"""
==========
2D Scatter
==========

Scatter data in two dimensions.

The x-axis and y-axis define the coordinates of the scattered points.

.. code::

  @NX_class = "NXroot"
  @default = "scan1"
  scan1:
    @NX_class = "NXentry"
    @default = "data"
    data:
      @NX_class = "NXdata"
      @x_indices = [0]
      @y_indices = [0]
      @signal = "z"
      x: NX_FLOAT64[500]
      y: NX_FLOAT64[500]
      z: NX_FLOAT64[500]

Explanation:

1. ``@axes`` is omitted since default axes are not applicable.

2. ``z`` is the default signal to be plotted versus ``x`` and ``y``.

3. Each data point in ``z`` has a coordinate in ``x`` and ``y``.

Note that the NXdata structure does **not** describe how the data needs to
be plotted. In this example we create a 2D scatter plot in the XY-plane.
But the data could also be plotted as a function of ``x`` or ``y`` in a
:ref:`sphx_glr_classes_base_classes_data_plot_curve.py` plot. When defining
``@axes="x"`` the curve plot would be the most likely intention of the data
publisher but it is up to the reader to decide how to plot the data.
"""

# Data
import numpy as np

rstate = np.random.RandomState(42)
x = rstate.uniform(-3, 3, 500)
y = rstate.uniform(-3, 3, 500)
z = (1 - x / 2 + x**5 + y**3) * np.exp(-(x**2) - y**2)

# Plot
import matplotlib.pyplot as plt  # noqa E402

plt.style.use("_mpl-gallery-nogrid")

fig, ax = plt.subplots()
ax.scatter(x, y, c=z, s=50, alpha=0.7)

plt.show()