To get further acquainted with Matplotlib functions, let us plot a multiline plot with axes, labels, title, and legend configured in one single snippet.
In this example, we take real-world data from the World Bank on agriculture. As the world population continues to grow, food security continues to be an important global issue. Let us have a look at the production data of a few major crops in the recent decade by plotting a multiline plot with the following code:
Datasource: https://data.oecd.org/agroutput/crop-production.htm OECD (2017), Crop production (indicator). doi: 10.1787/49a4e677-en (Accessed on 25 December 2017) # Import relevant modulesimportpandasaspdimportmatplotlib.pyplotasplt# Import datasetcrop_prod = pd.read_csv('OECD-THND_TONNES.txt',delimiter='\t') years = crop_prod[crop_prod['Crop']=='SOYBEAN']['Year'] rice = crop_prod[crop_prod['Crop']=='RICE']['Value'] wheat = crop_prod[crop_prod['Crop']=='WHEAT']['Value'] maize = crop_prod[crop_prod['Crop']=='MAIZE...