I have a plot of 3 data sets that have datetime objetcs on the x axis. I want to have a cursor that snaps to the data and shows the precise x and y value.
I already have
I got it!!!
The problems where these two lines in the init method of the SnaptoCursor class:
self.lx = ax.axhline(color = 'k') #the horiz line
self.ly = ax.axvline(color = 'k') #the vert line
They were somehow messing up the datetime x axis (that has ordinals up to 730,000 e.g.), so you just have to initialize the lines' coordinates:
self.lx = ax.axhline(y = min(y), color = 'k') #the horiz line
self.ly = ax.axvline(x = min(x), color = 'k') #the vert line
Then it works just fine!
I'll be posting my complete SnaptoCursor class now that I have modified so it accepts individual formatting strings, and it can take up to 3 input data plots - that get snapped to according to your mouse position.
def percent(x, unused):
"""
Returns a string of the float number x formatted as %.
"""
return '{0:1.2f}%'.format(x * 100)
def minsec(sec, unused):
"""
Returns a string of the input seconds formatted as mm'ss''.
"""
minutes = sec // 60
sec = sec - minutes * 60
return '{0:02d}\'{1:02d}\'\''.format(int(minutes), int(sec))
class SnaptoCursor():
"""
A cursor with crosshair snaps to the nearest x point.
For simplicity, I'm assuming x is sorted.
"""
def __init__(self, ax, x, y, formatting, y2 = None, y3 = None):
"""
ax: plot axis
x: plot spacing
y: plot data
formatting: string flag for desired formatting
y2: optional second plot data
y3: optional third plot data
"""
self.ax = ax
self.lx = ax.axhline(y = min(y), color = 'k') #the horiz line
self.ly = ax.axvline(x = min(x), color = 'k') #the vert line
self.x = x
self.y = y
self.y2 = y2
self.y3 = y3
# text location in axes coords
self.txt = ax.text(0.6, 0.9, '', transform = ax.transAxes)
self.formatting = formatting
def format(self, x, y):
if self.formatting == 'minsec':
return 'x={0:d}, y='.format(x) + minsec(y, 0)
if self.formatting == 'decimal':
return 'x={0:d}, y={1:d}'.format(x, int(y))
elif self.formatting == 'date decimal':
return 'x={0:%d.%m.%Y}, y={1:d}'.format(x, int(y))
elif self.formatting == 'decimal percent':
return 'x={0:d}, y={1:d}%'.format(x, int(y * 100))
elif self.formatting == 'float':
return 'x={0:d}, y={1:.2f}'.format(x, y)
elif self.formatting == 'float percent':
return 'x={0:d}, y='.format(x) + percent(y, 0)
elif self.formatting == 'daily euro':
return u'day {0:d}: {1:.2f}€'.format(x, y)
def mouse_move(self, event):
if not event.inaxes:
return
mouseX, mouseY = event.xdata, event.ydata
if type(self.x[0]) == datetime.datetime:
mouseX = dates.num2date(int(mouseX)).replace(tzinfo = None)
#searchsorted: returns an index or indices that suggest where mouseX should be inserted
#so that the order of the list self.x would be preserved
indx = np.searchsorted(self.x, [mouseX])[0]
#if indx is out of bounds
if indx >= len(self.x):
indx = len(self.x) - 1
#if y2 wasn't defined
if self.y2 == None:
mouseY = self.y[indx]
#if y2 was defined AND y3 wasn't defined
elif self.y3 == None:
if abs(mouseY - self.y[indx]) < abs(mouseY - self.y2[indx]):
mouseY = self.y[indx]
else:
mouseY = self.y2[indx]
#if y2 AND y3 were defined
elif abs(mouseY - self.y2[indx]) < abs(mouseY - self.y[indx]):
if abs(mouseY - self.y2[indx]) < abs(mouseY - self.y3[indx]):
mouseY = self.y2[indx]
else:
mouseY = self.y3[indx]
#lastly, compare y with y3
elif abs(mouseY - self.y[indx]) < abs(mouseY - self.y3[indx]):
mouseY = self.y[indx]
else:
mouseY = self.y3[indx]
#update the line positions
self.lx.set_ydata(mouseY)
self.ly.set_xdata(mouseX)
self.txt.set_text(self.format(mouseX, mouseY))
plot.draw()