Create histograms
This guide shows you how to use the histPlot
method to create histograms.
The histogram is used to show how frequently different data values occur. The data is divided into logical intervals (or bins) , which are then aggregated and charted with vertical bars. Unlike bar charts (category plots), bars in histograms do not have spaces between them unless there is a gap in the data.
Data sourcing
From a table
When data is sourced from a table, the following syntax can be used:
.histPlot(seriesName, source, valueCol, nbins).show()
histPlot
is the method used to create a histogram.seriesName
is the name (as a string) you want to use to identify the series on the chart itself.source
is the table that holds the data you want to plot.valueCol
is the name of the column (as a string) of data to be used for the X values.nbins
is the number of intervals to use in the chart.show
tells Deephaven to draw the plot in the console.
source = newTable(
intCol("Values", 1, 2, 2, 3, 3, 3, 4, 4, 5)
)
result = histPlot("Histogram Values", source, "Values", 5)
.chartTitle("Histogram Of Values")
.show()
- source
- result
The histPlot
method assumes you want to plot the entire range of values in the dataset. However, you can also set the minimum and maximum values of the range using rangeMin
and rangeMax
respectively:
.histPlot(seriesName, source, valueCol, rangeMin, rangeMax, nbins).show()
histPlot
is the method used to create a histogram.seriesName
is the name (as a string) you want to use to identify the series on the chart itself.source
is the table that holds the data you want to plot.valueCol
is the name of the column (as a string) of data to be used for the X values.rangeMin
is the minimum value (as a double) of the range to be included.rangeMax
is the maximum value (as a double) of the range to be included.nbins
is the number of intervals to use in the chart.show
tells Deephaven to draw the plot in the console.
source = newTable(
intCol("Values", 1, 2, 2, 3, 3, 3, 4, 4, 5)
)
result = histPlot("Histogram Values", source, "Values", 2, 4, 5)
.chartTitle("Histogram Of Values")
.show()
- source
- result
From an array
When data is sourced from an array, the following syntax can be used:
.histPlot(seriesName, x, nbins).show()
histPlot
is the method used to create a histogram.seriesName
is the name (as a string) you want to use to identify the series on the chart itself.x
is the array containing the data to be used for the X values.nbins
is the number of intervals to use in the chart.show
tells Deephaven to draw the plot in the console.
source = [1, 2, 2, 3, 3, 3, 4, 4, 5] as int[]
result = histPlot("Histogram Values", source, 5)
.chartTitle("Histogram Of Values")
.show()
- result
Just like with a Deephaven table, you can also set the minimum and maximum values of the range using rangeMin
and rangeMax
respectively:
.histPlot(seriesName, x, rangeMin, rangeMax, nbins).show()
histPlot
is the method used to create a histogram.seriesName
is the name (as a string) you want to use to identify the series on the chart itself.x
is the array containing the data to be used for the X values.rangeMin
is the minimum value (as a double) of the range to be included.rangeMax
is the maximum value (as a double) of the range to be included.nbins
is the number of the intervals to use in the chart.show
tells Deephaven to draw the plot in the console.
source = [1, 2, 2, 3, 3, 3, 4, 4, 5] as int[]
result = histPlot("Histogram Values", source, 2, 4, 5)
.chartTitle("Histogram Of Values")
.show()
- result