestyle=' dashed '). set (title=' Time Series Plot ') #rotate x-axis labels by 15 degrees plt. xticks (rotation= 15 ) Example 2: Plot Multiple Time Series The following code shows how to plot multiple time series in seaborn: import pandas as pd import matplotlib. pyplot as plt import seaborn as sns #create DataFrame df = pd. DataFrame ({' date ': ['1/1/2021', '1/2/2021', '1/3/2021', '1/4/2021', '1/1/2021', '1/2/2021', '1/3/2021', '1/4/2021'], ' sales ': [4, 7, 8, 13, 17, 15, 21, 28], ' company ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B']}) #plot multiple time series sns. lineplot (x=' date ', y=' sales ', hue=' company ', data=df) Note that the hue argument is used to provide different colors to each line in the plot. Additional Resources The following tutorials explain how to perform other common functions in seaborn: How to Add a Title to Seaborn Plots How to Change Legend Font Size in Seaborn How to Change the Position of a Legend in Seaborn Hey there. My name is Zach Bobbitt. I have a Masters of Science degree in Applied Statistics and I’ve worked on machine learning algorithms for professional businesses in both healthcare and retail. I’m passionate about statistics, machine learning, and data visualization and I created Statology to be a resource for both students and teachers alike. My goal with this site is to help you learn statistics through using simple terms, plenty of real-world examples, and helpful illustrations.
Markdown	[![Statology](https://www.statology.org/wp-content/uploads/2024/07/StatologyLogo_OnWhite.png)](https://www.statology.org/) - [About](https://www.statology.org/about/) - [Course](https://www.statology.org/course-register/) - [Basic Stats](https://www.statology.org/tutorials/) - [Machine Learning](https://www.statology.org/machine-learning-tutorials/) - [Software Tutorials]() - [Excel](https://www.statology.org/excel-guides/) - [Google Sheets](https://www.statology.org/google-sheets-guides/) - [MongoDB](https://www.statology.org/mongodb-guides/) - [MySQL](https://www.statology.org/mysql-guides/) - [Power BI](https://www.statology.org/power-bi-guides/) - [PySpark](https://www.statology.org/pyspark-guides/) - [Python](https://www.statology.org/python-guides/) - [R](https://www.statology.org/r-guides/) - [SAS](https://www.statology.org/sas-guides/) - [SPSS](https://www.statology.org/spss-guides/) - [Stata](https://www.statology.org/stata-guides/) - [TI-84](https://www.statology.org/ti-84-guides/) - [VBA](https://www.statology.org/vba-guides/) - [Tools]() - [Calculators](https://www.statology.org/calculators/) - [Critical Value Tables](https://www.statology.org/tables/) - [Glossary](https://www.statology.org/glossary/) # How to Create a Time Series Plot in Seaborn by [Zach Bobbitt](https://www.statology.org/author/admin/) Published on [Published on August 5, 2021](https://www.statology.org/seaborn-time-series/) * A time series plot is useful for visualizing data values that change over time. This tutorial explains how to create various time series plots using the [seaborn](https://seaborn.pydata.org/) data visualization package in Python. ### Example 1: Plot a Single Time Series The following code shows how to plot a single time series in seaborn: ``` import pandas as pd import matplotlib.pyplot as plt import seaborn as sns #create DataFrame df = pd.DataFrame({'date': ['1/2/2021', '1/3/2021', '1/4/2021', '1/5/2021', '1/6/2021', '1/7/2021', '1/8/2021'], 'value': [4, 7, 8, 13, 17, 15, 21]}) sns.lineplot(x='date', y='value', data=df) ``` ![](https://www.statology.org/wp-content/uploads/2021/08/timeseries1.png) Note that we can also customize the colors, line width, line style, labels, and titles of the plot: ``` #create time series plot with custom aesthetics sns.lineplot(x='date', y='value', data=df, linewidth=3, color='purple', linestyle='dashed').set(title='Time Series Plot') #rotate x-axis labels by 15 degrees plt.xticks(rotation=15) ``` ![Time series plot in seaborn](https://www.statology.org/wp-content/uploads/2021/08/timeseries2.png) ### Example 2: Plot Multiple Time Series The following code shows how to plot multiple time series in seaborn: ``` import pandas as pd import matplotlib.pyplot as plt import seaborn as sns #create DataFrame df = pd.DataFrame({'date': ['1/1/2021', '1/2/2021', '1/3/2021', '1/4/2021', '1/1/2021', '1/2/2021', '1/3/2021', '1/4/2021'], 'sales': [4, 7, 8, 13, 17, 15, 21, 28], 'company': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B']}) #plot multiple time series sns.lineplot(x='date', y='sales', hue='company', data=df) ``` ![](https://www.statology.org/wp-content/uploads/2021/08/timeseries3.png) Note that the hue argument is used to provide different colors to each line in the plot. ### Additional Resources The following tutorials explain how to perform other common functions in seaborn: [How to Add a Title to Seaborn Plots](https://www.statology.org/seaborn-title/) [How to Change Legend Font Size in Seaborn](https://www.statology.org/seaborn-legend-size/) [How to Change the Position of a Legend in Seaborn](https://www.statology.org/seaborn-legend-position/) Posted in [Programming](https://www.statology.org/category/programming/) ![](https://www.statology.org/wp-content/uploads/2023/08/statology_gravatar-scaled.jpg) [Zach Bobbitt](https://www.statology.org/author/admin/) Hey there. My name is Zach Bobbitt. I have a Masters of Science degree in Applied Statistics and I’ve worked on machine learning algorithms for professional businesses in both healthcare and retail. I’m passionate about statistics, machine learning, and data visualization and I created Statology to be a resource for both students and teachers alike. My goal with this site is to help you learn statistics through using simple terms, plenty of real-world examples, and helpful illustrations. ## Post navigation [Prev When Should You Use Correlation? 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Readable Markdown	* A time series plot is useful for visualizing data values that change over time. This tutorial explains how to create various time series plots using the [seaborn](https://seaborn.pydata.org/) data visualization package in Python. ### Example 1: Plot a Single Time Series The following code shows how to plot a single time series in seaborn: ``` import pandas as pd import matplotlib.pyplot as plt import seaborn as sns #create DataFrame df = pd.DataFrame({'date': ['1/2/2021', '1/3/2021', '1/4/2021', '1/5/2021', '1/6/2021', '1/7/2021', '1/8/2021'], 'value': [4, 7, 8, 13, 17, 15, 21]}) sns.lineplot(x='date', y='value', data=df) ``` ![](https://www.statology.org/wp-content/uploads/2021/08/timeseries1.png) Note that we can also customize the colors, line width, line style, labels, and titles of the plot: ``` #create time series plot with custom aesthetics sns.lineplot(x='date', y='value', data=df, linewidth=3, color='purple', linestyle='dashed').set(title='Time Series Plot') #rotate x-axis labels by 15 degrees plt.xticks(rotation=15) ``` ![Time series plot in seaborn](https://www.statology.org/wp-content/uploads/2021/08/timeseries2.png) ### Example 2: Plot Multiple Time Series The following code shows how to plot multiple time series in seaborn: ``` import pandas as pd import matplotlib.pyplot as plt import seaborn as sns #create DataFrame df = pd.DataFrame({'date': ['1/1/2021', '1/2/2021', '1/3/2021', '1/4/2021', '1/1/2021', '1/2/2021', '1/3/2021', '1/4/2021'], 'sales': [4, 7, 8, 13, 17, 15, 21, 28], 'company': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B']}) #plot multiple time series sns.lineplot(x='date', y='sales', hue='company', data=df) ``` ![](https://www.statology.org/wp-content/uploads/2021/08/timeseries3.png) Note that the hue argument is used to provide different colors to each line in the plot. ### Additional Resources** The following tutorials explain how to perform other common functions in seaborn: [How to Add a Title to Seaborn Plots](https://www.statology.org/seaborn-title/) [How to Change Legend Font Size in Seaborn](https://www.statology.org/seaborn-legend-size/) [How to Change the Position of a Legend in Seaborn](https://www.statology.org/seaborn-legend-position/) ![](https://www.statology.org/wp-content/uploads/2023/08/statology_gravatar-scaled.jpg) Hey there. My name is Zach Bobbitt. I have a Masters of Science degree in Applied Statistics and I’ve worked on machine learning algorithms for professional businesses in both healthcare and retail. I’m passionate about statistics, machine learning, and data visualization and I created Statology to be a resource for both students and teachers alike. My goal with this site is to help you learn statistics through using simple terms, plenty of real-world examples, and helpful illustrations.
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