You could put this in an IPython cell:
import pandas as pd
import io
content = '''\
<<PASTE DATA HERE>>
'''
df = pd.read_table(io.BytesIO(content), ...)
Вопрос
Seems to me that there ought to be a way to read data from a file, ideally into a Pandas DataFrame and create the result in such a way that it becomes part of the notebook, so for instance you can store the data right in the notebook without needing external files?
That way you can send entire examples (obviously mainly for smaller data sets). It would also make doing examples way easier here on SO..
Any Ideas? Even via cut and paste ie output of a dataframe display?
Решение
You could put this in an IPython cell:
import pandas as pd
import io
content = '''\
<<PASTE DATA HERE>>
'''
df = pd.read_table(io.BytesIO(content), ...)
Другие советы
To elaborate for others: The dataframe data as below, was simply cut and pasted from the HTML rpr in IPython Notebook
import pandas as pd
import io
content2 = '''\
Units lastqu Uperchg lqperchg fcast errpercent nfcast fctperchg
2000-12-31 19391 NaN NaN NaN NaN NaN NaN NaN
2001-12-31 35068 5925 80.85 NaN 32838 -6.79 NaN NaN
2002-12-31 39279 8063 12.01 36.08 39750 1.18 42449 NaN
2003-12-31 47517 9473 20.97 17.49 44309 -7.24 43784 NaN
2004-12-31 51439 11226 8.25 18.51 49976 -2.93 53594 NaN
2005-12-31 59674 11667 16.01 3.93 51402 -16.09 52907 NaN
2006-12-31 58664 14016 -1.69 20.13 58997 0.56 68491 NaN
2007-12-31 55698 13186 -5.06 -5.92 56313 1.09 55995 NaN
2008-12-31 42235 11343 -24.17 -13.98 50355 16.13 49805 NaN
2009-12-31 40478 7867 -4.16 -30.64 39117 -3.48 32809 NaN
2010-12-31 38722 8114 -4.34 3.14 39915 2.99 41304 NaN
2011-12-31 36965 8361 -4.54 3.04 40714 9.21 39497 NaN
2012-12-31 39132 8608 5.86 2.95 41512 5.73 37690 NaN
2013-12-31 43160 9016 10.29 4.74 42832 -0.77 40376 NaN
2014-12-31 NaN 9785 NaN 8.53 45318 NaN 45665 5
'''
df2 = pd.read_table(io.BytesIO(content2))
df2
Results in a totally useable DataFrame