# Interest over time: python matplotlib

UA · 2004 to present · Web search

Values are relative search interest from 0 to 100, where 100 is the peak.

## Timeline (274 points, month resolution)

| Time | python matplotlib |
| --- | --- |
| Jan 2004 | 0 |
| Feb 2004 | 0 |
| Mar 2004 | 0 |
| Apr 2004 | 0 |
| May 2004 | 0 |
| Jun 2004 | 0 |
| Jul 2004 | 0 |
| Aug 2004 | 0 |
| Sep 2004 | 0 |
| Oct 2004 | 0 |
| Nov 2004 | 0 |
| Dec 2004 | 0 |
| Jan 2005 | 0 |
| Feb 2005 | 0 |
| Mar 2005 | 0 |
| Apr 2005 | 0 |
| May 2005 | 0 |
| Jun 2005 | 0 |
| Jul 2005 | 0 |
| Aug 2005 | 0 |
| Sep 2005 | 100 |
| Oct 2005 | 0 |
| Nov 2005 | 0 |
| Dec 2005 | 0 |
| Jan 2006 | 0 |
| Feb 2006 | 0 |
| Mar 2006 | 0 |
| Apr 2006 | 0 |
| May 2006 | 0 |
| Jun 2006 | 0 |
| Jul 2006 | 0 |
| Aug 2006 | 0 |
| Sep 2006 | 0 |
| Oct 2006 | 0 |
| Nov 2006 | 0 |
| Dec 2006 | 0 |
| Jan 2007 | 0 |
| Feb 2007 | 0 |
| Mar 2007 | 0 |
| Apr 2007 | 0 |
| May 2007 | 0 |
| Jun 2007 | 0 |
| Jul 2007 | 0 |
| Aug 2007 | 0 |
| Sep 2007 | 0 |
| Oct 2007 | 0 |
| Nov 2007 | 0 |
| Dec 2007 | 0 |
| Jan 2008 | 0 |
| Feb 2008 | 0 |
| Mar 2008 | 0 |
| Apr 2008 | 0 |
| May 2008 | 0 |
| Jun 2008 | 0 |
| Jul 2008 | 0 |
| Aug 2008 | 0 |
| Sep 2008 | 0 |
| Oct 2008 | 0 |
| Nov 2008 | 0 |
| Dec 2008 | 0 |
| Jan 2009 | 0 |
| Feb 2009 | 0 |
| Mar 2009 | 0 |
| Apr 2009 | 0 |
| May 2009 | 0 |
| Jun 2009 | 0 |
| Jul 2009 | 0 |
| Aug 2009 | 0 |
| Sep 2009 | 0 |
| Oct 2009 | 0 |
| Nov 2009 | 0 |
| Dec 2009 | 0 |
| Jan 2010 | 0 |
| Feb 2010 | 0 |
| Mar 2010 | 0 |
| Apr 2010 | 0 |
| May 2010 | 0 |
| Jun 2010 | 0 |
| Jul 2010 | 0 |
| Aug 2010 | 0 |
| Sep 2010 | 0 |
| Oct 2010 | 0 |
| Nov 2010 | 0 |
| Dec 2010 | 0 |
| Jan 2011 | 0 |
| Feb 2011 | 0 |
| Mar 2011 | 0 |
| Apr 2011 | 0 |
| May 2011 | 0 |
| Jun 2011 | 0 |
| Jul 2011 | 0 |
| Aug 2011 | 0 |
| Sep 2011 | 0 |
| Oct 2011 | 0 |
| Nov 2011 | 0 |
| Dec 2011 | 0 |
| Jan 2012 | 0 |
| Feb 2012 | 0 |
| Mar 2012 | 0 |
| Apr 2012 | 0 |
| May 2012 | 0 |
| Jun 2012 | 0 |
| Jul 2012 | 0 |
| Aug 2012 | 0 |
| Sep 2012 | 0 |
| Oct 2012 | 0 |
| Nov 2012 | 0 |
| Dec 2012 | 0 |
| Jan 2013 | 0 |
| Feb 2013 | 0 |
| Mar 2013 | 0 |
| Apr 2013 | 0 |
| May 2013 | 0 |
| Jun 2013 | 0 |
| Jul 2013 | 0 |
| Aug 2013 | 0 |
| Sep 2013 | 0 |
| Oct 2013 | 0 |
| Nov 2013 | 0 |
| Dec 2013 | 0 |
| Jan 2014 | 0 |
| Feb 2014 | 0 |
| Mar 2014 | 0 |
| Apr 2014 | 0 |
| May 2014 | 0 |
| Jun 2014 | 0 |
| Jul 2014 | 0 |
| Aug 2014 | 0 |
| Sep 2014 | 0 |
| Oct 2014 | 0 |
| Nov 2014 | 0 |
| Dec 2014 | 0 |
| Jan 2015 | 0 |
| Feb 2015 | 0 |
| Mar 2015 | 0 |
| Apr 2015 | 0 |
| May 2015 | 0 |
| Jun 2015 | 0 |
| Jul 2015 | 0 |
| Aug 2015 | 0 |
| Sep 2015 | 1 |
| Oct 2015 | 0 |
| Nov 2015 | 0 |
| Dec 2015 | 0 |
| Jan 2016 | 0 |
| Feb 2016 | 0 |
| Mar 2016 | 1 |
| Apr 2016 | 0 |
| May 2016 | 0 |
| Jun 2016 | 0 |
| Jul 2016 | 0 |
| Aug 2016 | 0 |
| Sep 2016 | 0 |
| Oct 2016 | 0 |
| Nov 2016 | 0 |
| Dec 2016 | 1 |
| Jan 2017 | 1 |
| Feb 2017 | 0 |
| Mar 2017 | 0 |
| Apr 2017 | 0 |
| May 2017 | 0 |
| Jun 2017 | 0 |
| Jul 2017 | 0 |
| Aug 2017 | 0 |
| Sep 2017 | 1 |
| Oct 2017 | 0 |
| Nov 2017 | 1 |
| Dec 2017 | 1 |
| Jan 2018 | 1 |
| Feb 2018 | 1 |
| Mar 2018 | 0 |
| Apr 2018 | 1 |
| May 2018 | 1 |
| Jun 2018 | 0 |
| Jul 2018 | 0 |
| Aug 2018 | 1 |
| Sep 2018 | 1 |
| Oct 2018 | 1 |
| Nov 2018 | 1 |
| Dec 2018 | 1 |
| Jan 2019 | 1 |
| Feb 2019 | 1 |
| Mar 2019 | 1 |
| Apr 2019 | 1 |
| May 2019 | 1 |
| Jun 2019 | 1 |
| Jul 2019 | 1 |
| Aug 2019 | 0 |
| Sep 2019 | 1 |
| Oct 2019 | 1 |
| Nov 2019 | 1 |
| Dec 2019 | 1 |
| Jan 2020 | 1 |
| Feb 2020 | 1 |
| Mar 2020 | 1 |
| Apr 2020 | 1 |
| May 2020 | 1 |
| Jun 2020 | 1 |
| Jul 2020 | 1 |
| Aug 2020 | 1 |
| Sep 2020 | 1 |
| Oct 2020 | 1 |
| Nov 2020 | 1 |
| Dec 2020 | 1 |
| Jan 2021 | 1 |
| Feb 2021 | 1 |
| Mar 2021 | 1 |
| Apr 2021 | 1 |
| May 2021 | 1 |
| Jun 2021 | 1 |
| Jul 2021 | 1 |
| Aug 2021 | 0 |
| Sep 2021 | 1 |
| Oct 2021 | 1 |
| Nov 2021 | 1 |
| Dec 2021 | 1 |
| Jan 2022 | 1 |
| Feb 2022 | 1 |
| Mar 2022 | 1 |
| Apr 2022 | 2 |
| May 2022 | 2 |
| Jun 2022 | 2 |
| Jul 2022 | 1 |
| Aug 2022 | 1 |
| Sep 2022 | 1 |
| Oct 2022 | 2 |
| Nov 2022 | 2 |
| Dec 2022 | 2 |
| Jan 2023 | 1 |
| Feb 2023 | 2 |
| Mar 2023 | 2 |
| Apr 2023 | 2 |
| May 2023 | 2 |
| Jun 2023 | 1 |
| Jul 2023 | 1 |
| Aug 2023 | 1 |
| Sep 2023 | 1 |
| Oct 2023 | 2 |
| Nov 2023 | 2 |
| Dec 2023 | 2 |
| Jan 2024 | 1 |
| Feb 2024 | 2 |
| Mar 2024 | 2 |
| Apr 2024 | 1 |
| May 2024 | 2 |
| Jun 2024 | 1 |
| Jul 2024 | 0 |
| Aug 2024 | 0 |
| Sep 2024 | 1 |
| Oct 2024 | 2 |
| Nov 2024 | 1 |
| Dec 2024 | 1 |
| Jan 2025 | 1 |
| Feb 2025 | 1 |
| Mar 2025 | 0 |
| Apr 2025 | 1 |
| May 2025 | 1 |
| Jun 2025 | 0 |
| Jul 2025 | 1 |
| Aug 2025 | 0 |
| Sep 2025 | 0 |
| Oct 2025 | 0 |
| Nov 2025 | 1 |
| Dec 2025 | 1 |
| Jan 2026 | 0 |
| Feb 2026 | 0 |
| Mar 2026 | 0 |
| Apr 2026 | 1 |
| May 2026 | 1 |
| Jun 2026 | 0 |
| Jul 2026 | 0 |
| Aug 2026 | 0 |
| Sep 2026 | 0 |
| Oct 2026 (partial) | 0 |

## Interest by region

| Place | python matplotlib |
| --- | --- |
| [Lviv Oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-46&date=all) | 100 |
| [Kyiv city](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-30&date=all) | 66 |
| [Sevastopol' city](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-40&date=all) | 66 |
| [Kharkiv Oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-63&date=all) | 60 |
| [Kyivs'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-32&date=all) | 46 |
| [Volyns'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-07&date=all) | 46 |
| [Chernivets'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-77&date=all) | 40 |
| [Sums'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-59&date=all) | 40 |
| [Vinnyts'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-05&date=all) | 40 |
| [Crimea](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-43&date=all) | 33 |
| [Dnipropetrovsk Oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-12&date=all) | 33 |
| [Ivano-Frankivs'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-26&date=all) | 33 |
| [Kirovohrads'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-35&date=all) | 33 |
| [Odessa Oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-51&date=all) | 33 |
| [Ternopil's'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-61&date=all) | 33 |
| [Zaporiz'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-23&date=all) | 33 |
| [Zhytomyrs'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-18&date=all) | 33 |
| [Cherkas'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-71&date=all) | 26 |
| [Khmel'nyts'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-68&date=all) | 26 |
| [Mykolaivs'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-48&date=all) | 26 |
| [Poltavs'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-53&date=all) | 26 |
| [Rivnens'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-56&date=all) | 26 |
| [Zakarpats'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-21&date=all) | 26 |
| [Chernihivs'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-74&date=all) | 20 |
| [Khersons'ka oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-65&date=all) | 20 |
| [Donetsk Oblast](https://trends.firecrawl.dev/explore.md?q=python+matplotlib&geo=UA-14&date=all) | 13 |

## Related searches for "python matplotlib"

### Top

1. [python matplotlib plot](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=UA&date=all): 100
2. [python matplotlib online](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+online&geo=UA&date=all): 22

### Rising

1. [python matplotlib plot](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=UA&date=all): Breakout
2. [python matplotlib online](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+online&geo=UA&date=all): Breakout

Compare: "python matplotlib". Observed 2026-10-16T18:39:38.426Z.