How to plot data like points and draw line of linear fit in python?-CodePudding

I have data where I have 'count_t' in range 1 to 700 and 'Congestion' values in range 0 to 1. I have plotted it as (check plot here)

but I wanted to change line joining data only in points at each value and wanted to draw linear fit line through data and How can I maintain aspect ratio of inside grid 1:1?

I will be grateful if you can suggest changes to do the same, Thank you!

CodePudding user response：

You can use inbuilt polyfit function to get linear fit value based on least square method for your data. But I am not aware how to maintain aspect ratio of inside grid 1:1.

# Calculating parameters (Here, intercept-theta1 and slope-theta0)
# of the line using the numpy.polyfit() function
theta = np.polyfit(x, y, 1)
print(f'The parameters of the line: intercept,slope {theta}')

# Now, calculating the y-axis values against x-values according to
# the parameters theta0, theta1 
y_line = theta[1]   theta[0] * x

fig, ax = plt.subplots(figsize=(8,8))
ax.scatter(x,y_con)
ax.plot(x,y_line, 'r')