{"id":167,"date":"2017-12-29T16:02:43","date_gmt":"2017-12-29T16:02:43","guid":{"rendered":"https:\/\/fcpython.com\/?p=167"},"modified":"2020-12-18T20:09:26","modified_gmt":"2020-12-18T20:09:26","slug":"scatter-plots-crosshairs-in-matplotlib","status":"publish","type":"post","link":"https:\/\/fcpython.com\/visualisation\/scatter-plots-crosshairs-in-matplotlib","title":{"rendered":"Scatter Plots & Crosshairs in Matplotlib"},"content":{"rendered":"
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Across Python’s many visualisation libraries, you will find several ways to create scatter plots. Matplotlib, being one of the fundamental visualisation libraries, offers perhaps the simplest way to do so. In one line, we will be able to create scatter plots that show the relationship between two variables. It also offers easy ways to customise these charts, through adding crosshairs, text, colour and more.<\/p>\n

This article will plot goals for and against from a season, taking you through the initial creation of the chart, then some customisation that Matplotlib offers. Import the modules and data and off we go.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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<\/span>import<\/span> numpy<\/span> as<\/span> np<\/span>\r\nimport<\/span> pandas<\/span> as<\/span> pd<\/span>\r\nimport<\/span> matplotlib.pyplot<\/span> as<\/span> plt<\/span>\r\n%<\/span>matplotlib<\/span> inline\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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<\/span>table<\/span> =<\/span> pd<\/span>.<\/span>read_csv<\/span>(<\/span>"..\/..\/Data\/1617table.csv"<\/span>)<\/span>\r\ntable<\/span>.<\/span>head<\/span>()<\/span>\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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