Python - Install matplotlib in Ubuntu using PIP

To install matplotlib in Ubuntu using PIP - execute the following command:

$ pip install matplotlib
Collecting matplotlib
  Downloading matplotlib-2.1.2-cp27-cp27mu-manylinux1_x86_64.whl (15.0MB)
    100% |████████████████████████████████| 15.0MB 81kB/s 
Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 (from matplotlib)
  Downloading pyparsing-2.2.0-py2.py3-none-any.whl (56kB)
    100% |████████████████████████████████| 61kB 3.4MB/s 
Collecting backports.functools-lru-cache (from matplotlib)
  Downloading backports.functools_lru_cache-1.4-py2.py3-none-any.whl
Collecting subprocess32 (from matplotlib)
  Downloading subprocess32-3.2.7.tar.gz (54kB)
    100% |████████████████████████████████| 61kB 4.2MB/s 
Collecting pytz (from matplotlib)
  Downloading pytz-2017.3-py2.py3-none-any.whl (511kB)
    100% |████████████████████████████████| 512kB 1.6MB/s 
Collecting six>=1.10 (from matplotlib)
  Downloading six-1.11.0-py2.py3-none-any.whl
Collecting python-dateutil>=2.1 (from matplotlib)
  Downloading python_dateutil-2.6.1-py2.py3-none-any.whl (194kB)
    100% |████████████████████████████████| 194kB 2.5MB/s 
Collecting cycler>=0.10 (from matplotlib)
  Downloading cycler-0.10.0-py2.py3-none-any.whl
Collecting numpy>=1.7.1 (from matplotlib)
  Downloading numpy-1.14.0-cp27-cp27mu-manylinux1_x86_64.whl (16.9MB)
    100% |████████████████████████████████| 16.9MB 70kB/s 
Building wheels for collected packages: subprocess32
  Running setup.py bdist_wheel for subprocess32 ... done
  Stored in directory: /home/shree/.cache/pip/wheels/7d/4c/a4/ce9ceb463dae01f4b95e670abd9afc8d65a45f38012f8030cc
Successfully built subprocess32
Installing collected packages: pyparsing, backports.functools-lru-cache, subprocess32, pytz, six, python-dateutil, cycler, numpy, matplotlib
Successfully installed backports.functools-lru-cache cycler matplotlib numpy-1.14.0 pyparsing python-dateutil-2.6.1 pytz-2017.3 six-1.11.0 subprocess32
You are using pip version 8.1.1, however version 9.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
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