I'm new to this and I'm trying to represent a structured array, npy file as a scatter plot. I'm not entirely sure what my other argument should be. I was thinking that I should span out my values for x and y, but I am not sure.
import matplotlib.pyplot as plt
import numpy as np
import os
path = '/users/username/Desktop/untitled folder/python files/MSII_phasespace/'
os.chdir( path )
data = np.load('msii_phasespace.npy',mmap_mode='r')
# data.size: 167197
# data.shape: (167197,)
# data.dtype: dtype([('x', '<f4'), ('y', '<f4'), ('z', '<f4'),
# ('velx', '<f4'), ('vely', '<f4'), ('velz', '<f4'), ('m200', '<f4')])
plt.title ("MS II data structure")
plt.xlabel(r'$\Omega_{\mu \nu}$')
plt.ylabel(r'$\Omega^{\mu \nu}$')
plt.scatter(data)
plt.show()
Inputting this outputs the error:
TypeError: scatter() takes at least 2 arguments (1 given)
plt.scatter needs at least two arguments (which the error states quite clearly).
If you look into the docs (http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter), you will see this signature:
scatter(x, y, s=20, c=None, marker='o', cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, verts=None, edgecolors=None, hold=None, data=None, **kwargs)
So you need to provide at least an array for each x and y values:
plt.scatter(data['x'], data['y'])
Starting from matplotlib 1.5, you could also use this syntax to access data from a structured array:
plt.scatter('x', 'y', data=data)
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