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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?
- Pandas.DataFrame(data, index, dtype, copy)
- pandas.DataFrame( data, index, columns, dtype, copy)
- pandas.DataFrame(data, index, dtype, copy)
- 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.