def detail(df):
    my_coords = [-3.2, -60.00000000]
    zoom_scale = 2
    font = {'fontweight': 'bold'}

    bbox = [my_coords[0] - zoom_scale, my_coords[0] + zoom_scale, \
            my_coords[1] - zoom_scale, my_coords[1] + zoom_scale]

    fig = plt.figure(figsize=(20, 8))
    m = Basemap(projection='merc', llcrnrlat=bbox[0], urcrnrlat=bbox[1], \
                llcrnrlon=bbox[2], urcrnrlon=bbox[3], lat_ts=10, resolution='i')

    m.drawcoastlines()
    m.fillcontinents(color='#FAFAFA', lake_color='dodgerblue')

    m.drawparallels(np.arange(bbox[0], bbox[1], (bbox[1] - bbox[0]) / 5),
                    labels=[1, 0, 0, 0])
    m.drawmeridians(np.arange(bbox[2], bbox[3], (bbox[3] - bbox[2]) / 5),
                    labels=[0, 0, 0, 1],
                    rotation=45)
    m.drawmapboundary(fill_color='dodgerblue')

    x, y = m(my_coords[1], my_coords[0])
    plt.title("Raios no mês Setembro", fontdict=font)
    # plt.ylabel('Longitude', labelpad=40)
    # plt.xlabel('Latitude', labelpad=60)

    lights = df[(df['yyy_xx4'] > 0) & (df['yyy_xx5'] > 0)]
    land = np.zeros((241, 241))

    for line in lights[['ind_x', 'ind_y', 'yyy_xx4', 'yyy_xx4']].values:
        # coords = (line[0], line[1])
        x, y = m(line[0], line[1])

        if line[2] + line[3] > 0:
            land[0][1] += 1
        # if line[2] + line[3] < 3:
        #     m.plot(x, y, marker='x', color='gray')
        # elif line[2] + line[3] < 5:
        #     m.plot(x, y, marker='x', color='blue')
        # elif line[2] + line[3] < 7:
        #     m.plot(x, y, marker='x', color='green')
        # elif line[2] + line[3] < 10:
        #     m.plot(x, y, marker='x', color='orange')
        # else:
        #     m.plot(x, y, marker='x', color='red')

        # m.plot(x, y, marker='s', color='b', alpha=0.2)
    m.matshow(land, alpha=.3)
    # cmap = mpl.colors.ListedColormap(['black', 'gray',
    #                                   'yellow', 'orange', 'red'])
    # cmap.set_over('red')
    # cmap.set_under('black')
    # bounds = [1, 3, 5, 10, 20]
    # norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
    # cb3 = mpl.colorbar.ColorbarBase(fig, cmap=cmap,
    #                                 norm=norm,
    #                                 boundaries=[-10] + bounds + [10],
    #                                 extend='both',
    #                                 extendfrac='auto',
    #                                 ticks=bounds,
    #                                 spacing='uniform',
    #                                 orientation='vertical')
    # cb3.set_label('Custom extension lengths, some other units')
    plt.savefig('land.png')
    plt.show()