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0.0.8 perfana-0.0.8-py3-none-any.whl

Wheel Details

Project: perfana
Version: 0.0.8
Filename: perfana-0.0.8-py3-none-any.whl
Download: [link]
Size: 33348
MD5: 6b5266d75703385ee1fde2bb604aafc5
SHA256: 5ae3a319c8188ae662ee432fb9aba678c4657804219dddf72fe519c85ae0be7c
Uploaded: 2020-01-13 09:53:47 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: perfana
Version: 0.0.8
Summary: Toolbox for performance and portfolio analytics
Author: Daniel Bok
Author-Email: daniel.bok[at]outlook.com
Home-Page: https://github.com/DanielBok/perfana
License: MIT
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7
Requires-Dist: copulae (>=0.4)
Requires-Dist: numpy
Requires-Dist: pandas (>=0.23)
Requires-Dist: matplotlib; extra == "plot"
Provides-Extra: plot
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
perfana/__init__.py sha256=H4KVuyYV-pHvMivIoQjDguRhaUSR_DeaaNtAky0c1BE 207
perfana/_version.py sha256=thyTK0cIWvzyB5C6bjkgGpLpcLNvhfWbAofirVafDkw 518
perfana/conversions.py sha256=i-m3Vlsmx5stANZRDeE8PX7z0USgtunjBnNiS7ch2-I 4938
perfana/exceptions.py sha256=fNp1Yfr9_xuzTPVuYTIsbLdGwIGrp0adOChZrw3pUgc 601
perfana/types.py sha256=MVhwooHv5iyasdJeBP8HeVJJArdL_otVfairhdPqdYs 448
perfana/core/__init__.py sha256=-AFbp8octH0ldPkj38Bke3NCrHm2I6KiZiZMmYxoHAg 92
perfana/core/relative.py sha256=Gp6516NvWQPmDdWLcoBfEAlGp1j26DwcfDbrHCLUi3Y 6889
perfana/core/returns.py sha256=tRQuWFD79QRxbxgFWqaDNaMWLk24tosWcf6ZXIjmFR8 9693
perfana/core/risk.py sha256=Xw_oKurGtW2NHHNv3NNb2Uj1cGy_buGkAcvNaW3WPtw 6267
perfana/core/utils.py sha256=EhLENcNiJEJcES6Gg6ZcGtn7LBHNsmZORqCHruBBW_4 3934
perfana/datasets/__init__.py sha256=kqFLp7ix1Cfou_MmBWBxTlpfnLgnENOS5pIZEc0-C6k 21
perfana/datasets/_file_handler.py sha256=H3vTRHPO-9BzaMLmybBD4ijDDPbB4bZKdOEn19SVnbc 988
perfana/datasets/base.py sha256=mqGgwQX4lvH12I_UGMVSLfXAfisHe4yQYUrOtGsS3X8 3374
perfana/monte_carlo/__init__.py sha256=1QPn5xtaRPz3Lpva2jnCrGNeSM15wFS0Tcu4JViC6cI 96
perfana/monte_carlo/_types.py sha256=gmubFURm5Bi3tgS6Cc_27DjfXnDrpEgzsPS4NOwzAWE 461
perfana/monte_carlo/_utility.py sha256=HhwGtUTMkUoa5koJScg26dYHthoOhwEAy689eVDDe8g 761
perfana/monte_carlo/ratios.py sha256=5YGUb2eBJkvDWk9pSiLadpzBdMwA2e2kOl_p3M10wQw 4394
perfana/monte_carlo/returns.py sha256=PAUwASqWdf18sbmTuRq2dqRzpYtXJz6gCadpl3cVyz8 19908
perfana/monte_carlo/risk.py sha256=0ImrpfuUIZaxLV5EBsuVOnUa454i-9eDMIo05X0KiP4 30768
perfana/monte_carlo/sensitivity.py sha256=bba2ST17FWgyftJ5FAIriAWPSeeIf11rBVnx0JeoYsg 17621
perfana/pd_ext/__init__.py sha256=Y3Oh5pDRhV2O7eBtZZD1EPcIeyDGx1yS2bpEsVtvVeU 74
perfana/pd_ext/frame.py sha256=iqo5Yf3VyjANn1FKURndMwuDjopO-DZwCQihZfeOMeg 2726
perfana/pd_ext/series.py sha256=tRA3OzPXsArCMYm1Jt-oL5NoBAv0HEFGXpTIf3BUe6c 1737
perfana/utils/__init__.py sha256=3P7BgE0P5y4SBw3WpjplbY9viyhMbVhojxxFVg2ciz8 21
perfana/utils/cache.py sha256=uzdoFfPar-7KdmruMC6uQhZqnTjTSD3c7v63yrE-eeA 2074
perfana-0.0.8.dist-info/METADATA sha256=Ec3ZQs6u-kEOkIIMevPxMJ_PHE0Atm7fU-ynRBCnGAs 727
perfana-0.0.8.dist-info/WHEEL sha256=QBOOAdG2icRHGBs2s94rfaUlHrdfNBp-TceubUYCwOE 97
perfana-0.0.8.dist-info/top_level.txt sha256=k_rMIh4p3NeEYv4d8vm5Snymul0KWDYacPeoEYthPh4 8
perfana-0.0.8.dist-info/RECORD — —

top_level.txt

perfana