问题：如何找到已安装的熊猫版本
我在使用某些熊猫功能时遇到了麻烦。如何检查我的安装版本是什么？
I am having trouble with some of pandas functionalities. How do I check what is my installation version?
回答 0
检查pandas.__version__：
In [76]: import pandas as pd
In [77]: pd.__version__
Out[77]: '0.12.0-933-g281dc4e'
Pandas还提供了一个实用程序功能，它还pd.show_versions()报告其依赖项的版本：
In [53]: pd.show_versions(as_json=False)
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Linux
OS-release: 3.13.0-45-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
pandas: 0.15.2-113-g5531341
nose: 1.3.1
Cython: 0.21.1
numpy: 1.8.2
scipy: 0.14.0.dev-371b4ff
statsmodels: 0.6.0.dev-a738b4f
IPython: 2.0.0-dev
sphinx: 1.2.2
patsy: 0.3.0
dateutil: 1.5
pytz: 2012c
bottleneck: None
tables: 3.1.1
numexpr: 2.2.2
matplotlib: 1.4.2
openpyxl: None
xlrd: 0.9.3
xlwt: 0.7.5
xlsxwriter: None
lxml: 3.3.3
bs4: 4.3.2
html5lib: 0.999
httplib2: 0.8
apiclient: None
rpy2: 2.5.5
sqlalchemy: 0.9.8
pymysql: None
psycopg2: 2.4.5 (dt dec mx pq3 ext)
Check pandas.__version__:
In [76]: import pandas as pd
In [77]: pd.__version__
Out[77]: '0.12.0-933-g281dc4e'
Pandas also provides a utility function, pd.show_versions(), which reports the version of its dependencies as well:
In [53]: pd.show_versions(as_json=False)
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Linux
OS-release: 3.13.0-45-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
pandas: 0.15.2-113-g5531341
nose: 1.3.1
Cython: 0.21.1
numpy: 1.8.2
scipy: 0.14.0.dev-371b4ff
statsmodels: 0.6.0.dev-a738b4f
IPython: 2.0.0-dev
sphinx: 1.2.2
patsy: 0.3.0
dateutil: 1.5
pytz: 2012c
bottleneck: None
tables: 3.1.1
numexpr: 2.2.2
matplotlib: 1.4.2
openpyxl: None
xlrd: 0.9.3
xlwt: 0.7.5
xlsxwriter: None
lxml: 3.3.3
bs4: 4.3.2
html5lib: 0.999
httplib2: 0.8
apiclient: None
rpy2: 2.5.5
sqlalchemy: 0.9.8
pymysql: None
psycopg2: 2.4.5 (dt dec mx pq3 ext)
回答 1
跑：
pip list
您应该获得软件包（包括熊猫）及其版本的列表，例如：
beautifulsoup4 (4.5.1)
cycler (0.10.0)
jdcal (1.3)
matplotlib (1.5.3)
numpy (1.11.1)
openpyxl (2.2.0b1)
pandas (0.18.1)
pip (8.1.2)
pyparsing (2.1.9)
python-dateutil (2.2)
python-nmap (0.6.1)
pytz (2016.6.1)
requests (2.11.1)
setuptools (20.10.1)
six (1.10.0)
SQLAlchemy (1.0.15)
xlrd (1.0.0)
Run:
pip list
You should get a list of packages (including panda) and their versions, e.g.:
beautifulsoup4 (4.5.1)
cycler (0.10.0)
jdcal (1.3)
matplotlib (1.5.3)
numpy (1.11.1)
openpyxl (2.2.0b1)
pandas (0.18.1)
pip (8.1.2)
pyparsing (2.1.9)
python-dateutil (2.2)
python-nmap (0.6.1)
pytz (2016.6.1)
requests (2.11.1)
setuptools (20.10.1)
six (1.10.0)
SQLAlchemy (1.0.15)
xlrd (1.0.0)
回答 2
最简单的解决方案
码：
import pandas as pd
pd.__version__
**在“版本”一词之前和之后，其双下划线。
输出：
'0.14.1'
Simplest Solution
Code:
import pandas as pd
pd.__version__
**Its double underscore before and after the word “version”.
Output:
'0.14.1'
回答 3
跑
pip freeze
它的工作原理与上述相同。
pip show pandas
显示有关特定软件包的信息。有关更多信息，请查看pip help
Run
pip freeze
It works the same as above.
pip show pandas
Displays information about a specific package.
For more information, check out pip help
回答 4
视窗
python -c "import pandas as pd; print(pd.__version__)"
conda list | findstr pandas # Anaconda / Conda
pip freeze | findstr pandas
pip show pandas | findstr Version
的Linux
python -c "import pandas as pd; print(pd.__version__)"
conda list | grep numpy # Anaconda / Conda
pip freeze | grep numpy # pip
Windows
python -c "import pandas as pd; print(pd.__version__)"
conda list | findstr pandas # Anaconda / Conda
pip freeze | findstr pandas
pip show pandas | findstr Version
Linux
python -c "import pandas as pd; print(pd.__version__)"
conda list | grep numpy # Anaconda / Conda
pip freeze | grep numpy # pip
回答 5
在jupyter笔记本计算机中： pip freeze | grep pandas
In a jupyter notebook cell: pip freeze | grep pandas
