DataFrame(columns=list("ABC")).empty Out[52]: True To evaluate single-element pandas objects in a boolean context, use the method bool(): In [53]: pd.Series([True]).bool() Out[53]: True In [54]: pd.Series([False]) 469388 9 9 0.357021 -0.67460 -1.776904 -0.968914 Changed in version 1.2: read_csv/json/sas return a context-manager when iterating through a file. Specifying iterator=True will also return the TextFileReader of which are denoted with a special attribute xmlns. In order to parse by node under a namespace context, xpath must reference a prefix. For example, below XML contains a namespace with prefix, doc, and

DataFrame(columns=list("ABC")).empty Out[52]: True To evaluate single-element pandas objects in a boolean context, use the method bool(): In [53]: pd.Series([True]).bool() Out[53]: True In [54]: pd.Series([False]) page) 9 9 0.357021 -0.67460 -1.776904 -0.968914 Changed in version 1.2: read_csv/json/sas return a context-manager when iterating through a file. Specifying iterator=True will also return the TextFileReader of which are denoted with a special attribute xmlns. In order to parse by node under a namespace context, xpath must reference a prefix. For example, below XML contains a namespace with prefix, doc, and

DataFrame(columns=list("ABC")).empty Out[52]: True To evaluate single-element pandas objects in a boolean context, use the method bool(): In [53]: pd.Series([True]).bool() Out[53]: True In [54]: pd.Series([False]) page) 9 9 0.357021 -0.67460 -1.776904 -0.968914 Changed in version 1.2: read_csv/json/sas return a context-manager when iterating through a file. Specifying iterator=True will also return the TextFileReader of which are denoted with a special attribute xmlns. In order to parse by node under a namespace context, xpath must reference a prefix. For example, below XML contains a namespace with prefix, doc, and

DataFrame(columns=list("ABC")).empty Out[52]: True To evaluate single-element pandas objects in a boolean context, use the method bool(): In [53]: pd.Series([True]).bool() Out[53]: True In [54]: pd.Series([False]) 469388 9 9 0.357021 -0.67460 -1.776904 -0.968914 Changed in version 1.2: read_csv/json/sas return a context-manager when iterating through a file. Specifying iterator=True will also return the TextFileReader of which are denoted with a special attribute xmlns. In order to parse by node under a namespace context, xpath must reference a prefix. For example, below XML contains a namespace with prefix, doc, and

DataFrame(columns=list("ABC")).empty Out[52]: True To evaluate single-element pandas objects in a boolean context, use the method bool(): In [53]: pd.Series([True]).bool() Out[53]: True In [54]: pd.Series([False]) 9 9 -1.226825 0.769804 -1.281247 -0.727707 Changed in version 1.2: read_csv/json/sas return a context-manager when iterating through a file. Specifying iterator=True will also return the TextFileReader of which are denoted with a special attribute xmlns. In order to parse by node under a namespace context, xpath must reference a prefix. For example, below XML contains a namespace with prefix, doc, and

DataFrame(columns=list("ABC")).empty Out[52]: True To evaluate single-element pandas objects in a boolean context, use the method bool(): In [53]: pd.Series([True]).bool() Out[53]: True In [54]: pd.Series([False]) 9 9 -1.226825 0.769804 -1.281247 -0.727707 Changed in version 1.2: read_csv/json/sas return a context-manager when iterating through a file. Specifying iterator=True will also return the TextFileReader of which are denoted with a special attribute xmlns. In order to parse by node under a namespace context, xpath must reference a prefix. For example, below XML contains a namespace with prefix, doc, and

2,3,4], columns=[0,1,2,3,4]) # show dimensions since this is truncated In [20]: with pd.option_context(’display.max_rows’, 2, ’display.max_columns’, 2, ....: ’display.show_dimensions’, ’truncate’): rows x 5 columns] # will not show dimensions since it is not truncated In [21]: with pd.option_context(’display.max_rows’, 10, ’display.max_columns’, 40, ....: ’display.show_dimensions’, ’truncate’): Similar to pandas.eval, DataFrame has a new DataFrame.eval method that evaluates an expression in the context of the DataFrame. For example, In [113]: df = DataFrame(randn(10, 2), columns=[’a’, ’b’]) In [114]:

module (GH8325). • Series now works with map objects the same way as generators (GH8909). • Added context manager to HDFStore for automatic closing (GH8791). • to_datetime gains an exact keyword to allow columns is a MultiIndex whose labels do not reference all its levels. (GH8844) • Bug in that Option context applied on __enter__ (GH8514) • Bug in resample that causes a ValueError when resampling across 2,3,4], columns=[0,1,2,3,4]) # show dimensions since this is truncated In [20]: with pd.option_context(’display.max_rows’, 2, ’display.max_columns’, 2, ....: ’display.show_dimensions’, ’truncate’):

2,3,4], columns=[0,1,2,3,4]) # show dimensions since this is truncated In [20]: with pd.option_context(’display.max_rows’, 2, ’display.max_columns’, 2, ....: ’display.show_dimensions’, ’truncate’): rows x 5 columns] # will not show dimensions since it is not truncated In [21]: with pd.option_context(’display.max_rows’, 10, ’display.max_columns’, 40, ....: ’display.show_dimensions’, ’truncate’): Similar to pandas.eval, DataFrame has a new DataFrame.eval method that evaluates an expression in the context of the DataFrame. For example, In [113]: df = DataFrame(randn(10, 2), columns=[’a’, ’b’]) In [114]:

module (GH8325). • Series now works with map objects the same way as generators (GH8909). • Added context manager to HDFStore for automatic closing (GH8791). • to_datetime gains an exact keyword to allow columns is a MultiIndex whose labels do not reference all its levels. (GH8844) • Bug in that Option context applied on __enter__ (GH8514) • Bug in resample that causes a ValueError when resampling across 2,3,4], columns=[0,1,2,3,4]) # show dimensions since this is truncated In [20]: with pd.option_context('display.max_rows', 2, 'display.max_columns', 2, ....: 'display.show_dimensions', 'truncate'):