How do I plot a some dots with a trendline in pyplot?

To plot a set of d ots with a trend line in Py plot , you can use the ` plot () ` function to plot the d ots and the ` poly fit () ` function to calculate a polynomial to the data . Here ' s an example code sn ippet : \n `` ` python \n import numpy as np \n import mat plot lib . py plot as plt \n \n # Generate some random data \n x = np . random . rand ( 1 0 0 ) \n y = np . sin ( x ) + np . random . rand n ( 1 0 0 ) \n \n # Plot the d ots \n pl t . plot ( x , y ) \n \n # F it a polynomial to the data \n p = np . poly fit ( x , y , 1 ) \n \n # Plot the trend line \n pl t . plot ( x , p ( x ), '- r -- ') \n \n # Show the plot \n pl t . show () \n `` ` \n In this example , we first generate some random data ` x ` and ` y `. We then plot the d ots using the ` plot () ` function . Next , we use the ` poly fit () ` function to fit a polynomial of degree 1 ( i . e ., a straight line ) to the data . Finally , we plot the trend line using the ` plot () ` function again , this time with a different color and line style . \n \n You can adjust the degree of the polynomial by passing a higher value to the ` poly fit () ` function . For example , to fit a polynomial of degree 2 ( i . e ., a par ab ola ), you would pass ` poly fit ( x , y , 2 ) `. </s>