1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
|
# Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyPandas(PythonPackage):
"""pandas is a Python package providing fast, flexible, and expressive
data structures designed to make working with relational or
labeled data both easy and intuitive. It aims to be the
fundamental high-level building block for doing practical, real
world data analysis in Python. Additionally, it has the broader
goal of becoming the most powerful and flexible open source data
analysis / manipulation tool available in any language.
"""
homepage = "http://pandas.pydata.org/"
url = "https://pypi.io/packages/source/p/pandas/pandas-0.25.0.tar.gz"
maintainers = ['adamjstewart']
import_modules = [
'pandas', 'pandas.compat', 'pandas.core', 'pandas.util', 'pandas.io',
'pandas.tseries', 'pandas._libs', 'pandas.plotting', 'pandas.arrays',
'pandas.api', 'pandas.errors', 'pandas._config', 'pandas.compat.numpy',
'pandas.core.reshape', 'pandas.core.tools', 'pandas.core.util',
'pandas.core.dtypes', 'pandas.core.groupby', 'pandas.core.internals',
'pandas.core.computation', 'pandas.core.arrays', 'pandas.core.ops',
'pandas.core.sparse', 'pandas.core.indexes', 'pandas.io.msgpack',
'pandas.io.formats', 'pandas.io.excel', 'pandas.io.json',
'pandas.io.sas', 'pandas.io.clipboard', 'pandas._libs.tslibs',
'pandas.plotting._matplotlib', 'pandas.api.types',
'pandas.api.extensions'
]
version('0.25.0', sha256='914341ad2d5b1ea522798efa4016430b66107d05781dbfe7cf05eba8f37df995')
version('0.24.2', sha256='4f919f409c433577a501e023943e582c57355d50a724c589e78bc1d551a535a2')
version('0.24.1', sha256='435821cb2501eabbcee7e83614bd710940dc0cf28b5afbc4bdb816c31cec71af')
version('0.23.4', sha256='5b24ca47acf69222e82530e89111dd9d14f9b970ab2cd3a1c2c78f0c4fbba4f4')
version('0.21.1', '42ae7f81b81a86c3f91f663b66c525f7')
version('0.20.0', sha256='54f7a2bb2a7832c0446ad51d779806f07ec4ea2bb7c9aea4b83669fa97e778c4')
version('0.19.2', '26df3ef7cd5686fa284321f4f48b38cd')
version('0.19.0', 'bc9bb7188e510b5d44fbdd249698a2c3')
version('0.18.0', 'f143762cd7a59815e348adf4308d2cf6')
version('0.16.1', 'fac4f25748f9610a3e00e765474bdea8')
version('0.16.0', 'bfe311f05dc0c351f8955fbd1e296e73')
# https://dev.pandas.io/install.html#dependencies
# Required dependencies
depends_on('python@3.5.3:', type=('build', 'run'), when='@0.25:')
depends_on('py-setuptools@24.2.0:', type='build')
depends_on('py-numpy', type=('build', 'run'))
depends_on('py-numpy@1.13.3:', type=('build', 'run'), when='@0.25:')
depends_on('py-python-dateutil', type=('build', 'run'))
depends_on('py-python-dateutil@2.6.1:', type=('build', 'run'), when='@0.25:')
depends_on('py-pytz@2017.2:', type=('build', 'run'))
# Recommended dependencies
depends_on('py-numexpr', type=('build', 'run'))
depends_on('py-numexpr@2.6.2:', type=('build', 'run'), when='@0.25:')
depends_on('py-bottleneck', type=('build', 'run'))
depends_on('py-bottleneck@1.2.1:', type=('build', 'run'), when='@0.25:')
# Optional dependencies
# https://dev.pandas.io/install.html#optional-dependencies
# Test dependencies
# https://dev.pandas.io/install.html#running-the-test-suite
depends_on('py-pytest@4.0.2:', type='test')
depends_on('py-hypothesis@3.58:', type='test')
|
