[ 原始碼: plfit ]
套件:python3-plfit(0.9.6+ds-2)
fitting power-law distributions to empirical data -- Python
The plfit software fits power-law distributions to empirical (discrete or continuous) data, according to the method of Clauset, Shalizi and Newman [SIAM Review 51, 661-703 (2009)].
This package provides a Python module.
其他與 python3-plfit 有關的套件
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- dep: libc6 (>= 2.14) [amd64]
- GNU C 函式庫:共用函式庫
同時作為一個虛擬套件由這些套件填實: libc6-udeb
- dep: libc6 (>= 2.17) [arm64, ppc64el]
- dep: libc6 (>= 2.27) [riscv64]
- dep: libc6 (>= 2.4) [除 amd64, arm64, ppc64el, riscv64]
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- dep: libplfit0 (>= 0.8.2)
- fitting power-law distributions to empirical data -- library
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- dep: libpython3.12t64 (>= 3.12.1)
- Shared Python runtime library (version 3.12)
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.13)
- dep: python3 (>= 3.12~)
下載 python3-plfit
硬體架構 | 套件大小 | 安裝後大小 | 檔案 |
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amd64 | 24。0 kB | 103。0 kB | [檔案列表] |
arm64 | 23。6 kB | 163。0 kB | [檔案列表] |
armel | 21。9 kB | 92。0 kB | [檔案列表] |
armhf | 21。3 kB | 80。0 kB | [檔案列表] |
i386 | 24。6 kB | 100。0 kB | [檔案列表] |
mips64el | 21。6 kB | 103。0 kB | [檔案列表] |
ppc64el | 26。0 kB | 163。0 kB | [檔案列表] |
riscv64 | 24。4 kB | 95。0 kB | [檔案列表] |
s390x | 23。4 kB | 103。0 kB | [檔案列表] |