lucharo

fig['layout'] = go.Layout(
  font = {'size' : 14},
  plot_bgcolor = 'white',
  xaxis = {'showline': True,
           'visible': True,
           'range': (0, data['Value'].max()),
           'title_text': 'Production Quantity (tonnes)' # title of the x axis
          },
  yaxis = {'showline': False, 
          'visible': True, # to show the title

lucharo

#1 Assign color to each unique item
from random import sample

colors = {item: 'rgb({}, {}, {})'.format(*sample(range(256), 3)) for item in data['Item'].unique()}
data['color'] = data['Item'].map(colors)

#2 Slice data, select earliest date available

##2.1 Select earliest year available 
frame1 = data[data['Year'] == data['Year'].min()]