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Using a logarithmic axis and defining the axis range and its label
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Sometimes, you have to visualize rather pathological funtions containing
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divergencies and/or varying over a large parameter range. This is best done
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using an appropriate axis. Here, we show a simple example how to do
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In order to change the properties of the graph axes, we have to create
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appropriate instances of an axis class and pass them as keyword arguments to
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the `graph.graphxy` constructor. A number of predefined axes is contained in
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the `graph.axis` module. Here, we use a linear (abbreviated as
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`graph.axis.lin`) and a logarithmic (abbreviated as `graph.axis.log`) axis. In
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both cases, we pass a minimal and maximal value for the axis range. Whereas for
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the x-axis this is not strictly necessary (we could as well tell the
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`graph.data.function` instance to emit data in a certain x-range), it is
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important for the y-axis because the function diverges for certain x values. If
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we do not set the y range manually, we would obtain a rather compressed display
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of the function in the y-direction, which, moreover, would strongly depend on
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the sampling points choosen by PyX along the x-direction. Since the function only
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diverges towards positive y-values, we only need to set the maximal value of
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the y-axis (using the `max`-argument). Of course, you can also fix the lower end
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of the axis range by providing a `min`-argument. In order to introduce the
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`title` keyword, we give names to the axes.
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! Note how PyX changes the way the x-axis is drawn. Instead of simple decimal
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numbers, an exponential notation is used. This happens automatically by
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default, if at least one of the values to be shown becomes 10,000 or bigger
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smaller than 0.001. This behaviour can be altered by using a different axis
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removed
examples/graphs/axis.txt
