

In [22]:

    
import plotly.plotly as py
import plotly.graph_objs as go



In [23]:

    
# Create random data with numpy
import numpy as np

Simple Scatter Plot



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N = 100
random_x = np.random.randn(N)
random_y = np.random.randn(N)



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# Create a trace
trace = go.Scatter(
    x = random_x,
    y = random_y,
    mode = 'markers'
)



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data = [trace]



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# Plot and embed in Jupyter notebook!
py.iplot(data, filename='examples/basic-scatter')









    Out[27]:

Line Scatter Plot



In [14]:

    
N = 100
random_x = np.linspace(0, 1, N)
random_y0 = np.random.randn(N)+5
random_y1 = np.random.randn(N)
random_y2 = np.random.randn(N)-5



In [15]:

    
# Create traces
trace0 = go.Scatter(
    x = random_x,
    y = random_y0,
    mode = 'markers',
    name = 'markers'
)
trace1 = go.Scatter(
    x = random_x,
    y = random_y1,
    mode = 'lines+markers',
    name = 'lines+markers'
)
trace2 = go.Scatter(
    x = random_x,
    y = random_y2,
    mode = 'lines',
    name = 'lines'
)



In [16]:

    
data = [trace0, trace1, trace2]
py.iplot(data, filename='examples/multiple-trace-scatter')









    Out[16]:

Style Scatter Plot



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N = 500



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trace0 = go.Scatter(
    x = np.random.randn(N),
    y = np.random.randn(N)+2,
    name = 'Above',
    mode = 'markers',
    marker = dict(
        size = 10,
        color = 'rgba(152, 0, 0, .8)',
        line = dict(
            width = 2,
            color = 'rgb(0, 0, 0)'
        )
    )
)



In [30]:

    
trace1 = go.Scatter(
    x = np.random.randn(N),
    y = np.random.randn(N)-2,
    name = 'Below',
    mode = 'markers',
    marker = dict(
        size = 10,
        color = 'rgba(255, 182, 193, .9)',
        line = dict(
            width = 2,
        )
    )
)



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data = [trace0, trace1]



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layout = dict(title = 'Styled Scatter',
              yaxis = dict(zeroline = False),
              xaxis = dict(zeroline = False)
             )



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fig = dict(data=data, layout=layout)



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py.iplot(fig, filename='examples/styled-scatter')









    Out[34]:



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trace1 = go.Scatter(
    y = np.random.randn(500),
    mode='markers',
    marker=dict(
        size=16,
        color = np.random.randn(500), #set color equal to a variable
        colorscale='Viridis',
        showscale=True
    )
)
data = [trace1]



In [38]:

    
py.iplot(data, filename='examples/scatter-plot-with-colorscale')









    Out[38]:



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