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FEAT: add dist in output of function pygrt.utils.read_statsfile_ptam #19

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Merged
merged 1 commit into from
Apr 19, 2025
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FEAT: add dist in output of function pygrt.utils.read_statsfile_ptam #19

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11 changes: 5 additions & 6 deletions docs/source/Tutorial/integ_converg/run/run.py
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Original file line number Diff line number Diff line change
Expand Up @@ -73,12 +73,12 @@

# BEGIN plot ptam
ir = 2
statsdata1, statsdata2, ptamdata = pygrt.utils.read_statsfile_ptam(f"pygrtstats_{depsrc}_{deprcv}/PTAM_{ir:04d}_*/PTAM_0050_*")
statsdata1, statsdata2, ptamdata, dist = pygrt.utils.read_statsfile_ptam(f"pygrtstats_{depsrc}_{deprcv}/PTAM_{ir:04d}_*/PTAM_0050_*")

srctype="DC"
mtype="2"
ptype="0"
fig, ax = pygrt.utils.plot_statsdata_ptam(statsdata1, statsdata2, ptamdata, dist=distarr[ir], srctype=srctype, mtype=mtype, ptype=ptype, RorI=2)
fig, ax = pygrt.utils.plot_statsdata_ptam(statsdata1, statsdata2, ptamdata, dist=dist, srctype=srctype, mtype=mtype, ptype=ptype, RorI=2)
fig.savefig(f"{srctype}_{mtype}{ptype}_{depsrc}_ptam_RI.png", dpi=100)
# END plot ptam

Expand All @@ -99,18 +99,17 @@
static_grn = pymod.compute_static_grn(xarr, yarr, statsfile=f"static_pygrtstats_{depsrc}_{deprcv}")

ir = 0
distarr = np.sqrt(xarr**2 + yarr**2)
statsdata1, statsdata2, ptamdata = pygrt.utils.read_statsfile_ptam(f"static_pygrtstats_{depsrc}_{deprcv}/PTAM_{ir:04d}_*/PTAM")
statsdata1, statsdata2, ptamdata, dist = pygrt.utils.read_statsfile_ptam(f"static_pygrtstats_{depsrc}_{deprcv}/PTAM_{ir:04d}_*/PTAM")

srctype="DC"
mtype="2"
ptype="0"
# 只使用离散波数积分的积分变化
fig, ax = pygrt.utils.plot_statsdata(statsdata1, dist=distarr[ir], srctype=srctype, mtype=mtype, ptype=ptype, RorI=True)
fig, ax = pygrt.utils.plot_statsdata(statsdata1, dist=dist, srctype=srctype, mtype=mtype, ptype=ptype, RorI=True)
fig.savefig(f"{srctype}_{mtype}{ptype}_{depsrc}_static.png", dpi=100)

# 使用了峰谷平均法的积分变化
fig, ax = pygrt.utils.plot_statsdata_ptam(statsdata1, statsdata2, ptamdata, dist=distarr[ir], srctype=srctype, mtype=mtype, ptype=ptype, RorI=True)
fig, ax = pygrt.utils.plot_statsdata_ptam(statsdata1, statsdata2, ptamdata, dist=dist, srctype=srctype, mtype=mtype, ptype=ptype, RorI=True)
fig.savefig(f"{srctype}_{mtype}{ptype}_{depsrc}_ptam_static.png", dpi=100)

# END SGRN
97 changes: 0 additions & 97 deletions example/view_integ_stats/view.ipynb
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14 changes: 14 additions & 0 deletions example/view_integ_stats/view.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,14 @@
import pygrt
import numpy as np
import matplotlib.pyplot as plt
import glob

data = pygrt.utils.read_statsfile("stgrtstats/halfspace2_0.1_0/K")

dist = 3
fig, ax = pygrt.utils.plot_statsdata(data, dist, "DC", "2", "2")


data1, data2, ptamdata, dist = pygrt.utils.read_statsfile_ptam("stgrtstats/halfspace2_0.1_0/PTAM_0090_*/PTAM")
fig, ax = pygrt.utils.plot_statsdata_ptam(data1, data2, ptamdata, dist, "DC", "2", "2")
plt.show()
6 changes: 5 additions & 1 deletion pygrt/utils.py
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Expand Up @@ -1260,12 +1260,16 @@ def read_statsfile_ptam(statsfile:str):
- **data1** - `numpy.ndarray <https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html>`_ 自定义类型数组，DWM或FIM过程中的积分过程数据
- **data2** - `numpy.ndarray <https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html>`_ 自定义类型数组，PTAM过程中的积分过程数据
- **ptam_data** - `numpy.ndarray <https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html>`_ 自定义类型数组，PTAM的峰谷位置及幅值
- **dist** - 文件对应的震中距(km)
'''
Lst = glob.glob(statsfile)
if len(Lst) != 1:
raise OSError(f"{statsfile} should only match one file, but {len(Lst)} matched.")
statsfile = Lst[0]

# 获得震中距
dist = float(os.path.dirname(statsfile).split("_")[-1])

# 从文件路径命名中，获得对应的K文件路径
PTAMname = os.path.basename(statsfile)
if "_" in PTAMname: # 动态解
Expand Down Expand Up @@ -1328,7 +1332,7 @@ def read_statsfile_ptam(statsfile:str):
]
)

return data1, data2, ptam_data
return data1, data2, ptam_data, dist



Expand Down