def display_to_value(value, default_value, ignore_errors=True): """Convert back to value""" from qtpy.compat import from_qvariant value = from_qvariant(value, to_text_string) try: np_dtype = get_numpy_dtype(default_value) if isinstance(default_value, bool): # We must test for boolean before NumPy data types # because `bool` class derives from `int` class try: value = bool(float(value)) except ValueError: value = value.lower() == "true" elif np_dtype is not None: if 'complex' in str(type(default_value)): value = np_dtype(complex(value)) else: value = np_dtype(value) elif is_binary_string(default_value): value = to_binary_string(value, 'utf8') elif is_text_string(default_value): value = to_text_string(value) elif isinstance(default_value, complex): value = complex(value) elif isinstance(default_value, float): value = float(value) elif isinstance(default_value, int): try: value = int(value) except ValueError: value = float(value) elif isinstance(default_value, datetime.datetime): value = datestr_to_datetime(value) elif isinstance(default_value, datetime.date): value = datestr_to_datetime(value).date() elif isinstance(default_value, datetime.timedelta): value = str_to_timedelta(value) elif ignore_errors: value = try_to_eval(value) else: value = eval(value) except (ValueError, SyntaxError): if ignore_errors: value = try_to_eval(value) else: return default_value return value
def value_to_display(value, minmax=False, level=0): """Convert value for display purpose""" # To save current Numpy printoptions np_printoptions = FakeObject try: numeric_numpy_types = (int64, int32, int16, int8, uint64, uint32, uint16, uint8, float64, float32, float16, complex128, complex64, bool_) if ndarray is not FakeObject: # Save printoptions np_printoptions = get_printoptions() # Set max number of elements to show for Numpy arrays # in our display set_printoptions(threshold=10) if isinstance(value, recarray): if level == 0: fields = value.names display = 'Field names: ' + ', '.join(fields) else: display = 'Recarray' elif isinstance(value, MaskedArray): display = 'Masked array' elif isinstance(value, ndarray): if level == 0: if minmax: try: display = 'Min: %r\nMax: %r' % (value.min(), value.max()) except (TypeError, ValueError): if value.dtype.type in numeric_numpy_types: display = str(value) else: display = default_display(value) elif value.dtype.type in numeric_numpy_types: display = str(value) else: display = default_display(value) else: display = 'Numpy array' elif any([type(value) == t for t in [list, set, tuple, dict]]): display = collections_display(value, level+1) elif isinstance(value, Image): if level == 0: display = '%s Mode: %s' % (address(value), value.mode) else: display = 'Image' elif isinstance(value, DataFrame): if level == 0: cols = value.columns if PY2 and len(cols) > 0: # Get rid of possible BOM utf-8 data present at the # beginning of a file, which gets attached to the first # column header when headers are present in the first # row. # Fixes Issue 2514 try: ini_col = to_text_string(cols[0], encoding='utf-8-sig') except: ini_col = to_text_string(cols[0]) cols = [ini_col] + [to_text_string(c) for c in cols[1:]] else: cols = [to_text_string(c) for c in cols] display = 'Column names: ' + ', '.join(list(cols)) else: display = 'Dataframe' elif isinstance(value, NavigableString): # Fixes Issue 2448 display = to_text_string(value) if level > 0: display = u"'" + display + u"'" elif isinstance(value, Index): if level == 0: try: display = value._summary() except AttributeError: display = value.summary() else: display = 'Index' elif is_binary_string(value): # We don't apply this to classes that extend string types # See issue 5636 if is_type_text_string(value): try: display = to_text_string(value, 'utf8') if level > 0: display = u"'" + display + u"'" except: display = value if level > 0: display = b"'" + display + b"'" else: display = default_display(value) elif is_text_string(value): # We don't apply this to classes that extend string types # See issue 5636 if is_type_text_string(value): display = value if level > 0: display = u"'" + display + u"'" else: display = default_display(value) elif (isinstance(value, datetime.date) or isinstance(value, datetime.timedelta)): display = str(value) elif (isinstance(value, NUMERIC_TYPES) or isinstance(value, bool) or isinstance(value, numeric_numpy_types)): display = repr(value) else: if level == 0: display = default_display(value) else: display = default_display(value, with_module=False) except: display = default_display(value) # Truncate display at 70 chars to avoid freezing Spyder # because of large displays if len(display) > 70: if is_binary_string(display): ellipses = b' ...' else: ellipses = u' ...' display = display[:70].rstrip() + ellipses # Restore Numpy printoptions if np_printoptions is not FakeObject: set_printoptions(**np_printoptions) return display