Python之matplotlib和pandas 模块安装

Python之matplotlib模块安装

numpy
1、下载安装
源代码
http://sourceforge.net/projects/numpy/files/NumPy/
安装

python2.7 setup.py install

2、测试
导入numpy模块，出现如下错误：

[root@typhoeus79 numpy-1.8.0]# python2.7
Python 2.7.3 (default, Nov 27 2012, 17:47:24)
[GCC 4.1.2 20080704 (Red Hat 4.1.2-46)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "numpy/__init__.py", line 143, in <module>
raise ImportError(msg)
ImportError: Error importing numpy: you should not try to import numpy from
its source directory; please exit the numpy source tree, and relaunch
your python intepreter from there.
>>>

原因是在源代码安装的地方进行测试，当前目录有如下文件：

[root@typhoeus79 numpy-1.8.0]# ll
drwxr-xr-x 18  501 games 4096 Nov 13 17:57 numpy

换个目录就ok了

>>> import numpy
>>> print numpy.__version__
1.9.0.dev-4d0076f

matplotlib
1、安装准备
需要安装six模块
https://pypi.python.org/simple/six/
 

作用：
Six is a Python 2 and 3 compatibility library.  It provides utility functions
for smoothing over the differences between the Python versions with the goal of
writing Python code that is compatible on both Python versions.  See the
documentation for more information on what is provided.

 
需要安装pyparsing
http://pyparsing.wikispaces.com/Download+and+Installation

说明：
The pyparsing module is an alternative approach to creating and executing
simple grammars, vs. the traditional lex/yacc approach, or the use of
regular expressions.  The pyparsing module provides a library of classes
that client code uses to construct the grammar directly in Python code.

Here is a program to parse "Hello, World!" (or any greeting of the form
"<salutation>, <addressee>!"):

from pyparsing import Word, alphas
greet = Word( alphas ) + "," + Word( alphas ) + "!"
hello = "Hello, World!"
print hello, "->", greet.parseString( hello )

The program outputs the following:

Hello, World! -> ['Hello', ',', 'World', '!']

 
2、安装matplotlib
http://sourceforge.net/projects/matplotlib/?source=dlp

python2.7 setup.py install

>>> import matplotlib
>>> print matplotlib.__version__
1.3.1

http://matplotlib.org/1.3.1/api/pyplot_summary.html 
3、例子
代码：

"""
This example shows how to use a path patch to draw a bunch of
rectangles for an animated histogram
"""
import numpy as np

import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.path as path
import matplotlib.animation as animation

fig, ax = plt.subplots()

# histogram our data with numpy
data = np.random.randn(1000)
n, bins = np.histogram(data, 100)

# get the corners of the rectangles for the histogram
left = np.array(bins[:-1])
right = np.array(bins[1:])
bottom = np.zeros(len(left))
top = bottom + n
nrects = len(left)

# here comes the tricky part -- we have to set up the vertex and path
# codes arrays using moveto, lineto and closepoly

# for each rect: 1 for the MOVETO, 3 for the LINETO, 1 for the
# CLOSEPOLY; the vert for the closepoly is ignored but we still need
# it to keep the codes aligned with the vertices
nverts = nrects*(1+3+1)
verts = np.zeros((nverts, 2))
codes = np.ones(nverts, int) * path.Path.LINETO
codes[0::5] = path.Path.MOVETO
codes[4::5] = path.Path.CLOSEPOLY
verts[0::5,0] = left
verts[0::5,1] = bottom
verts[1::5,0] = left
verts[1::5,1] = top
verts[2::5,0] = right
verts[2::5,1] = top
verts[3::5,0] = right
verts[3::5,1] = bottom

barpath = path.Path(verts, codes)
patch = patches.PathPatch(barpath, facecolor='green', edgecolor='yellow', alpha=0.5)
ax.add_patch(patch)

ax.set_xlim(left[0], right[-1])
ax.set_ylim(bottom.min(), top.max())

def animate(i):
# simulate new data coming in
data = np.random.randn(1000)
n, bins = np.histogram(data, 100)
top = bottom + n
verts[1::5,1] = top
verts[2::5,1] = top

ani = animation.FuncAnimation(fig, animate, 100, repeat=False)

plt.savefig("./test.png") #测试环境属于CentOS release 5.4非界面版
#plt.show() #故show不出来

结果：



3、ipython
ipython 是一个 python 的交互式 shell，比默认的python shell 好用得多，支持变量自动补全，自动缩进，支持
bash shell 命令，内置了许多很有用的功能和函数。
https://github.com/ipython/ipython

[root@typhoeus79 20131113]# ipython
Python 2.4.3 (#1, Sep  3 2009, 15:37:37)
Type "copyright", "credits" or "license" for more information.

IPython 0.8.4 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object'. ?object also works, ?? prints more.

In [1]: %pycat test.
test.png  test.py   test.txt

In [1]: %pycat test.txt
test ipython

 从python版本看还是2.4.3，使用python2.7 setup.py install安装之后再次调用出现如下警告：

/usr/local/sinasrv2/lib/python2.7/site-packages/IPython/utils/path.py:424: UserWarning: Found old IPython config file u'/root/.ipython/ipy_user_conf.py' (modified by user)

将/root/.ipython移走即可。

以上内容转自：http://www.cnblogs.com/gsblog/p/3422106.html

####################
测试后：

4 出现ImportError: matplotlib requires dateutil

安装dateutil

下载：http://www.lfd.uci.edu/~gohlke/pythonlibs/#python-dateutil

安装：pip install python_dateutil-2.6.0-py2.py3-none-any.whl

5 运行： import matplotlib.cbook as cbook

AttributeError: 'module' object has no attribute 'cbook'

错误原因未找到；

可以运行import matplotlib

######

6 用$ conda install pandas 安装panda后，以上错误解除，可能由于版本原因吧。

Fetching package metadata: ....

Solving package specifications: .........

Package plan for installation in environment /home/admin/miniconda2:

The following packages will be downloaded:

    package                    |            build

    ---------------------------|-----------------

    mkl-11.3.3                 |                0       122.1 MB

    sqlite-3.13.0              |                0         4.0 MB

    python-2.7.12              |                1        12.1 MB

    enum34-1.1.6               |           py27_0          53 KB

    numpy-1.11.2               |           py27_0         6.2 MB

    pytz-2016.7                |           py27_0         177 KB

    ruamel_yaml-0.11.14        |           py27_0         352 KB

    six-1.10.0                 |           py27_0          16 KB

    conda-4.2.12               |           py27_0         373 KB

    python-dateutil-2.6.0      |           py27_0         232 KB

    pandas-0.19.1              |      np111py27_0        14.9 MB

    ------------------------------------------------------------

                                           Total:       160.4 MB

The following NEW packages will be INSTALLED:

    enum34:          1.1.6-py27_0

    mkl:             11.3.3-0

    numpy:           1.11.2-py27_0

    pandas:          0.19.1-np111py27_0

    python-dateutil: 2.6.0-py27_0

    pytz:            2016.7-py27_0

    ruamel_yaml:     0.11.14-py27_0

    six:             1.10.0-py27_0

The following packages will be UPDATED:

    conda:           4.0.5-py27_0 --> 4.2.12-py27_0

    conda-env:       2.4.5-py27_0 --> 2.6.0-0

    python:          2.7.11-0     --> 2.7.12-1

    sqlite:          3.9.2-0      --> 3.13.0-0

Proceed ([y]/n)?