[PDF] attributes of dataframe in python

These are the attributes of the dataframe:
  • index.
  • columns.
  • axes.
  • dtypes.
  • size.
  • shape.
  • ndim.
  • empty.
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  • What are the details of a DataFrame Python?

    Pandas DataFrame info() Method
    The info() method prints information about the DataFrame. The information contains the number of columns, column labels, column data types, memory usage, range index, and the number of cells in each column (non-null values). Note: the info() method actually prints the info.

  • What are the parts of a DataFrame in Python?

    Now, DataFrames in Python are very similar: they come with the pandas library, and they are defined as two-dimensional labeled data structures with columns of potentially different types. In general, you could say that the pandas DataFrame consists of three main components: the data, the index, and the columns.

  • What is the attribute of DataFrame shape?

    The DataFrame. shape attribute in Pandas enables us to obtain the shape of a DataFrame. For example, if a DataFrame has a shape of (80, 10) , this implies that the DataFrame is made up of 80 rows and 10 columns of data.
  • at attribute? The pandas DataFrame.at attribute is used to access a single value using the row and column labels. The “at” attribute takes a row and column labels data to get an element from a specified label position of the given DataFrame object.
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