Are you definately passing through datetime objects, or are you passing
through the datetime ordinals / Julian time?
Definitely datetime objects:
if xtime:
min_x = datetime.datetime(, 12, 31, 23, 59, 59)
max_x = datetime.datetime(1970, 1, 1, 0, 0, 0)
def
On Fri, Jul 12, 2013 at 8:47 AM, Skip Montanaro s...@pobox.com wrote:
Is there some way to get the x axis to display
fractions of a second? There is no strftime format character
corresponding to that. (I proposed one on python-dev several years
ago, but I don't think it was ever adopted.)
Let me return to my FuncFormatter usage. As I indicated in an earlier
post, I made a single format decision based on the x range of the
entire data set. The decision code was straightforward:
x_delta = x_range[1] - x_range[0]
if x_delta int(1.5 * 365) * ONE_DAY:
xfmt = %Y-%m-%d
I am not at all familiar with dates in matplotlib, but what does plt.xlim()
yield? Or are the limits not updated before calling the tick formatter?
Bingo! I changed plt to pylab and now I have access to the x
range of the current viewport.
Thanks,
Skip
Skip,
I am not at all familiar with dates in matplotlib, but what does plt.xlim()
yield? Or are the limits not updated before calling the tick formatter?
-Sterling
On Jul 12, 2013, at 8:49AM, Skip Montanaro wrote:
Let me return to my FuncFormatter usage. As I indicated in an earlier
post,
I have a small matplotlib app I wrote to plot columns of a CSV files.
The X axis is almost always time. Once displayed, I will often zoom in
on a small patch of a plot. I'm currently selecting the strftime
format based on the original time range of the input. As I zoom in,
however, that
I have a small matplotlib app I wrote to plot columns of a CSV files.
The X axis is almost always time. Once displayed, I will often zoom in
on a small patch of a plot. I'm currently selecting the strftime
format based on the original time range of the input. As I zoom in,
however, that doesn't
