# PyX — Example: graphs/function.py

## Plotting a function graph

from pyx import * g = graph.graphxy(width=8) g.plot(graph.data.function("y(x)=sin(x)/x", min=-15, max=15)) g.writeEPSfile("function") g.writePDFfile("function") g.writeSVGfile("function")

### Description

Here, we explain how to plot the graph of a real-valued mathematical function of a single real parameter.

As in the previous example, we first create a `graph.graphxy`

instance passing the width as argument. We then pass a `graph.data.function`

instance to the `plot`

method of the graph. As first argument, we pass the function in the form "y(x) = f(x)". Here, the left-hand side of the equation defines which parameter is independent (here: `x`

) and which one is dependent (here: `y`

). We also need to inform PyX about the range of the independent variable. This is done by passing the parameters `min`

and `max`

.

In order to increase the resolution of the function graph, you can use the parameter `points`

of the `graph.data.function`

class to increase the number of sampling points from its default value of `100`

.

Note that the default graph style for function data is `graph.style.line`

since PyX assumes a continuous x-range.

You only need to pass the `min`

and `max`

parameters to the `graph.data.function`

class, if PyX cannot figure out an axis range by itself. Thus, an alternative way to achieve the above result would look like

g = graph.graphxy(width=8, x=graph.axis.linear(min=-15, max=15)) g.plot(graph.data.function("y(x)=sin(x)/x"))

Here, we explicitely define an x-axis range by passing an appropriate argument to the `x`

parameter of the `graph.graphxy`

class.

For PyX it does not matter, whether you plot a function of a parameter `x`

or a parameter `y`

. Thus, you may as well write

g.plot(graph.data.function("x(y)=sin(y)/y", min=-15, max=15))

to obtain a plot where the y-coordinate is the independent one.