Label python data points on plot

How about print (x, y) at once.

from matplotlib import pyplot as pltfig = plt.figure()ax = fig.add_subplot(111)A = -0.75, -0.25, 0, 0.25, 0.5, 0.75, 1.0B = 0.73, 0.97, 1.0, 0.97, 0.88, 0.73, 0.54ax.plot(A,B)for xy in zip(A, B):                                       # <--    ax.annotate('(%s, %s)' % xy, xy=xy, textcoords='data') # <--ax.grid()plt.show()

I had a similar issue and ended up with this:

For me this has the advantage that data and annotation are not overlapping.

from matplotlib import pyplot as pltimport numpy as npfig = plt.figure()ax = fig.add_subplot(111)A = -0.75, -0.25, 0, 0.25, 0.5, 0.75, 1.0B = 0.73, 0.97, 1.0, 0.97, 0.88, 0.73, 0.54plt.plot(A,B)# annotations at the side (ordered by B values)x0,x1=ax.get_xlim()y0,y1=ax.get_ylim()for ii, ind in enumerate(np.argsort(B)):    x = A[ind]    y = B[ind]    xPos = x1 + .02 * (x1 - x0)    yPos = y0 + ii * (y1 - y0)/(len(B) - 1)    ax.annotate('',#label,          xy=(x, y), xycoords='data',          xytext=(xPos, yPos), textcoords='data',          arrowprops=dict(                          connectionstyle="arc3,rad=0.",                          shrinkA=0, shrinkB=10,                          arrowstyle= '-|>', ls= '-', linewidth=2                          ),          va='bottom', ha='left', zorder=19          )    ax.text(xPos + .01 * (x1 - x0), yPos,            '({:.2f}, {:.2f})'.format(x,y),            transform=ax.transData, va='center')plt.grid()plt.show()

Using the text argument in .annotate ended up with unfavorable text positions.Drawing lines between a legend and the data points is a mess, as the location of the legend is hard to address.