def def_plt_exp(obj_ax, str_datfile, str_label, list1d_column=[0, 1]):
_, array2d_xdata = xas_module.def_extract(str_datfile=str_datfile,
list1d_column=[list1d_column[0]])
_, array2d_ydata = xas_module.def_extract(str_datfile=str_datfile,
list1d_column=[list1d_column[1]])
obj_ax.plot(array2d_xdata, array2d_ydata, 'o', mfc='none', label=str_label)
return obj_ax
def def_pic_tm_select(
ax,
str_datfile,
list1d_column,
float_onset,
float_xwidth=0.5,
int_ntm=1,
):
_, array2d_xdata_tm = xas_module.def_extract(
str_datfile=str_datfile, list1d_column=[list1d_column[0]])
_, array2d_ydata_tm = xas_module.def_extract(
str_datfile=str_datfile, list1d_column=[list1d_column[1]])
_, array2d_kb = xas_module.def_extract(str_datfile=str_datfile,
list1d_column=[0, 1],
dtype=int)
list1d_header, array2d_ydata = xas_module.def_extract(
str_datfile=str_datfile, list1d_column=[list1d_column[2]])
array1d_index_topn = xas_module.def_tm_findmax(
array1d_xdata=array2d_xdata_tm,
array1d_ydata=array2d_ydata,
array1d_kb=array2d_kb,
float_onset=float_onset,
str_abname=list1d_header[0],
int_ntm=int_ntm,
float_xwidth=float_xwidth,
)
ax.plot(
array2d_xdata_tm[array1d_index_topn],
array2d_ydata_tm[array1d_index_topn],
's',
markersize=12,
markeredgewidth=2,
mfc='none',
)
def def_plt_theory(
obj_ax,
str_datfile,
str_label,
list1d_column,
):
_, array2d_xdata = xas_module.def_extract( str_datfile=str_datfile, list1d_column=[ list1d_column[0] ] )
_, array2d_ydata = xas_module.def_extract( str_datfile=str_datfile, list1d_column=[ list1d_column[1] ] )
obj_ax.plot( array2d_xdata, array2d_ydata, label=str_label )
return obj_ax
def def_pic_tm(
ax,
str_datfile,
list1d_column,
str_label,
):
_, array2d_xdata_tm = xas_module.def_extract( str_datfile=str_datfile, list1d_column=[ list1d_column[0] ] )
_, array2d_ydata_tm = xas_module.def_extract( str_datfile=str_datfile, list1d_column=[ list1d_column[1] ] )
ax.plot( array2d_xdata_tm, array2d_ydata_tm, 'o', label=str_label)
return ax, array2d_xdata_tm, array2d_ydata_tm
matplotlib.rcParams['font.family'] = 'sans-serif'
matplotlib.rcParams['font.sans-serif'] = ["Arial"]
matplotlib.rcParams["figure.figsize"] = (10, 8)
list1d_color = list(mcolors.TABLEAU_COLORS)
if (''):
fig, ax = plt.subplots()
str_workdir = dict_structure['110.x2y12_O22'].str_chdir
str_savefig = 'xas.alpha.pdf'
os.chdir(str_workdir)
print(os.getcwd())
float_plus = 2
str_datfile = str_exp + '20210924.pto110_a20_postscaling.csv'
_, array2d_xdata = xas_module.def_extract(str_datfile=str_datfile,
list1d_column=[1])
_, array2d_ydata = xas_module.def_extract(str_datfile=str_datfile,
list1d_column=[2])
label = r'Exp. 20$\degree$'
ax.plot(array2d_xdata,
array2d_ydata + float_plus,
'o',
mfc='none',
label=label)
str_datfile = 'xas.alpha.csv'
_, array2d_xdata = xas_module.def_extract(str_datfile=str_datfile,
list1d_column=[0])
_, array2d_ydata = xas_module.def_extract(str_datfile=str_datfile,
list1d_column=[1])
label = r'Theory 20$\degree$'