Making Plots and Histograms#

Once a table has been uploaded to Firefly, FireflyClient.show_chart() will display a scatter plot. The x and y parameters can be set to use names of columns in the table, or to arithmetic expressions that combine table columns.

trace1 = dict(tbl_id='2mass-tbl', x='tables::j_m',
              y='tables::h_m-k_m', mode='markers', type='scatter',
              marker=dict(size=4))

 layout1 = dict(title='2MASS color-mag',
                xaxis=dict(title='J'), yaxis=dict(title='H - K'))

 fc.show_chart(layout=layout1, data=[trace1])

A histogram can be displayed with FireflyClient.show_chart():

trace2 = dict(type='fireflyHistogram',
              name='j_m',
              marker=dict(color='rgba(153, 51, 153, 0.8)'),
              firefly=dict(tbl_id='2mass-tbl',
                           options=dict(algorithm='fixedsizeBins',
                                        fixedBinSizeSelection='numBins',
                                        numBins=30,
                                        columnOrExpr='j_m')))

layout_hist = dict(title='Photometry histogram',
                 xaxis=dict(title='j_m (mag)'),
                 yaxis=dict(title='Number'))

fc.show_chart(layout=layout_hist, data=[trace2])

Both plot types include options for log scaling as well as other settings.

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