. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441 2.5.23 Returning a view versus a copy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443 2.6 MultiIndex package and dependency updates. You can find simple installation instructions for pandas in this document: installation instructions . Installing from source See the contributing two-dimensional data source with labeled columns that can be of different types. As will be shown in this document, almost any operation that can be applied to a data set using SAS’s DATA step, can also be accomplished

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461 2.5.23 Returning a view versus a copy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464 2.6 MultiIndex package and dependency updates. You can find simple installation instructions for pandas in this document: installation instructions . Installing from source See the contributing two-dimensional data source with labeled columns that can be of different types. As will be shown in this document, almost any operation that can be applied to a data set using SAS’s DATA step, can also be accomplished

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461 2.5.23 Returning a view versus a copy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464 2.6 MultiIndex package and dependency updates. You can find simple installation instructions for pandas in this document: installation instructions . Installing from source See the contributing two-dimensional data source with labeled columns that can be of different types. As will be shown in this document, almost any operation that can be applied to a data set using SAS’s DATA step, can also be accomplished

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464 2.5.23 Returning a view versus a copy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 466 2.6 MultiIndex package and dependency updates. You can find simple installation instructions for pandas in this document: installation instructions . Installing from source See the contributing two-dimensional data source with labeled columns that can be of different types. As will be shown in this document, almost any operation that can be applied to a data set using SAS’s DATA step, can also be accomplished

package and dependency updates. You can find simple installation instructions for pandas in this document: installation instructions . Installing from source See the contributing two-dimensional data source with labeled columns that can be of different types. As will be shown in this document, almost any operation that can be applied to a data set using SAS’s DATA step, can also be accomplished two-dimensional data source with labeled columns that can be of different types. As will be shown in this document, almost any operation that can be applied to a data set in Stata can also be accomplished in pandas

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464 2.5.23 Returning a view versus a copy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 466 2.6 MultiIndex package and dependency updates. You can find simple installation instructions for pandas in this document: installation instructions . Installing from source See the contributing two-dimensional data source with labeled columns that can be of different types. As will be shown in this document, almost any operation that can be applied to a data set using SAS’s DATA step, can also be accomplished

index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 632 12.22 Returning a view versus a copy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 632 12.22 value_counts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1660 34.6.1.111pandas.Index.view . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1661 34.6.1.112pandas.Index value_counts . . . . . . . . . . . . . . . . . . . . . . . . . . . 1701 34.9.1.132pandas.MultiIndex.view . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1702 34.9.1.133pandas.MultiIndex.where

data analysis toolkit, Release 1.0.0 2.3.2 Viewing data See the Basics section. Here is how to view the top and bottom rows of the frame: In [13]: df.head() Out[13]: A B C D 2013-01-01 -0.521273 DataFrame(np.random.randn(8, 3), index=index, ...: columns=['A', 'B', 'C']) ...: 2.4.1 Head and tail To view a small sample of a Series or DataFrame object, use the head() and tail() methods. The default number DataFrame.to_numpy(), being a method, makes it clearer that the returned NumPy array may not be a view on the same data in the DataFrame. 2.4.3 Accelerated operations pandas has support for accelerating

index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 662 12.22 Returning a view versus a copy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 662 12.22 value_counts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1755 34.6.1.113pandas.Index.view . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1755 34.6.1.114pandas.Index value_counts . . . . . . . . . . . . . . . . . . . . . . . . . . . 1803 34.10.1.133pandas.MultiIndex.view . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1804 34.10.1.134pandas.MultiIndex

index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 630 12.22 Returning a view versus a copy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 630 12.22 caveats in the documentation: http://pandas.pydata.org/pandas-docs/ ˓→stable/indexing.html#indexing-view-versus-copy • merge, DataFrame.merge, and ordered_merge now return the same type as the left argument when using margins and a dict aggfunc (GH8349) • Bug in read_csv where squeeze=True would return a view (GH8217) • Bug in checking of table name in read_sql in certain cases (GH7826). • Bug in DataFrame