{
  "__type": "IngestedDoc",
  "__tag": 4010,
  "_content": {},
  "_ordered_sections": [],
  "item_file": null,
  "item_line": null,
  "item_type": null,
  "aliases": [],
  "example_section_data": {
    "__type": "Section",
    "__tag": 4015,
    "children": [],
    "title": [],
    "level": 0,
    "target": null
  },
  "see_also": [],
  "signature": null,
  "references": null,
  "qa": "reference:routines.char",
  "arbitrary": [
    {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "The "
            },
            {
              "__type": "CrossRef",
              "__tag": 4002,
              "value": "numpy.char",
              "reference": {
                "__type": "RefInfo",
                "__tag": 4000,
                "module": "numpy",
                "version": "*",
                "kind": "api",
                "path": "numpy.char"
              },
              "kind": "module"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " module provides a set of vectorized string operations for arrays of type "
            },
            {
              "__type": "CrossRef",
              "__tag": 4002,
              "value": "numpy.str_",
              "reference": {
                "__type": "RefInfo",
                "__tag": 4000,
                "module": "numpy",
                "version": "*",
                "kind": "api",
                "path": "numpy:str_"
              },
              "kind": "module"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " or "
            },
            {
              "__type": "CrossRef",
              "__tag": 4002,
              "value": "numpy.bytes_",
              "reference": {
                "__type": "RefInfo",
                "__tag": 4000,
                "module": "numpy",
                "version": "*",
                "kind": "api",
                "path": "numpy:bytes_"
              },
              "kind": "module"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": ". For example"
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "The methods in this module are based on the methods in "
            },
            {
              "__type": "InlineRole",
              "__tag": 4003,
              "value": "string",
              "domain": "py",
              "role": "mod",
              "inventory": null
            }
          ]
        }
      ],
      "title": [
        {
          "__type": "Text",
          "__tag": 4046,
          "value": "Legacy fixed-width string functionality"
        }
      ],
      "level": 0,
      "target": "routines.char"
    },
    {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Code",
          "__tag": 4050,
          "value": ".. autosummary:: \n    :toctree:generated/\n    add\n    multiply\n    mod\n    capitalize\n    center\n    decode\n    encode\n    expandtabs\n    join\n    ljust\n    lower\n    lstrip\n    partition\n    replace\n    rjust\n    rpartition\n    rsplit\n    rstrip\n    split\n    splitlines\n    strip\n    swapcase\n    title\n    translate\n    upper\n    zfill",
          "execution_status": null
        }
      ],
      "title": [
        {
          "__type": "Text",
          "__tag": 4046,
          "value": "String operations"
        }
      ],
      "level": 1,
      "target": null
    },
    {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "Unlike the standard numpy comparison operators, the ones in the "
            },
            {
              "__type": "InlineRole",
              "__tag": 4003,
              "value": "char",
              "domain": null,
              "role": null,
              "inventory": null
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " module strip trailing whitespace characters before performing the comparison."
            }
          ]
        },
        {
          "__type": "Code",
          "__tag": 4050,
          "value": ".. autosummary:: \n    :toctree:generated/\n    equal\n    not_equal\n    greater_equal\n    less_equal\n    greater\n    less\n    compare_chararrays",
          "execution_status": null
        }
      ],
      "title": [
        {
          "__type": "Text",
          "__tag": 4046,
          "value": "Comparison"
        }
      ],
      "level": 1,
      "target": null
    },
    {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Code",
          "__tag": 4050,
          "value": ".. autosummary:: \n    :toctree:generated/\n    count\n    endswith\n    find\n    index\n    isalpha\n    isalnum\n    isdecimal\n    isdigit\n    islower\n    isnumeric\n    isspace\n    istitle\n    isupper\n    rfind\n    rindex\n    startswith\n    str_len",
          "execution_status": null
        }
      ],
      "title": [
        {
          "__type": "Text",
          "__tag": 4046,
          "value": "String information"
        }
      ],
      "level": 1,
      "target": null
    },
    {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Code",
          "__tag": 4050,
          "value": ".. autosummary:: \n    :toctree:generated/\n    array\n    asarray\n    chararray",
          "execution_status": null
        }
      ],
      "title": [
        {
          "__type": "Text",
          "__tag": 4046,
          "value": "Convenience class"
        }
      ],
      "level": 1,
      "target": null
    }
  ],
  "local_refs": []
}