本文整理汇总了Python中GeneralUtil.python.PlotUtilities.upright_mu方法的典型用法代码示例。如果您正苦于以下问题：Python PlotUtilities.upright_mu方法的具体用法？Python PlotUtilities.upright_mu怎么用？Python PlotUtilities.upright_mu使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类GeneralUtil.python.PlotUtilities的用法示例。
在下文中一共展示了PlotUtilities.upright_mu方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: make_image_plot
# 需要导入模块: from GeneralUtil.python import PlotUtilities [as 别名]
# 或者: from GeneralUtil.python.PlotUtilities import upright_mu [as 别名]
def make_image_plot(im,imshow_kwargs=dict(cmap=plt.cm.afmhot),pct=50):
"""
Given an image object, makes a sensible plot
Args:
im: PxpLoader.SurfaceImage object
imshow_kwargs: passed directly to plt.imshow
pct: where to put 'zero' default to median (probably the surface
Returns:
output of im_show
"""
# offset the data
im_height = im.height_nm()
min_offset = np.percentile(im_height,pct)
im_height -= min_offset
range_microns = im.range_meters * 1e6
to_ret = plt.imshow(im_height.T,extent=[0,range_microns,0,range_microns],
interpolation='bicubic',**imshow_kwargs)
PlotUtilities.tom_ticks()
micron_str = PlotUtilities.upright_mu("m")
PlotUtilities.lazyLabel(micron_str,micron_str,"",
tick_kwargs=dict(direction='out'))
return to_ret 示例2: run
# 需要导入模块: from GeneralUtil.python import PlotUtilities [as 别名]
# 或者: from GeneralUtil.python.PlotUtilities import upright_mu [as 别名]
#.........这里部分代码省略.........
PlotUtilities.no_x_label(ax_tmp)
PlotUtilities.x_label_on_top(ax_tmp)
PlotUtilities.lazyLabel("","","")
PlotUtilities.xlabel("Time")
# read in the data ...
base_re = "./recreation_figure_data/"
# # Figure 1D from the science paper
ax_fec_ensemble = plt.subplot(top_spec[1,0])
fig4d = figure_recreation.save_output(base_re,"Fig1D.csv")
ylim = [0,160]
xlim = [18,32]
for wlc_x,wlc_y in zip(fig4d.wlc_x,fig4d.wlc_y):
plt.plot(wlc_x,wlc_y,'b--',alpha=0.4,linewidth=1,dashes=(2,2))
for x,y in zip(fig4d.x,fig4d.y):
plt.plot(x,y,alpha=1,linewidth=0.5)
ax_fec_ensemble.set_ylim(ylim)
ax_fec_ensemble.set_xlim(xlim)
PlotUtilities.lazyLabel("Extension","Force","")
x_kwargs = dict(width=3,unit="nm")
y_font = copy.deepcopy(Scalebar.def_font_kwargs_y)
y_font['rotation'] = 90
y_kwargs = dict(height=25,unit="pN",font_kwargs=y_font)
Scalebar.crossed_x_and_y_relative(offset_x=0.22,offset_y=0.77,
x_kwargs=x_kwargs,
y_kwargs=y_kwargs,
ax=ax_fec_ensemble)
PlotUtilities.no_x_label(ax=ax_fec_ensemble)
PlotUtilities.no_y_label(ax=ax_fec_ensemble)
# # Figure 4B from the science paper
color_equil = 'rebeccapurple'
fig4ab = figure_recreation.save_output(base_re,"Fig4AB.csv")
ax_time = plt.subplot(top_spec[1,1])
min_x,max_x = min(fig4ab.time),max(fig4ab.time)
range = [0.55,0.59]
min_x_new = min_x + (max_x-min_x)*range[0]
max_x_new = min_x + (max_x-min_x)*range[1]
idx = np.where( (fig4ab.time <= max_x_new) & (fig4ab.time >= min_x_new))
time = fig4ab.time[idx]
force = fig4ab.force[idx]
FEC_Plot._fec_base_plot(time,force,n_filter_points=200,
style_data=dict(color=color_equil,alpha=0.3,
linewidth=0.75))
ax_time.set_xlim(min_x_new,max_x_new)
ax_time.set_ylim(None,None)
unit_kwargs = dict(value_function =lambda x: x*1e6,fmt="{:.0f}")
unit_micro_s = PlotUtilities.upright_mu() + "m"
x_kwargs = dict(unit_kwargs=unit_kwargs,width=500e-6,unit=unit_micro_s)
y_font = copy.deepcopy(Scalebar.def_font_kwargs_y)
y_font['rotation'] = 90
y_kwargs = dict(height=10,unit="pN",font_kwargs=y_font)
Scalebar.crossed_x_and_y_relative(offset_x=0.5,offset_y=0.08,
x_kwargs=x_kwargs,
y_kwargs=y_kwargs,
ax=ax_time)
PlotUtilities.no_x_label(ax=ax_time)
PlotUtilities.no_y_label(ax=ax_time)
PlotUtilities.lazyLabel("Time","Force","")
velocity_annotate(ax=ax_time,v=0,color=color_equil)
# # figure 4C from the science paper -- the pfold energy landscape
fig4c = figure_recreation.save_output(base_re,"Fig4C.csv")
ax_equil = plt.subplot(top_spec[1,2])
# data is in kJ/mol, communication with hao, 2017-9-14
fig4c.energy /= 4.2
fig4c.energy_error /= 4.2
plt.errorbar(fig4c.x,fig4c.energy,fig4c.energy_error,color=color_equil,
marker='o',
mfc='w',zorder=0,markerfacecolor="None",capsize=2,elinewidth=1,
linewidth=1)
PlotUtilities.lazyLabel("Extension (nm)","Energy","")
x_kwargs = dict(unit_kwargs=dict(fmt="{:.1f}"),width=0.1,unit="nm")
y_font = copy.deepcopy(Scalebar.def_font_kwargs_y)
y_font['rotation'] = 90
y_kwargs = dict(unit_kwargs=dict(fmt="{:.1f}"),
height=0.5,unit="kcal/mol",font_kwargs=y_font)
Scalebar.crossed_x_and_y_relative(offset_x=0.22,offset_y=0.60,
x_kwargs=x_kwargs,
y_kwargs=y_kwargs,
ax=ax_equil)
# add in bell...
bell_mean = 0.64
bell_std = 0.09
x0,xf = ax_equil.get_xlim()
mean_x = bell_mean * (xf-x0) + x0
std_x = bell_std * (xf-x0)
color_bell = 'k'
plt.axvspan(mean_x-std_x,mean_x+std_x,color=color_bell,alpha=0.15)
plt.axvline(mean_x,color=color_bell,linestyle='--',zorder=0,alpha=0.7)
PlotUtilities.no_x_label(ax=ax_equil)
t = ax_equil.annotate(s=r"$\Delta x^{\ddag}_{\mathrm{Bell}}$",
xy=(0.4,0.3),color=color_bell,
xycoords="axes fraction")
PlotUtilities.no_y_label(ax=ax_equil)
loc_upper = [-0.05,1.05]
loc_lower = [-0.05,1.0]
loc = [loc_upper,loc_upper,loc_upper,
loc_lower,loc_lower,loc_lower]
PlotUtilities.label_tom(fig,loc=loc)
subplots_adjust = dict(hspace=0.07,wspace=0.15)
PlotUtilities.save_png_and_svg(fig,"diagram",
subplots_adjust=subplots_adjust)