Hi,
I just noticed that this:
x = np.arange(10)
y = np.zeros(10)
y[5] = 1
plt.bar(x, y)
Will generate a big box for x = 5 with x 0:5 and 6: stripped, whereas this:
y += 0.000001
plt.bar(x, y)
Will generate a bar plot going from x = 0 to 9 with a bar at 5 as I
was expecting.
If I make a zeros vector with two discontiguous 1 values, then I also
get the full x range, with two spikes.
y = np.zeros(10)
y[2] = 1
y[5] = 1
plt.bar(x, y)
Is this expected? It certainly surprised me...
Matthew
Which version of matplotlib are you running? I could have sworn this was fixed awhile ago. If I understand the problem correctly, essentially, the autoscalling was clipping empty patches out.
Ben Root
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On Sun, Oct 26, 2014 at 2:57 AM, Matthew Brett <matthew.brett@…83…287…> wrote:
Hi,
I just noticed that this:
x = np.arange(10)
y = np.zeros(10)
y[5] = 1
plt.bar(x, y)
Will generate a big box for x = 5 with x 0:5 and 6: stripped, whereas this:
y += 0.000001
plt.bar(x, y)
Will generate a bar plot going from x = 0 to 9 with a bar at 5 as I
was expecting.
If I make a zeros vector with two discontiguous 1 values, then I also
get the full x range, with two spikes.
y = np.zeros(10)
y[2] = 1
y[5] = 1
plt.bar(x, y)
Is this expected? It certainly surprised me…
Matthew
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I'm embarrassed to say that I didn't look at my version, and now I do,
it was 1.3.1, and you are quite right, 1.4.0 (and 1.4.2) fixes that.
Thanks, and, sorry to write too quickly,
Matthew
···
On Mon, Oct 27, 2014 at 11:06 AM, Benjamin Root <ben.root@...1304...> wrote:
Which version of matplotlib are you running? I could have sworn this was
fixed awhile ago. If I understand the problem correctly, essentially, the
autoscalling was clipping empty patches out.