Plot international migrations from 2010 - 2018 through all states

pop.py

state = states["State"]
international_2010 = states["INTERNATIONAL_MIG_2010"]
international_2011 = states["INTERNATIONAL_MIG_2011"]
international_2012 = states["INTERNATIONAL_MIG_2012"]
international_2013 = states["INTERNATIONAL_MIG_2013"]
international_2014 = states["INTERNATIONAL_MIG_2014"]
international_2015 = states["INTERNATIONAL_MIG_2015"]
international_2016 = states["INTERNATIONAL_MIG_2016"]
international_2017 = states["INTERNATIONAL_MIG_2017"]
international_2018 = states["INTERNATIONAL_MIG_2018"]

trace0 = go.Scatter(
    x = state,
    y = international_2010,
    mode = "lines",
    name = "International Migration 2010"
)

trace1 = go.Scatter(
    x = state,
    y = international_2011,
    mode = "lines",
    name = "International Migration 2011"
)

trace2 = go.Scatter(
    x = state,
    y = international_2012,
    mode = "lines",
    name = "International Migration 2012"
)

trace3 = go.Scatter(
    x = state,
    y = international_2013,
    mode = "lines",
    name = "International Migration 2013"
)

trace4 = go.Scatter(
    x = state,
    y = international_2014,
    mode = "lines",
    name = "International Migration 2014"
)

trace5 = go.Scatter(
    x = state,
    y = international_2015,
    mode = "lines",
    name = "International Migration 2015"
)

trace6 = go.Scatter(
    x = state,
    y = international_2016,
    mode = "lines",
    name = "International Migration 2016"
)

trace7 = go.Scatter(
    x = state,
    y = international_2017,
    mode = "lines",
    name = "International Migration 2017"
)

trace8 = go.Scatter(
    x = state,
    y = international_2018,
    mode = "lines",
    name = "International Migration 2018"
)

data = [trace0,trace1, trace2, trace3, trace4,trace5, trace6, trace7,trace8]

layout = go.Layout(
    title = "International Migration 2010 - 2018",
     xaxis=dict(
        title='US States',
        tickmode='linear'),
     yaxis=dict(
        title='Internation Migration')
        
)
fig = go.Figure(data = data, layout = layout)
fig.show()