A complete example

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...