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Python之ipython、noteb

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py3study
发布2020-01-07 17:25:05
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发布2020-01-07 17:25:05
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文章被收录于专栏:python3python3

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
代码语言:javascript
复制
备注:>?中文编码
#!/usr/bin/python#?-*-?coding:?UTF-8?-*-

以下进行逐步安装配置

代码语言:javascript
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python?3.5.2,?ipython?5.1.0,?jupyter?notebook,?matplotlib

1、安装python3.5

代码语言:javascript
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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pip

代码语言:javascript
复制
python?-m?pip?install?--upgrade?pip

3、使用pip安装ipython

代码语言:javascript
复制
pip.exe?install?ipython

????交互模式效果如下

代码语言:javascript
复制
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notebook

代码语言:javascript
复制
pip?install?notebook

????提示已成功安装的包和版本

代码语言:javascript
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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notebook

代码语言:javascript
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jupyter?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).

????web

wKiom1f7Sg6RiIrbAACIpDwBkwQ893.png-wh_50
wKiom1f7Sg6RiIrbAACIpDwBkwQ893.png-wh_50

5、安装画图工具 matplotlib

代码语言:javascript
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pip?install?matplotlib
pip?install?matplotlib?--upgrade

????结果提示

代码语言:javascript
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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:

https://my.oschina.net/bery/blog/203595

代码语言:javascript
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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()
wKiom1f7SguwFLYyAAD7gDkFtCk735.png-wh_50
wKiom1f7SguwFLYyAAD7gDkFtCk735.png-wh_50
代码语言:javascript
复制
%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()
wKioL1f7SgzwCqivAAB_1ji8cbI398.png-wh_50
wKioL1f7SgzwCqivAAB_1ji8cbI398.png-wh_50
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