pivot_table() now accepts most iterables for the values parameter (GH12017) • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572) a new type of index object that is useful for supporting indexing with dupli- cates. This is a container around a Categorical (introduced in v0.15.0) and allows efficient indexing and storage of an index homogeneous data had its own labels and extra care was necessary to keep those in sync with the parent container’s labels. This should not have any visible user/API behavior changes (GH6745) API changes • read_excel

pivot_table() now accepts most iterables for the values parameter (GH12017) • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572) a new type of index object that is useful for supporting indexing with dupli- cates. This is a container around a Categorical (introduced in v0.15.0) and allows efficient indexing and storage of an index homogeneous data had its own labels and extra care was necessary to keep those in sync with the parent container’s labels. This should not have any visible user/API behavior changes (GH6745) API changes • read_excel

a new type of index object that is useful for supporting indexing with dupli- cates. This is a container around a Categorical (introduced in v0.15.0) and allows efficient indexing and storage of an index homogeneous data had its own labels and extra care was necessary to keep those in sync with the parent container’s labels. This should not have any visible user/API behavior changes (GH6745) 1.9.1 API changes BigQuery Data Sets by way of pandas DataFrames. BigQuery is a high performance SQL-like database service, useful for performing ad-hoc queries against extremely large datasets. See the docs from pandas

homogeneous data had its own labels and extra care was necessary to keep those in sync with the parent container’s labels. This should not have any visible user/API behavior changes (GH6745) 1.5.1 API changes BigQuery Data Sets by way of pandas DataFrames. BigQuery is a high performance SQL-like database service, useful for performing ad-hoc queries against extremely large datasets. See the docs from pandas with pandas doesn’t involve installing pandas at all. Wakari is a free service that provides a hosted IPython Notebook service in the cloud. Simply create an account, and have access to pandas from within

homogeneous data had its own labels and extra care was necessary to keep those in sync with the parent container’s labels. This should not have any visible user/API behavior changes (GH6745) 1.4.1 API changes BigQuery Data Sets by way of pandas DataFrames. BigQuery is a high performance SQL-like database service, useful for performing ad-hoc queries against extremely large datasets. See the docs from pandas with pandas doesn’t involve installing pandas at all. Wakari is a free service that provides a hosted IPython Notebook service in the cloud. Simply create an account, and have access to pandas from within

flexible containers for lower dimensional data. For example, DataFrame is a container for Series, and Series is a container for scalars. We would like to be able to insert and remove objects from these "1357257600000":true,"1357344000000":true}} Fallback behavior If the JSON serializer cannot handle the container contents directly it will fall back in the following manner: • if the dtype is unsupported (e.g if this condition is not satisfied. • labels are ordered. Labels are only read from the first container, it is assumed that each subsequent row / column has been encoded in the same order. This should

flexible containers for lower dimensional data. For example, DataFrame is a container for Series, and Series is a container for scalars. We would like to be able to insert and remove objects from these "1357257600000":true,"1357344000000":true}} Fallback behavior If the JSON serializer cannot handle the container contents directly it will fall back in the following manner: • if the dtype is unsupported (e.g if this condition is not satisfied. • labels are ordered. Labels are only read from the first container, it is assumed that each subsequent row / column has been encoded in the same order. This should

(GH21948) • Series.str.cat() has deprecated using arbitrary list-likes within list-likes. A list-like container may still contain many Series, Index or 1-dimensional np.ndarray, or alternatively, only scalar flexible containers for lower dimensional data. For example, DataFrame is a container for Series, and Series is a container for scalars. We would like to be able to insert and remove objects from these future version. See the section Deprecate Panel. Panel is a somewhat less-used, but still important container for 3-dimensional data. The term panel data is derived from econometrics and is partially responsible

pivot_table() now accepts most iterables for the values parameter (GH12017) • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572) a new type of index object that is useful for supporting indexing with dupli- cates. This is a container around a Categorical (introduced in v0.15.0) and allows efficient indexing and storage of an index homogeneous data had its own labels and extra care was necessary to keep those in sync with the parent container’s labels. This should not have any visible user/API behavior changes (GH6745) 1.18.1 API changes

pivot_table() now accepts most iterables for the values parameter (GH12017) • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572) a new type of index object that is useful for supporting indexing with dupli- cates. This is a container around a Categorical (introduced in v0.15.0) and allows efficient indexing and storage of an index homogeneous data had its own labels and extra care was necessary to keep those in sync with the parent container’s labels. This should not have any visible user/API behavior changes (GH6745) 1.17.1 API changes