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In a research paper, figures must be included in the center of the page, close to where it is first referred to, preferably immediately below the paragraph where the data was mentioned. All figures must be identified with a number and followed by a brief but intelligible statement that describes the data provided.

Plot data from a . txt file using matplotlib Set the figure size and adjust the padding between and around the subplots. Initialize empty lists for bar_names and bar_heights. Open a sample . txt file in read "r" mode and append to bar's name and height list. Make a bar plot. To display the figure, use show() method.

Step 1: Identify the variables. ... Step 2: Determine the variable range. ... Step 3: Determine the scale of the graph. ... Step 4: Number and label each axis and title the graph. Step 5: Determine the data points and plot on the graph. ... Step 6: Draw the graph.

A plot is a graphical technique for representing a data set, usually as a graph showing the relationship between two or more variables.

Program Approach: Import matplotlib. pyplot module for visualization. Open sample. txt file in read mode 'r' with file open( ) function. Iterate through each line in the file using a for a loop. Append each row in the file into the list as required for our visualization. Using plt.

Following steps were followed: Define the x-axis and corresponding y-axis values as lists. Plot them on canvas using .plot() function. Give a name to x-axis and y-axis using .xlabel() and .ylabel() functions. Give a title to your plot using .title() function. Finally, to view your plot, we use .show() function.

In a research paper, figures must be included in the center of the page, close to where it is first referred to, preferably immediately below the paragraph where the data was mentioned. All figures must be identified with a number and followed by a brief but intelligible statement that describes the data provided.