[PDF] attributes of dataframe pandas

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

    In general, you could say that the pandas DataFrame consists of three main components: the data, the index, and the columns.

  • What is the AT attribute in pandas?

    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.

  • How do I get the stats of a DataFrame in pandas?

    The describe() function computes a summary of statistics pertaining to the DataFrame columns. This function gives the mean, std and IQR values. And, function excludes the character columns and given summary about numeric columns.
  • The dtypes attribute returns a Pandas Series that contains the data types of each column in the DataFrame. In this example, we first load the dataset using the read_csv function from Pandas, which reads a CSV file and returns a DataFrame.
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