seconds, milliseconds, microseconds and nanoseconds respectively. Default ‘ms’. • default_handler : The handler to call if an object cannot otherwise be converted to a suitable format for JSON. Takes a unrecognised object then that will be called and its returned dict will be JSON serialised. • if a default_handler has been passed to to_json that will be called to convert the object. • otherwise an attempt is OverflowError. Your best bet when encountering OverflowError during serialisation is to specify a default_handler. For example timedelta can cause problems: In [141]: from datetime import timedelta In [142]: dftd

seconds, milliseconds, microseconds and nanoseconds respectively. Default ‘ms’. • default_handler : The handler to call if an object cannot otherwise be converted to a suitable format for JSON. Takes a unrecognised object then that will be called and its returned dict will be JSON serialised. • if a default_handler has been passed to to_json that will be called to convert the object. 19.2. JSON 535 pandas: powerful OverflowError. Your best bet when encountering OverflowError during serialisation is to specify a default_handler. For example timedelta can cause problems: In [141]: from datetime import timedelta In [142]: dftd

seconds, milliseconds, microseconds and nanoseconds respectively. Default ‘ms’. • default_handler : The handler to call if an object cannot otherwise be converted to a suitable format for JSON. Takes a unrecognised object then that will be called and its returned dict will be JSON serialized. • if a default_handler has been passed to to_json that will be called to convert the object. • otherwise an attempt is OverflowError. Your best bet when encountering OverflowError during serialization is to specify a default_handler. For example timedelta can cause problems: In [141]: from datetime import timedelta In [142]: dftd

seconds, milliseconds, microseconds and nanoseconds respectively. Default ‘ms’. • default_handler : The handler to call if an object cannot otherwise be converted to a suitable format for JSON. Takes a unrecognised object then that will be called and its returned dict will be JSON serialized. • if a default_handler has been passed to to_json that will be called to convert the object. • otherwise an attempt is OverflowError. Your best bet when encountering OverflowError during serialization is to specify a default_handler. For example timedelta can cause problems: In [141]: from datetime import timedelta In [142]: dftd

seconds, milliseconds, microseconds and nanoseconds respectively. Default ‘ms’. • default_handler : The handler to call if an object cannot otherwise be converted to a suitable format for JSON. Takes a unrecognised object then that will be called and its returned dict will be JSON serialized. • if a default_handler has been passed to to_json that will be called to convert the object. 782 Chapter 24. IO Tools (Text OverflowError. Your best bet when encountering OverflowError during serialization is to specify a default_handler. For example timedelta can cause problems: In [141]: from datetime import timedelta In [142]: dftd

datetime64[ns,tz] dtypes (GH10778). • Bug in DataFrame.to_json with unsupported dtype not passed to default handler (GH12554). • Bug in .align not returning the sub-class (GH12983) • Bug in aligning a Series with seconds, milliseconds, microseconds and nanoseconds respectively. Default ‘ms’. • default_handler : The handler to call if an object cannot otherwise be converted to a suitable format for JSON. Takes a fallback in the following manner: • if the dtype is unsupported (e.g. np.complex) then the default_handler, if provided, will be called for each value, otherwise an exception is raised. • if an object is

datetime64[ns,tz] dtypes (GH10778). • Bug in DataFrame.to_json with unsupported dtype not passed to default handler (GH12554). • Bug in .align not returning the sub-class (GH12983) • Bug in aligning a Series with seconds, milliseconds, microseconds and nanoseconds respectively. Default ‘ms’. • default_handler : The handler to call if an object cannot otherwise be converted to a suitable format for JSON. Takes a fallback in the following manner: • if the dtype is unsupported (e.g. np.complex) then the default_handler, if provided, will be called for each value, otherwise an exception is raised. • if an object is

seconds, milliseconds, microseconds and nanoseconds respectively. Default ‘ms’. • default_handler : The handler to call if an object cannot otherwise be converted to a suitable format for JSON. Takes a back in the following manner: • if the dtype is unsupported (e.g. np.complex) then the default_handler, if provided, will be called for each value, otherwise an exception is raised. • if an object is A toDict method should return a dict which will then be JSON serialized. – invoke the default_handler if one was provided. 258 Chapter 3. User Guide pandas: powerful Python data analysis toolkit, Release

seconds, milliseconds, microseconds and nanoseconds respectively. Default ‘ms’. • default_handler : The handler to call if an object cannot otherwise be converted to a suitable format for JSON. Takes a back in the following manner: • if the dtype is unsupported (e.g. np.complex) then the default_handler, if provided, will be called for each value, otherwise an exception is raised. • if an object is A toDict method should return a dict which will then be JSON serialized. – invoke the default_handler if one was provided. – convert the object to a dict by traversing its contents. However this will

seconds, milliseconds, microseconds and nanoseconds respectively. Default ‘ms’. • default_handler : The handler to call if an object cannot otherwise be converted to a suitable format for JSON. Takes a back in the following manner: • if the dtype is unsupported (e.g. np.complex) then the default_handler, if provided, will be called for each value, otherwise an exception is raised. • if an object is A toDict method should return a dict which will then be JSON serialized. – invoke the default_handler if one was provided. – convert the object to a dict by traversing its contents. However this will