python交互式和文件式区别_Python交互式编程

Python之ipython、notebook、matplotlib安装使用

交互式编程不需要创建脚本文件，是通过 Python 解释器的交互模式进来编写代码。linux上你只需要在命令行中输入 Python 命令即可启动交互式编程

Window上在安装Python时已经已经安装了默认的交互式编程客户端备注：> 中文编码

#!/usr/bin/python# -*- coding: UTF-8 -*-

以下进行逐步安装配置python 3.5.2, ipython 5.1.0, jupyter notebook, matplotlib

1、安装python3.5具体安装请参考官方文档。安装程序时注意勾选配置环境变量。https://www.python.org/downloads/windows/

2、升级pippython -m pip install –upgrade pip

3、使用pip安装ipythonpip.exe install ipython

交互模式效果如下D:\tools>ipython

Python 3.5.2 (v3.5.2:4def2a2901a5, Jun 25 2016, 22:01:18) [MSC v.1900 32 bit (Intel)]Type “copyright”, “credits” or “license” for more information.

IPython 5.1.0 — An enhanced Interactive Python.? -> Introduction and overview of IPython‘s features.

%quickref -> Quick reference.

help -> Python‘s own help system.

object? -> Details about ‘object‘, use ‘object??‘ for extra details.In [1]: print(‘hello world!‘)

hello world!In [2]: a = [‘Windows‘,‘10‘,‘Python‘,‘3.5.2‘,‘ipython‘,‘jupyter notebook‘]In [3]: aOut[3]: [‘Windows‘, ‘10‘, ‘Python‘, ‘3.5.2‘, ‘ipython‘, ‘jupyter notebook‘]In [4]: for i in a:

…: print(i)

…:

Windows10Python3.5.2ipython

jupyter notebookIn [5]:

4、使用pip安装notebookpip install notebook

提示已成功安装的包和版本Installing collected packages: jupyter-core, MarkupSafe, jinja2, jsonschema, nbformat, entrypoints, mistune, nbconvert, tornado, pyzmq, jupyter-client, ipykernel, notebook

Running setup.py install for MarkupSafe … done

Successfully installed MarkupSafe-0.23 entrypoints-0.2.2 ipykernel-4.5.0 jinja2-2.8 jsonschema-2.5.1 jupyter-client-4.4.0 jupyter-core-4.2.0 mistune-0.7.3 nbconvert-4.2.0 nbformat-4.1.0 notebook-4.2.3 pyzmq-15.4.0 tornado-4.4.2

在工作目录下启动notebookjupyter notebook

D:\tools>jupyter notebook

[W 07:44:23.940 NotebookApp] Widgets are unavailable. Please install widgetsnbextension or ipywidgets 4.0[I 07:44:23.955 NotebookApp] The port 8888 is already in use, trying another port.

[I 07:44:24.143 NotebookApp] Serving notebooks from local directory: D:\tools

[I 07:44:24.143 NotebookApp] 0 active kernels

[I 07:44:24.143 NotebookApp] The Jupyter Notebook is running at: http://localhost:8889/

[I 07:44:24.143 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).

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5、安装画图工具 matplotlibpip install matplotlib

pip install matplotlib –upgrade

结果提示Installing collected packages: cycler, pytz, pyparsing, numpy, python-dateutil, matplotlib

Successfully installed cycler-0.10.0 matplotlib-1.5.3 numpy-1.11.2 pyparsing-2.1.10 python-dateutil-2.5.3 pytz-2016.7

6、测试

b图像测试代码来源：import numpy as np

import matplotlib.pyplot as plt

N = 5

menMeans = (20, 35, 30, 35, 27)

menStd = (2, 3, 4, 1, 2)

ind = np.arange(N) # the x locations for the groups

width = 0.35 # the width of the bars

fig, ax = plt.subplots()

rects1 = ax.bar(ind, menMeans, width, color=‘r‘, yerr=menStd)

womenMeans = (25, 32, 34, 20, 25)

womenStd = (3, 5, 2, 3, 3)

rects2 = ax.bar(ind+width, womenMeans, width, color=‘y‘, yerr=womenStd)

# add some

ax.set_ylabel(‘Scores‘)

ax.set_title(‘Scores by group and gender‘)

ax.set_xticks(ind+width)

ax.set_xticklabels( (‘G1‘, ‘G2‘, ‘G3‘, ‘G4‘, ‘G5‘) )

ax.legend( (rects1[0], rects2[0]), (‘Men‘, ‘Women‘) )

def autolabel(rects):

# attach some text labels

for rect in rects:

height = rect.get_height()

ax.text(rect.get_x()+rect.get_width()/2., 1.05*height, ‘%d‘%int(height),

ha=‘center‘, va=‘bottom‘)

autolabel(rects1)

autolabel(rects2)

plt.show()

%matplotlib inline

import numpy as np

import matplotlib.pyplot as plt

x = np.arange(9)

y = np.sin(x)

plt.plot(x,y)

plt.show()

原文地址：http://bennychen.blog.51cto.com//