Python之ipython、noteb
- 2020 年 1 月 7 日
- 筆記
Python之ipython、notebook、matplotlib安裝使用
交互式編程不需要創建腳本文件，是通過 Python 解釋器的交互模式進來編寫代碼。
- linux上你只需要在命令行中輸入 Python 命令即可啟動交互式編程
- Window上在安裝Python時已經已經安裝了默認的交互式編程客戶端
備註：> 中文編碼 #!/usr/bin/python# -*- coding: UTF-8 -*-
以下進行逐步安裝配置
python 3.5.2, ipython 5.1.0, jupyter notebook, matplotlib
1、安裝python3.5
具體安裝請參考官方文檔。安裝程序時注意勾選配置環境變量。https://www.python.org/downloads/windows/
2、升級pip
python -m pip install --upgrade pip
3、使用pip安裝ipython
pip.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安裝notebook
pip install notebook
提示已成功安裝的包和版本
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
在工作目錄下啟動notebook
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
5、安裝畫圖工具 matplotlib
pip install matplotlib pip install matplotlib --upgrade
結果提示
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、測試
b圖像測試代碼來源：
https://my.oschina.net/bery/blog/203595
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()
