[ buster ]
[ 原始碼： stimfit ]
套件：python-stfio（0.15.8-1 以及其他的）
Python module to read common electrophysiology file formats.
The stfio module allows you to read common electrophysiology file formats from Python. Axon binaries (abf), Axon text (atf), HEKA (dat), CFS (dat/cfs), Axograph (axgd/axgx) are currently supported.
其他與 python-stfio 有關的套件
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- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- 或者 libblas.so.3
- 本虛擬套件由這些套件填實： libatlas3-base, libblas3, libblis2-openmp, libblis2-pthread, libblis2-serial, libopenblas-base
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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]
- dep: libc6 (>= 2.7) [armhf, i386]
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- dep: libcholmod3 (>= 1:4.5.2)
- sparse Cholesky factorization library for sparse matrices
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- dep: libfftw3-double3 (>= 3.3.5)
- Library for computing Fast Fourier Transforms - Double precision
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- dep: libgcc1 (>= 1:3.0) [除 armhf]
- GCC 支援函式庫
- dep: libgcc1 (>= 1:3.5) [armhf]
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- dep: libhdf5-103
- Hierarchical Data Format 5 (HDF5) - runtime files - serial version
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- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- 或者 liblapack.so.3
- 本虛擬套件由這些套件填實： libatlas3-base, liblapack3, libopenblas-base
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- dep: libpython2.7 (>= 2.7)
- Shared Python runtime library (version 2.7)
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- dep: libstdc++6 (>= 5.2)
- GNU Standard C++ Library v3
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- dep: libsuitesparse-dev
- libraries for sparse matrices computations (development files)
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- dep: python
- interactive high-level object-oriented language (Python2 version)
- dep: python (<< 2.8)
- dep: python (>= 2.7~)
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- dep: python-numpy (>= 1:1.14.3)
- Numerical Python adds a fast array facility to the Python language
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- dep: python-numpy-abi9
- 本虛擬套件由這些套件填實： python-numpy
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- dep: python2.7
- Interactive high-level object-oriented language (version 2.7)
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- dep: zlib1g (>= 1:1.1.4)
- 壓縮函式庫 - 跑程式時用(runtime)
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- dep: zlib1g-dev
- compression library - development
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- rec: python-matplotlib
- Python based plotting system in a style similar to Matlab
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- rec: python-pandas
- data structures for "relational" or "labeled" data
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- rec: python-scipy
- scientific tools for Python