. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1767 pandas.option_context . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1770 36 Internals 1771 in non-pandas code in the ap- plication. Starting with 0.19.0, pandas will use the numpy.errstate context manager to silence these warnings in a more fine-grained manner, only around where these operations both the c and python engines, both will now raise an EmptyDataError, a subclass of ValueError, in response to empty columns or header (GH12493, GH12506) Previous behaviour: In [1]: df = pd.read_csv(StringIO('')

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1772 pandas.option_context . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1775 36 Internals 1777 in non-pandas code in the ap- plication. Starting with 0.19.0, pandas will use the numpy.errstate context manager to silence these warnings in a more fine-grained manner, only around where these operations both the c and python engines, both will now raise an EmptyDataError, a subclass of ValueError, in response to empty columns or header (GH12493, GH12506) Previous behaviour: In [1]: df = pd.read_csv(StringIO('')

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1837 34.16.1.5 pandas.option_context . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1840 34.16.2 Testing functions in non-pandas code in the ap- plication. Starting with 0.19.0, pandas will use the numpy.errstate context manager to silence these warnings in a more fine-grained manner, only around where these operations both the c and python engines, both will now raise an EmptyDataError, a subclass of ValueError, in response to empty columns or header (GH12493, GH12506) Previous behaviour: In [1]: df = pd.read_csv(StringIO('')

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1704 34.16.1.5 pandas.option_context . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1707 34.16.2 Testing functions in non-pandas code in the ap- plication. Starting with 0.19.0, pandas will use the numpy.errstate context manager to silence these warnings in a more fine-grained manner, only around where these operations both the c and python engines, both will now raise an EmptyDataError, a subclass of ValueError, in response to empty columns or header (GH12493, GH12506) Previous behaviour: In [1]: df = pd.read_csv(StringIO('')

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1982 34.19.1.5 pandas.option_context . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1985 34.19.2 Testing functions in non-pandas code in the ap- plication. Starting with 0.19.0, pandas will use the numpy.errstate context manager to silence these warnings in a more fine-grained manner, only around where these operations both the c and python engines, both will now raise an EmptyDataError, a subclass of ValueError, in response to empty columns or header (GH12493, GH12506) Previous behaviour: In [1]: df = pd.read_csv(StringIO('')

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 of hard-coded country codes and the World Bank’s JSON response. In prior versions, the error messages didn’t look at the World Bank’s JSON response. Problem-inducing input were simply dropped prior to the

of hard-coded country codes and the World Bank’s JSON response. In prior versions, the error messages didn’t look at the World Bank’s JSON response. Problem-inducing input were simply dropped prior to the work now, but some bad countries will raise exceptions because some edge cases break the entire response. (GH8482) • Added option to Series.str.split() to return a DataFrame rather than a Series (GH8428) 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’):

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