[5]: import matplotlib.pyplot as plt #PythonGeeks dataset #Maths Marks students_id = [1,2,3,4,5,6,7,8,9,10] x1=students_id students_marks |y1=students_marks = #science marks students_id= [1,2,3,4,5,6,7,8,9,10] |x2=students_id students_marks |y2=students_marks plt.show() [95,98,83,75,67,58,67,78,53,32] = [58,90,67,78,53,32,95,98,83,67,] plt.scatter (x1, y1, c ="yellow", linewidths 1, marker ="*", edgecolo plt.scatter(x2, y2, c = "aqua", linewidths = 1, marker ="^", edgecolor plt.title("PythonGeeks") plt.xlabel("Students ID") plt.ylabel("Students Marks") =
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- Python Programming Using the following dictionary, which maps country names to Internet top-level domains (TLDs): tlds = {'Canada' : 'ca', 'United States' : 'us', 'Mexico' : 'mx'} Perform the following tasks and display the results: Check whether the dictionary contains the key 'Canada' Check whether the dictionary contains the key 'France' Iterate through the key-value pairs and display them in two-column format Add the key-value pair 'Sweden' and 'sw' (which is incorrect) Update the value for the key 'Sweden' to 'se' Use a dictionary comprehension to reverse the keys and values With the results, use a dictionary comprehension to convert the country names to all uppercase lettersWhen elements of only same data types are in one data structure, it is said to be O homogenous O LIFO O Unique O heterogenous# convert_revised_1.py # We will try to print a table without using "string formatting"def main():print("celsius", "fahrenheit") for celsius in range (-50, 200, 20):fahrenheit = 9/5 * celsius + 32print(celsius, fahrenheit)main() Please revise above program convert_revised_1.py with "string formatting" Basically, you only need to revise the TWO print statements, one is before the "for loop", for Table Header another one is within the "for loop". (required width for Celsius value is 35, width Fahrenheit value is 35, both should be right-aligned/justified
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