Fix PEP-8 issues in sparse.rst (#23907)

Signed-off-by: Fabian Haase <haase.fabian@gmail.com>

Author: FHaase

doc/source/sparse.rst

@@ -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
 
@@ -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
@@ -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
@@ -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
 
@@ -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