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Sep 24, 2013
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CLN: change print to print() in docs #4972

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21 changes: 11 additions & 10 deletions doc/source/basics.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -860,7 +860,7 @@ Thus, for example:
.. ipython::

In [0]: for col in df:
...: print col
...: print(col)
...:

iteritems
Expand All @@ -878,8 +878,8 @@ For example:
.. ipython::

In [0]: for item, frame in wp.iteritems():
...: print item
...: print frame
...: print(item)
...: print(frame)
...:


Expand All @@ -895,19 +895,19 @@ containing the data in each row:
.. ipython::

In [0]: for row_index, row in df2.iterrows():
...: print '%s\n%s' % (row_index, row)
...: print('%s\n%s' % (row_index, row))
...:

For instance, a contrived way to transpose the dataframe would be:

.. ipython:: python

df2 = DataFrame({'x': [1, 2, 3], 'y': [4, 5, 6]})
print df2
print df2.T
print(df2)
print(df2.T)

df2_t = DataFrame(dict((idx,values) for idx, values in df2.iterrows()))
print df2_t
print(df2_t)

.. note::

Expand All @@ -918,8 +918,8 @@ For instance, a contrived way to transpose the dataframe would be:

df_iter = DataFrame([[1, 1.0]], columns=['x', 'y'])
row = next(df_iter.iterrows())[1]
print row['x'].dtype
print df_iter['x'].dtype
print(row['x'].dtype)
print(df_iter['x'].dtype)

itertuples
~~~~~~~~~~
Expand All @@ -932,7 +932,8 @@ For instance,

.. ipython:: python

for r in df2.itertuples(): print r
for r in df2.itertuples():
print(r)

.. _basics.string_methods:

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4 changes: 2 additions & 2 deletions doc/source/dsintro.rst
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Expand Up @@ -586,7 +586,7 @@ R package):
.. ipython:: python

baseball = read_csv('data/baseball.csv')
print baseball
print(baseball)

.. ipython:: python
:suppress:
Expand All @@ -599,7 +599,7 @@ DataFrame in tabular form, though it won't always fit the console width:

.. ipython:: python

print baseball.iloc[-20:, :12].to_string()
print(baseball.iloc[-20:, :12].to_string())

New since 0.10.0, wide DataFrames will now be printed across multiple rows by
default:
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2 changes: 1 addition & 1 deletion doc/source/gotchas.rst
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Expand Up @@ -372,7 +372,7 @@ of the new set of columns rather than the original ones:

.. ipython:: python

print open('tmp.csv').read()
print(open('tmp.csv').read())

date_spec = {'nominal': [1, 2], 'actual': [1, 3]}
df = read_csv('tmp.csv', header=None,
Expand Down
8 changes: 4 additions & 4 deletions doc/source/groupby.rst
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Expand Up @@ -282,17 +282,17 @@ natural and functions similarly to ``itertools.groupby``:
In [4]: grouped = df.groupby('A')

In [5]: for name, group in grouped:
...: print name
...: print group
...: print(name)
...: print(group)
...:

In the case of grouping by multiple keys, the group name will be a tuple:

.. ipython::

In [5]: for name, group in df.groupby(['A', 'B']):
...: print name
...: print group
...: print(name)
...: print(group)
...:

It's standard Python-fu but remember you can unpack the tuple in the for loop
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18 changes: 9 additions & 9 deletions doc/source/indexing.rst
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Expand Up @@ -1149,7 +1149,7 @@ and stop are **inclusive** in the label-based case:
.. ipython:: python

date1, date2 = dates[[2, 4]]
print date1, date2
print(date1, date2)
df.ix[date1:date2]
df['A'].ix[date1:date2]

Expand Down Expand Up @@ -1211,10 +1211,10 @@ scalar values, though setting arbitrary vectors is not yet supported:

df2 = df[:4]
df2['foo'] = 'bar'
print df2
print(df2)
df2.ix[2] = np.nan
print df2
print df2.dtypes
print(df2)
print(df2.dtypes)

.. _indexing.view_versus_copy:

Expand Down Expand Up @@ -1639,13 +1639,13 @@ instance:
midx = MultiIndex(levels=[['zero', 'one'], ['x','y']],
labels=[[1,1,0,0],[1,0,1,0]])
df = DataFrame(randn(4,2), index=midx)
print df
print(df)
df2 = df.mean(level=0)
print df2
print df2.reindex(df.index, level=0)
print(df2)
print(df2.reindex(df.index, level=0))
df_aligned, df2_aligned = df.align(df2, level=0)
print df_aligned
print df2_aligned
print(df_aligned)
print(df2_aligned)


The need for sortedness with :class:`~pandas.MultiIndex`
Expand Down
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