How can I check which version of NumPy I'm using?
如何查看我使用的NumPy版本?
I'm using Mac OS X v10.6.1 (Snow Leopard).
我正在使用Mac OS X v10.6.1(Snow Leopard)。
11 个解决方案
#1
274
import numpy
numpy.version.version
#2
178
>> import numpy
>> print numpy.__version__
#3
40
From the command line, you can simply issue:
从命令行,您可以简单地发出:
python -c "import numpy; print(numpy.version.version)"
Or:
要么:
python -c "import numpy; print(numpy.__version__)"
#4
15
You can also check if your version is using MKL with:
您还可以检查您的版本是否使用MKL:
import numpy
numpy.show_config()
#5
8
Run:
跑:
pip list
Should generate a list of packages. Scroll through to numpy.
应该生成一个包列表。滚动到numpy。
...
nbpresent (3.0.2)
networkx (1.11)
nltk (3.2.2)
nose (1.3.7)
notebook (5.0.0)
numba (0.32.0+0.g139e4c6.dirty)
numexpr (2.6.2)
numpy (1.11.3) <--
numpydoc (0.6.0)
odo (0.5.0)
openpyxl (2.4.1)
pandas (0.20.1)
pandocfilters (1.4.1)
....
#6
7
We can use pip freeze
to get any Python package version without opening the Python shell.
我们可以使用pip freeze来获取任何Python包版本而无需打开Python shell。
pip freeze | grep 'numpy'
#7
4
You can try this:
你可以试试这个:
pip show numpy
pip show numpy
#8
3
If you're using NumPy from the Anaconda distribution, then you can just do:
如果您正在使用Anaconda发行版中的NumPy,那么您可以这样做:
$ conda list | grep numpy
numpy 1.11.3 py35_0
This gives the Python
version as well.
这也给出了Python版本。
If you want something fancy, then use numexpr
It gives lot of information as you can see below:
它提供了大量信息,如下所示:
In [692]: import numexpr
In [693]: numexpr.print_versions()
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Numexpr version: 2.6.2
NumPy version: 1.13.3
Python version: 3.6.3 |Anaconda custom (64-bit)|
(default, Oct 13 2017, 12:02:49)
[GCC 7.2.0]
Platform: linux-x86_64
AMD/Intel CPU? True
VML available? False
Number of threads used by default: 8 (out of 48 detected cores)
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
#9
2
For Python 3.X print syntax:
对于Python 3.X打印语法:
python -c "import numpy; print (numpy.version.version)"
Or
要么
python -c "import numpy; print numpy.__version__"
#10
1
import numpy
print numpy.__version__
#11
1
In a Python shell:
在Python shell中:
>>> help()
help> numpy
#1
274
import numpy
numpy.version.version
#2
178
>> import numpy
>> print numpy.__version__
#3
40
From the command line, you can simply issue:
从命令行,您可以简单地发出:
python -c "import numpy; print(numpy.version.version)"
Or:
要么:
python -c "import numpy; print(numpy.__version__)"
#4
15
You can also check if your version is using MKL with:
您还可以检查您的版本是否使用MKL:
import numpy
numpy.show_config()
#5
8
Run:
跑:
pip list
Should generate a list of packages. Scroll through to numpy.
应该生成一个包列表。滚动到numpy。
...
nbpresent (3.0.2)
networkx (1.11)
nltk (3.2.2)
nose (1.3.7)
notebook (5.0.0)
numba (0.32.0+0.g139e4c6.dirty)
numexpr (2.6.2)
numpy (1.11.3) <--
numpydoc (0.6.0)
odo (0.5.0)
openpyxl (2.4.1)
pandas (0.20.1)
pandocfilters (1.4.1)
....
#6
7
We can use pip freeze
to get any Python package version without opening the Python shell.
我们可以使用pip freeze来获取任何Python包版本而无需打开Python shell。
pip freeze | grep 'numpy'
#7
4
You can try this:
你可以试试这个:
pip show numpy
pip show numpy
#8
3
If you're using NumPy from the Anaconda distribution, then you can just do:
如果您正在使用Anaconda发行版中的NumPy,那么您可以这样做:
$ conda list | grep numpy
numpy 1.11.3 py35_0
This gives the Python
version as well.
这也给出了Python版本。
If you want something fancy, then use numexpr
It gives lot of information as you can see below:
它提供了大量信息,如下所示:
In [692]: import numexpr
In [693]: numexpr.print_versions()
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Numexpr version: 2.6.2
NumPy version: 1.13.3
Python version: 3.6.3 |Anaconda custom (64-bit)|
(default, Oct 13 2017, 12:02:49)
[GCC 7.2.0]
Platform: linux-x86_64
AMD/Intel CPU? True
VML available? False
Number of threads used by default: 8 (out of 48 detected cores)
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
#9
2
For Python 3.X print syntax:
对于Python 3.X打印语法:
python -c "import numpy; print (numpy.version.version)"
Or
要么
python -c "import numpy; print numpy.__version__"
#10
1
import numpy
print numpy.__version__
#11
1
In a Python shell:
在Python shell中:
>>> help()
help> numpy