<jupyter_start><jupyter_text>**geom_line()** connects points in order of the variable on the x-axis.<jupyter_code>ggplot(data) + geom_point(aes(x='x', y='y', color='x'), alpha=0.7, size=4) + \
    scale_color_discrete() + \
    theme(legend_position='none') + \
    geom_line(aes(x='x', y='y'), linetype=3)<jupyter_output><empty_output><jupyter_text>**geom_path()** connects observations in the order how they appear in data.<jupyter_code>ggplot(data) + geom_point(aes(x='x', y='y', color='x'), alpha=0.7, size=4) + \
    scale_color_discrete() + \
    theme(legend_position='none') + \
    geom_path(aes(x='x', y='y'), size=0.7, linetype='dotted')<jupyter_output><empty_output><jupyter_text>Another example to demonstrate the difference between geom_path() and geom_line().<jupyter_code>a = [5, 1, 1, 5, 5, 2, 2, 4, 4, 3]
b = [5, 5, 1, 1, 4, 4, 2, 2, 3, 3]

snail = pd.DataFrame({'x': a, 'y': b})
ggplot() + geom_path(data=snail, mapping=aes(x='x', y='y'), size=2, alpha=0.7)
ggplot() + geom_line(data=snail, mapping=aes(x='x', y='y'), size=2, alpha=0.7)<jupyter_output><empty_output>
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