def __init__(self, baseConfig) :
self.basecolors = ['red', 'green', 'yellow', 'blue', 'black', 'cyan', 'magenta']
self.basemarkers = ['D', 'o', 'v', '+', 's', 'p', 'x']
self.figsize = baseConfig.get('figsize', None)
self.axis = baseConfig.get('axis', None)
self.title = baseConfig.get('title', 'NoName')
self.xlabel = baseConfig.get('xlabel', 'NoName')
self.ylabel = baseConfig.get('ylabel', 'NoName')
self.grid = baseConfig.get('grid', False)
self.xaxis_locator = baseConfig.get('xaxis_locator', None)
self.yaxis_locator = baseConfig.get('yaxis_locator', None)
self.legend_loc = baseConfig.get('legend_loc', 0)
if self.figsize != None :
pylab.figure(figsize=self.figsize)
if self.axis != None :
pylab.axis(self.axis)
pylab.title(self.title)
pylab.xlabel(self.xlabel)
pylab.ylabel(self.ylabel)
ax = pylab.gca()
pylab.grid(self.grid)
if self.xaxis_locator != None :
ax.xaxis.set_major_locator(pylab.MultipleLocator(self.xaxis_locator))
if self.yaxis_locator != None :
ax.yaxis.set_major_locator(pylab.MultipleLocator(self.yaxis_locator))
self.lineList = []
self.id = 1
def __init__(self,
xLim=[0, 10],
yLim=[0, 10],
figsize=(6, 8),
title='hello title',
left=None,
xlabel='hello xlabel',
ylabel='hello ylabel',
xticks=None,
yticks=None,
isGrid=True,
xaxis_locator=1,
yaxis_locator=1,
legend_loc='best'):
super(barhPlot, self).__init__()
self.barhList = []
self.barhId = 0
self.plotBarhList = []
self.legendLoc = legend_loc
# 重新另起一幅图
pylab.figure(figsize=figsize)
# 画幅--figure的基本配置,left 是y轴整体的位置，表示Barh底的开始位置x=？
self.left = left
pylab.xlim(xLim)
pylab.ylim(yLim)
pylab.title(title, fontsize=50)
pylab.xlabel(xlabel, fontsize=30)
pylab.ylabel(ylabel, fontsize=30)
pylab.grid(isGrid)
ax = pylab.gca()
ax.xaxis.set_major_locator(pylab.MultipleLocator(xaxis_locator))
ax.yaxis.set_major_locator(pylab.MultipleLocator(yaxis_locator))
self.yticks = yticks
def __init__(self, baseConfig) :
self.figsize = baseConfig.get('figsize',None)
self.axis = baseConfig.get('axis',None)
self.title = unicode(baseConfig.get('title','NoName'), 'utf-8')
self.ylabel = unicode(baseConfig.get('ylabel','NoName'), 'utf-8')
self.grid = baseConfig.get('grid',False)
self.xaxis_locator = baseConfig.get('xaxis_locator',None)
self.yaxis_locator = baseConfig.get('yaxis_locator',None)
self.legend_loc = baseConfig.get('legend_loc',0)
if 'xticks' in baseConfig :
xticks_conf = baseConfig.get('xticks')
print xticks_conf
_rotation = int(xticks_conf.get('ticks_rotation', 0))
x_idx = xticks_conf.get('x_idx',[])
x_lable = xticks_conf.get('x_lable', [])
if len(x_idx) > 0 and len(x_idx) == len(x_lable) :
pylab.xticks(x_idx, x_lable, rotation=_rotation)
if self.figsize != None :
pylab.figure(figsize = self.figsize)
if self.axis != None :
pylab.axis(self.axis)
pylab.title(self.title)
pylab.ylabel(self.ylabel)
ax = pylab.gca()
pylab.grid(self.grid)
if self.xaxis_locator != None :
ax.xaxis.set_major_locator( pylab.MultipleLocator(self.xaxis_locator) )
if self.yaxis_locator != None :
ax.yaxis.set_major_locator( pylab.MultipleLocator(self.yaxis_locator) )
self.lineList = []
self.id = 1
def __init__(self, baseConfig) :
self.figsize = baseConfig.get('figsize',None)
self.axis = baseConfig.get('axis',None)
self.title = baseConfig.get('title','NoName')
self.ylabel = baseConfig.get('ylabel','NoName')
self.grid = baseConfig.get('grid',False)
self.xaxis_locator = baseConfig.get('xaxis_locator',None)
self.yaxis_locator = baseConfig.get('yaxis_locator',None)
self.legend_loc = baseConfig.get('legend_loc',0)
if self.figsize != None :
pylab.figure(figsize = self.figsize)
if self.axis != None :
pylab.axis(self.axis)
pylab.title(self.title)
pylab.ylabel(self.ylabel)
ax = pylab.gca()
pylab.grid(self.grid)
if self.xaxis_locator != None :
ax.xaxis.set_major_locator( pylab.MultipleLocator(self.xaxis_locator) )
if self.yaxis_locator != None :
ax.yaxis.set_major_locator( pylab.MultipleLocator(self.yaxis_locator) )
self.lineList = []
self.id = 1
def setArcFormat(self):
self.subplot.xaxis.set_major_formatter(PL.FuncFormatter(self.arcsec_format))
self.subplot.xaxis.set_major_locator(PL.MultipleLocator(self.parent.M/10))
self.subplot.yaxis.set_major_formatter(PL.FuncFormatter(self.arcsec_format))
self.subplot.yaxis.set_major_locator(PL.MultipleLocator(self.parent.M/10))
self.subplot.set_xlim(200., 400.)
self.subplot.set_ylim(200., 400.)
def show(self, title=None, figsize=None, **params):
if params.get('show') == False: # keep call chaining
return self
logger.info('===============showing image============')
self.info()
info = self.getInfo()
assert info['width'] and info['height'], 'img shape error!'
params = dict(self.imshow_params, **params)
logger.info(params)
logger.info(f'{title or self.title}:')
if self.isColor():
if params['cmap'] == 'hsv':
logger.warn('HSV format should covert back to RGB!')
img = self.org()
if self.CHANNELS_ORDER == ('b', 'g', 'r'):
img = img[..., ::-1] # swap B and R channels for plt show
else:
if params['cmap'] == 'viridis':
logger.warn(
"Single channel image, set cmap to default 'Grey_r'")
params['cmap'] = 'Greys_r'
img = self.gray().org()
else:
img = self.org()
fig = pylab.figure(figsize=figsize or FIGSIZE)
x_major_locator = int(img.shape[1] / 10)
x_minor_locator = x_major_locator / 4
ax = plt.gca()
ax.xaxis.set_major_locator(pylab.MultipleLocator(x_major_locator))
ax.xaxis.set_minor_locator(pylab.MultipleLocator(x_minor_locator))
ax.yaxis.set_minor_locator(pylab.MultipleLocator(x_minor_locator))
pylab.imshow(img, **params)
pylab.show()
return self
def setticks(ax,
xlog=False,
ylog=False,
xmajor=5,
xminor=1,
ymajor=2,
yminor=0.5):
if not xlog:
xmajorLocator = pylab.MultipleLocator(xmajor)
xmajorFormatter = pylab.FormatStrFormatter('%d')
xminorLocator = pylab.MultipleLocator(xminor)
ax.xaxis.set_major_locator(xmajorLocator)
#ax.xaxis.set_major_formatter(xmajorFormatter)
ax.xaxis.set_minor_locator(xminorLocator)
if not ylog:
ymajorLocator = pylab.MultipleLocator(ymajor)
ymajorFormatter = pylab.FormatStrFormatter('%d')
yminorLocator = pylab.MultipleLocator(yminor)
ax.yaxis.set_major_locator(ymajorLocator)
#ax.yaxis.set_major_formatter(ymajorFormatter)
ax.yaxis.set_minor_locator(yminorLocator)
ax.get_yaxis().set_tick_params(which='both', direction='out')
ax.get_xaxis().set_tick_params(which='both', direction='out')
for tick in ax.xaxis.get_ticklines():
tick.set_markersize(3.25)
for tick in ax.yaxis.get_ticklines():
tick.set_markersize(3.25)
for tick in ax.xaxis.get_ticklines(minor=True):
tick.set_markersize(2.75)
for tick in ax.yaxis.get_ticklines(minor=True):
tick.set_markersize(2.75)
def __init__(self,
xLim=[0, 10],
yLim=[0, 10],
figsize=(6, 8),
title='hello title',
xlabel='hello xlabel',
ylabel='hello ylabel',
isGrid=True,
xaxis_locator=1,
yaxis_locator=1,
legend_loc='best'):
super(curvePlot, self).__init__()
self.curveList = []
self.curveId = 0
self.legendLoc = legend_loc
# 重新另起一幅图
pylab.figure(figsize=figsize)
# 画幅--figure的基本配置
pylab.xlim(xLim)
pylab.ylim(yLim)
pylab.title(title, fontsize=50)
pylab.xlabel(xlabel, fontsize=30)
pylab.ylabel(ylabel, fontsize=30)
pylab.grid(isGrid)
ax = pylab.gca()
ax.xaxis.set_major_locator(pylab.MultipleLocator(xaxis_locator))
ax.yaxis.set_major_locator(pylab.MultipleLocator(yaxis_locator))
# 曲线的可选选项
self.curveColorsList = ['r', 'g', 'y', 'b', 'k', 'c', 'm']
self.lineStyleList = ['-', '--', '-.', ':', '.', ' ', '']
self.makerStyleList = ['s', 'p', '*', 'h', 'H', '+', 'x', 'D', 'd']
def setUvFormat(self):
self.subplot.xaxis.set_major_formatter(PL.FuncFormatter(self.uv_format))
self.subplot.xaxis.set_major_locator(PL.MultipleLocator(self.parent.M/6))
self.subplot.yaxis.set_major_formatter(PL.FuncFormatter(self.uv_format))
self.subplot.yaxis.set_major_locator(PL.MultipleLocator(self.parent.M/6))
self.subplot.set_xlim(100., 500.)
self.subplot.set_ylim(100., 500.)
def demo_grid():
ax = plt.axes([0.025, 0.025, 0.95, 0.95])
ax.set_xlim(0, 4)
ax.set_ylim(0, 3)
ax.xaxis.set_major_locator(plt.MultipleLocator(1.0))
ax.xaxis.set_minor_locator(plt.MultipleLocator(0.1))
ax.yaxis.set_major_locator(plt.MultipleLocator(1.0))
ax.yaxis.set_minor_locator(plt.MultipleLocator(0.1))
ax.grid(which='major',
axis='x',
linewidth=0.75,
linestyle='-',
color='0.75')
ax.grid(which='minor',
axis='x',
linewidth=0.25,
linestyle='-',
color='0.75')
ax.grid(which='major',
axis='y',
linewidth=0.75,
linestyle='-',
color='0.75')
ax.grid(which='minor',
axis='y',
linewidth=0.25,
linestyle='-',
color='0.75')
ax.set_xticklabels([])
ax.set_yticklabels([])
# savefig('../figures/grid_ex.png',dpi=48)
plt.show()
def __init__(self,
xLim=[0, 10],
yLim=[0, 10],
figsize=(6, 8),
title='hello title',
xlabel='hello xlabel',
ylabel='hello ylabel',
isGrid=True,
xaxis_locator=1,
yaxis_locator=1,
legend_loc='best'):
super(scatterPlot, self).__init__()
self.scatterList = []
self.scatterId = 0
self.plotScatterList = []
self.legendLoc = legend_loc
# 重新另起一幅图
pylab.figure(figsize=figsize)
# 画幅--figure的基本配置
pylab.xlim(xLim)
pylab.ylim(yLim)
pylab.title(title, fontsize=50)
pylab.xlabel(xlabel, fontsize=30)
pylab.ylabel(ylabel, fontsize=30)
pylab.grid(isGrid)
ax = pylab.gca()
ax.xaxis.set_major_locator(pylab.MultipleLocator(xaxis_locator))
ax.yaxis.set_major_locator(pylab.MultipleLocator(yaxis_locator))
def _initFig(self):
w, h = self.media_info['width'], self.media_info['height']
tip_h = 300
fig = pylab.figure()
fig.set_figwidth(9) # 12.8
fig.set_figheight(9 * (h + tip_h) / w)
left_margin, bottom_margin, width = 0.05, 0.02, 0.9
ax_main = pylab.axes([
left_margin, bottom_margin + 0.9 * tip_h / (tip_h + h), width,
0.9 * h / (tip_h + h)
])
ax_main.xaxis.set_ticks_position('top')
ax_main.set_xlim((0, w))
ax_main.set_ylim((h, 0))
ax_main.xaxis.set_major_locator(pylab.MultipleLocator(100))
ax_main.xaxis.set_minor_locator(pylab.MultipleLocator(20))
ax_main.yaxis.set_minor_locator(pylab.MultipleLocator(20))
ax_tip = pylab.axes(
[left_margin, bottom_margin, width, 0.9 * tip_h / (tip_h + h)])
ax_tip.set_xlim((0, w))
ax_tip.set_ylim((tip_h, 0))
ax_tip.set_xticks([])
ax_tip.set_yticks([])
ax_tip.set_facecolor('#ebe6eb')
pylab.close()
self.fig = fig
self.ax_main = ax_main
self.ax_tip = ax_tip
def plotTrans(root):
"""
Plot the fractional change in plate scale and PA over many different
starlists that have been aligned. You can either give align results
for many different epochs or align results for many different cleaned
frames in a single epoch.
root - align output
"""
tab = asciidata.open(root + '.trans')
a0 = tab[3].tonumarray()
a0e = tab[4].tonumarray()
a1 = tab[5].tonumarray()
a1e = tab[6].tonumarray()
a2 = tab[7].tonumarray()
a2e = tab[8].tonumarray()
b0 = tab[9].tonumarray()
b0e = tab[10].tonumarray()
b1 = tab[11].tonumarray()
b1e = tab[12].tonumarray()
b2 = tab[13].tonumarray()
b2e = tab[14].tonumarray()
trans = []
for ff in range(len(a0)):
tt = objects.Transform()
tt.a = [a0[ff], a1[ff], a2[ff]]
tt.b = [b0[ff], b1[ff], b2[ff]]
tt.aerr = [a0e[ff], a1e[ff], a2e[ff]]
tt.berr = [b0e[ff], b1e[ff], b2e[ff]]
tt.linearToSpherical(override=False)
trans.append(tt)
# Read epochs
dateTab = asciidata.open(root + '.date')
numEpochs = dateTab.ncols
years = [dateTab[i][0] for i in range(numEpochs)]
p.clf()
p.subplot(211)
p.plot(scale - 1.0, 'ko')
p.ylabel('Fract. Plate Scale Difference')
if (years[0] != years[1]):
thePlot = p.gca()
thePlot.get_xaxis().set_major_locator(p.MultipleLocator(0.1))
thePlot.get_xaxis().set_major_formatter(p.FormatStrFormatter('%8.3f'))
p.subplot(212)
p.plot(angle, 'ko')
p.ylabel('Position Angle')
if (years[0] != years[1]):
thePlot = p.gca()
thePlot.get_xaxis().set_major_locator(p.MultipleLocator(0.1))
thePlot.get_xaxis().set_major_formatter(p.FormatStrFormatter('%8.3f'))
def set_xtick(major, minor, axes=None):
"""Satt *major* och *minor* tick-marks pa x-axeln
"""
if axes is None:
axes = pylab.gca()
if not isinstance(axes, (list, tuple)):
axes = [axes]
for ax in axes:
ax.xaxis.set_major_locator(pylab.MultipleLocator(major))
ax.xaxis.set_minor_locator(pylab.MultipleLocator(minor))
def BaryonicTullyFisher(self, G):
print 'Plotting the baryonic TF relationship'
seed(2222)
plt.figure() # New figure
ax = plt.subplot(111) # 1 plot on the figure
# w = np.where((G.Type == 0) & (G.StellarMass + G.ColdGas > 0.0) & (G.Vmax > 0.0))[0]
w = np.where((G.Type == 0) & (G.StellarMass + G.ColdGas > 0.0) & (
(G.ClassicalBulgeMass + G.SecularBulgeMass) / G.StellarMass > 0.1)
& ((G.ClassicalBulgeMass + G.SecularBulgeMass) /
G.StellarMass < 0.5))[0]
if (len(w) > dilute): w = sample(w, dilute)
mass = np.log10(
(G.StellarMass[w] + G.ColdGas[w]) * 1.0e10 / self.Hubble_h)
vel = np.log10(G.Vmax[w])
plt.scatter(vel,
mass,
marker='o',
s=1,
c='k',
alpha=0.5,
label='Model Sb/c galaxies')
# overplot Stark, McGaugh & Swatters 2009 (assumes h=0.75? ... what IMF?)
w = np.arange(0.5, 10.0, 0.5)
TF = 3.94 * w + 1.79
plt.plot(w, TF, 'b-', lw=2.0, label='Stark, McGaugh \& Swatters 2009')
plt.ylabel(
r'$\log_{10}\ M_{\mathrm{bar}}\ (M_{\odot})$') # Set the y...
plt.xlabel(r'$\log_{10}V_{max}\ (km/s)$') # and the x-axis labels
# Set the x and y axis minor ticks
ax.xaxis.set_minor_locator(plt.MultipleLocator(0.05))
ax.yaxis.set_minor_locator(plt.MultipleLocator(0.25))
plt.axis([1.4, 2.6, 8.0, 12.0])
leg = plt.legend(loc='lower right')
leg.draw_frame(False) # Don't want a box frame
for t in leg.get_texts(): # Reduce the size of the text
t.set_fontsize('medium')
outputFile = OutputDir + '4.BaryonicTullyFisher' + OutputFormat
plt.savefig(outputFile) # Save the figure
print 'Saved file to', outputFile
plt.close()
# Add this plot to our output list
OutputList.append(outputFile)
def BlackHoleBulgeRelationship(self, G):
print 'Plotting the black hole-bulge relationship'
seed(2222)
plt.figure() # New figure
ax = plt.subplot(111) # 1 plot on the figure
w = np.where(((G.ClassicalBulgeMass + G.SecularBulgeMass) > 0.01)
& (G.BlackHoleMass > 0.00001))[0]
if (len(w) > dilute): w = sample(w, dilute)
bh = np.log10(G.BlackHoleMass[w] * 1.0e10 / self.Hubble_h)
bulge = np.log10((G.ClassicalBulgeMass[w] + G.SecularBulgeMass[w]) *
1.0e10 / self.Hubble_h)
plt.scatter(bulge,
bh,
marker='o',
s=1,
c='k',
alpha=0.5,
label='Model galaxies')
# overplot Haring & Rix 2004
w = 10.**np.arange(20)
BHdata = 10.**(8.2 + 1.12 * np.log10(w / 1.0e11))
plt.plot(np.log10(w),
np.log10(BHdata),
'b-',
label="Haring \& Rix 2004")
plt.ylabel(r'$\log\ M_{\mathrm{BH}}\ (M_{\odot})$') # Set the y...
plt.xlabel(r'$\log\ M_{\mathrm{bulge}}\ (M_{\odot})$'
) # and the x-axis labels
# Set the x and y axis minor ticks
ax.xaxis.set_minor_locator(plt.MultipleLocator(0.05))
ax.yaxis.set_minor_locator(plt.MultipleLocator(0.25))
plt.axis([8.0, 12.0, 6.0, 10.0])
leg = plt.legend(loc='upper left')
leg.draw_frame(False) # Don't want a box frame
for t in leg.get_texts(): # Reduce the size of the text
t.set_fontsize('medium')
outputFile = OutputDir + '8.BlackHoleBulgeRelationship' + OutputFormat
plt.savefig(outputFile) # Save the figure
print 'Saved file to', outputFile
plt.close()
# Add this plot to our output list
OutputList.append(outputFile)
def xAxis():
ax = pylab.subplot(111)
majLoc = pylab.MultipleLocator(0.02)
majFmat = pylab.FormatStrFormatter(
'%f') # or some other format - this puts the numbers on
ax.xaxis.set_major_locator(majLoc)
# ax.xaxis.set_major_formatter(majFmat)
minLoc = pylab.MultipleLocator(0.01)
ax.xaxis.set_minor_locator(
minLoc) #for the minor ticks, use no labels; default NullFormatter
def yAxis():
ay = pylab.subplot(111)
majLoc = pylab.MultipleLocator(50)
majFmat = pylab.FormatStrFormatter(
'%d') # or some other format - this puts the numbers on
ay.yaxis.set_major_locator(majLoc)
ay.yaxis.set_major_formatter(majFmat)
minLoc = pylab.MultipleLocator(10)
ay.yaxis.set_minor_locator(
minLoc) #for the minor ticks, use no labels; default NullFormatter
def SpecificStarFormationRate(self, G):
print 'Plotting the specific SFR'
seed(2222)
plt.figure() # New figure
ax = plt.subplot(111) # 1 plot on the figure
w = np.where(G.StellarMass > 0.01)[0]
if (len(w) > dilute): w = sample(w, dilute)
mass = np.log10(G.StellarMass[w] * 1.0e10 / self.Hubble_h)
sSFR = np.log10((G.SfrDisk[w] + G.SfrBulge[w]) /
(G.StellarMass[w] * 1.0e10 / self.Hubble_h))
plt.scatter(mass,
sSFR,
marker='o',
s=1,
c='k',
alpha=0.5,
label='Model galaxies')
# overplot dividing line between SF and passive
w = np.arange(7.0, 13.0, 1.0)
plt.plot(w, w / w * sSFRcut, 'b:', lw=2.0)
plt.ylabel(
r'$\log_{10}\ s\mathrm{SFR}\ (\mathrm{yr^{-1}})$') # Set the y...
plt.xlabel(r'$\log_{10} M_{\mathrm{stars}}\ (M_{\odot})$'
) # and the x-axis labels
# Set the x and y axis minor ticks
ax.xaxis.set_minor_locator(plt.MultipleLocator(0.05))
ax.yaxis.set_minor_locator(plt.MultipleLocator(0.25))
plt.axis([8.0, 12.0, -16.0, -8.0])
leg = plt.legend(loc='lower right')
leg.draw_frame(False) # Don't want a box frame
for t in leg.get_texts(): # Reduce the size of the text
t.set_fontsize('medium')
outputFile = OutputDir + '5.SpecificStarFormationRate' + OutputFormat
plt.savefig(outputFile) # Save the figure
print 'Saved file to', outputFile
plt.close()
# Add this plot to our output list
OutputList.append(outputFile)
def GasFraction(self, G):
print 'Plotting the gas fractions'
seed(2222)
plt.figure() # New figure
ax = plt.subplot(111) # 1 plot on the figure
w = np.where((G.Type == 0) & (G.StellarMass + G.ColdGas > 0.0) & (
(G.ClassicalBulgeMass + G.SecularBulgeMass) / G.StellarMass > 0.1)
& ((G.ClassicalBulgeMass + G.SecularBulgeMass) /
G.StellarMass < 0.5))[0]
if (len(w) > dilute): w = sample(w, dilute)
mass = np.log10(G.StellarMass[w] * 1.0e10 / self.Hubble_h)
fraction = G.ColdGas[w] / (G.StellarMass[w] + G.ColdGas[w])
plt.scatter(mass,
fraction,
marker='o',
s=1,
c='k',
alpha=0.5,
label='Model Sb/c galaxies')
plt.ylabel(
r'$\mathrm{Cold\ Mass\ /\ (Cold+Stellar\ Mass)}$') # Set the y...
plt.xlabel(r'$\log_{10} M_{\mathrm{stars}}\ (M_{\odot})$'
) # and the x-axis labels
# Set the x and y axis minor ticks
ax.xaxis.set_minor_locator(plt.MultipleLocator(0.05))
ax.yaxis.set_minor_locator(plt.MultipleLocator(0.25))
plt.axis([8.0, 12.0, 0.0, 1.0])
leg = plt.legend(loc='upper right')
leg.draw_frame(False) # Don't want a box frame
for t in leg.get_texts(): # Reduce the size of the text
t.set_fontsize('medium')
outputFile = OutputDir + '6.GasFraction' + OutputFormat
plt.savefig(outputFile) # Save the figure
print 'Saved file to', outputFile
plt.close()
# Add this plot to our output list
OutputList.append(outputFile)
def rstyle(ax, pres=False):
"""
Styles x,y axes to appear like ggplot2
Must be called after all plot and axis manipulation operations have been
carried out (needs to know final tick spacing)
"""
#Set the style of the major and minor grid lines, filled blocks
if pres:
ax.grid(True, 'major', color='w', linestyle='-', linewidth=0.7)
ax.grid(True, 'minor', color='0.99', linestyle='-', linewidth=0.4)
else:
ax.grid(True, 'major', color='w', linestyle='-', linewidth=1.4)
ax.grid(True, 'minor', color='0.99', linestyle='-', linewidth=0.7)
ax.patch.set_facecolor('0.90')
ax.set_axisbelow(True)
#Set minor tick spacing to 1/2 of the major ticks
ax.xaxis.set_minor_locator((pylab.MultipleLocator(
(plt.xticks()[0][1] - plt.xticks()[0][0]) / 2.0)))
ax.yaxis.set_minor_locator((pylab.MultipleLocator(
(plt.yticks()[0][1] - plt.yticks()[0][0]) / 2.0)))
#Remove axis border
for child in ax.get_children():
if isinstance(child, matplotlib.spines.Spine):
child.set_alpha(0)
#Restyle the tick lines
for line in ax.get_xticklines() + ax.get_yticklines():
if pres:
line.set_markersize(4)
line.set_color("gray")
line.set_markeredgewidth(.8)
else:
line.set_markersize(5)
line.set_color("gray")
line.set_markeredgewidth(1.4)
#Remove the minor tick lines
for line in (ax.xaxis.get_ticklines(minor=True) +
ax.yaxis.get_ticklines(minor=True)):
line.set_markersize(0)
#Only show bottom left ticks, pointing out of axis
plt.rcParams['xtick.direction'] = 'out'
plt.rcParams['ytick.direction'] = 'out'
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
def barGraph(data, **kw):
"""Draws a bar graph for the given data"""
from pylab import bar
kw.setdefault('barw', 0.5)
kw.setdefault('log', 0)
kw.setdefault('color', 'blue')
xs = [i + 1 for i, row in enumerate(data)]
names, ys = zip(*data)
names = [n.replace('_', '\n') for n in names]
#print 'got xs %s, ys %s, names %s' % (xs, ys, names)
bar(xs,
ys,
width=kw['barw'],
color=kw['color'],
align='center',
log=kw['log'])
ax = pylab.gca()
def f(x, pos=None):
n = int(x) - 1
if n + 1 != x: return ''
if n < 0: return ''
try:
return names[n]
except IndexError:
return ''
ax.xaxis.set_major_formatter(pylab.FuncFormatter(f))
ax.xaxis.set_major_locator(pylab.MultipleLocator(1))
ax.set_xlim(0.5, len(names) + 0.5)
for l in ax.get_xticklabels():
pylab.setp(l, rotation=90)
start = 0.08, 0.18
pos = (start[0], start[1], 0.99 - start[0], 0.95 - start[1])
ax.set_position(pos)
def plotAllRaw(dic):
"""This function plots the raw variables (current and voltage) in dic.
It will plot fields that have more than 1 y variable but less than 20,"""
count = 1
for key in dic.keys():
# print key
# figure(count)
arr = dic[key]
if (type(arr) == type(np.eye(1))):
numX = arr.shape[1]
# print numX
ml = p.MultipleLocator(100000)
if (numX < 20 and numX > 1):
if (key == 'TaggingInfo'):
break
fig = p.figure()
fig.suptitle(key)
nrows = math.ceil(numX / 3)
ncols = numX if nrows == 1 else 3
# print nrows, ncols
for i in range(numX):
sp = p.subplot(nrows, ncols, i + 1)
pl = p.plot(abs(arr[:, i]))[0]
if (sp.is_last_row()):
p.xlabel("Time in milliseconds")
if (sp.is_first_col()):
p.ylabel(key)
pl.axes.xaxis.set_major_locator(ml)
count = count + 1
def rstyle(ax):
'''Styles x,y axes to appear like ggplot2
Must be called after all plot and axis manipulation operations have been
carried out (needs to know final tick spacing)
From:
http://nbviewer.ipython.org/github/wrobstory/climatic/blob/master/examples/ggplot_styling_for_matplotlib.ipynb
'''
import pylab
import matplotlib
import matplotlib.pyplot as plt
#Set the style of the major and minor grid lines, filled blocks
ax.grid(True, 'major', color='w', linestyle='-', linewidth=1.4)
ax.grid(True, 'minor', color='0.99', linestyle='-', linewidth=0.7)
ax.patch.set_facecolor('0.90')
ax.set_axisbelow(True)
#Set minor tick spacing to 1/2 of the major ticks
ax.xaxis.set_minor_locator((pylab.MultipleLocator(
(plt.xticks()[0][1] - plt.xticks()[0][0]) / 2.0)))
ax.yaxis.set_minor_locator((pylab.MultipleLocator(
(plt.yticks()[0][1] - plt.yticks()[0][0]) / 2.0)))
#Remove axis border
for child in ax.get_children():
if isinstance(child, matplotlib.spines.Spine):
child.set_alpha(0)
#Restyle the tick lines
for line in ax.get_xticklines() + ax.get_yticklines():
line.set_markersize(5)
line.set_color("gray")
line.set_markeredgewidth(1.4)
#Remove the minor tick lines
for line in (ax.xaxis.get_ticklines(minor=True) +
ax.yaxis.get_ticklines(minor=True)):
line.set_markersize(0)
#Only show bottom left ticks, pointing out of axis
plt.rcParams['xtick.direction'] = 'out'
plt.rcParams['ytick.direction'] = 'out'
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
def plot_setticks(x=True, y=True):
pl.minorticks_on()
ax = pl.gca()
if x:
ax.xaxis.set_major_locator(pl.AutoLocator())
x_major = ax.xaxis.get_majorticklocs()
dx_minor = (x_major[-1] - x_major[0]) / (len(x_major) - 1) / 5.
ax.xaxis.set_minor_locator(pl.MultipleLocator(dx_minor))
else:
pl.minorticks_off()
if y:
ax.yaxis.set_major_locator(pl.AutoLocator())
y_major = ax.yaxis.get_majorticklocs()
dy_minor = (y_major[-1] - y_major[0]) / (len(y_major) - 1) / 5.
ax.yaxis.set_minor_locator(pl.MultipleLocator(dy_minor))
else:
pl.minorticks_off()
def ggplot(ax):
"""Styles an axes to appear like ggplot2
Must be called after all plot and axis manipulation operations have been carried out (needs to know final tick spacing)
"""
#set the style of the major and minor grid lines, filled blocks
ax.grid(True, 'major', color='w', linestyle='-', linewidth=1.4)
ax.grid(True, 'minor', color='0.92', linestyle='-', linewidth=0.7)
ax.patch.set_facecolor('0.85')
ax.set_axisbelow(True)
#set minor tick spacing to 1/2 of the major ticks
ax.xaxis.set_minor_locator(
pl.MultipleLocator((pl.xticks()[0][1] - pl.xticks()[0][0]) / 2.0))
ax.yaxis.set_minor_locator(
pl.MultipleLocator((pl.yticks()[0][1] - pl.yticks()[0][0]) / 2.0))
#remove axis border
for child in ax.get_children():
if isinstance(child, spines.Spine):
child.set_alpha(0)
#restyle the tick lines
for line in ax.get_xticklines() + ax.get_yticklines():
line.set_markersize(5)
line.set_color("gray")
line.set_markeredgewidth(1.4)
#remove the minor tick lines
for line in ax.xaxis.get_ticklines(minor=True) + ax.yaxis.get_ticklines(
minor=True):
line.set_markersize(0)
#only show bottom left ticks, pointing out of axis
rcParams['xtick.direction'] = 'out'
rcParams['ytick.direction'] = 'out'
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
if ax.legend_ <> None:
lg = ax.legend_
lg.get_frame().set_linewidth(0)
lg.get_frame().set_alpha(0.5)
def sigmoidplot():
x = plt.linspace(-10, 10, 5)
y = plt.linspace(-10, 10, 10)
z = plt.linspace(-10, 10, 100)
plt.plot(x, sigmoid(x), 'r', label='linspace(-10,10,5)')
plt.plot(y, sigmoid(y), 'b', label='linspace(-10,10,10)')
plt.plot(z, sigmoid(z), 'y', label='linspace(-10,10,100)')
plt.title('Sigmoid Function')
plt.suptitle('Math')
plt.grid()
plt.legend(loc='lower right')
plt.text(-9, 0.8, r'$\sigma(x)=\frac{1}{1+e^{-x}}$', fontsize=15)
plt.gca().xaxis.set_major_locator(plt.MultipleLocator(2))
plt.gca().yaxis.set_major_locator(plt.MultipleLocator(0.1))
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
plt.show()
def visualplot(size, step_size):
"""Takes size of required field and step size as input and initializes a plot"""
fig = pylab.figure()
ax = fig.add_subplot(1, 1, 1)
pylab.ylim(size / -2, size / 2)
pylab.xlim(size / -2, size / 2)
loc = pylab.MultipleLocator(
base=step_size) # this locator puts ticks at regular intervals
ax.xaxis.set_major_locator(loc)
ax.yaxis.set_major_locator(loc)
pylab.grid()
def imshow_cube_image(image, header=None, compass=True, blackhole=True,
cmap=None):
"""
Call imshow() to plot a cube image. Make sure it is already
masked. Also pass in the header to do the compass rose calculations.
"""
# Setup axis info (x is the 2nd axis)
xcube = (np.arange(image.shape[1]) - m31pos[0]) * 0.05
ycube = (np.arange(image.shape[0]) - m31pos[1]) * 0.05
xtickLoc = py.MultipleLocator(0.4)
if cmap is None:
cmap = py.cm.jet
# Plot the image.
py.imshow(image,
extent=[xcube[0], xcube[-1], ycube[0], ycube[-1]],
cmap=cmap)
py.gca().get_xaxis().set_major_locator(xtickLoc)
py.xlabel('X (arcsec)')
py.ylabel('Y (arcsec)')
# Get the spectrograph position angle for compass rose
if compass is True:
if header is None:
pa = paSpec
else:
pa = header['PA_SPEC']
# Make a compass rose
cosSin = np.array([ math.cos(math.radians(pa)),
math.sin(math.radians(pa)) ])
arr_base = np.array([ xcube[-1]-0.5, ycube[-1]-0.6 ])
arr_n = cosSin * 0.2
arr_w = cosSin[::-1] * 0.2
py.arrow(arr_base[0], arr_base[1], arr_n[0], arr_n[1],
edgecolor='w', facecolor='w', width=0.03, head_width=0.08)
py.arrow(arr_base[0], arr_base[1], -arr_w[0], arr_w[1],
edgecolor='w', facecolor='w', width=0.03, head_width=0.08)
py.text(arr_base[0]+arr_n[0]+0.1, arr_base[1]+arr_n[1]+0.1, 'N',
color='white',
horizontalalignment='left', verticalalignment='bottom')
py.text(arr_base[0]-arr_w[0]-0.15, arr_base[1]+arr_w[1]+0.1, 'E',
color='white',
horizontalalignment='right', verticalalignment='center')
if blackhole is True:
py.plot([0], [0], 'ko')
py.xlim([-0.5, 0.6])
py.ylim([-2.0, 1.8])
def smart_locate(ax, n_max, bases=[1, 2, 5]):
x0, x1 = ax.get_view_interval()
if x1 == x0:
return
delta = (x1 - x0) / (n_max - 1)
# Find smallest base and p such delta < base*10^p
log_spacing = min([
np.ceil(np.log10(delta) - np.log10(b)) + np.log10(b)
for b in bases
])
loc = pl.MultipleLocator(10**log_spacing)
ax.set_major_locator(loc)
