# How to adjust the logarithmic scale in a python scatter plot (plot.scatter)?

I need to present a logarithmic scatter plot of the following table:

``````x =[1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,
35, 36, 37, 39, 42, 44, 48]
y = [2.43310035e-01, 1.98717530e-01, 1.49977138e-01, 1.14921506e-01,
8.24242820e-02, 5.90611187e-02, 4.29377055e-02, 3.07771028e-02,
2.14144185e-02, 1.56552790e-02, 1.08977290e-02, 8.31754741e-03,
5.73736582e-03, 3.95192371e-03, 2.91767370e-03, 2.46042633e-03,
1.77455527e-03, 1.16489211e-03, 7.94739478e-04, 7.51192109e-04,
5.22568424e-04, 2.61284212e-04, 2.39510528e-04, 1.41528948e-04,
1.74189475e-04, 1.30642106e-04, 1.41528948e-04, 1.19755264e-04,
6.53210530e-05, 3.26605265e-05, 2.17736843e-05, 2.17736843e-05,
7.62078951e-05, 2.17736843e-05, 2.17736843e-05, 0.00000000e+00,
0.00000000e+00, 2.17736843e-05, 2.17736843e-05, 0.00000000e+00,
0.00000000e+00]
``````

Initially, I make the plot.scatter using the following statement:

``````Plt.scatter (x, y)
``````

I want to use the logarithmic scale on the Y axis, but if I use the instruction `plt.yscale (& # 39; log & # 39;)` I do not get all the points of the graph, I only have 4 of them.