I’m sorry I found the answer by myself. How to add trendline in python matplotlib dot (scatter) graphs? Python import pandas as pd import numpy as np import matplotlib.pyplot as plt csv = pd.read_csv(‘/tmp/test.csv’) data = csv[[‘fee’, ‘time’]] x = data[‘fee’] y = data[‘time’] plt.scatter(x, y) z = np.polyfit(x, y, 1) p = np.poly1d(z) plt.plot(x,p(x),”r–“) … Read more
as explained here With help from numpy one can calculate for example a linear fitting. # plot the data itself pylab.plot(x,y,’o’) # calc the trendline z = numpy.polyfit(x, y, 1) p = numpy.poly1d(z) pylab.plot(x,p(x),”r–“) # the line equation: print “y=%.6fx+(%.6f)”%(z[0],z[1])
as explained here With help from numpy one can calculate for example a linear fitting. # plot the data itself pylab.plot(x,y,’o’) # calc the trendline z = numpy.polyfit(x, y, 1) p = numpy.poly1d(z) pylab.plot(x,p(x),”r–“) # the line equation: print “y=%.6fx+(%.6f)”%(z[0],z[1])