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13 changes: 7 additions & 6 deletions doc/source/sparse.rst
Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,9 @@
:suppress:
import numpy as np
np.random.seed(123456)
import pandas as pd
import pandas.util.testing as tm
np.random.seed(123456)
np.set_printoptions(precision=4, suppress=True)
pd.options.display.max_rows = 15
Expand All @@ -26,7 +26,7 @@ data structures have a ``to_sparse`` method:

.. ipython:: python
ts = pd.Series(randn(10))
ts = pd.Series(np.random.randn(10))
ts[2:-2] = np.nan
sts = ts.to_sparse()
sts
Expand All @@ -44,7 +44,7 @@ large, mostly NA ``DataFrame``:

.. ipython:: python
df = pd.DataFrame(randn(10000, 4))
df = pd.DataFrame(np.random.randn(10000, 4))
df.iloc[:9998] = np.nan
sdf = df.to_sparse()
sdf
Expand Down Expand Up @@ -94,7 +94,8 @@ distinct from the ``fill_value``:
.. ipython:: python
arr = np.random.randn(10)
arr[2:5] = np.nan; arr[7:8] = np.nan
arr[2:5] = np.nan
arr[7:8] = np.nan
sparr = pd.SparseArray(arr)
sparr
Expand Down Expand Up @@ -244,7 +245,7 @@ The method requires a ``MultiIndex`` with two or more levels.
(1, 1, 'b', 1),
(2, 1, 'b', 0),
(2, 1, 'b', 1)],
names=['A', 'B', 'C', 'D'])
names=['A', 'B', 'C', 'D'])
s
# SparseSeries
Expand Down