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def flatten(x):
    if hasattr(x, '__iter__') and not isinstance(x, str):
        for y in x:
            yield from flatten(y)
    else:
        yield x

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def flatten(x):
    if hasattr(x, '__iter__') and not isinstance(x, str):
        for y in x:
            yield from flatten(y)
    else:
        yield x

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trace = Bar(x=list(range(10)), y=list(np.random.randint(0,30,10)))
data = Data([trace])
py.image.save_as(data, filename='bar.png')

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import plotly.plotly as py
from plotly.graph_objs import *

trace0 = Scatter(
    x=[1, 2, 3, 4],
    y=[10, 15, 13, 17]
)

trace1 = Scatter(
    x=[1, 2, 3, 4],

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import msvcrt
def inp():
    w = []
    while True:
        w.append(msvcrt.getwch())
        if w[-1] == '\x10': break
    return ''.join(w[:-1])

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In [175]: for i in range(len(df.mean().index)):
   .....:     plt.bar(i, df.mean().iloc[i].gross, label=df.mean().index[i], color='0.{0}1'.format(i))
   .....:

In [176]: plt.legend(loc='best')
Out[176]: <matplotlib.legend.Legend at 0xc5c1770>

In [177]: plt.show()

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import sys
import math

def compass(n):
    cells = math.ceil(math.sqrt(n))
    maps = [[[] for _ in range(cells)] for __ in range(cells)]
    row = math.ceil(cells//2)
    col = row if cells%2 == 0 else row + 1
    pos = 'S'
    direction = {

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>>> for s in ('C-c', 'C-s', 'C-r'):
...     print(s)
...     msvcrt.getch()
...
C-c
b'\x03'
C-s
b'\x13'
C-r
b'\x12'

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s='Supercalifragilisticexpialidocious';[print(''.join(__import__('random').sample(s,len(s)))) for _ in s]

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Supercalifragilisticexpialidocious = lambda x: ''.join(random.sample(x ,len(x))