cf.DimensionCoordinate

class cf.DimensionCoordinate(properties={}, attributes={}, data=None, bounds=None, source=None, copy=True)

Bases: cf.coordinate.Coordinate

A CF dimension coordinate construct.

Attributes

Attribute	Type	Description
climatology	bool	Whether or not the bounds are intervals of climatological time. Presumed to be False if unset.

Initialization

Parameters: Parameters:

properties: dict, optional

Initialize a new instance with CF properties from a dictionary’s key/value pairs.

attributes: dict, optional

Provide the new instance with attributes from a dictionary’s key/value pairs.

data: cf.Data, optional

Provide the new instance with an N-dimensional data array.

bounds: cf.Data or cf.Bounds, optional

Provide the new instance with cell bounds.

source: cf.BoundedVariable, optional

Take the attributes, CF properties and data array from the source object. Any attributes, CF properties or data array specified with other parameters are set after initialisation from the source instance.

copy: bool, optional

If False then do not copy arguments prior to initialization. By default arguments are deep copied.

CF properties

add_offset	The add_offset CF property.
axis	The axis CF property.
calendar	The calendar CF property.
comment	The comment CF property.
_FillValue	The _FillValue CF property.
history	The history CF property.
leap_month	The leap_month CF property.
leap_year	The leap_year CF property.
long_name	The long_name CF property.
missing_value	The missing_value CF property.
month_lengths	The month_lengths CF property.
positive	The positive CF property.
scale_factor	The scale_factor CF property.
standard_name	The standard_name CF property.
units	The units CF property.
valid_max	The valid_max CF property.
valid_min	The valid_min CF property.
valid_range	The valid_range CF property.

Attributes

array	A numpy array deep copy of the data array.
binary_mask	A binary (0 and 1) missing data mask of the data array.
bounds	The cf.Bounds object containing the cell bounds.
cellsize	A cf.Data object containing the coordinate cell sizes.
ctype	The CF coordinate type.
data	The cf.Data object containing the data array.
day	The day of each date-time data array element.
dtarray	An independent numpy array of date-time objects.
dtype	Numpy data-type of the data array.
hour	The hour of each date-time data array element.
hardmask	Whether the mask is hard (True) or soft (False).
hasbounds	True if there are cell bounds.
isauxiliary	False, denoting that the variable is not an auxiliary coordinate object.
isdimension	True, denoting that the variable is a dimension coordinate object.
isscalar	True if the data array is scalar.
lower_bounds	The lower dimension coordinate bounds in a cf.Data object.
mask	The mask of the data array.
minute	The minute of each date-time data array element.
month	The month of each date-time data array element.
ndim	The number of dimensions in the data array.
second	The second of each date-time data array element.
shape	A tuple of the data array’s dimension sizes.
size	The number of elements in the data array.
subspace	Return a new bounded variable whose data and bounds are subspaced in a consistent manner.
T	True if and only if the coordinates are for a CF T axis.
unique()	The unique elements of the data array.
Units	The Units object containing the units of the data array.
upper_bounds	The upper dimension coordinate bounds in a cf.Data object.
varray	A numpy array view of the data array.
X	True if and only if the coordinates are for a CF X axis.
Y	True if and only if the coordinates are for a CF Y axis.
year	The year of each date-time data array element.
Z	True if and only if the coordinates are for a CF Z axis.

Methods

asauxiliary	Return the coordinate recast as an auxiliary coordinate.
asdimension	Return the dimension coordinate.
attributes	Inspect or change attributes which are not CF properties.
chunk	Partition the data array.
clip	Limit the values in the data array.
close	Close all files referenced by the dimension coordinate.
contiguous	Return True if a dimension coordinate has contiguous cells.
convert_reference_time	Convert reference time data values to have new units.
copy	Return a deep copy.
cos	Take the trigonometric cosine of the data array.
datum	Return an element of the data array as a standard Python scalar.
delprop	Delete a CF property.
direction	Return True if the dimension coordinate values are increasing, otherwise return False.
dump	Return a string containing a full description of the coordinate.
equals	True if two dimension coordinates are equal, False otherwise.
expand_dims	Insert a size 1 axis into the data array.
files	Return the names of any files containing parts of the data array.
fill_value	Return the data array missing data value.
flip	Flip dimensions of the data array and bounds in place.
get_bounds	Get or create the cell bounds.
getprop	Get a CF property.
hasprop	Return True if a CF property exists, otherise False.
HDF_chunks	Specify HDF5 chunks for the data array.
identity	Return the identity of the dimension coordinate.
insert_bounds	Insert cell bounds.
insert_data	Insert a new data array.
match	Determine whether or not a variable satisfies conditions.
max	The maximum of the data array.
mean	The unweighted mean the data array.
mid_range	The unweighted average of the maximum and minimum of the data array.
min	The minimum of the data array.
name	Return a name for the dimension coordinate.
override_units	New in version 2.0.
period	Set the period for cyclic coordinates.
properties	Inspect or change the CF properties.
range	The absolute difference between the maximum and minimum of the data array.
sample_size	The number of non-missing data elements in the data array.
sd	The unweighted sample standard deviation of the data array.
select	cf.DimensionCoordinate.select has been deprecated.
setprop	Set a CF property.
sin	The trigonometric sine of the data array.
squeeze	Remove size 1 dimensions from the data array
sum	The sum of the data array.
tan	The trigonometric tangent of the data array.
transpose	Permute the dimensions of the data.
unique	The unique elements of the data array.
var	The unweighted sample variance of the data array.
where	Set data array elements depending on a condition.