{
  "__type": "IngestedDoc",
  "__tag": 4010,
  "_content": {
    "Notes": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "a.view()"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is used two different ways:"
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "a.view(some_dtype)"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " or "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "a.view(dtype=some_dtype)"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " constructs a view of the array's memory with a different data-type.  This can cause a reinterpretation of the bytes of memory."
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "a.view(ndarray_subclass)"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " or "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "a.view(type=ndarray_subclass)"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " just returns an instance of "
            },
            {
              "__type": "InlineRole",
              "__tag": 4003,
              "value": "ndarray_subclass",
              "domain": null,
              "role": null,
              "inventory": null
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " that looks at the same array (same shape, dtype, etc.)  This does not cause a reinterpretation of the memory."
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "If "
            },
            {
              "__type": "ParamRef",
              "__tag": 4071,
              "name": "fill_value"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is not specified, but "
            },
            {
              "__type": "ParamRef",
              "__tag": 4071,
              "name": "dtype"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is specified (and is not an ndarray sub-class), the "
            },
            {
              "__type": "ParamRef",
              "__tag": 4071,
              "name": "fill_value"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " of the MaskedArray will be reset. If neither "
            },
            {
              "__type": "ParamRef",
              "__tag": 4071,
              "name": "fill_value"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " nor "
            },
            {
              "__type": "ParamRef",
              "__tag": 4071,
              "name": "dtype"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " are specified (or if "
            },
            {
              "__type": "ParamRef",
              "__tag": 4071,
              "name": "dtype"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is an ndarray sub-class), then the fill value is preserved. Finally, if "
            },
            {
              "__type": "ParamRef",
              "__tag": 4071,
              "name": "fill_value"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is specified, but "
            },
            {
              "__type": "ParamRef",
              "__tag": 4071,
              "name": "dtype"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is not, the fill value is set to the specified value."
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "For "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "a.view(some_dtype)"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": ", if "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "some_dtype"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " has a different number of bytes per entry than the previous dtype (for example, converting a regular array to a structured array), then the behavior of the view cannot be predicted just from the superficial appearance of "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "a"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " (shown by "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "print(a)"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "). It also depends on exactly how "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "a"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is stored in memory. Therefore if "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "a"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is C-ordered versus fortran-ordered, versus defined as a slice or transpose, etc., the view may give different results."
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Warns": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Raises": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Yields": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Methods": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Returns": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Summary": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "Return a view of the MaskedArray data."
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Receives": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Warnings": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Attributes": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Parameters": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Parameters",
          "__tag": 4026,
          "children": [
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "dtype",
              "annotation": "data-type or ndarray sub-class, optional",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "Data-type descriptor of the returned view, e.g., float32 or int16. The default, None, results in the view having the same data-type as "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "a",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": ". As with "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "ndarray.view"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": ", dtype can also be specified as an ndarray sub-class, which then specifies the type of the returned object (this is equivalent to setting the "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "type"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " parameter)."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "type",
              "annotation": "Python type, optional",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "Type of the returned view, either ndarray or a subclass.  The default None results in type preservation."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "fill_value",
              "annotation": "scalar, optional",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "The value to use for invalid entries (None by default). If None, then this argument is inferred from the passed "
                    },
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "dtype"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": ", or in its absence the original array, as discussed in the notes below."
                    }
                  ]
                }
              ]
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Extended Summary": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Other Parameters": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    }
  },
  "_ordered_sections": [
    "Summary",
    "Extended Summary",
    "Parameters",
    "Attributes",
    "Methods",
    "Returns",
    "Yields",
    "Receives",
    "Other Parameters",
    "Raises",
    "Warns",
    "Warnings",
    "Notes"
  ],
  "item_file": "build-install/usr/lib/python3.14/site-packages/numpy/ma/core.py",
  "item_line": 3193,
  "item_type": "function",
  "aliases": [
    "numpy.ma.MaskedArray.view"
  ],
  "example_section_data": {
    "__type": "Section",
    "__tag": 4015,
    "children": [],
    "title": [],
    "level": 0,
    "target": null
  },
  "see_also": [
    {
      "__type": "SeeAlsoItem",
      "__tag": 4028,
      "name": {
        "__type": "CrossRef",
        "__tag": 4002,
        "value": "numpy.ndarray.view",
        "reference": {
          "__type": "RefInfo",
          "__tag": 4000,
          "module": "current-module",
          "version": "current-version",
          "kind": "to-resolve",
          "path": "numpy.ndarray.view"
        },
        "kind": "module"
      },
      "descriptions": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "Equivalent method on ndarray object."
            }
          ]
        }
      ],
      "type": null
    }
  ],
  "signature": {
    "__type": "SignatureNode",
    "__tag": 4029,
    "kind": "function",
    "parameters": [
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "self",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": {
          "__type": "Empty",
          "__tag": 4031
        }
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "dtype",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "None"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "type",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "None"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "fill_value",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "None"
      }
    ],
    "return_annotation": {
      "__type": "Empty",
      "__tag": 4031
    },
    "target_name": "view"
  },
  "references": null,
  "qa": "numpy.ma.core:MaskedArray.view",
  "arbitrary": [],
  "local_refs": [
    "dtype",
    "fill_value",
    "type"
  ]
}