jupyter notebook 学习笔记

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  import random
  ?random.choice()
  # 查看帮助

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??random.choice()
# 查看源码

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Signature: random.choice(seq)

Docstring: Choose a random element from a non-empty sequence.

File: i:\python364\lib\random.py

Type: method

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%lsmagic
# 查看所有魔法命令

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Available line magics:
%alias  %alias_magic  %autocall  %automagic  %autosave  %bookmark  %cd  %clear  %cls  %colors  %config  %connect_info  %copy  %ddir  %debug  %dhist  %dirs  %doctest_mode  %echo  %ed  %edit  %env  %gui  %hist  %history  %killbgscripts  %ldir  %less  %load  %load_ext  %loadpy  %logoff  %logon  %logstart  %logstate  %logstop  %ls  %lsmagic  %macro  %magic  %matplotlib  %mkdir  %more  %notebook  %page  %pastebin  %pdb  %pdef  %pdoc  %pfile  %pinfo  %pinfo2  %popd  %pprint  %precision  %profile  %prun  %psearch  %psource  %pushd  %pwd  %pycat  %pylab  %qtconsole  %quickref  %recall  %rehashx  %reload_ext  %ren  %rep  %rerun  %reset  %reset_selective  %rmdir  %run  %save  %sc  %set_env  %store  %sx  %system  %tb  %time  %timeit  %unalias  %unload_ext  %who  %who_ls  %whos  %xdel  %xmode

Available cell magics:
%%!  %%HTML  %%SVG  %%bash  %%capture  %%cmd  %%debug  %%file  %%html  %%javascript  %%js  %%latex  %%markdown  %%perl  %%prun  %%pypy  %%python  %%python2  %%python3  %%ruby  %%script  %%sh  %%svg  %%sx  %%system  %%time  %%timeit  %%writefile

Automagic is ON, % prefix IS NOT needed for line magics.

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%env AA = '123'
# 设置环境变量

%env
# 列出环境变量

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env: AA='123'
{'ACTEL_FOR_ALTIUM_OVERRIDE': ' ',
 'ALLUSERSPROFILE': 'D:\\ProgramData',
 'ALTERA_FOR_ALTIUM_OVERRIDE': ' ',
 'APPDATA': 'D:\\Users\\tracis\\AppData\\Roaming',
 'CLASSPATH': ' .;I:\\Java\\jdk1.8.0_101/lib/dt.jar;I:\\Java\\jdk1.8.0_101/lib/tools.jar',
 'COMMONPROGRAMFILES': 'D:\\Program Files (x86)\\Common Files',
 'COMMONPROGRAMFILES(X86)': 'D:\\Program Files (x86)\\Common Files',
 'COMMONPROGRAMW6432': 'D:\\Program Files\\Common Files',
 'COMPUTERNAME': 'HACPER-PC',
 'COMSPEC': 'D:\\WINDOWS\\system32\\cmd.exe',
 'DRIVERDATA': 'D:\\Windows\\System32\\Drivers\\DriverData',
 'ENVCONTAINERTELEMETRYAPICMDLINE': '-st "D:\\Program Files\\NVIDIA Corporation\\NvContainer\\NvContainerTelemetryApi.dll"',
 'ENVCONTAINERTELEMETRYAPICMDLINEX86': '-st "D:\\Program Files (x86)\\NVIDIA Corporation\\NvContainer\\NvContainerTelemetryApi.dll"',
 'FP_NO_HOST_CHECK': 'NO',
 'HOMEDRIVE': 'D:',
 'HOMEPATH': '\\Users\\tracis',
 'JAVA_HOME': 'I:\\Java\\jdk1.8.0_101',
 'K2PDFOPT_CUSTOM0': 'Last Settings;-o D:\\Users\\tracis\\Desktop\\%b_k2opt;',
 'K2PDFOPT_CUSTOM1': '2-column paper;-mode 2col;',
 'K2PDFOPT_CUSTOM2': 'Trim Margins;-mode fw;',
 'K2PDFOPT_WINPOS': '-8 -8 872 720',
 'KMP_DUPLICATE_LIB_OK': 'TRUE',
 'LOCALAPPDATA': 'D:\\Users\\tracis\\AppData\\Local',
 'LOGONSERVER': '\\\\HACPER-PC',
 'MKL_SERIAL': 'YES',
 'NIEXTCCOMPILERSUPP': 'I:\\National Instruments\\Shared\\ExternalCompilerSupport\\C\\',
 'NO_XILINX_DATA_LICENSE': 'HIDDEN',
 'NUMBER_OF_PROCESSORS': '4',
 'ONEDRIVE': 'D:\\Users\\tracis\\OneDrive',
 'OS': 'Windows_NT',
 'PATH': 'I:\\FFMPEG~1\\bin;D:\\PROGRA~1\\Docker\\Docker\\RESOUR~1\\bin;I:\\PHANTO~1.1-W\\bin;I:\\PYTHON~1\\Scripts;I:\\PYTHON~1;I:\\ANDROI~1\\PLATFO~2;D:\\Windows\\System32\\wbem;I:\\Java\\jdk1.8.0_101/bin;I:\\Java\\jdk1.8.0_101/jre/bin;D:\\Windows\\System32;I:\\gcc\\bin;i:\\quartus\\quartus\\bin;D:\\Windows;I:\\OpenVPN\\bin;I:\\calibre\\;I:\\ANDROI~1\\NDK-BU~1;I:\\Redis\\;I:\\Git\\cmd;I:\\MATLAB\\runtime\\win64;I:\\MATLAB\\bin;D:\\Windows\\System32\\WINDOW~1\\v1.0\\;D:\\WINDOWS\\system32;D:\\WINDOWS;D:\\WINDOWS\\System32\\Wbem;D:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;D:\\WINDOWS\\System32\\OpenSSH\\;D:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;I:\\Process Lasso\\;D:\\Users\\tracis\\AppData\\Local\\Microsoft\\WindowsApps;i:\\python364\\lib\\site-packages\\pywin32_system32;i:\\python364\\lib\\site-packages\\pywin32_system32',
 'PATHEXT': '.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC;.PY;.PYW',
 'PROCESSOR_ARCHITECTURE': 'x86',
 'PROCESSOR_ARCHITEW6432': 'AMD64',
 'PROCESSOR_IDENTIFIER': 'Intel64 Family 6 Model 61 Stepping 4, GenuineIntel',
 'PROCESSOR_LEVEL': '6',
 'PROCESSOR_REVISION': '3d04',
 'PROGRAMDATA': 'D:\\ProgramData',
 'PROGRAMFILES': 'D:\\Program Files (x86)',
 'PROGRAMFILES(X86)': 'D:\\Program Files (x86)',
 'PROGRAMW6432': 'D:\\Program Files',
 'PSMODULEPATH': 'D:\\WINDOWS\\system32\\WindowsPowerShell\\v1.0\\Modules\\',
 'PUBLIC': 'D:\\Users\\Public',
 'QUARTUS_ROOTDIR': 'i:\\quartus\\quartus',
 'SESSIONNAME': 'Console',
 'SYSTEMDRIVE': 'D:',
 'SYSTEMROOT': 'D:\\WINDOWS',
 'TEMP': 'K:\\temp',
 'TMP': 'K:\\temp',
 'USERDOMAIN': 'HACPER-PC',
 'USERDOMAIN_ROAMINGPROFILE': 'HACPER-PC',
 'USERNAME': 'tracis',
 'USERPROFILE': 'D:\\Users\\tracis',
 'WINDIR': 'D:\\WINDOWS',
 'WINDOWS_TRACING_FLAGS': '3',
 'XILINX_FOR_ALTIUM_OVERRIDE': ' ',
 'JPY_INTERRUPT_EVENT': '1248',
 'IPY_INTERRUPT_EVENT': '1248',
 'JPY_PARENT_PID': '1212',
 'TERM': 'xterm-color',
 'CLICOLOR': '1',
 'PAGER': 'cat',
 'GIT_PAGER': 'cat',
 'MPLBACKEND': 'module://ipykernel.pylab.backend_inline',
 'AA': "'123'"}

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%%file hello.txt
Hello, world
This is thing number 1
This is thing number 2
This is thing number 3

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Writing hello.txt

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%pycat hello.txt

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%who

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random

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%%time
import time

for i in range(10):
    time.sleep(0.01)

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Wall time: 106 ms

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%timeit
import numpy
%timeit numpy.random.normal(size=10)

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13.3 µs ± 624 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)

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%prun print('hello')

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hello

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%matplotlib inline
from matplotlib import pyplot as plt
import numpy
x = numpy.linspace(0, 1, 1000)**1.5

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plt.hist(x)
# 有输出

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(array([216., 126., 106.,  95.,  87.,  81.,  77.,  73.,  71.,  68.]),
 array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ]),
 <a list of 10 Patch objects>)

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plt.hist(x);

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!dir

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驱动器 K 中的卷是 DATA
卷的序列号是 537C-4A16

 K:\Workspace\python 的目录

2018/06/08  22:03    <DIR>          .
2018/06/08  22:03    <DIR>          ..
2018/06/08  20:39    <DIR>          .ipynb_checkpoints
2018/06/07  13:18    <DIR>          analyses_friend
2018/03/18  00:21    <DIR>          dataanalysis
2018/02/01  23:21    <DIR>          env
2018/06/07  23:20            10,575 fangzheng.ipynb
2018/03/24  22:47         1,780,465 get-pip.py
2018/03/02  00:44    <DIR>          gongzhonghao
2018/05/27  22:12    <DIR>          husespider
2018/03/17  15:53    <DIR>          jupyteconfig
2018/06/08  22:03            29,438 jupyter notebook.ipynb
2018/02/28  15:15    <DIR>          shuzixiaoyuan
2018/06/01  11:29            14,178 Untitled.ipynb
2018/05/25  07:53    <DIR>          wechatbot
2018/05/23  12:14    <DIR>          xuetangzaixian
2018/05/05  14:14             3,252 用 Python 统计字数.ipynb
               5 个文件      1,837,908 字节
              12 个目录 77,272,072,192 可用字节

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# packages, modules, imports, namespaces
import numpy as np
from scipy.misc import factorial

# function definition with default arguments


def poisson_pmf(k, mu=1):
    """Poisson PMF for value k with rate mu."""
    return mu**k * np.exp(-mu) / factorial(k)

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# Jupyter notebook "magic" function
# Sets up "inline" plotting
%matplotlib inline

# Importing the seaborn plotting library and setting defaults
import seaborn as sns
sns.set_context("notebook", font_scale=1.5)

# Variable assignment
n = np.arange(10)  # [0, 1, 2, ..., 0]

# Note that poisson_pmf is vectorized
sns.barplot(n, poisson_pmf(n, 2))

# pass is a do-nothing statement -
# Used here to suppress printing of return value for sns.barplot()
pass

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i:\python364\lib\site-packages\ipykernel_launcher.py:8: DeprecationWarning: `factorial` is deprecated!
Importing `factorial` from scipy.misc is deprecated in scipy 1.0.0. Use `scipy.special.factorial` instead.

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!python -m pip install https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master
!python -m  pip install jupyter_nbextensions_configurator
!jupyter contrib nbextension install
!jupyter nbextensions_configurator enable