[ipython-notebook] ipython related #python

ipython-clip-magic.py

"""
Add copy to clipboard from IPython!
To install, just copy it to your profile/startup directory, typically:

    ~/.ipython/profile_default/startup/

Example usage:

    %clip hello world
    # will store "hello world"
    a = [1, 2, 3]
    %clip a
    # will store "[1, 2, 3]"
    %clip_eval pd.to_dict()

You can also use it with cell magic

    In [1]: %%clip
       ...: Even multi
       ...: lines
       ...: work!
       ...:

If you don't have a variable named 'clip' you can rely on automagic:

    clip hey man
    a = [1, 2, 3]
    clip a

"""

import subprocess
import sys

from IPython.core.magic import register_line_cell_magic

def _copy_to_clipboard(output, use_eval=False):
    if use_eval:
        try:
            output = repr(eval(output))
        except Exception as e:
            print(e)
            return
    else:
        output = str(globals().get(output) or output)

    process = subprocess.Popen(
        'pbcopy', env={'LANG': 'en_US.UTF-8'}, stdin=subprocess.PIPE)
    process.communicate(output.encode('utf-8'))

    print('Copied to clipboard!')

@register_line_cell_magic
def clip_eval(line, cell=None):
    if line and cell:
        cell = '\n'.join((line, cell))

    _copy_to_clipboard(cell or line, use_eval=True)

@register_line_cell_magic
def clip(line, cell=None):
    if line and cell:
        cell = '\n'.join((line, cell))

    _copy_to_clipboard(cell or line, use_eval=False)

# We delete it to avoid name conflicts for automagic to work
del clip

ipython-pdb.py

import sys
from IPython.core.debugger import Pdb

def set_trace():
    Pdb().set_trace(sys._getframe().f_back)

def debug(f, *args, **argv):
    return Pdb().runcall(f, *args, **argv)

ipython-snakeviz.py

%%snakeviz

import glob
files = glob.glob('*.txt')
for file in files:
    with open(file) as f:
        print(hashlib.md5(f.read().encode('utf-8')).hexdigest())

ipython-startup.py

import os
import sys

import matplotlib as mpl
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# change default rcParam
plt.rcParams['savefig.dpi'] = 200
plt.rcParams['figure.dpi'] = 150

# Pandas options
pd.options.display.max_columns = 30
pd.options.display.max_rows = 20

from IPython import get_ipython
ipython = get_ipython()

# If in ipython, load autoreload extension
if 'ipython' in globals():
    print('\nWelcome to IPython!')
    ipython.magic('load_ext snakeviz')
    ipython.magic('load_ext autoreload')
    ipython.magic('autoreload 2')
	ipython.magic("config InlineBackend.figure_format = 'retina'")

# Display all cell outputs in notebook
from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.ast_node_interactivity = 'all'

# debug
def alert():
    from IPython.display import Javascript
    from IPython.display import display
    js = """alert("All done!");"""
    display(Javascript(js))

def set_trace():
    from IPython.core.debugger import Pdb
    Pdb().set_trace(sys._getframe().f_back)

def debug(f, *args, **argv):
    from IPython.core.debugger import Pdb
    return Pdb().runcall(f, *args, **argv)

import seaborn as sns
sns.set()

print('whiledonig - Your favorite libraries have been loaded.')