crunchflow.output.timeseries.TimeSeries

class crunchflow.output.timeseries.TimeSeries(tsfile, folder='.')

The timeseries class for working with CrunchFlow time series output files.

Attributes:

coordstuple of int: x, y and z coordinates of the time series
timeunitstr: time unit used in the CrunchFlow input
unitstr: Concentration units included in the file. Automatically set to the default CrunchFlow concentration units (mol/kgw)
specieslist of str: list of aqueous species in the file
datandarray of float: Numpy array of all data. First col is the time step and remaining cols are species in the same order as self.species list
dfdataframe of float: Pandas dataframe of all data. Index is the time step and columns are the aqueous species

Methods

convert_mgL(database=’datacom.dbs’, folder=’.’)	Convert time series concentrations from mol/kgw to mg/L (ppm).
plot(species, units=’mg/L’, kwargs)**	Plot the time series of one or more species.

Examples

>>> ts = TimeSeries('Well1-1.txt')
>>> ts.convert_mgL()
>>> calcium = ts.df['Ca++']
>>> ts.plot('Ca++')

convert_mgL(database='datacom.dbs', folder='.', warnings=True)

Convert time series concentrations from mol/kgw to mg/L (ppm). Note that this assumes that 1 kg water = 1 L water.

Parameters:

databasestr: name of the CrunchFlow database. The default is ‘datacom.dbs’
folderstr: path to the database. The default is current directory.
warningsbool: whether to print warnings for species not found in the database.

Returns:

plot(species, units='mg/L', **kwargs)

Plot the time series of one or more species.

Parameters:

speciesstr or list of str: Either single species or list of species to be plotted
unitsstr: Concentration units to use for plotting. The default is ‘mg/L’
**kwargsdict: keyword arguments passed to plt.subplots (e.g., figsize)

Returns: