@@ -646,21 +646,22 @@ def format(
646646 Using ``na_rep`` and ``precision`` with the default ``formatter``
647647
648648 >>> df = pd.DataFrame([[np.nan, 1.0, 'A'], [2.0, np.nan, 3.0]])
649- >>> df.style.format(na_rep='MISS', precision=3)
649+ >>> df.style.format(na_rep='MISS', precision=3) # doctest: +SKIP
650650 0 1 2
651651 0 MISS 1.000 A
652652 1 2.000 MISS 3.000
653653
654654 Using a ``formatter`` specification on consistent column dtypes
655655
656- >>> df.style.format('{:.2f}', na_rep='MISS', subset=[0,1])
656+ >>> df.style.format('{:.2f}', na_rep='MISS', subset=[0,1]) # doctest: +SKIP
657657 0 1 2
658658 0 MISS 1.00 A
659659 1 2.00 MISS 3.000000
660660
661661 Using the default ``formatter`` for unspecified columns
662662
663663 >>> df.style.format({0: '{:.2f}', 1: '£ {:.1f}'}, na_rep='MISS', precision=1)
664+ ... # doctest: +SKIP
664665 0 1 2
665666 0 MISS £ 1.0 A
666667 1 2.00 MISS 3.0
@@ -669,7 +670,7 @@ def format(
669670 ``formatter``.
670671
671672 >>> df.style.format(na_rep='MISS', precision=1, subset=[0])
672- ... .format(na_rep='PASS', precision=2, subset=[1, 2])
673+ ... .format(na_rep='PASS', precision=2, subset=[1, 2]) # doctest: +SKIP
673674 0 1 2
674675 0 MISS 1.00 A
675676 1 2.0 PASS 3.00
@@ -678,6 +679,7 @@ def format(
678679
679680 >>> func = lambda s: 'STRING' if isinstance(s, str) else 'FLOAT'
680681 >>> df.style.format({0: '{:.1f}', 2: func}, precision=4, na_rep='MISS')
682+ ... # doctest: +SKIP
681683 0 1 2
682684 0 MISS 1.0000 STRING
683685 1 2.0 MISS FLOAT
@@ -688,7 +690,7 @@ def format(
688690 >>> s = df.style.format(
689691 ... '<a href="a.com/{0}">{0}</a>', escape="html", na_rep="NA"
690692 ... )
691- >>> s.render()
693+ >>> s.render() # doctest: +SKIP
692694 ...
693695 <td .. ><a href="a.com/<div></div>"><div></div></a></td>
694696 <td .. ><a href="a.com/"A&B"">"A&B"</a></td>
@@ -698,7 +700,8 @@ def format(
698700 Using a ``formatter`` with LaTeX ``escape``.
699701
700702 >>> df = pd.DataFrame([["123"], ["~ ^"], ["$%#"]])
701- >>> s = df.style.format("\\textbf{{{}}}", escape="latex").to_latex()
703+ >>> df.style.format("\\textbf{{{}}}", escape="latex").to_latex()
704+ ... # doctest: +SKIP
702705 \begin{tabular}{ll}
703706 {} & {0} \\
704707 0 & \textbf{123} \\
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