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Xarray.Dataarray.Str.Get – Get Englisch

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i ( int or array-like of int) – Position of element to extract. If array-like, it is broadcast. default ( str or bytes, default: „“) – Value for out-of-range index. Returns: items ( array of object) previous Parameters: key (str) – Name of variable / child within this node. Must lie in this immediate node (not elsewhere in the tree). default (DataTree | DataArray | None, optional) – A This page provides an auto-generated summary of xarray’s API. For more details and examples, refer to the relevant chapters in the main part of the documentation. See also: What parts of

Xarray Fundamentals

xarray.DataArray.str.extract # DataArray.str.extract(pat, dim, case=None, flags=0) [source] # Extract the first match of capture groups in the regex pat as a new dimension in a New to xarray? Check out the getting started guides. They contain an introduction to Xarray’s main concepts and links to additional tutorials.

xarray.DataArray.str.index

xarray.DataArray.dt.year # DataArray.dt.year # The year of the datetime DataArray provides a wrapper around numpy ndarrays that uses labeled dimensions and coordinates to support metadata aware operations. The API is similar to that for the pandas xarray.DataArray.str.slice # DataArray.str.slice(start=None, stop=None, step=None) [source] # Slice substrings from each string in the array. If start, stop, or ‘step` is

Convert this dataset into an xarray.DataArray The data variables of this dataset will be broadcast against each other and stacked along the first axis of the new array.

xarray.Variable # class xarray.Variable(dims, data, attrs=None, encoding=None, fastpath=False) [source] # A netcdf-like variable consisting of dimensions, data and attributes

xarray.DataArray.variable # property DataArray.variable # Low level interface to the Variable object for this DataArray. xarray.DataArray.str.slice_replace # DataArray.str.slice_replace(start=None, stop=None, repl=“) [source] # Replace a positional slice of a string with another value. If start, stop, or ‘repl` is xarray.IndexVariable # class xarray.IndexVariable(dims, data, attrs=None, encoding=None, fastpath=False) [source] # Wrapper for accommodating a pandas.Index in an

DataArray: xarray.DataArray is xarray’s implementation of a labeled, multi-dimensional array. It has several key properties: values: a numpy.ndarray or numpy-like array holding the array’s Xarray offers extremely flexible indexing routines that combine the best features of NumPy and pandas for data selection. The most basic way to access

  • xarray.DataArray.str.translate
  • xarray.DataArray.resample
  • xarray.DataArray.str.format

Parameters: key (str) – Name of variable / child within this node. Must lie in this immediate node (not elsewhere in the tree). default (DataTree | DataArray | None, optional) – A value to return if xarray.DataArray.sel # DataArray.sel(indexers=None, method=None, tolerance=None, drop=False, **indexers_kwargs) [source] # Return a new DataArray whose xarray.DataArray.astype # DataArray.astype(dtype, *, order=None, casting=None, subok=None, copy=None, keep_attrs=True) [source] # Copy of the xarray object, with data

xarray.DataArray.str.contains

Attributes: ndarray attributes: DataArray contents: Indexing: Missing value handling: Comparisons: Computation: Aggregation: ndarray methods: String manipulation DataArray provides a wrapper around numpy ndarrays that uses labeled dimensions and coordinates to support metadata aware operations. The API is similar to that for the pandas

xarray.DataArray.get_axis_num # DataArray.get_axis_num(dim) [source] # Return axis number (s) corresponding to dimension (s) in this array. Parameters: dim (str or iterable of str) –

I am looking for a way of extracting a list of the data variable names (strings) from a xarray.DataSet object. I have used xr_object.data_vars and xr_object.data_vars.keys() but xarray.DataArray.str.contains # DataArray.str.contains(pat, case=None, flags=0, regex=True) [source] # Test if pattern or regex is contained within each string of the array.

Xarray offers extremely flexible indexing routines that combine the best features of NumPy and pandas for data selection. The most basic way to access elements of a DataArray object is to i (int or array-like of int) – Position of element to extract. If array-like, it is broadcast. default (str or bytes, default: „“) – Value for out-of-range index. Returns:

(PDF) Xarray: N-D Labeled Arrays and Datasets in Python · Xarray: N-D ...

Parameters: dataset (Dataset, optional) – Data to store directly at this node. children (Mapping[str, DataTree], optional) – Any child nodes of this node. name (str, optional) xarray.Dataset # class xarray.Dataset(data_vars=None, coords=None, attrs=None) [source] # A multi-dimensional, in memory, array database. A dataset resembles xarray.DataArray.str.replace # DataArray.str.replace(pat, repl, n=-1, case=None, flags=0, regex=True) [source] # Replace occurrences of pattern/regex in the array with some

Note that this array is not copied; operations on it follow numpy’s rules of what generates a view vs. a copy, and changes to this array may be reflected in the DataArray as well. xarray.DataArray.dtype # property DataArray.dtype # Data-type of the array’s elements.

[docs] defset_crs(self,input_crs:Any,inplace:bool=True)->Union[xarray.Dataset,xarray.DataArray]:“““ Set the CRS value for the Dataset/DataArray xarray.DataArray.data # property DataArray.data # The DataArray’s data as an array. The underlying array type (e.g. dask, sparse, pint) is preserved.

xarray.DataArray.resample # DataArray.resample(indexer=None, *, skipna=None, closed=None, label=None, offset=None, origin=’start_day‘, restore_coord_dims=None,

xarray.core.accessor_str.StringAccessor # class xarray.core.accessor_str.StringAccessor(obj) [source] # Vectorized string functions for string

xarray.DataArray.str.translate # DataArray.str.translate(table) [source] # Map characters of each string through the given mapping table. Parameters: table (dict-like from and to str or bytes or

xarray.DataArray.str.normalize # DataArray.str.normalize(form) [source] # Return the Unicode normal form for the strings in the datarray. For more information on the

xarray.DataArray.var # DataArray.var(dim=None, *, skipna=None, ddof=0, keep_attrs=None, **kwargs) [source] # Reduce this DataArray’s data by applying var along

Convert this dataset into an xarray.DataArray The data variables of this dataset will be broadcast against each other and stacked along the first axis of the new array.