I'm trying to put text in a graph, but for some reason I can't do it using plt.text
. I get the
TypeError: can only concatenate list ("not float") to list
I don't really know what to change to get this working.
x = [3, 1, 4, 5, 1]
y = [5, 4, 4, 3, 7]
fig=plt.figure(1)
ax = fig.add_subplot(1, 1, 1)
plt.xlim(0.5, 7)
plt.ylim(0, 7.5)
ax.spines['left'].set_position('center')
ax.spines['bottom'].set_position('center')
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
plt.scatter(x, y, marker="x", color="red")
Names=['name1', 'name2', 'name3', 'name4', 'name4']
plt.text(x + 0.1, y + 0.1, Names, fontsize=9)
You are trying to use plt.text
in a vectorised manner. It won't work that way. You were also adding 0.1
(a float) to x
(a list) and hence the self-explanatory error. You have to loop over your Names
and use the corresponding x
and y
value and put the text
one name at a time. You can do it using enumerate
as follows
Names=['name1', 'name2','name3','name4','name4']
for i, name in enumerate(Names):
plt.text(x[i]+0.1, y[i]+0.1, name, fontsize=9)
There are two errors in your code.
The one that is raising is that you attempt to add a scalar to a Python list: x + 0.1
and y + 0.1
. +
is defined as concatenation, which is what the error is telling you. You can potentially fix this by converting x
and y
to numpy arrays ahead of time. For arrays, +
is defined as element-wise addition, as you were expecting. However, this won't solve your second problem.
The documentation for pyplot.text
explicitly states that the x
and y
inputs are scalars: you can only plot one string per call. That means you need a loop:
for x_, y_, name in zip(x, y, Names):
plt.text(x_ + 0.1, y_ + 0.1, name, fontsize=9)
Please read your errors carefully and post the whole thing next time.
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