flopy.utils.observationfile module

class CsvFile(csvfile, delimiter=',', deletechars='', replace_space='')

Bases: object

Class for reading csv based output files

Parameters:

• csvfile (str) – csv file name

• delimiter (str) – optional delimiter for the csv or formatted text file, defaults to “,”

• deletechars (str) – optional string containing characters that should be deleted from the column names, defaults to “”

• replace_space (str) – optional string containing the character that will be used to replace the space with in any column names, defaults to “”

property nobs

Method to get the number of observations

Return type:

int

property obsnames

Method to get the observation names

Return type:

list

static read_csv(fobj, dtype, delimiter=',', deletechars='', replace_space='')

Parameters:

• fobj (file object) – open text file object to read

• dtype (np.dtype) –

• delimiter (str) – optional delimiter for the csv or formatted text file, defaults to “,”

• deletechars (str) – optional string containing characters that should be deleted from the column names, defaults to “”

• replace_space (str) – optional string containing the character that will be used to replace the space with in any column names, defaults to “”

Return type:

np.recarray

class HydmodObs(filename, verbose=False, hydlbl_len=20)

Bases: ObsFiles

HydmodObs Class - used to read binary MODFLOW HYDMOD package output

Parameters:

• filename (str) – Name of the hydmod output file

• verbose (boolean) – If true, print additional information to to the screen during the extraction. (default is False)

• hydlbl_len (int) – Length of hydmod labels. (default is 20)

Return type:

None

class Mf6Obs(filename, verbose=False, isBinary='auto')

Bases: ObsFiles

Mf6Obs Class - used to read ascii and binary MODFLOW6 observation output

Parameters:

• filename (str) – Name of the hydmod output file

• verbose (boolean) – If true, print additional information to to the screen during the extraction. (default is False)

• isBinary (str, bool) – default is “auto”, code will attempt to automatically check if file is binary. User can change this to True or False if the auto check fails to work

Return type:

None

class ObsFiles

Bases: FlopyBinaryData

get_data(idx=None, obsname=None, totim=None)

Get data from the observation file.

Parameters:

• idx (int) – The zero-based record number. The first record is record 0. If idx is None and totim are None, data for all simulation times are returned. (default is None)

• obsname (string) – The name of the observation to return. If obsname is None, all observation data are returned. (default is None)

• totim (float) – The simulation time to return. If idx is None and totim are None, data for all simulation times are returned. (default is None)

Returns:

data – Array has size (ntimes, nitems). totim is always returned. nitems is 2 if idx or obsname is not None or nobs+1.

Return type:

numpy record array

Notes

If both idx and obsname are None, will return all of the observation data.

Examples

>>> hyd = HydmodObs("my_model.hyd")
>>> ts = hyd.get_data()

get_dataframe(start_datetime='1-1-1970', idx=None, obsname=None, totim=None, timeunit='D')

Get pandas dataframe with the incremental and cumulative water budget items in the hydmod file.

Parameters:

• start_datetime (str) – If start_datetime is passed as None, the rows are indexed on totim. Otherwise, a DatetimeIndex is set. (default is 1-1-1970).

• idx (int) – The zero-based record number. The first record is record 0. If idx is None and totim are None, a dataframe with all simulation times is returned. (default is None)

• obsname (string) – The name of the observation to return. If obsname is None, all observation data are returned. (default is None)

• totim (float) – The simulation time to return. If idx is None and totim are None, a dataframe with all simulation times is returned. (default is None)

• timeunit (string) – time unit of the simulation time. Valid values are ‘S’econds, ‘M’inutes, ‘H’ours, ‘D’ays, ‘Y’ears. (default is ‘D’).

Returns:

out – Pandas dataframe of selected data.

Return type:

pandas dataframe

Notes

If both idx and obsname are None, will return all of the observation data as a dataframe.

Examples

>>> hyd = HydmodObs("my_model.hyd")
>>> df = hyd.get_dataframes()

get_nobs()

Get the number of observations in the file

Returns:

out – A tupe with the number of records and number of flow items in the file. The number of flow items is non-zero only if swrtype=’flow’.

Return type:

tuple of int

get_ntimes()

Get the number of times in the file

Returns:

out – The number of simulation times (totim) in binary file.

Return type:

int

get_obsnames()

Get a list of observation names in the file

Returns:

out – List of observation names in the binary file. totim is not included in the list of observation names.

Return type:

list of strings

get_times()

Get a list of unique times in the file

Returns:

out – List contains unique simulation times (totim) in binary file.

Return type:

list of floats

class SwrObs(filename, precision='double', verbose=False)

Bases: ObsFiles

Read binary SWR observations output from MODFLOW SWR Process observation files

Parameters:

• filename (string) – Name of the cell budget file

• precision (string) – ‘single’ or ‘double’. Default is ‘double’.

• verbose (bool) – Write information to the screen. Default is False.

Notes

Examples

>>> import flopy
>>> so = flopy.utils.SwrObs('mymodel.swr.obs')

get_reduced_pumping(f, structured=True)

Method to read reduced pumping from a list file or an external reduced pumping observation file

Parameters:

• f (str) – file name

• structured (bool) – boolean flag to indicate if model is Structured or USG model. Defaults to True (structured grid).

Returns:

np.recarray

Return type:

recarray of reduced pumping records.

get_selection(data, names)

Parameters:

• data (numpy recarray) – recarray of data to make a selection from

• names (string or list of strings) – column names to return

Returns:

out – recarray with selection

Return type:

numpy recarray