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Joing multiple datasets for grouping in the graph key
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If you want to group datasets in the graph key, e.g., to compare simulation
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results with measurement data ... or some approximate results with results from
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a more detailed calculation, you can pass a list of datasets to the
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`graph.data.join` class.
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When doing so, you have to assign unique names to the corresponding datasets.
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In the example, we have used `x_a` and `y_a` as well as `x_b` and
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`y_b` as names. Subsequently, one has to tell the graph style which data
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columns—identified by the given name—it has to plot. This can be done
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by inserting `graph.style.pos` instances before the respective graph style. By
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passing a dictionary to the `usenames` argument, one specifies the
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mapping from the data columns to the corresponding graph axes `x`, `y`, `x2`,
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! When using the standard names `x`, `y`, etc. for the data columns, as is done
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in most cases, PyX does insert the `graph.style.pos` instance mapping those
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data columns to the axis with the same name, automatically.