COLOUR NAME QTY 0 Red Apple 10 1 Blue Berry 15 2 Green Guava 20
import _______ as pd data = [ {'COLOUR': 'Red', 'NAME': 'Apple', 'QTY': 10}, {'COLOUR': 'Blue', 'NAME': 'Berry', 'QTY': 15}, {_______, 'NAME': 'Guava', 'QTY': 20} ] df = pd.DataFrame(_______) print(_______)
import pandas as pd data = [ {'COLOUR': 'Red', 'NAME': 'Apple', 'QTY': 10}, {'COLOUR': 'Blue', 'NAME': 'Berry', 'QTY': 15}, {'COLOUR': 'Green', 'NAME': 'Guava', 'QTY': 20} ] df = pd.DataFrame(data) print(df)
Consider the DataFrame Doctor shown below:
Write suitable Python statements for the following:
(i) To print the last three rows of the DataFrame Doctor.
(ii) To display the names of all doctors.
(iii) To add a new column 'Discount' with value of 200 for all doctors.
(iv) To display rows with index 2 and 3.
(v) To delete the column 'Department'.
Gurkirat has to fill in the blanks in the given Python program that generates a line plot as shown below. The given line plot represents the temperature (in degree Celsius) over five days as given in the table:
Write the missing statements according to the given specifications:
(i) Write the suitable code to import the required module in the blank space in the line marked as Statement-1.
(ii) Fill in the blank in Statement-2 with a suitable Python function name to create a line plot.
(iii) Refer to the graph shown and fill in the blank in Statement-3 to display the appropriate label for x-axis.
(iv) Refer to the graph shown and fill in the blank in Statement-4 to display the suitable chart title.
A 10 B 20 C 30 D 40 E 50 dtype: int64
import pandas data = [50, 15, 40] series = pd.series(data, Index=['x', 'y', 'z']) Print(series)
City State 0 Mumbai Maharashtra 1 Dehradun Uttarakhand 2 Bengaluru Karnataka 3 Hyderabad Telangana
(A) Explain the following reactions and write chemical equations involved:
(a) Wolff-Kishner reduction
(b) Etard reaction
(c) Cannizzaro reaction