X ( NumericExpression) – Expression for x-axis (from a Hail table). y, bins = 10, range = (( 0, 1 ), None )) Parameters : If x_range or y_range are not provided, the function will do a pass through the data to determine X and y must both be a NumericExpression from the same Table. cumulative_histogram ( data, range = None, bins = 50, legend = None, title = None, normalize = True, log = False ) Ĭreate a cumulative histogram. ![]() Range ( Tuple) – Range of x values in the histogram.īins ( int) – Number of bins in the histogram.ī ot. histogram ( data, range = None, bins = 50, legend = None, title = None, log = False, interactive = False ) ĭata can be a Float64Expression, or the result of the hist() Interactive ( bool) – If True, return a handle to pass to bokeh.io.show().įigure ( ) – If not None, add density plot to figure. Log ( bool) – Plot the log10 of the bin counts. Smoothing ( float) – Degree of smoothing. smoothed_pdf ( data, k = 350, smoothing = 0.5, legend = None, title = None, log = False, interactive = False, figure = None ) pdf ( data, k = 1000, confidence = 5, legend = None, title = None, log = False, interactive = False ) ot. Log ( bool) – Whether or not the y-axis should be of type log.ī ot. Normalize ( bool) – Whether or not the cumulative data should be normalized. Legend ( str) – Label of data on the x-axis. K ( int) – Accuracy parameter (passed to approx_cdf()). Parameters :ĭata ( Struct or Float64Expression) – Sequence of data to plot. cdf ( data, k = 350, legend = None, title = None, normalize = True, log = False ) Ĭreate a cumulative density plot. ![]() Configure the Bokeh output state to generate output in notebook cells when bokeh.io.show() is called.
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