x, = … – is this trailing comma the comma operator?

Posted on

Question :

x, = … – is this trailing comma the comma operator?

I don’t understand what does comma after variable lines, means: http://matplotlib.org/examples/animation/simple_anim.html

line, = ax.plot(x, np.sin(x))

If I remove comma and variable “line,” becomes variable “line” then program is broken. Full code from url given above:

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

fig = plt.figure()
ax = fig.add_subplot(111)

x = np.arange(0, 2*np.pi, 0.01)        # x-array
line, = ax.plot(x, np.sin(x))

def animate(i):
    line.set_ydata(np.sin(x+i/10.0))  # update the data
    return line,

#Init only required for blitting to give a clean slate.
def init():
    line.set_ydata(np.ma.array(x, mask=True))
    return line,

ani = animation.FuncAnimation(fig, animate, np.arange(1, 200), init_func=init,
    interval=25, blit=True)

According to http://docs.python.org/3/tutorial/datastructures.html#tuples-and-sequences comma after variable seems to be related to tuples containing only one item.

Asked By: inzzz


Answer #1:

ax.plot() returns a tuple with one element. By adding the comma to the assignment target list, you ask Python to unpack the return value and assign it to each variable named to the left in turn.

Most often, you see this being applied for functions with more than one return value:

base, ext = os.path.splitext(filename)

The left-hand side can, however, contain any number of elements, and provided it is a tuple or list of variables the unpacking will take place.

In Python, it’s the comma that makes something a tuple:

>>> 1
>>> 1,

The parenthesis are optional in most locations. You could rewrite the original code with parenthesis without changing the meaning:

(line,) = ax.plot(x, np.sin(x))

Or you could use list syntax too:

[line] = ax.plot(x, np.sin(x))

Or, you could recast it to lines that do not use tuple unpacking:

line = ax.plot(x, np.sin(x))[0]


lines = ax.plot(x, np.sin(x))

def animate(i):
    lines[0].set_ydata(np.sin(x+i/10.0))  # update the data
    return lines

#Init only required for blitting to give a clean slate.
def init():
    lines[0].set_ydata(np.ma.array(x, mask=True))
    return lines

For full details on how assignments work with respect to unpacking, see the Assignment Statements documentation.

Answered By: Martijn Pieters

Answer #2:

If you have

x, = y

you unpack a list or tuple of length one.

x, = [1]

will result in x == 1, while

x = [1]

gives x == [1]

Answered By: Elmar Peise

Leave a Reply

Your email address will not be published. Required fields are marked *