Data.search

Data.search(xcol=None, value=None, columns=None, accuracy=0.0)

Search the numerica data part of the file for lines that match and returns the corresponding rows.

Parameters:

datafile (Data) – Data object to work with if not being used as a bound method.

Keyword Arguments:

• xcol (index types, None) – a Search Column Index. If None (default), use the current setas.x

• value (float, tuple, list or callable, None) – Value to look for

• columns (index or array of indices or None (default)) – columns of data to return - none represents all columns.

• accuracy (float) – Uncertainty to accept when testing equalities

Returns:

ndarray – numpy array of matching rows or column values depending on the arguments.

Note

The value is interpreted as follows:

• a float looks for an exact match

• a list is a list of exact matches

• an array or list of booleans (index like Numpy does)

• a tuple should contain a (min,max) value.

• A callable object should have accept a float and an array representing the value of the search col for the the current row and the entire row.

• None opens an interactive span selector in a plot window.