containing sparse arrays. Returns dtype [Series] Series with the count of columns with each type and sparsity (dense/sparse) See also: ftypes Return ftypes (indication of sparse/dense and dtype) in this object Returns pandas.Series The data type of each column. See also: pandas.DataFrame.ftypes Dtype and sparsity information. 1336 Chapter 6. API Reference pandas: powerful Python data analysis toolkit, Release containing sparse arrays. Returns dtype [Series] Series with the count of columns with each type and sparsity (dense/sparse) See also: ftypes Return ftypes (indication of sparse/dense and dtype) in this object

containing sparse arrays. Returns dtype [Series] Series with the count of columns with each type and sparsity (dense/sparse). See also: ftypes Return ftypes (indication of sparse/dense and dtype) in this more. Returns pandas.Series The data type of each column. See also: DataFrame.ftypes Dtype and sparsity information. Examples >>> df = pd.DataFrame({'float': [1.0], ... 'int': [1], ... 'datetime': containing sparse arrays. Returns dtype [Series] Series with the count of columns with each type and sparsity (dense/sparse). See also: ftypes Return ftypes (indication of sparse/dense and dtype) in this

containing sparse arrays. Returns dtype [Series] Series with the count of columns with each type and sparsity (dense/sparse). See also: ftypes Return ftypes (indication of sparse/dense and dtype) in this more. Returns pandas.Series The data type of each column. See also: DataFrame.ftypes Dtype and sparsity information. Examples >>> df = pd.DataFrame({'float': [1.0], ... 'int': [1], ... 'datetime': containing sparse arrays. Returns dtype [Series] Series with the count of columns with each type and sparsity (dense/sparse). See also: ftypes Return ftypes (indication of sparse/dense and dtype) in this