@@ -51,7 +51,7 @@ Creating a ``DataFrame`` by passing a dict of objects that can be converted to s
5151 ' F' : ' foo' })
5252 df2
5353
54- The columns of the resulting ``DataFrame `` have different
54+ The columns of the resulting ``DataFrame `` have different
5555:ref: `dtypes <basics.dtypes >`.
5656
5757.. ipython :: python
@@ -65,7 +65,7 @@ will be completed:
6565.. ipython ::
6666
6767 @verbatim
68- In [1]: df2.<TAB>
68+ In [1]: df2.<TAB> # noqa: E225, E999
6969 df2.A df2.bool
7070 df2.abs df2.boxplot
7171 df2.add df2.C
@@ -495,7 +495,7 @@ Another example that can be given is:
495495 Append
496496~~~~~~
497497
498- Append rows to a dataframe. See the :ref: `Appending <merging.concatenation >`
498+ Append rows to a dataframe. See the :ref: `Appending <merging.concatenation >`
499499section.
500500
501501.. ipython :: python
@@ -528,14 +528,14 @@ See the :ref:`Grouping section <groupby>`.
528528 ' D' : np.random.randn(8 )})
529529 df
530530
531- Grouping and then applying the :meth: `~DataFrame.sum ` function to the resulting
531+ Grouping and then applying the :meth: `~DataFrame.sum ` function to the resulting
532532groups.
533533
534534.. ipython :: python
535535
536536 df.groupby(' A' ).sum()
537537
538- Grouping by multiple columns forms a hierarchical index, and again we can
538+ Grouping by multiple columns forms a hierarchical index, and again we can
539539apply the ``sum `` function.
540540
541541.. ipython :: python
@@ -671,7 +671,7 @@ Convert the raw grades to a categorical data type.
671671 df[" grade" ] = df[" raw_grade" ].astype(" category" )
672672 df[" grade" ]
673673
674- Rename the categories to more meaningful names (assigning to
674+ Rename the categories to more meaningful names (assigning to
675675``Series.cat.categories `` is inplace!).
676676
677677.. ipython :: python
@@ -720,7 +720,7 @@ See the :ref:`Plotting <visualization>` docs.
720720 @savefig series_plot_basic.png
721721 ts.plot()
722722
723- On a DataFrame, the :meth: `~DataFrame.plot ` method is a convenience to plot all
723+ On a DataFrame, the :meth: `~DataFrame.plot ` method is a convenience to plot all
724724of the columns with labels:
725725
726726.. ipython :: python
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