Create the following data frame using suitable commands such as np.arange, lis etc. column-a column-b column-e column-d column-e column-f column-g column-h column-i 3.0 h 2020-01-01 00:00:00-05.00 2020-01-01 00:00.00.000000000 True 1 5 i 2020-01-02 00.00.00-05.00 2020-01-01 00.00.00.000000001 4 4.0 False 2 3 5.0 į 2020-01-03 00.00.00-05.00 2020-01-01 00.00.00.000000002 False 11 4 6.0 k 2020-01-04 00.00.00-05.00 2020-01-01 00.00.00.000000003 True
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- Which of the following features are present in the PivotTable but not in the Subtotal Command. Find the category-wise average of data O Find category-wise summation of data Add a Filter to the Data None of the aboveCreate a pandas DataFrame with two columns. The first column should be titled F for Fahrenheit, and should contain the numbers from 0 to 100, counting by fives. The second column should be titled C for Celsius, and contain the corresponding temperature in degrees Celsius for the number in the first column.Which of the following creates a data frame? import panda as pd df = pd.DataFrame (data=['A'= {10, 100}, 'Z'= {20, 400} ] ) a. Ob. df = pd.DataFrame (data={'A'= [10, 1001, 'Z'= [20, 400] } ) df = pd. DataFrame(data=['A': [10, 1001, 'Z': [20, 400] ] ) d. df = pd. DataFrame (data={'A': [10, 100], 'Z': [20, 400] } ) Which of the statements below change the value of "A" in this dictionary from 1 to 2? {"A": 1} а. dict[0] = 2 Ob. dict["A": 2] dict += 1 d. dict["A"] = 2
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