How To Visualise Sydney’s Temperature Change Using Matplotlib

I believe one of the main current events you have read about must be <a href="https://www.google.com/search?q=australian+bushfire&rlz=1C5CHFA_enAU739AU739&oq=australian+bushfire&aqs=chrome..69i57j35i39l2j0l4j69i64.3751j1j9&sourceid=chrome&ie=UTF-8" rel="noopener ugc nofollow" target="_blank">the Australian Bushfire Crisis</a>. The devastating disaster has affected more than 10 million hectares of land, which is compatible to the land area of Portugal, and an estimated 1 billion wild mammals, birds and reptiles have been killed (Source <a href="https://www.nature.com/articles/d41586-020-00043-2" rel="noopener ugc nofollow" target="_blank">here</a>). Increasing evidence has shown the links between climate change/global warming and this year’s bushfire, such as extreme temperature (1.5ºC above average) and prolonged drought (Source <a href="https://www.theguardian.com/australia-news/2020/jan/02/2019-australia-hottest-year-record-temperature-15c-above-average-temperature" rel="noopener ugc nofollow" target="_blank">here</a>). Reading these numbers in isolation, you may not see how climate change has evolved over time. From a perspective of data visualisation, instead of using a single value to describe the changing scale, it may be more appealing and informative to use a time series graph, which can show the dynamic trend of a variable along a large scale of time period. I, therefore, took this chance to practice <code>ax.xxx()</code> method in <code>matplotlib</code> using Sydney's long-term temperature data. If you want to know what is <code>ax.xxx()</code> method in <code>matplotlib</code>, please take a look at <a href="https://towardsdatascience.com/plt-xxx-or-ax-xxx-that-is-the-question-in-matplotlib-8580acf42f44" rel="noopener" target="_blank">my last post</a>. It will help you to understand this post and further to learn <code>matplotlib</code>. <a href="https://towardsdatascience.com/how-to-visualise-sydneys-temperature-change-from-1859-to-2019-using-matplotlib-79b2dc7308c2">Website</a>