-Data folder

MANIFEST

@@ -0,0 +1,2 @@
+include data/Enrollments.csv
+include data/AirPassengers.csv

pyFTS/data/AirPassengers.csv

@@ -0,0 +1,145 @@
+Month,Passengers
+1949-01,112
+1949-02,118
+1949-03,132
+1949-04,129
+1949-05,121
+1949-06,135
+1949-07,148
+1949-08,148
+1949-09,136
+1949-10,119
+1949-11,104
+1949-12,118
+1950-01,115
+1950-02,126
+1950-03,141
+1950-04,135
+1950-05,125
+1950-06,149
+1950-07,170
+1950-08,170
+1950-09,158
+1950-10,133
+1950-11,114
+1950-12,140
+1951-01,145
+1951-02,150
+1951-03,178
+1951-04,163
+1951-05,172
+1951-06,178
+1951-07,199
+1951-08,199
+1951-09,184
+1951-10,162
+1951-11,146
+1951-12,166
+1952-01,171
+1952-02,180
+1952-03,193
+1952-04,181
+1952-05,183
+1952-06,218
+1952-07,230
+1952-08,242
+1952-09,209
+1952-10,191
+1952-11,172
+1952-12,194
+1953-01,196
+1953-02,196
+1953-03,236
+1953-04,235
+1953-05,229
+1953-06,243
+1953-07,264
+1953-08,272
+1953-09,237
+1953-10,211
+1953-11,180
+1953-12,201
+1954-01,204
+1954-02,188
+1954-03,235
+1954-04,227
+1954-05,234
+1954-06,264
+1954-07,302
+1954-08,293
+1954-09,259
+1954-10,229
+1954-11,203
+1954-12,229
+1955-01,242
+1955-02,233
+1955-03,267
+1955-04,269
+1955-05,270
+1955-06,315
+1955-07,364
+1955-08,347
+1955-09,312
+1955-10,274
+1955-11,237
+1955-12,278
+1956-01,284
+1956-02,277
+1956-03,317
+1956-04,313
+1956-05,318
+1956-06,374
+1956-07,413
+1956-08,405
+1956-09,355
+1956-10,306
+1956-11,271
+1956-12,306
+1957-01,315
+1957-02,301
+1957-03,356
+1957-04,348
+1957-05,355
+1957-06,422
+1957-07,465
+1957-08,467
+1957-09,404
+1957-10,347
+1957-11,305
+1957-12,336
+1958-01,340
+1958-02,318
+1958-03,362
+1958-04,348
+1958-05,363
+1958-06,435
+1958-07,491
+1958-08,505
+1958-09,404
+1958-10,359
+1958-11,310
+1958-12,337
+1959-01,360
+1959-02,342
+1959-03,406
+1959-04,396
+1959-05,420
+1959-06,472
+1959-07,548
+1959-08,559
+1959-09,463
+1959-10,407
+1959-11,362
+1959-12,405
+1960-01,417
+1960-02,391
+1960-03,419
+1960-04,461
+1960-05,472
+1960-06,535
+1960-07,622
+1960-08,606
+1960-09,508
+1960-10,461
+1960-11,390
+1960-12,432

pyFTS/data/AirPassengers.py

@@ -0,0 +1,8 @@
+import pandas as pd
+import numpy as np
+
+
+def get_data():
+    passengers = pd.read_csv("DataSets/AirPassengers.csv", sep=",")
+    passengers = np.array(passengers["Passengers"])
+    return passengers

pyFTS/data/Enrollments.csv

@@ -0,0 +1,23 @@
+Year;Enrollments
+1971;13055
+1972;13563
+1973;13867
+1974;14696
+1975;15460
+1976;15311
+1977;15603
+1978;15861
+1979;16807
+1980;16919
+1981;16388
+1982;15433
+1983;15497
+1984;15145
+1985;15163
+1986;15984
+1987;16859
+1988;18150
+1989;18970
+1990;19328
+1991;19337
+1992;18876

pyFTS/data/Enrollments.py

@@ -0,0 +1,12 @@
+import pandas as pd
+import numpy as np
+import os
+import pkg_resources
+
+def get_data():
+    #data_path = os.path.dirname(__file__)
+    #filename = os.path.join(data_path,"Enrollments.csv")
+    filename = pkg_resources.resource_filename('pyFTS', 'data/Enrollments.csv')
+    enrollments = pd.read_csv(filename, sep=";")
+    enrollments = np.array(enrollments["Enrollments"])
+    return enrollments

setup.cfg

@@ -1,2 +1,5 @@
 [metadada]
 description-file = README.md
+
+[easy_install]
+

setup.py

@@ -5,9 +5,12 @@ setup(
     packages=['pyFTS', 'pyFTS.benchmarks', 'pyFTS.common', 'pyFTS.data', 'pyFTS.models.ensemble',
               'pyFTS.models', 'pyFTS.models.seasonal', 'pyFTS.partitioners', 'pyFTS.probabilistic',
               'pyFTS.tests', 'pyFTS.models.nonstationary'],
+    #package_dir={}
     package_data={'benchmarks': ['*'], 'common': ['*'], 'data': ['*'],
                   'models': ['*'], 'seasonal': ['*'], 'ensemble': ['*'],
                   'partitioners': ['*'], 'probabilistic': ['*'], 'tests': ['*']},
+    #data_files=[('data', ['pyFTS/data/Enrollments.csv', 'pyFTS/data/AirPassengers.csv'])],
+    include_package_data=True,
     version='1.1.1',
     description='Fuzzy Time Series for Python',
     author='Petronio Candido L. e Silva',
@@ -16,7 +19,7 @@ setup(
     download_url='https://github.com/petroniocandido/pyFTS/archive/pkg1.1.1.tar.gz',
     keywords=['forecasting', 'fuzzy time series', 'fuzzy', 'time series forecasting'],
     classifiers=[],
-    install_requires=[
-        'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib'
-    ],
+    #install_requires=[
+    #    'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib'
+    #],
 )