Issues with Python3 Version

[jmandivarapu1]

When i am trying to run with Python3 .I am facing lot of issues.
Fixed almost of them Except the error in plot.py file at Flush

Axis Error: axis -1 is out of bounds for array of dimension 0.

Can you kindly help with this?

def flush():
prints = []

for name, vals in _since_last_flush.items():
	prints.append("{}\t{}".format(name, np.mean(vals.values())))
	_since_beginning[name].update(vals)

	x_vals = np.sort(_since_beginning[name].keys())
	y_vals = [_since_beginning[name][x] for x in x_vals]

	plt.clf()
	plt.plot(x_vals, y_vals)
	plt.xlabel('iteration')
	plt.ylabel(name)
	plt.savefig(name.replace(' ', '_')+'.jpg')

[caogang]

Which line did it raise the error "Axis Error: axis -1 is out of bounds for array of dimension 0"?

[jmandivarapu1]

def flush():
	prints = []
	for name, vals in _since_last_flush.items():
		prints.append("{}\t{}".format(name, np.mean(vals.values())))
		_since_beginning[name].update(vals)
		x_vals = np.sort(_since_beginning[name].keys())
		y_vals = [_since_beginning[name][x] for x in x_vals]
		plt.clf()
		plt.plot(x_vals, y_vals)
		plt.xlabel('iteration')
		plt.ylabel(name)
		plt.savefig(name.replace(' ', '_')+'.jpg')

First prints.append("{}\t{}".format(name, np.mean(vals.values()))) line thrown the error
Error: TypeError: unsupported operand type(s) for /: 'dict_values' and 'int'
Fix made:prints.append("{}\t{}".format(name, np.mean(list(vals.values()))))
Then the below two lines given the error

x_vals = np.sort(_since_beginning[name].keys())
y_vals = [_since_beginning[name][x] for x in x_vals]

Error:

line 845,in <module>
    lib.plot.flush()
  File "/Users/Jay/Documents/Andromeda/BitBucket_Networks/newnetworks/tflib/plot.py", line 28, in flush
    x_vals = np.sort(_since_beginning[name].keys())
  File "//anaconda/lib/python3.5/site-packages/numpy/core/fromnumeric.py", line 822, in sort
    a.sort(axis=axis, kind=kind, order=order)
numpy.core._internal.AxisError: axis-1 is out of bounds for array of dimension 0

these two lines in Flush function in plot.py

[neale]

you should make the same change that you did above.

x_vals = np.sort(_since_beginning[name].keys())

becomes

x_vals = np.sort(list(_since_beginning[name].keys()))