Installing and exploring Pandas
The minimal dependency set requirements for Pandas is given as follows:
- NumPy: This is the fundamental numerical array package that we installed and covered extensively in the preceding chapters
- python-dateutil: This is a date handling library
- pytz: This handles time zone definitions
This list is the bare minimum; a longer list of optional dependencies can be located at http://pandas.pydata.org/pandas-docs/stable/install.html. We can install Pandas via PyPI with pip or easy_install, using a binary installer, with the aid of our operating system package manager, or from the source by checking out the code. The binary installers can be downloaded from http://pandas.pydata.org/getpandas.html.
The command to install Pandas with pip is as follows:
$ pip3 install pandas rpy2
rpy2 is an interface to R and is required because rpy is being deprecated. You may have to prepend the preceding command with sudo if your user account doesn't have sufficient rights...
