Amongst which of the following is a correct syntax for panda's dataframe?

9. Amongst which of the following is a correct syntax for panda's dataframe?

  1. Pandas.DataFrame(data, index, dtype, copy)
  2. pandas.DataFrame( data, index, columns, dtype, copy)
  3. pandas.DataFrame(data, index, dtype, copy)
  4. pandas.DataFrame( data, index, rows, dtype, copy)

Answer: A) pandas.DataFrame( data, index, columns, dtype, copy)

Explanation:

A syntax of pandas.DataFrame( data, index, columns, dtype, copy).

  • data - data can be represented in a variety of ways, including ndarray, series, map, lists, dict, constants, and another DataFrame.
  • index - for the row labels, the index to be used for the resulting frame is optional default index. If no index is provided, np.arange(n) is used.
  • columns - the optional default syntax for column labels is np.arange, which stands for numeric range (n). When there is no index passed, the following is true.
  • dtype - dtype identifies the data type of each column.
  • copy - this command is used for data copying if the default value is False, else it is not used.

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