如何找到已安装的熊猫版本

I am having trouble with some of pandas functionalities. How do I check what is my installation version?

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)

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)

Simplest Solution

Code:

import pandas as pd
pd.__version__

**Its double underscore before and after the word “version”.

Output:

'0.14.1'

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

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

In a jupyter notebook cell: pip freeze | grep pandas