Most people know just one thing when it comes to attribute access – the dot ‘.’ (as in x.some_attribute). In simple terms, attribute access is the way you retrieve an object linked to the one you already have. To someone who uses Python without delving too much into the details, it may seem pretty straightforward. A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. Everything in Python is an object, and almost everything has attributes and methods. In python, functions too are objects. So they have attributes like other objects. All functions have a built-in attribute __doc__, which returns the doc string defined in the function source code. Even though highly unlikely, attribute docstrings could get accidentally concatenated to the attribute's value: class C: x = "text" \ "x's docstring" The trailing slash would cause the Python compiler to concatenate the attribute value and the docstring.
use index property to find it out: lst.index('my'); >>>
incrementaldecoder (codecs.CodecInfo attribute) IncrementalEncoder (class in codecs) incrementalencoder (codecs.CodecInfo attribute) IncrementalNewlineDecoder (class in io) IncrementalParser (class in xml.sax.xmlreader) indent (doctest.Example attribute) INDENT (in module token) INDENT token; indent() (in module textwrap) indentation The pandas Dataframe class in Python has several attributes which include index, columns, dtypes, values, axes, ndim, size, empty and shape. The python examples provides insights about dataframe instances by accessing their attributes. The Python and NumPy indexing operators "[ ]" and attribute operator "." provide quick and easy access to Pandas data structures across a wide range of use cases. However, since the type of the data to be accessed isn’t known in advance, directly using standard operators has some optimization limits. Python String index() The index() method returns the index of a substring inside the string (if found). If the substring is not found, it raises an exception. Once we know how to check if an object has an attribute in Python, the next step is to get that attribute. In Python, besides the normal dot-style attribute access, there's a built-in function, getattr, which is also very useful for accessing an attribute. Attribute indexes are used by ArcGIS to quickly locate records that match an attribute query. Usage Shapefiles and file geodatabase do not support multiple indexes, so additional fields will become part of a composite index (that is, an index created on multiple fields in a table).
Most people know just one thing when it comes to attribute access – the dot ‘.’ (as in x.some_attribute). In simple terms, attribute access is the way you retrieve an object linked to the one you already have. To someone who uses Python without delving too much into the details, it may seem pretty straightforward.
identical (other), Similar to equals, but check that other comparable attributes are also item (), return the first element of the underlying data as a python scalar.