4448766469

Build Type

github

Committed by GitHub

Commit Message

Merge 37ed18173 into c0c6c5ab8

Pull Request Pull Request #174: redirect older release not to archive - update readme

Run Details

35 of 47 branches covered (74.47%)

Branch coverage included in aggregate %.

381 of 394 relevant lines covered (96.7%)

0.97 hits per line

Source File
Press 'n' to go to next uncovered line, 'b' for previous

94.74

/tests/test_datasets.py

# -*- coding: utf-8 -*-

import pandas as pd 
import  unittest 
import watex as wx  

class TestDatasets (unittest.TestCase) :
    """ Innner datasets tests. """
    def test_load_hlogs (self ): 
        """ Test Hydro-geological datasets
        Add new features: 
            - Able  to drop observation ``remark`` into the log data 
            - collect all data and aggregate them by passing  '*'  to the 
              parameter `key`. 
        Here is an example. 
        
        """
        # --- older methods 
        # fetch both data 
        h502 = wx.fetch_data('hlogs').frame 
        h2601 = wx.fetch_data('hlogs', key ='h2601').frame 
        # concat data 
        hdata_o = pd.concat ([h502, h2601])
        print( "data size:", len(hdata_o) )
        print( "mumber of columns=", len( hdata_o.columns )) 
        print( "columns\n:", hdata_o.columns )

        # the observation ("remark") columns sometimes does not 
        # contain a meaning full detail \so it can be dropped as
        hdata_o. drop (columns = 'remark', inplace = True )

        print( "columns\n:", hdata_o.columns )

        #-- in the newest version , both ( aggregation and drop ) can be 
        # performed in a single action by setting the ``key="*"` for concatenation 
        # or ``drop_observations`` param top ``True``. here is an example. 
        # - Aggregation 
        hdata = wx.fetch_data("hlogs", key ='*').frame 
        print( "data size:", len(hdata) ) 

        print( "mumber of columns=", len( hdata.columns )) 
        # - Drop observation of h502 borehole
        hdata = wx.fetch_data("hlogs", drop_observations =True ).frame 
        print( "Does observation still exist?", "remark" in hdata.columns) 

        # or --Do both actions 
        hdata = wx.fetch_data("hlogs", key='*', drop_observations =True ).frame 

        print( "Does observation still exist ?", "remark" in hdata.columns)
        print("show new data_size:", len(hdata ))
        
        self.assertEqual(len(hdata_o), len(hdata))

    def test_fetch_data (self ) :
        """ Test the boilerplate function """
        erp_data = wx.fetch_data ('tankesse', as_frame = True )
        ves_data = wx.fetch_data('semien', index_rhoa =2 )
        hlog_data = wx.fetch_data("hlogs" , key ='*').frame 
        edi_data = wx.fetch_data("edis", key='*').frame 
        results = [ 'resistivity' in d.columns 
                   for d in ( erp_data , ves_data, hlog_data, )
                   ]
        self.assertEqual(set (results ), {True} )
        self.assertEqual("edi" in edi_data.columns, True )

        
       
if __name__=='__main__':

    unittest.main()

1	# -- coding: utf-8 --
2
3	import pandas as pd	1✔
4	import unittest	1✔
5	import watex as wx	1✔
6
7	class TestDatasets (unittest.TestCase) :	1✔
8	""" Innner datasets tests. """	1✔
9	def test_load_hlogs (self ):	1✔
10	""" Test Hydro-geological datasets
11	Add new features:
12	- Able to drop observation ``remark`` into the log data
13	- collect all data and aggregate them by passing '*' to the
14	parameter `key`.
15	Here is an example.
16
17	"""
18	# --- older methods
19	# fetch both data
20	h502 = wx.fetch_data('hlogs').frame	1✔
21	h2601 = wx.fetch_data('hlogs', key ='h2601').frame	1✔
22	# concat data
23	hdata_o = pd.concat ([h502, h2601])	1✔
24	print( "data size:", len(hdata_o) )	1✔
25	print( "mumber of columns=", len( hdata_o.columns ))	1✔
26	print( "columns\n:", hdata_o.columns )	1✔
27
28	# the observation ("remark") columns sometimes does not
29	# contain a meaning full detail \so it can be dropped as
30	hdata_o. drop (columns = 'remark', inplace = True )	1✔
31
32	print( "columns\n:", hdata_o.columns )	1✔
33
34	#-- in the newest version , both ( aggregation and drop ) can be
35	# performed in a single action by setting the ``key="*"` for concatenation
36	# or ``drop_observations`` param top ``True``. here is an example.
37	# - Aggregation
38	hdata = wx.fetch_data("hlogs", key ='*').frame	1✔
39	print( "data size:", len(hdata) )	1✔
40
41	print( "mumber of columns=", len( hdata.columns ))	1✔
42	# - Drop observation of h502 borehole
43	hdata = wx.fetch_data("hlogs", drop_observations =True ).frame	1✔
44	print( "Does observation still exist?", "remark" in hdata.columns)	1✔
45
46	# or --Do both actions
47	hdata = wx.fetch_data("hlogs", key='*', drop_observations =True ).frame	1✔
48
49	print( "Does observation still exist ?", "remark" in hdata.columns)	1✔
50	print("show new data_size:", len(hdata ))	1✔
51
52	self.assertEqual(len(hdata_o), len(hdata))	1✔
53
54	def test_fetch_data (self ) :	1✔
55	""" Test the boilerplate function """
56	erp_data = wx.fetch_data ('tankesse', as_frame = True )	1✔
57	ves_data = wx.fetch_data('semien', index_rhoa =2 )	1✔
58	hlog_data = wx.fetch_data("hlogs" , key ='*').frame	1✔
59	edi_data = wx.fetch_data("edis", key='*').frame	1✔
60	results = [ 'resistivity' in d.columns	1✔
61	for d in ( erp_data , ves_data, hlog_data, )
62	]
63	self.assertEqual(set (results ), {True} )	1✔
64	self.assertEqual("edi" in edi_data.columns, True )	1✔
65
66
67
68	if __name__=='__main__':	1✔
69
70	unittest.main()	×

WEgeophysics / watex / 4448766469

Source File Press 'n' to go to next uncovered line, 'b' for previous

Source File
Press 'n' to go to next uncovered line, 'b' for previous