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Configuring the new tag for pyPI release

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Petrônio Cândido 2018-03-06 17:33:08 -03:00
parent 967d07e5bb
commit 11831b9769
5 changed files with 60 additions and 11 deletions
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1
MANIFEST
View File

@ -1,4 +1,5 @@
# file GENERATED by distutils, do NOT edit
README
setup.cfg
setup.py
pyFTS/__init__.py

2
pyFTS/data/NASDAQ.py
View File

@ -11,7 +11,7 @@ def get_data(field):
def get_dataframe():
dat = common.get_dataframe('data/NASDAQ.csv.bz2',
'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/data/NASDAQ.csv.bz2',
'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/NASDAQ.csv.bz2',
sep=";", compression='bz2')
return dat

2
pyFTS/data/TAIEX.py
View File

@ -12,7 +12,7 @@ def get_data():
def get_dataframe():
dat = common.get_dataframe('data/TAIEX.csv.bz2',
'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/TAIEX.csv.bz2',
sep=";", compression='bz2')
sep=",", compression='bz2')
dat["Date"] = pd.to_datetime(dat["Date"])
return dat

34
pyFTS/notebooks/Severiano et al - HighOrderFTS.ipynb
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@ -18,9 +18,17 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.6/dist-packages/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.\n",
" from pandas.core import datetools\n"
]
},
{
"name": "stdout",
"output_type": "stream",
@ -58,13 +66,29 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 4,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/petronio/dados/Dropbox/Doutorado/Codigos/pyFTSsource/pyFTS/notebooks/teste\n"
]
}
],
"source": [
"from pyFTS.data import Enrollments\n",
"#from pyFTS.data import Enrollments\n",
"\n",
"enrollments = Enrollments.get_data()"
"#enrollments = Enrollments.get_data()\n",
"\n",
"import pandas as pd\n",
"import numpy as np\n",
"import os\n",
"import pkg_resources\n",
"from pathlib import Path\n",
"from urllib import request\n",
"\n"
]
},
{

32
setup.py
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@ -1,4 +1,30 @@
from distutils.core import setup
from distutils.command.install import install as _install
class install(_install):
def run(self):
_install.run(self)
from pyFTS.data import INMET,Enrollments,AirPassengers,NASDAQ,SONDA,SP500,sunspots,TAIEX
print("Downloading data assets:")
print("TAIEX")
TAIEX.get_data()
print("sunspots")
sunspots.get_data()
print("SP500")
SP500.get_dataframe()
print("SONDA")
SONDA.get_dataframe()
print("NASDAQ")
NASDAQ.get_dataframe()
print("AirPassengers")
AirPassengers.get_data()
print("Enrollments")
Enrollments.get_data()
print("INMET")
INMET.get_dataframe()
setup(
name='pyFTS',
@ -9,7 +35,7 @@ setup(
#package_data={'pyFTS.data': ['*.csv','*.csv.bz2']},
#data_files=[('data', ['pyFTS/data/Enrollments.csv', 'pyFTS/data/AirPassengers.csv'])],
#include_package_data=True,
version='1.2.3',
version='1.2.0',
description='Fuzzy Time Series for Python',
author='Petronio Candido L. e Silva',
author_email='petronio.candido@gmail.com',
@ -22,7 +48,5 @@ setup(
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
],
#install_requires=[
# 'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib','statsmodels'
#]
cmdclass={'install': install},
)