# Interest over time: python matplotlib plot

Japan · 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 plot |
| --- | --- |
| 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 | 0 |
| 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 | 0 |
| Oct 2015 | 0 |
| Nov 2015 | 0 |
| Dec 2015 | 0 |
| Jan 2016 | 0 |
| Feb 2016 | 0 |
| Mar 2016 | 0 |
| Apr 2016 | 27 |
| May 2016 | 26 |
| Jun 2016 | 31 |
| Jul 2016 | 27 |
| Aug 2016 | 0 |
| Sep 2016 | 41 |
| Oct 2016 | 0 |
| Nov 2016 | 66 |
| Dec 2016 | 45 |
| Jan 2017 | 38 |
| Feb 2017 | 48 |
| Mar 2017 | 22 |
| Apr 2017 | 40 |
| May 2017 | 28 |
| Jun 2017 | 40 |
| Jul 2017 | 43 |
| Aug 2017 | 0 |
| Sep 2017 | 34 |
| Oct 2017 | 54 |
| Nov 2017 | 56 |
| Dec 2017 | 60 |
| Jan 2018 | 53 |
| Feb 2018 | 66 |
| Mar 2018 | 44 |
| Apr 2018 | 66 |
| May 2018 | 54 |
| Jun 2018 | 57 |
| Jul 2018 | 63 |
| Aug 2018 | 64 |
| Sep 2018 | 46 |
| Oct 2018 | 60 |
| Nov 2018 | 68 |
| Dec 2018 | 42 |
| Jan 2019 | 39 |
| Feb 2019 | 55 |
| Mar 2019 | 57 |
| Apr 2019 | 50 |
| May 2019 | 72 |
| Jun 2019 | 59 |
| Jul 2019 | 39 |
| Aug 2019 | 35 |
| Sep 2019 | 65 |
| Oct 2019 | 68 |
| Nov 2019 | 83 |
| Dec 2019 | 66 |
| Jan 2020 | 61 |
| Feb 2020 | 60 |
| Mar 2020 | 78 |
| Apr 2020 | 78 |
| May 2020 | 57 |
| Jun 2020 | 65 |
| Jul 2020 | 57 |
| Aug 2020 | 66 |
| Sep 2020 | 60 |
| Oct 2020 | 64 |
| Nov 2020 | 45 |
| Dec 2020 | 43 |
| Jan 2021 | 68 |
| Feb 2021 | 47 |
| Mar 2021 | 46 |
| Apr 2021 | 27 |
| May 2021 | 42 |
| Jun 2021 | 47 |
| Jul 2021 | 70 |
| Aug 2021 | 29 |
| Sep 2021 | 49 |
| Oct 2021 | 57 |
| Nov 2021 | 63 |
| Dec 2021 | 47 |
| Jan 2022 | 76 |
| Feb 2022 | 77 |
| Mar 2022 | 43 |
| Apr 2022 | 65 |
| May 2022 | 67 |
| Jun 2022 | 99 |
| Jul 2022 | 67 |
| Aug 2022 | 74 |
| Sep 2022 | 56 |
| Oct 2022 | 61 |
| Nov 2022 | 77 |
| Dec 2022 | 74 |
| Jan 2023 | 100 |
| Feb 2023 | 63 |
| Mar 2023 | 61 |
| Apr 2023 | 68 |
| May 2023 | 49 |
| Jun 2023 | 44 |
| Jul 2023 | 51 |
| Aug 2023 | 56 |
| Sep 2023 | 44 |
| Oct 2023 | 50 |
| Nov 2023 | 46 |
| Dec 2023 | 53 |
| Jan 2024 | 39 |
| Feb 2024 | 58 |
| Mar 2024 | 45 |
| Apr 2024 | 36 |
| May 2024 | 42 |
| Jun 2024 | 32 |
| Jul 2024 | 45 |
| Aug 2024 | 40 |
| Sep 2024 | 38 |
| Oct 2024 | 45 |
| Nov 2024 | 42 |
| Dec 2024 | 34 |
| Jan 2025 | 22 |
| Feb 2025 | 25 |
| Mar 2025 | 23 |
| Apr 2025 | 0 |
| May 2025 | 22 |
| Jun 2025 | 20 |
| Jul 2025 | 34 |
| Aug 2025 | 21 |
| Sep 2025 | 0 |
| Oct 2025 | 0 |
| Nov 2025 | 28 |
| Dec 2025 | 19 |
| Jan 2026 | 29 |
| Feb 2026 | 0 |
| Mar 2026 | 0 |
| Apr 2026 | 0 |
| May 2026 | 0 |
| Jun 2026 | 0 |
| Jul 2026 | 0 |
| Aug 2026 | 0 |
| Sep 2026 | 0 |
| Oct 2026 (partial) | 7 |

## Interest by region

| Place | python matplotlib plot |
| --- | --- |
| [Kyoto Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-26&date=all) | 100 |
| [Ibaraki Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-08&date=all) | 80 |
| [Ishikawa Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-17&date=all) | 60 |
| [Kanagawa Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-14&date=all) | 60 |
| [Miyagi Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-04&date=all) | 60 |
| [Okinawa Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-47&date=all) | 60 |
| [Tokyo](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-13&date=all) | 60 |
| [Aichi Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-23&date=all) | 40 |
| [Chiba Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-12&date=all) | 40 |
| [Hyogo Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-28&date=all) | 40 |
| [Nara Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-29&date=all) | 40 |
| [Shiga Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-25&date=all) | 40 |
| [Tokushima Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-36&date=all) | 40 |
| [Yamanashi Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-19&date=all) | 40 |
| [Fukuoka Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-40&date=all) | 20 |
| [Fukushima Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-07&date=all) | 20 |
| [Gifu Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-21&date=all) | 20 |
| [Gunma Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-10&date=all) | 20 |
| [Hiroshima Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-34&date=all) | 20 |
| [Hokkaido Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-01&date=all) | 20 |
| [Iwate Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-03&date=all) | 20 |
| [Mie Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-24&date=all) | 20 |
| [Nagano Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-20&date=all) | 20 |
| [Niigata Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-15&date=all) | 20 |
| [Osaka Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-27&date=all) | 20 |
| [Saitama Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-11&date=all) | 20 |
| [Shizuoka Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-22&date=all) | 20 |
| [Tochigi Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-09&date=all) | 20 |
| [Toyama Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-16&date=all) | 20 |
| [Wakayama Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-30&date=all) | 20 |
| [Yamaguchi Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-35&date=all) | 20 |
| [Kumamoto Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-43&date=all) | 0 |
| [Okayama Prefecture](https://trends.firecrawl.dev/explore.md?q=python+matplotlib+plot&geo=JP-33&date=all) | 0 |

## Related searches for "python matplotlib plot"

### Top

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### Rising

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Compare: "python matplotlib plot". Observed 2026-10-16T20:54:55.273Z.