Python matplotlib.lines.TICKLEFT Examples
The following are 15
code examples of matplotlib.lines.TICKLEFT().
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matplotlib.lines
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Example #1
| Source File: axis.py From Computable with MIT License | 6 votes |
|
def apply_tickdir(self, tickdir):
if tickdir is None:
tickdir = rcParams['%s.direction' % self._name]
self._tickdir = tickdir
if self._tickdir == 'in':
self._tickmarkers = (mlines.TICKRIGHT, mlines.TICKLEFT)
self._pad = self._base_pad
elif self._tickdir == 'inout':
self._tickmarkers = ('_', '_')
self._pad = self._base_pad + self._size / 2.
else:
self._tickmarkers = (mlines.TICKLEFT, mlines.TICKRIGHT)
self._pad = self._base_pad + self._size
# how far from the y axis line the right of the ticklabel are
Example #2
| Source File: axis.py From matplotlib-4-abaqus with MIT License | 6 votes |
|
def apply_tickdir(self, tickdir):
if tickdir is None:
tickdir = rcParams['%s.direction' % self._name]
self._tickdir = tickdir
if self._tickdir == 'in':
self._tickmarkers = (mlines.TICKRIGHT, mlines.TICKLEFT)
self._pad = self._base_pad
elif self._tickdir == 'inout':
self._tickmarkers = ('_', '_')
self._pad = self._base_pad + self._size / 2.
else:
self._tickmarkers = (mlines.TICKLEFT, mlines.TICKRIGHT)
self._pad = self._base_pad + self._size
# how far from the y axis line the right of the ticklabel are
Example #3
| Source File: axis.py From neural-network-animation with MIT License | 6 votes |
|
def apply_tickdir(self, tickdir):
if tickdir is None:
tickdir = rcParams['%s.direction' % self._name]
self._tickdir = tickdir
if self._tickdir == 'in':
self._tickmarkers = (mlines.TICKRIGHT, mlines.TICKLEFT)
self._pad = self._base_pad
elif self._tickdir == 'inout':
self._tickmarkers = ('_', '_')
self._pad = self._base_pad + self._size / 2.
else:
self._tickmarkers = (mlines.TICKLEFT, mlines.TICKRIGHT)
self._pad = self._base_pad + self._size
# how far from the y axis line the right of the ticklabel are
Example #4
| Source File: axis.py From ImageFusion with MIT License | 6 votes |
|
def apply_tickdir(self, tickdir):
if tickdir is None:
tickdir = rcParams['%s.direction' % self._name]
self._tickdir = tickdir
if self._tickdir == 'in':
self._tickmarkers = (mlines.TICKRIGHT, mlines.TICKLEFT)
self._pad = self._base_pad
elif self._tickdir == 'inout':
self._tickmarkers = ('_', '_')
self._pad = self._base_pad + self._size / 2.
else:
self._tickmarkers = (mlines.TICKLEFT, mlines.TICKRIGHT)
self._pad = self._base_pad + self._size
# how far from the y axis line the right of the ticklabel are
Example #5
| Source File: axis.py From Mastering-Elasticsearch-7.0 with MIT License | 5 votes |
|
def apply_tickdir(self, tickdir):
if tickdir is None:
tickdir = rcParams['%s.direction' % self._name]
self._tickdir = tickdir
if self._tickdir == 'in':
self._tickmarkers = (mlines.TICKRIGHT, mlines.TICKLEFT)
elif self._tickdir == 'inout':
self._tickmarkers = ('_', '_')
else:
self._tickmarkers = (mlines.TICKLEFT, mlines.TICKRIGHT)
self._pad = self._base_pad + self.get_tick_padding()
self.stale = True
# how far from the y axis line the right of the ticklabel are
Example #6
| Source File: axis.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def apply_tickdir(self, tickdir):
if tickdir is None:
tickdir = rcParams['%s.direction' % self._name]
self._tickdir = tickdir
if self._tickdir == 'in':
self._tickmarkers = (mlines.TICKRIGHT, mlines.TICKLEFT)
elif self._tickdir == 'inout':
self._tickmarkers = ('_', '_')
else:
self._tickmarkers = (mlines.TICKLEFT, mlines.TICKRIGHT)
self._pad = self._base_pad + self.get_tick_padding()
self.stale = True
# how far from the y axis line the right of the ticklabel are
Example #7
| Source File: axis.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def apply_tickdir(self, tickdir):
if tickdir is None:
tickdir = rcParams['%s.direction' % self._name]
self._tickdir = tickdir
if self._tickdir == 'in':
self._tickmarkers = (mlines.TICKRIGHT, mlines.TICKLEFT)
elif self._tickdir == 'inout':
self._tickmarkers = ('_', '_')
else:
self._tickmarkers = (mlines.TICKLEFT, mlines.TICKRIGHT)
self._pad = self._base_pad + self.get_tick_padding()
self.stale = True
# how far from the y axis line the right of the ticklabel are
Example #8
| Source File: axis.py From coffeegrindsize with MIT License | 5 votes |
|
def apply_tickdir(self, tickdir):
if tickdir is None:
tickdir = rcParams['%s.direction' % self._name]
self._tickdir = tickdir
if self._tickdir == 'in':
self._tickmarkers = (mlines.TICKRIGHT, mlines.TICKLEFT)
elif self._tickdir == 'inout':
self._tickmarkers = ('_', '_')
else:
self._tickmarkers = (mlines.TICKLEFT, mlines.TICKRIGHT)
self._pad = self._base_pad + self.get_tick_padding()
self.stale = True
# how far from the y axis line the right of the ticklabel are
Example #9
| Source File: axis.py From CogAlg with MIT License | 5 votes |
|
def apply_tickdir(self, tickdir):
if tickdir is None:
tickdir = rcParams['%s.direction' % self._name]
self._tickdir = tickdir
if self._tickdir == 'in':
self._tickmarkers = (mlines.TICKRIGHT, mlines.TICKLEFT)
elif self._tickdir == 'inout':
self._tickmarkers = ('_', '_')
else:
self._tickmarkers = (mlines.TICKLEFT, mlines.TICKRIGHT)
self._pad = self._base_pad + self.get_tick_padding()
self.stale = True
# how far from the y axis line the right of the ticklabel are
Example #10
| Source File: axis.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def apply_tickdir(self, tickdir):
if tickdir is None:
tickdir = rcParams['%s.direction' % self._name]
self._tickdir = tickdir
if self._tickdir == 'in':
self._tickmarkers = (mlines.TICKRIGHT, mlines.TICKLEFT)
elif self._tickdir == 'inout':
self._tickmarkers = ('_', '_')
else:
self._tickmarkers = (mlines.TICKLEFT, mlines.TICKRIGHT)
self._pad = self._base_pad + self.get_tick_padding()
self.stale = True
# how far from the y axis line the right of the ticklabel are
Example #11
| Source File: LSDMap_BasicPlotting.py From LSDMappingTools with MIT License | 4 votes |
|
def TickSpineFormatter(ax, sizeformat = "esurf"):
"""This formats the line weights on the bounding box and ticks.
Args:
ax1 (axis object): the matplotlib axis object
size_format (str): The size format. Can be geomorhpology, esurf or big
returns:
The axis object
Author: SMM
"""
import matplotlib.lines as mpllines
# some formatting to make some of the ticks point outward
for line in ax.get_xticklines():
line.set_marker(mpllines.TICKDOWN)
for line in ax.get_yticklines():
line.set_marker(mpllines.TICKLEFT)
if sizeformat == "esurf":
lw = 1.0
pd = 8
elif sizeformat == "geomorphology":
lw = 1.5
pd = 10
elif sizeformat == "big":
lw = 2
pd = 12
else:
lw = 1.0
pd = 8
ax.spines['top'].set_linewidth(lw)
ax.spines['left'].set_linewidth(lw)
ax.spines['right'].set_linewidth(lw)
ax.spines['bottom'].set_linewidth(lw)
# This gets all the ticks, and pads them away from the axis so that the corners don't overlap
ax.tick_params(axis='both', width=lw, pad = pd)
for tick in ax.xaxis.get_major_ticks():
tick.set_pad(pd)
return ax
#==============================================================================
# This formats ticks if you want to convert metres to km
#==============================================================================
Example #12
| Source File: tukeyplot.py From vnpy_crypto with MIT License | 4 votes |
|
def tukeyplot(results, dim=None, yticklabels=None):
npairs = len(results)
fig = plt.figure()
fsp = fig.add_subplot(111)
fsp.axis([-50,50,0.5,10.5])
fsp.set_title('95 % family-wise confidence level')
fsp.title.set_y(1.025)
fsp.set_yticks(np.arange(1,11))
fsp.set_yticklabels(['V-T','V-S','T-S','V-P','T-P','S-P','V-M',
'T-M','S-M','P-M'])
#fsp.yaxis.set_major_locator(mticker.MaxNLocator(npairs))
fsp.yaxis.grid(True, linestyle='-', color='gray')
fsp.set_xlabel('Differences in mean levels of Var', labelpad=8)
fsp.xaxis.tick_bottom()
fsp.yaxis.tick_left()
xticklines = fsp.get_xticklines()
for xtickline in xticklines:
xtickline.set_marker(lines.TICKDOWN)
xtickline.set_markersize(10)
xlabels = fsp.get_xticklabels()
for xlabel in xlabels:
xlabel.set_y(-.04)
yticklines = fsp.get_yticklines()
for ytickline in yticklines:
ytickline.set_marker(lines.TICKLEFT)
ytickline.set_markersize(10)
ylabels = fsp.get_yticklabels()
for ylabel in ylabels:
ylabel.set_x(-.04)
for pair in range(npairs):
data = .5+results[pair]/100.
#fsp.axhline(y=npairs-pair, xmin=data[0], xmax=data[1], linewidth=1.25,
fsp.axhline(y=npairs-pair, xmin=data.mean(), xmax=data[1], linewidth=1.25,
color='blue', marker="|", markevery=1)
fsp.axhline(y=npairs-pair, xmin=data[0], xmax=data.mean(), linewidth=1.25,
color='blue', marker="|", markevery=1)
#for pair in range(npairs):
# data = .5+results[pair]/100.
# data = results[pair]
# data = np.r_[data[0],data.mean(),data[1]]
# l = plt.plot(data, [npairs-pair]*len(data), color='black',
# linewidth=.5, marker="|", markevery=1)
fsp.axvline(x=0, linestyle="--", color='black')
fig.subplots_adjust(bottom=.125)
Example #13
| Source File: finance.py From Computable with MIT License | 4 votes |
|
def plot_day_summary(ax, quotes, ticksize=3,
colorup='k', colordown='r',
):
"""
quotes is a sequence of (time, open, close, high, low, ...) sequences
Represent the time, open, close, high, low as a vertical line
ranging from low to high. The left tick is the open and the right
tick is the close.
time must be in float date format - see date2num
ax : an Axes instance to plot to
ticksize : open/close tick marker in points
colorup : the color of the lines where close >= open
colordown : the color of the lines where close < open
return value is a list of lines added
"""
lines = []
for q in quotes:
t, open, close, high, low = q[:5]
if close>=open : color = colorup
else : color = colordown
vline = Line2D(
xdata=(t, t), ydata=(low, high),
color=color,
antialiased=False, # no need to antialias vert lines
)
oline = Line2D(
xdata=(t, t), ydata=(open, open),
color=color,
antialiased=False,
marker=TICKLEFT,
markersize=ticksize,
)
cline = Line2D(
xdata=(t, t), ydata=(close, close),
color=color,
antialiased=False,
markersize=ticksize,
marker=TICKRIGHT)
lines.extend((vline, oline, cline))
ax.add_line(vline)
ax.add_line(oline)
ax.add_line(cline)
ax.autoscale_view()
return lines
Example #14
| Source File: finance.py From matplotlib-4-abaqus with MIT License | 4 votes |
|
def plot_day_summary(ax, quotes, ticksize=3,
colorup='k', colordown='r',
):
"""
quotes is a sequence of (time, open, close, high, low, ...) sequences
Represent the time, open, close, high, low as a vertical line
ranging from low to high. The left tick is the open and the right
tick is the close.
time must be in float date format - see date2num
ax : an Axes instance to plot to
ticksize : open/close tick marker in points
colorup : the color of the lines where close >= open
colordown : the color of the lines where close < open
return value is a list of lines added
"""
lines = []
for q in quotes:
t, open, close, high, low = q[:5]
if close>=open : color = colorup
else : color = colordown
vline = Line2D(
xdata=(t, t), ydata=(low, high),
color=color,
antialiased=False, # no need to antialias vert lines
)
oline = Line2D(
xdata=(t, t), ydata=(open, open),
color=color,
antialiased=False,
marker=TICKLEFT,
markersize=ticksize,
)
cline = Line2D(
xdata=(t, t), ydata=(close, close),
color=color,
antialiased=False,
markersize=ticksize,
marker=TICKRIGHT)
lines.extend((vline, oline, cline))
ax.add_line(vline)
ax.add_line(oline)
ax.add_line(cline)
ax.autoscale_view()
return lines
Example #15
| Source File: tukeyplot.py From Splunking-Crime with GNU Affero General Public License v3.0 | 4 votes |
|
def tukeyplot(results, dim=None, yticklabels=None):
npairs = len(results)
fig = plt.figure()
fsp = fig.add_subplot(111)
fsp.axis([-50,50,0.5,10.5])
fsp.set_title('95 % family-wise confidence level')
fsp.title.set_y(1.025)
fsp.set_yticks(np.arange(1,11))
fsp.set_yticklabels(['V-T','V-S','T-S','V-P','T-P','S-P','V-M',
'T-M','S-M','P-M'])
#fsp.yaxis.set_major_locator(mticker.MaxNLocator(npairs))
fsp.yaxis.grid(True, linestyle='-', color='gray')
fsp.set_xlabel('Differences in mean levels of Var', labelpad=8)
fsp.xaxis.tick_bottom()
fsp.yaxis.tick_left()
xticklines = fsp.get_xticklines()
for xtickline in xticklines:
xtickline.set_marker(lines.TICKDOWN)
xtickline.set_markersize(10)
xlabels = fsp.get_xticklabels()
for xlabel in xlabels:
xlabel.set_y(-.04)
yticklines = fsp.get_yticklines()
for ytickline in yticklines:
ytickline.set_marker(lines.TICKLEFT)
ytickline.set_markersize(10)
ylabels = fsp.get_yticklabels()
for ylabel in ylabels:
ylabel.set_x(-.04)
for pair in range(npairs):
data = .5+results[pair]/100.
#fsp.axhline(y=npairs-pair, xmin=data[0], xmax=data[1], linewidth=1.25,
fsp.axhline(y=npairs-pair, xmin=data.mean(), xmax=data[1], linewidth=1.25,
color='blue', marker="|", markevery=1)
fsp.axhline(y=npairs-pair, xmin=data[0], xmax=data.mean(), linewidth=1.25,
color='blue', marker="|", markevery=1)
#for pair in range(npairs):
# data = .5+results[pair]/100.
# data = results[pair]
# data = np.r_[data[0],data.mean(),data[1]]
# l = plt.plot(data, [npairs-pair]*len(data), color='black',
# linewidth=.5, marker="|", markevery=1)
fsp.axvline(x=0, linestyle="--", color='black')
fig.subplots_adjust(bottom=.125)
