Use Python Code how to filter dataframes using python . For example I have a student grade csv table, first, I need to read the csv using pandas library then I want to visualize my student scores (using matplotlib, seaborn, etc) but I only want to visualize those whose scores are 60 and above. so how do i do the code in python. Exampe of Student grades table (csv)(Student name and exam date): Student name 4/7/20 Jojo 90 Lili 65 Bibi 50 Sarah 40 Rajah 100 Albert 80 Cherry 75 Jamie 85 So , based on the table above, what doesn't need to be visualized is Bibi and Sarah .

For items 1–3, use the IN300_Dataset1.csv file. Write a Python program that reads the CSV file into a Panda dataframe. Using that dataframe, print the row, source IP, and destination IP as a table. Write a Java program that reads the CSV file into an ArrayList. Convert the ArrayList to a string array and print the row, source IP, and destination IP on the same line using a loop. Write an R program that reads the CVS file using the read.csv data type. Print the row, source IP and destination IP of each line.

Implement a city database using ordered lists. Each database record contains the name of the city (a string of arbitrary length) and the coordinates of the city expressed as integer x and y coordinates. Your database should allow records to be inserted, deleted by name, and searched by name. Another operation that should be supported is to print all records within a given distance of a specified point/coordinate. The order of cities should be alphabetically by city name. Implement the database using: an array- based list implementation. By using JAVA.

Give an example of something you can use a page-word index for that you can't do with a page index (no word positions), such as the one below. Word Index a 2, 3 according 2 and 2 be 2 blue 3 … (please type answer not write by hend)

Use Python Codehow to filter dataframes using python . For example I have a student grade csv table, first, I need to read the csv using pandas library then I want to visualize my student scores (using matplotlib, seaborn, etc) but I only want to visualize those whose scores are 60 and above. so how do i do the code in python.Exampe of Student grades table (csv) : Student name Score Jojo 90 Lili 65 Bibi 50 Sarah 40 Rajah 100 Albert 80 Cherry 75 Jamie 85 So , based on the table above, what doesn't need to be visualized is Bibi and Sarah . Hope you can help me :)

Final help needed for Python Turtle, does my code have everything required, and if not can you help make the changes needed. 1. An additional option to generate another island if the user does not like the one they have (loops until they are satisfied) and have the GUIs bigger.2. Does my code have two or more functions (I dont know if the drawing only counts as one)?3. Does my code have atleast one list, dictionary, or set (if not reorganize/add one)?4. Need help exporting the finished turtle image into a file on desktop (yes/no option input by user) that can be accessed, or png (In ###'s I saved the broken code that i dont know how to fix) My code: import turtleimport randomimport tkinter as tkfrom tkinter import simpledialog### OPTIONAL IMAGE CONVERTER, REMOVE ###'S TO USE###from PIL import Image# Colors:ocean = "#000066"sand = "#ffff66"grass = "#00cc00"lake = "#000066"mountain_color = "#808080"  mountain_positions = []def draw_irregular_circle(radius, line_color, fill_color,…

A grid needs a system for numbering the tiles in order to allow random-access lookup.For instance, the rows and columns of a square grid provide a natural numbering for the tiles. Create plans for hexagonal and triangular grids. Create a rule for identifying the neighbourhood (i.e., nearby tiles) of a certain tile in the grid using the numbering scheme. For instance, the neighbourhood of tile I j in a four-connected square grid with indices of I for rows and j for columns may be described as neighbourhood(i, j) = I 1, j, I j 1.

Create a square matrix that has ones in the first row and first column, and whose remaining elements are the sum of two elements: the element above and the element to the left. Your program should be able to make a matrix of any size. Do this exercise using a loop (for or while) with break/continue statements as necessary.

Task 4: Matplotlib Import the plotting function by the command: import matplotlib.pyplot as plt Plotting multiple lines Compute the x and y coordinates for points on sine and cosine curves and plot them on the same graph using matplotlib. Add x and y labels to the graph as well. Note: Please provide PYTHON (ANACONDA) code for above task.

Write a small piece of pseudo-code for generating a histogram H[L] for an intensity image I[YDIM][XDIM], where L is the total level of intensities of the image, H is the histogram array,  XDIM * YDIM are the size of the image, and I[i][j] is the intensity value of the pixel at location (i,j), with i = 1, …, YDIM, and j = 1,…, XDIM. You might choose to use a certain program language that you are familiar with to write the code. You don’t have to compile the code.