watex property objects. It is composed of base classes that are inherited by methods implemented throughout the package. It also inferred properties to data objects.

class watex.property.BagoueNotes

Bases: object

A contest class about the Bagoue dataset.

The dataset comes from Bagoue region, located in WestAfrica and lies between longitudes 6° and 7° W and latitudes 9° and 11° N in the north of Cote d’Ivoire.

The average FR observed in this area fluctuates between 1 and 3 m3/h. Refer to the link of case story paper in the repository docs to visualize the location map of the study area with the geographical distribution of the various boreholes in the region. The geophysical data and boreholesdata were collected from National Office of Drinking Water(ONEP) and West-Africa International Drilling Company (FORACO-CI) during the Presidential Emergency Program (PPU) in 2012-2013 and the National Drinking Water Supply Program (PNAEP) in 2014. The data are firstly composed of Electrical resistivity profile (ERP) data collected from geophysical survey lines with various arrays such as Schlumberger, gradient rectangle and Wenner \(\alpha\) or \(\beta\) and the Vertical electricalsounding (VES) data carried out on the selected anomalies. The configuration used during the ERP is Schlumberger with distance of \(AB = 200m \quad \text{and} \quad MN =20m\).

The class gives some details about the test dataset used throughout the WATex packages. It is a guidance for the user to get any details about the data preprocessed in order to wuick implement or testing the method. Some examples to fetching infos and data are illustrated below:

Examples

>>> from watex.datasets import fetch_data
>>> bag_records = fetch_data('original').get('DESCR')
... 'https://doi.org/10.5281/zenodo.5571534: bagoue-original'
>>> data_contests =fetch_data('original').get('dataset-contest')
... {'__documentation:': '`watex.property.BagoueNotes.__doc__`',
...     '__area': 'https://en.wikipedia.org/wiki/Ivory_Coast',
...     '__casehistory': 'https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021WR031623',
...     '__wikipages': 'https://github.com/WEgeophysics/watex/wiki',
...     '__citations': ('https://doi.org/10.1029/2021wr031623',
...      ' https://doi.org/10.5281/zenodo.5529368')}
>>> #-->  fetching X, y dat
>>> # get the list of tags before
>>> tags=fetch_data('original').get('tags')
... ('Bagoue original', ...,'Bagoue prepared sets', 'Bagoue untouched test sets')
>>> len(tags)
... 11
>>> --> fetch the preprocessing sets of data
>>> X, y = fetch_data('preprocessing')
>>> X.shape , y.shape
... ((344, 8), (344,))
>>> list(X.columns)
... ['power', 'magnitude', 'sfi', 'ohmS', 'lwi', 'shape', 'type', 'geol']
>>> X, y = fetch_data('prepared') # data are vectorized and onehotencoded
... ((344, 18), (344,))
>>> X, y = fetch_data('test sets')
>>> X.shape , y.shape
... ((87, 12), (87,))

bagattr_infos = {'east': 'easting :UTM:29P-30N-WGS84', 'flow': 'Ohmic surface compute on sounding curve in relationship with VES1D inversion (Ω.m2)__ref :doc:`watex.methods.electrical.VerticalSounding`', 'geol': 'anomaly `shape`. Can be `EC`CP`CB2P`NC`__ref :doc:`watex.utils.exmath.get_type`', 'magnitude': 'anomaly `magnitude` or `height` in Ω.m __ref :doc:`watex.utils.exmath.compute_magnitude`', 'name': 'Borehole code', 'north': 'northing :UTM:29P-30N-WGS84', 'num': 'Numbering the data-erp-ves-boreholes', 'ohmS': 'most dominant geology structure of the area where the erp or ves (geophysical survey) is done.', 'power': 'anomaly `power` or anomaly width in meter(m).__ref :doc:`watex.utils.exmath.compute_power`', 'shape': 'anomaly `standard fracturing index`, no unit<=sqrt(2)__ref :doc:`watex.utils.exmath.compute_sfi`', 'type': 'anomaly `shape`. Can be `V`W`M`K`L`U`H`__ref :doc:`watex.utils.exmath.get_shape`'}

bagkeys = ('num', 'name', 'east', 'north', 'power', 'magnitude', 'shape', 'type', 'geol', 'ohmS', 'flow')

bagvalues = ['Numbering the data-erp-ves-boreholes', 'Borehole code', 'easting :UTM:29P-30N-WGS84', 'northing :UTM:29P-30N-WGS84', 'anomaly `power` or anomaly width in meter(m).__ref :doc:`watex.utils.exmath.compute_power`', 'anomaly `magnitude` or `height` in Ω.m __ref :doc:`watex.utils.exmath.compute_magnitude`', 'anomaly `standard fracturing index`, no unit<=sqrt(2)__ref :doc:`watex.utils.exmath.compute_sfi`', 'anomaly `shape`. Can be `V`W`M`K`L`U`H`__ref :doc:`watex.utils.exmath.get_shape`', 'anomaly `shape`. Can be `EC`CP`CB2P`NC`__ref :doc:`watex.utils.exmath.get_type`', 'most dominant geology structure of the area where the erp or ves (geophysical survey) is done.', 'Ohmic surface compute on sounding curve in relationship with VES1D inversion (Ω.m2)__ref :doc:`watex.methods.electrical.VerticalSounding`', 'flow rate value of drilling in m3/h']

class watex.property.BasePlot(savefig=None, fig_num=1, fig_size=(12, 8), fig_dpi=300, fig_legend=None, fig_orientation='landscape', fig_title=None, fig_aspect='auto', font_size=3.0, font_style='italic', font_weight='bold', fs=5.0, ms=3.0, marker='o', markerfacecolor='yellow', markeredgecolor='cyan', markeredgewidth=3.0, lc='k', ls='-', lw=1.0, alpha=0.5, bins=10, xlim=None, ylim=None, xminorticks=1, yminorticks=1, xlabel=None, ylabel=None, rotate_xlabel=None, rotate_ylabel=None, leg_kws={'loc': 'lower right'}, plt_kws={}, plt_style='pcolormesh', plt_shading='auto', imshow_interp=None, s=40.0, cmap='jet_r', show_grid=False, galpha=0.5, gaxis='both', gc='k', gls='--', glw=2.0, gwhich='major', tp_axis='both', tp_labelsize=3.0, tp_bottom=True, tp_top=True, tp_labelbottom=False, tp_labeltop=True, cb_orientation='vertical', cb_aspect=20.0, cb_shrink=1.0, cb_pad=0.05, cb_anchor=(0.0, 0.5), cb_panchor=(1.0, 0.5), cb_label=None, cb_spacing='uniform', cb_drawedges=False, cb_format=None, sns_orient='v', sns_style=None, sns_palette=None, sns_height=4.0, sns_aspect=0.7, sns_theme_kws=None, verbose=0)

Bases: ABC

Base class deals with Machine learning and conventional Plots.

The BasePlot can not be instanciated. It is build on the top of other plotting classes and its attributes are used for external plots.

Hold others optional informations:

Property	Description
fig_dpi	dots-per-inch resolution of the figure default is 300
fig_num	number of the figure instance. default is 1
fig_aspect	[‘equal’| ‘auto’] or float, figure aspect. Can be rcParams[“image.aspect”]. default is auto.
fig_size	size of figure in inches (width, height) default is [5, 5]
savefig	savefigure’s name, default is None
fig_orientation	figure orientation. default is landscape
fig_title	figure title. default is None
fs	size of font of axis tick labels, axis labels are fs+2. default is 6
ls	[ ‘-’ | ‘.’ | ‘:’ ] line style of mesh lines default is ‘-’
lc	line color of the plot, default is k
lw	line weight of the plot, default is 1.5
alpha	transparency number, default is 0.5
font_weight	weight of the font , default is bold.
ms	size of marker in points. default is 5
marker	style of marker in points. default is o.
marker_facecolor	facecolor of the marker. default is yellow
marker_edgecolor	edgecolor of the marker. default is cyan.
marker_edgewidth	width of the marker. default is 3.
xminorticks	minortick according to x-axis size and default is 1.
yminorticks	minortick according to y-axis size and default is 1.
font_size	size of font in inches (width, height) default is 3.
font_style	style of font. default is italic
bins	histograms element separation between two bar. default is 10.
xlim	limit of x-axis in plot. default is None
ylim	limit of y-axis in plot. default is None
xlabel	label name of x-axis in plot. default is None
ylabel	label name of y-axis in plot. default is None
rotate_xlabel	angle to rotate xlabel in plot. default is None
rotate_ylabel	angle to rotate ylabel in plot. default is None
leg_kws	keyword arguments of legend. default is empty dict.
plt_kws	keyword arguments of plot. default is empty dict
plt_style	keyword argument of 2d style. default is pcolormesh
plt_shading	keyword argument of Axes pycolormesh shading. It can be [‘flat’|’nearest’|’gouraud’|’auto’].*default* is ‘auto’
imshow_interp	[‘bicubic’|’nearest’|’bilinear’|’quadractic’ ] kind of interpolation for ‘imshow’ plot. Click interpol_imshow to get furher details about the interpolation method. default is None.
rs	[ ‘-’ | ‘.’ | ‘:’ ] line style of Recall metric default is ‘–’
ps	[ ‘-’ | ‘.’ | ‘:’ ] line style of `Precision `metric default is ‘-’
rc	line color of Recall metric default is (.6,.6,.6)
pc	line color of Precision metric default is k
s	size of items in scattering plots. default is fs*40.
cmap	matplotlib colormap. default is jet_r
gls	[ ‘-’ | ‘.’ | ‘:’ ] line style of grid default is ‘–‘.
glc	line color of the grid plot, default is k
glw	line weight of the grid plot, default is 2
galpha	transparency number of grid, default is 0.5
gaxis	axis to plot grid.*default* is 'both'
gwhich	type of grid to plot. default is major
tp_axis	axis to apply ticks params. default is both
tp_labelsize	labelsize of ticks params. default is italic
tp_bottom	position at bottom of ticks params. default is True.
tp_top	position at the top of ticks params. default is True.
tp_labelbottom	see label on the bottom of the ticks. default is False
tp_labeltop	see the label on the top of ticks. default is True
cb_orientation	orientation of the colorbar. default is vertical
cb_aspect	aspect of the colorbar. default is 20.
cb_shrink	shrink size of the colorbar. default is 1.0
cb_pad	pad of the colorbar of plot. default is .05
cb_anchor	anchor of the colorbar. default is (0.0, 0.5)
cb_panchor	proportionality anchor of the colorbar. default is `` (1.0, 0.5)``.
cb_label	label of the colorbar. default is None.
cb_spacing	spacing of the colorbar. default is uniform
cb_drawedges	draw edges inside of the colorbar. default is False
cb_format	format of the colorbar values. default is None.
sns_orient	seaborn fig orientation. default is v which refer to vertical
sns_style	seaborn style
sns_palette	seaborn palette
sns_height	seaborn height of figure. default is 4..
sns_aspect	seaborn aspect of the figure. default is .7
sns_theme_kws	seaborn keywords theme arguments. default is { 'style':4., 'palette':.7}
verbose	control the verbosity. Higher value, more messages. default is 0.

class watex.property.Config

Bases: object

Container of property elements.

Out of bag to keep unmodificable elements. Trick to encapsulate all the element that are not be allow to be modified.

static arrangement(a)

Assert whether the given arrangement is correct.

Parameters:

a – int, float, str - Type of given electrical arrangement.

Returns:

• The correct arrangement name

• 0 which means False or a wrong given arrangements.

property arraytype

Different array from Electrical Resistivity Profiling configuration.

Array-configuration can be added as the development progresses.

property geo_rocks_properties

Get some sample of the geological rocks.

property parsers

Readable format that can be read and parse the data

property rockpatterns

Default geological rocks patterns.

pattern are not exhaustiv, can be added and changed. This pattern randomly choosen its not exatly match the rocks geological patterns as described with the conventional geological swatches relate to the USGS(US Geological Survey ) swatches- references and FGDC (Digital cartographic Standard for Geological Map Symbolisation

-FGDCgeostdTM11A2_A-37-01cs2.eps)

The following symbols can be used to create a matplotlib pattern.

make _pattern:{‘/’, ‘’, ‘|’, ‘-’, ‘+’, ‘x’, ‘o’, ‘O’, ‘.’, ‘*’}

/ - diagonal hatching - back diagonal | - vertical - - horizontal + - crossed x - crossed diagonal o - small circle O - large circle . - dots * - stars

class watex.property.Copyright(release_status=None, additional_info=None, conditions_of_use=None, **kws)

Bases: object

Information of copyright, mainly about the use of data can use the data. Be sure to read over the conditions_of_use.

Holds the following informations:

Attributes	Type	Explanation
References	References	citation of published work using these data
conditions_of_use	string	conditions of use of data used for testing program
release_status	string	release status [ open | public |proprietary]

More attributes can be added by inputing a key word dictionary

Examples

>>> from watex.property import Copyright
>>> copbj =Copyright(**{'owner':'University of AI applications',
...             'contact':'WATER4ALL'})
>>> copbj.contact
Out[20]: 'WATER4ALL

cuse = "All Data used for software demonstration mostly located in  data directory <data/> cannot be used for commercial and  distributive purposes. They can not be distributed to a third party. However, they can be used for understanding the program. Some available ERP and VES raw data can be found on the record <'10.5281/zenodo.5571534'>. Whereas EDI-data e.g. EMAP/MT data, can be collected at http://ds.iris.edu/ds/tags/magnetotelluric-data/. The metadata from both sites are available free of charge and may be copied freely, duplicated and further distributed provided these data are cited as the reference."

class watex.property.ElectricalMethods(AB=200.0, MN=20.0, arrangement='schlumberger', area=None, projection='UTM', datum='WGS84', epsg=None, utm_zone=None, fromlog10=False, verbose=0)

Bases: ABC

Base class of geophysical electrical methods

The electrical geophysical methods are used to determine the electrical resistivity of the earth’s subsurface. Thus, electrical methods are employed for those applications in which a knowledge of resistivity or the resistivity distribution will solve or shed light on the problem at hand. The resolution, depth, and areal extent of investigation are functions of the particular electrical method employed. Once resistivity data have been acquired, the resistivity distribution of the subsurface can be interpreted in terms of soil characteristics and/or rock type and geological structure. Resistivity data are usually integrated with other geophysical results and with surface and subsurface geological data to arrive at an interpretation. Get more infos by consulting this link .

The watex.methods.electrical.ElectricalMethods compose the base class of all the geophysical methods that images the underground using the resistivity values. Is another Base class of electrical especially the ResistivityProfiling and VerticalSounding. It is composed of the details of geolocalisation of the survey area and the array configuration.

Holds on others optionals infos in kws arguments:

Attributes	Type	Description
AB	float, array	Distance of the current electrodes in meters. A and B are used as the first and second current electrodes by convention. Note that AB is considered as an array of depth measurement when using the vertical electrical sounding Vertical Electrical Sounding method i.e. AB/2 half-space. Default is ``200``meters.
MN	float, array	Distance of the current electrodes in meters. M and N are used as the first and second potential electrodes by convention. Note that MN is considered as an array of potential electrode spacing when using the collecting data using the vertical electrical sounding Vertical Electrical Sounding method i.e MN/2 halfspace. Default is ``20.``meters.
arrangement	str	Type of dipoles AB and MN arrangememts. Can be schlumberger Wenner- alpha / wenner beta, Gradient rectangular or dipole- dipole. Default is schlumberger.
area	str	The name of the survey location or the exploration area.
fromlog10	bool	Set to True if the given resistivities values are collected on base 10 logarithm.
utm_zone	str	string (##N or ##S). utm zone in the form of number and North or South hemisphere, 10S or 03N.
datum	str	well known datum ex. WGS84, NAD27, etc.
projection	str	projected point in lat and lon in Datum latlon, as decimal degrees or ‘UTM’.
epsg	int	epsg number defining projection (see http://spatialreference.org/ref/ for moreinfo). Overrides utm_zone if both are provided.

Notes

The ElectricalMethods consider the given resistivity values as a normal values and not on base 10 logarithm. So if log10 values are given, set the argument fromlog10 value to True.

class watex.property.IsEdi

Bases: ABC

Assert SEG MT/EMAP Data Interchange Standard EDI-file .

Is an abstract Base class for control the valid EDI [1]. It is also used to ckeck whether object is an instance of EDI object.

EDI stands for Electrical Data Interchange module can read and write an *.edi file as the ‘standard ‘ format of magnetotellurics. Each section of the .edi file belongs to a class object, thus the elements of each section are attributes for easy access. Edi is outputted following the SEG documentation and rules of EMAP (Electromagnetic Array Profiling) and MT sections.

Examples

>>> import pycsamt
>>> from watex.property import IsEdi
>>> from watex.methods.em import EM
>>> IsEdi.register (pycsamt.core.edi.Edi )
>>> ediObj= EM().fit(r'data/edis').ediObjs_ [0] # one edi-file for assertion
>>> isinstance (ediObj, IsEdi)
... True

References

[1]

Wight, D.E., Drive, B., 1988. MT/EMAP Data Interchange Standard, 1rt ed. Society of Exploration Geophysicists, Texas 7831, USA.

abstract property is_valid

Assert whether EDI is valid.

class watex.property.P(hl=None)

Bases: object

Data properties are values that are hidden to avoid modifications alongside the packages. Its was used for assertion, comparison etceteara. These are enumerated below into a property objects.

Is a property class that handles the Electrical Resistivity Profiling and Vertical Electrical Sounding attributes. Along the electrical, it deals with the electrical dipole arrangements, the data classsification and assert whether it is able to be read by the scripts. It is a lind of “asserter”. Accept data or reject data provided by the used indicated the way to sanitize it before feeding to the algorithm.

Parameters:

**frcolortags: Stands for flow rate colors tags. Values are**

‘#CED9EF’,’#9EB3DD’, ‘#3B70F2’, ‘#0A4CEF’.

ididctags: Stands for the list of index set in dictionary which encompasses

key and values of all different prefixes.

isation: List of prefixes used for indexing the stations in the Electrical Resistivity Profiling.

ieasting: List of prefixes used for indexing the easting coordinates array.

inorthing: List of prefixes used to index the northing coordinates.

iresistivity List of prefix used for indexing the apparent resistivity

values in the Electrical Resistivity Profiling data collected during the survey.

isren: Is the list of heads columns during the data collections. Any data

head Electrical Resistivity Profiling data provided should be converted into the following arangement:

station

resistivity

easting

northing

**isrll: Is the list of heads columns during the data collections. Any data**

head Electrical Resistivity Profiling data provided should be converted into the following arangement:

station

resistivity

longitude

latitude

P: Typing class for fectching the properties.

Examples

>>> from watex.property import P
>>> P.idicttags
... <property at 0x1ec1f2c3ae0>
>>> P().idictags
...
{'station': ['pk', 'sta', 'pos'], 'longitude': ['east', 'x', 'long', 'lon'],
 'latitude': ['north', 'y', 'lat'], 'resistivity': ['rho', 'app', 'res']}
>>> {k:v for k, v in  P.__dict__.items() if '__' not in k}
... {'_station': ['pk', 'sta', 'pos'],
     '_easting': ['east', 'x', 'long'],
     '_northing': ['north', 'y', 'lat'],
     '_resistivity': ['rho', 'app', 'res'],
     'frcolortags': <property at 0x1ec1f2fee00>,
     'idicttags': <property at 0x1ec1f2c3ae0>,
     'istation': <property at 0x1ec1f2c3ea0>,
     'ieasting': <property at 0x1ec1f2c39f0>,
     'inorthing': <property at 0x1ec1f2c3c70>,
     'iresistivity': <property at 0x1ec1f2c3e00>,
     'isenr': <property at 0x1ec1f2c3db0>}
>>> P().isrll
... ['station','resistivity','longitude','latitude']
>>> from watex.property import P
>>> pObj = P()
>>> P.idictags
... <property at 0x15b2248a450>
>>> pObj.idicttags
... {'station': ['pk', 'sta', 'pos'],
...     'resistivity': ['rho', 'app', 'res', 'se', 'sounding.values'],
...     'longitude': ['long', 'lon'],
...     'latitude': ['lat'],
...     'easting': ['east', 'x'],
...     'northing': ['north', 'y']}
>>> rphead = ['res', 'x', 'y', '']
>>> pObj (rphead) # sanitize the given resistivity profiling head data.
... ['resistivity', 'easting', 'northing']
>>> rphead = ['lat', 'x', 'rho', '']
... ['latitude', 'easting', 'resistivity']
>>> rphead= ['pos', 'x', 'lon', 'north', 'latitud', 'app.res' ]
>>> pObj (rphead)
... ['station', 'easting', 'longitude', 'northing', 'latitude', 'resistivity']
>>> # --> for sounding head assertion
>>> vshead=['ab', 's', 'rho', 'potential']
>>> pObj (vshead, kind ='ves')
... ['AB', 'resistivity'] # in the list of vshead,
... # only 'AB' and 'resistivity' columns are recognized.

all_prefixes = {'_AB': ['ab', 'ab/2', 'current.electrodes', 'depth', 'thickness'], '_MN': ['mn', 'mn/2', 'potential.electrodes', 'mnspacing'], '_easting': ['east', 'x'], '_latitude': ['lat'], '_longitude': ['long', 'lon'], '_northing': ['north', 'y'], '_resistivity': ['rho', 'app', 'res', 'se', 'sounding.values'], '_station': ['pk', 'sta', 'pos']}

easting_prefix = ['east', 'x']

erp_headen = ['station', 'resistivity', 'easting', 'northing']

erp_headll = ['station', 'resistivity', 'longitude', 'latitude']

property frcolortags

set the dictionnary

property icpr

Keep only the Vertical Electrical Sounding header data …

property idictcpr

cpr stands for current-potentials and resistivity. They compose the main property values when collected the vertical electrical sounding data.

property idicttags

Is the collection of data properties

property ieasting

Use prefix to identify easting coordinates if given in the dataset.

property ilat

Use prefix to identify latitude coordinates if given in the dataset.

property ilon

Use prefix to identify longitude coordinates if given in the dataset.

property inorthing

Use prefix to identify northing coordinates if given in the dataset.

property iresistivity

Use prefix to identify the resistivity values in the dataset

property isren

SREN is the abbreviation of S`for ``Stations`,`R``for resistivity, E for easting and N for northing. SREN is the expected columns in Electrical resistivity profiling. Indeed, it keeps the traditional collections sheets during the survey.

property isrll

SRLL is the abbreviation of S`for ``Stations`,`R`` for resistivity, L for Longitude and L for Latitude. SRLL is the expected columns in Electrical resistivity profiling. Indeed, it keeps the traditional collections sheets during the survey.

property istation

Use prefix to identify station location positions

lat_prefix = ['lat']

lon_prefix = ['long', 'lon']

northing_prefix = ['north', 'y']

param_ids = ['id', 'east', 'north', 'power', 'magnitude', 'shape', 'type', 'sfi', 'lat', 'lon', 'lwi', 'ohmS', 'geol', 'flow']

param_options = [['bore', 'for'], ['x', 'east'], ['y', 'north'], ['pow', 'puiss', 'pa'], ['magn', 'amp', 'ma'], ['shape', 'form'], ['type'], ['sfi', 'if'], ['lat'], ['lon'], ['lwi', 'wi'], ['ohms', 'surf'], ['geol'], ['flow', 'deb']]

resistivity_prefix = ['rho', 'app', 'res', 'se', 'sounding.values']

station_prefix = ['pk', 'sta', 'pos']

ves_head = ['AB', 'MN', 'rhoa']

ves_props = {'_AB': ['ab', 'ab/2', 'current.electrodes', 'depth', 'thickness'], '_MN': ['mn', 'mn/2', 'potential.electrodes', 'mnspacing']}

class watex.property.Person(email=None, name=None, organization=None, organization_url=None, **kws)

Bases: object

Information for a person

Attributes	Type	Explanation
email	string	email of person
name	string	name of person
organization	string	name of person’s organization
organization_url	string	organizations web address

More attributes can be added by inputing a key word dictionary

Examples

>>> from watex.property import Person
>>> person =Person(**{'name':'ABA', 'email':'aba@water4all.ai.org',
...                  'phone':'00225-0769980706',
...          'organization':'WATER4ALL'})
>>> person.name
Out[23]: 'ABA
>>> person.organization
Out[25]: 'WATER4ALL'

class watex.property.References(author=None, title=None, journal=None, volume=None, doi=None, year=None, **kws)

Bases: object

References information for a citation.

Holds the following information:

Attributes	Type	Explanation
author	string	Author names
title	string	Title of article, or publication
journal	string	Name of journal
doi	string	DOI number
year	int	year published

More attributes can be added by inputing a key word dictionary

Examples

>>> from watex.property import References
>>> refobj = References(
    **{'volume':18, 'pages':'234--214',
    'title':'watex :A machine learning research for hydrogeophysic' ,
    'journal':'Computers and Geosciences',
    'year':'2021', 'author':'DMaryE'}
    )
>>> refobj.journal
Out[21]: 'Computers and Geosciences'

class watex.property.Software(name=None, version=None, release=None, **kws)

Bases: object

software info

Attributes	Type	Explanation
name	string	name of software
version	string	version of sotware
Author	string	Author of software
release	string	latest version release

More attributes can be added by inputing a key word dictionary

Examples

>>> from watex.property import Software
>>> Software(**{'release':'0.11.23'})

class watex.property.Water(state=None, taste='potable', odor='pure', appearance='visible', color='pure white background', capacity=4184.0, vaporization=2257.0, fusion=33.55, density=1.0, magnetism=-0.91, miscibility=True, condensation=22, pressure=(0.6113, Ellipsis, 101.32), compressibility=5.1e-10, triple=(0.001, 611.657), conductivity=0.05501, melting=0.5, polarity='bent molecular geometry ', cohesion='coherent', adhesion='disambiguation', tension=71.99, action=100.0, issolvent=True, reaction='amphoteric', ionisation='hydroxide', tunneling='hexamer', nommenclature='oxidane', earthmass=0.23, occurence=0.9739, pH=7.0)

Bases: ABC

Should be a SuperClass for methods classes which deals with water

properties and components.

Instanciate the class shoud raise an error.

Water (H2O) is a polar inorganic compound that is at room temperature a tasteless and odorless liquid, which is nearly colorless apart from an inherent hint of blue. It is by far the most studied chemical compound and is described as the “universal solvent”and the “solvent of life”. It is the most abundant substance on the surface of Earth and the only common substance to exist as a solid, liquid, and gas on Earth’s surface. It is also the third most abundant molecule in the universe (behind molecular hydrogen and carbon monoxide).

The Base class initialize arguments for different methods such as the Electrical Resistivity Profiling and for Vertical Electrical Sounding. The Water should set the attributes and check whether attributes are suitable for what the specific class expects to.

Hold some properties informations:

Property	Description
state	official names for the chemical compound r”$H_2O$”. It can be a matter of solid, ice, gaseous, water vapor or steam. The default is None.
taste	water from ordinary sources, including bottled mineral water, usually has many dissolved substances, that may give it varying tastes and odors. Humans and other animals have developed senses that enable them to evaluate the potability of water in order to avoid water that is too salty or putrid. The default is potable.
odor	Pure water is usually described as tasteless and odorless, although humans have specific sensors that can feel the presence of water in their mouths,and frogs are known to be able to smell it. The default is pure.
color	The color can be easily observed in a glass of tap-water placed against a pure white background, in daylight. The default is pure white background.
appearance	Pure water is visibly blue due to absorption of light in the region ca. 600 nm – 800 nm. The default is visible.
density	Water differs from most liquids in that it becomes less dense as it freezes. In 1 atm pressure, it reaches its maximum density of 1.000 kg/m3 (62.43 lb/cu ft) at 3.98 °C (39.16 °F). The default units and values are kg/m3``and ``1.
magnetism	Water is a diamagnetic material. Though interaction is weak, with superconducting magnets it can attain a notable interaction. the default value is \(-0.91 \chi m\)”. Note that the magnetism succeptibily has no unit.
capacity	stands for heat capacity. In thermodynamics, the specific heat capacity (symbol cp) of a substance is the heat capacity of a sample of the substance divided by the mass of the sample. Water has a very high specific heat capacity of 4184 J/(kg·K) at 20 °C (4182 J/(kg·K) at 25 °C).The default is is ``4182 ``
vaporization	stands for heat of vaporization. Indeed, the enthalpy of vaporization (symbol \(\delta H_{vap}\)), also known as the (latent) heat of vaporization or heat of evaporation, is the amount of energy (enthalpy) that must be added to a liquid substance to transform a quantity of that substance into a gas. Water has a high heat of vaporization i.e. 40.65 kJ/mol or 2257 kJ/kg at the normal boiling point), both of which are a result of the extensive hydrogen bonding between its molecules. The default is 2257 kJ/kg.
fusion	stands for enthalpy of fusion more commonly known as latent heat of water is 333.55 kJ/kg at 0 °C. The default is 33.55.
miscibility	Water is miscible with many liquids, including ethanol in all proportions. Water and most oils are immiscible usually forming layers according to increasing density from the top. default is True.
condensation	As a gas, water vapor is completely miscible with air so the vapor’s partial pressure is 2% of atmospheric pressure and the air is cooled from 25 °C, starting at about 22 °C, water will start to condense, defining the dew point, and creating fog or dew. The default is the degree of condensation set to 22°C.
pressure	stands for vapour pressure of water. It is the pressure exerted by molecules of water vapor in gaseous form i.e. whether pure or in a mixture with other gases such as air. The vapor pressure is given as a list from the temperature T, 0°C (0.6113kPa) to 100°C(101.3200kPa). default is (0.611, ..., 101.32).
compressibility	The compressibility of water is a function of pressure and temperature. At 0 °C, at the limit of zero pressure, the compressibility is 5.1x10^−10 P^{a^−1}. The default value is the value at 0 °C.
triple	stands for triple point. The temperature and pressure at which ordinary solid, liquid, and gaseous water coexist in equilibrium is a triple point of water. The triple point are set to (.001°C,611.657 Pa) and (100 , 101.325kPa) for feezing (0°C) and boiling point (100°C) points. In addition, the triple point can be set as (20. , 101.325 kPa) for 20°C. By default, the triple point solid/liquid/vapour is set to (.001, 611.657 Pa ).
melting	stands for melting point. Water can remain in a fluid state down to its homogeneous nucleation point of about 231 K (−42 °C; −44 °F). The melting point of ordinary hexagonal ice falls slightly under moderately high pressures, by 0.0073 °C (0.0131 °F)/atm[h] or about 0.5 °C (0.90 °F)/70 atm considered as the default value.
conductivity	In pure water, sensitive equipment can detect a very slight electrical conductivity of 0.05501 ± 0.0001 μS/cm at 25.00 °C. default is .05501.
polarity	An important feature of water is its polar nature. The structure has a bent molecular geometry for the two hydrogens from the oxygen vertex. The default is bent molecular geometry or angular or V-shaped. Other possibility is covalent bonds `` ``VSEPR theory for Valence Shell Electron Repulsion.
cohesion	stands for the collective action of hydrogen bonds between water molecules. The default is coherent for the water molecules staying close to each other. In addition, the cohesion refers to the tendency of similar or identical particles/surfaces to cling to one another.
adhesion	stands for the tendency of dissimilar particles or surfaces to cling to one another. It can be chemical adhesion, dispersive adhesion, diffusive adhesion and disambiguation. The default is disambiguation.
tension	stands for the tendency of liquid surfaces at rest to shrink into the minimum surface area possible. Water has an unusually high surface tension of 71.99 mN/m at 25 °C[63] which is caused by the strength of the hydrogen bonding between water molecules. This allows insects to walk on water. The default value is to 71.99 mN/m at 25 °C.
action	stands for Capillary action. Water has strong cohesive and adhesive forces, it exhibits capillary action. Strong cohesion from hydrogen bonding and adhesion allows trees to transport water more than 100 m upward. So the default value is set to ``100.``meters.
issolvent	Water is an excellent solvent due to its high dielectric constant. Substances that mix well and dissolve in water are known as hydrophilic (“water-loving”) substances, while those that do not mix well with water are known as hydrophobic (“water-fearing”) substances.
tunnelling	stands for quantum tunneling. It is a quantum mechanical phenomenon whereby a wavefunction can propagate through a potential barrier. It can be monomers for the motions which destroy and regenerate the weak hydrogen bond by internal rotations, or hexamer involving the concerted breaking of two hydrogen bond. The default is hexamer discovered on 18 March 2016.
reaction	stands for acide-base reactions. Water is amphoteric i.e. it has the ability to act as either an acid or a base in chemical reactions.
ionization	In liquid water there is some self-ionization giving hydronium ions and hydroxide ions. default is hydroxide.
earthmass	stands for the earth mass ration in “ppm” unit. Water is the most abundant substance on Earth and also the third most abundant molecule in the universe after the \(H_2 \quad \text{and} \quad CO\) . The default value is ``0.23``ppm of the earth’s mass.
occurence	stands for the abundant molecule in the Earth. Water represents 97.39% of the global water volume of 1.38×109 km3 is found in the oceans considered as the default value.
pH	stands for Potential of Hydrogens. It also shows the acidity in nature of water. For instance the “rain” is generally mildly acidic, with a pH between 5.2 and 5.8 if not having any acid stronger than carbon dioxide. At neutral pH, the concentration of the hydroxide ion (\(OH^{-}\)) equals that of the (solvated) hydrogen ion(\(H^{+}\)), with a value close to 10^−7 mol L^−1 at 25 °C. The default is 7. or neutral or the name of any substance pH close to.
nommenclature	The accepted IUPAC name of water is oxidane or simply water. Oxidane is only intended to be used as the name of the mononuclear parent hydride used for naming derivatives of water by substituent nomenclature. The default name is oxidane.

. _Cote d’Ivoire: https://en.wikipedia.org/wiki/Ivory_Coast