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Commit 3bc7fdc4 authored by Tyler Thatcher's avatar Tyler Thatcher
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Removed Test

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%% Cell type:code id: tags:
``` python
import os
import numpy as np
from plio.examples import get_path
# Reads a .atf file and outputs all of the
# .ipf, .gpf, .sup, .prj, and path to locate the
# .apf file (should be the same as all others)
def read_atf(atf_file):
with open(get_path(atf_file)) as f:
atf_file = get_path(atf_file);
files = []
ipf = []
sup = []
files_dict = []
# Grabs every PRJ, GPF, SUP, and IPF image from the ATF file
for line in f:
if line[-4:-1] == 'prj' or line[-4:-1] == 'gpf' or line[-4:-1] == 'sup' or line[-4:-1] == 'ipf' or line[-4:-1] == 'atf':
files.append(line)
files = np.array(files)
# Creates appropriate arrays for certain files in the right format
for file in files:
file = file.strip()
file = file.split(' ')
# Grabs all the IPF files
if file[1].endswith('.ipf'):
ipf.append(file[1])
# Grabs all the SUP files
if file[1].endswith('.sup'):
sup.append(file[1])
files_dict.append(file)
# Creates a dict out of file lists for GPF, PRJ, IPF, and ATF
files_dict = (dict(files_dict))
# Sets the value of IMAGE_IPF to all IPF images
files_dict['IMAGE_IPF'] = ipf
# Sets the value of IMAGE_SUP to all SUP images
files_dict['IMAGE_SUP'] = sup
# Sets the value of PATH to the path of the ATF file
files_dict['PATH'] = os.path.dirname(os.path.abspath(atf_file))
return files_dict
read_atf('CTX_Athabasca_Middle_step0.atf')
```
%% Output
{'ATF_FILE': 'CTX_Athabasca_Middle_step0.atf',
'GP_FILE': 'CTX_Athabasca_Middle.gpf',
'IMAGE_IPF': ['P19_008344_1894_XN_09N203W.ipf',
'P20_008845_1894_XN_09N203W.ipf',
'P03_002371_1888_XI_08N204W.ipf',
'P01_001540_1889_XI_08N204W.ipf',
'P01_001606_1897_XI_09N203W.ipf',
'P03_002226_1895_XI_09N203W.ipf'],
'IMAGE_SUP': ['P19_008344_1894_XN_09N203W.sup',
'P20_008845_1894_XN_09N203W.sup',
'P03_002371_1888_XI_08N204W.sup',
'P01_001540_1889_XI_08N204W.sup',
'P01_001606_1897_XI_09N203W.sup',
'P03_002226_1895_XI_09N203W.sup'],
'PATH': '/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet',
'PROJECT': 'D:\\data\\CTX_Athabasca_Middle.prj'}
%% Cell type:code id: tags:
``` python
import os
import sys
import math
sys.path.insert(0, os.path.abspath('/home/tthatcher/Desktop/Projects/Plio/plio'))
import pandas as pd
import numpy as np
from plio.examples import get_path
from plio.io.io_bae import read_gpf
from plio.io.io_gdal import GeoDataset
```
%% Cell type:code id: tags:
``` python
def read_ipf(input_data):
"""
Read a socet ipf file into a pandas data frame
Parameters
----------
input_data : str
path to the an input data file
Returns
-------
df : pd.DataFrame
containing the ipf data with appropriate column names and indices
"""
# Check that the number of rows is matching the expected number
with open(input_data, 'r') as f:
for i, l in enumerate(f):
if i == 1:
cnt = int(l)
elif i == 2:
col = l
break
# TODO: Add unicode conversion
d = [line.split() for line in open(input_data, 'r')]
d = np.hstack(np.array(d[3:]))
d = d.reshape(-1, 12)
assert int(cnt) == len(d), 'Dataframe length {} does not match point length {}.'.format(int(cnt), len(df))
return d
def read_ipfs(input_data_list):
"""
Read a socet ipf file into a pandas data frame
Parameters
----------
input_data_list : list
list of paths to the a set of input data files
Returns
-------
df : pd.DataFrame
containing the ipf data with appropriate column names and indices
"""
columns = np.genfromtxt(input_data_list[0], skip_header=2, dtype='unicode',
max_rows = 1, delimiter = ',')
d_total = []
for input_file in input_data_list:
d = read_ipf(input_file)
for point in d:
d_total.append(point)
df = pd.DataFrame(d_total, columns=columns)
# Soft conversion of numeric types to numerics, allows str in first col for point_id
df = df.apply(pd.to_numeric, errors='ignore')
return df
```
%% Cell type:code id: tags:
``` python
gpf_file = get_path('CTX_Athabasca_Middle.gpf');
ipf_list = [get_path('P20_008845_1894_XN_09N203W.ipf'),
get_path('P03_002371_1888_XI_08N204W.ipf'),
get_path('P01_001540_1889_XI_08N204W.ipf'),
get_path('P01_001606_1897_XI_09N203W.ipf'),
get_path('P03_002226_1895_XI_09N203W.ipf'),]
# ipf_list = [get_path('P20_008845_1894_XN_09N203W.ipf')]
print(ipf_list)
gpf_df = read_gpf(gpf_file).set_index('point_id')
ipf_df = read_ipfs(ipf_list).set_index('pt_id')
# ipf_df.to_csv("/Users/adampaquette/repos/plio/plio/examples/SocetSet/P20_008845_1894_XN_09N203W.csv")
```
%% Output
['/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet/P20_008845_1894_XN_09N203W.ipf', '/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet/P03_002371_1888_XI_08N204W.ipf', '/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet/P01_001540_1889_XI_08N204W.ipf', '/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet/P01_001606_1897_XI_09N203W.ipf', '/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet/P03_002226_1895_XI_09N203W.ipf']
%% Cell type:code id: tags:
``` python
new_df = ipf_df.merge(gpf_df, left_index=True, right_index=True)
# print(new_df.columns)
new_df.index('')
```
%% Output
val fid_val no_obs l. s. \
10_8344_8845_4r 1 0 0 -4044.697510 1008.950928
10_8344_8845_4r 1 0 0 1700.584473 -2390.001709
10_8344_8845_4r 1 0 0 2006.141113 -2234.915283
11_8344_8845_4r 1 0 0 -761.216064 2303.787109
11_8344_8845_4r 1 0 0 4985.437988 -1070.364990
11_8344_8845_4r 1 0 0 5293.700195 -993.390625
12_8344_8845_4r 1 0 0 -889.364441 966.533997
12_8344_8845_4r 1 0 0 4856.525391 -2439.154785
12_8344_8845_4r 1 0 0 5158.205566 -2295.737549
13_8344_8845_4r 1 0 0 -2559.871338 1777.522827
13_8344_8845_4r 1 0 0 3186.063232 -1598.743530
13_8344_8845_4r 1 0 0 3493.876221 -1493.029175
14_8344_8845_4r 1 0 0 2385.278320 2476.032227
14_8344_8845_4r 1 0 0 8131.361816 -902.645325
14_8344_8845_4r 1 0 0 8437.115234 -842.309326
15_8344_8845_4r_mt_z 1 0 0 2395.869385 1038.165405
15_8344_8845_4r_mt_z 1 0 0 8142.054688 -2364.445557
15_8344_8845_4r_mt_z 1 0 0 8440.085938 -2219.049805
16_8344_8845_4r 1 0 0 756.099792 1785.494751
16_8344_8845_4r 1 0 0 6502.070313 -1593.964233
16_8344_8845_4r 1 0 0 6805.896973 -1493.774048
17_8344_8845_2r_mt_z 1 0 0 -3138.269531 442.515503
18_8344_8845_2r 1 0 0 -1773.864990 354.084259
19_8344_8845_2r_mt_z 1 0 0 -92.482826 723.305237
1_8344_8845_4r 1 0 0 -4058.982422 -2318.010742
1_8344_8845_4r 1 0 0 -6144.898438 677.674805
1_8344_8845_4r 1 0 0 -5284.357910 504.304413
20_8344_8845_2r_mt_z 1 0 0 1434.079712 742.064026
21_8344_8845_4r_xyz 1 0 0 -838.991028 -614.524109
21_8344_8845_4r_xyz 1 0 0 -2919.093018 2467.773926
... ... ... ... ... ...
P20_008845_1894_XN_09N203W_16 1 0 2 2865.000000 2024.000000
P20_008845_1894_XN_09N203W_16 1 0 1 8611.724609 -1352.647949
P20_008845_1894_XN_09N203W_16 1 0 1 8914.713867 -1261.989868
P20_008845_1894_XN_09N203W_17 1 0 2 3175.000000 1974.000000
P20_008845_1894_XN_09N203W_17 1 0 1 8921.941406 -1402.745361
P20_008845_1894_XN_09N203W_17 1 0 1 9224.031250 -1309.074219
P20_008845_1894_XN_09N203W_18 1 0 2 2872.000000 1565.000000
P20_008845_1894_XN_09N203W_18 1 0 1 8617.777344 -1818.614380
P20_008845_1894_XN_09N203W_18 1 0 1 8918.806641 -1701.755249
P20_008845_1894_XN_09N203W_2 1 0 0 -3389.000000 -2155.000000
P20_008845_1894_XN_09N203W_2 1 0 1 -5474.326660 842.207031
P20_008845_1894_XN_09N203W_2 1 0 0 -4613.785645 643.217224
P20_008845_1894_XN_09N203W_3 1 0 0 -2913.000000 -2000.000000
P20_008845_1894_XN_09N203W_3 1 0 1 -4997.791504 1000.375854
P20_008845_1894_XN_09N203W_3 1 0 0 -4137.536133 774.480347
P20_008845_1894_XN_09N203W_4 1 0 1 -3226.000000 167.000000
P20_008845_1894_XN_09N203W_5 1 0 1 -2934.000000 -6.000000
P20_008845_1894_XN_09N203W_5 1 0 0 -4165.228516 2507.076660
P20_008845_1894_XN_09N203W_6 1 0 3 -3378.000000 1532.000000
P20_008845_1894_XN_09N203W_6 1 0 1 2367.587646 -1849.272095
P20_008845_1894_XN_09N203W_6 1 0 1 2675.137207 -1730.558105
P20_008845_1894_XN_09N203W_7 1 0 3 -3378.000000 1672.000000
P20_008845_1894_XN_09N203W_7 1 0 1 2367.507813 -1706.241821
P20_008845_1894_XN_09N203W_7 1 0 1 2675.892578 -1596.527100
P20_008845_1894_XN_09N203W_8 1 0 3 -2793.000000 1837.000000
P20_008845_1894_XN_09N203W_8 1 0 1 2953.094727 -1538.956543
P20_008845_1894_XN_09N203W_8 1 0 1 3261.290039 -1439.873169
P20_008845_1894_XN_09N203W_9 1 0 0 -780.000000 -1953.000000
P20_008845_1894_XN_09N203W_9 1 0 0 -2866.689453 1031.006104
P20_008845_1894_XN_09N203W_9 1 0 0 -2002.366211 824.604126
sig_l sig_s res_l res_s fid_x \
10_8344_8845_4r 0.000000 0.000000 0.063678 0.661294 0.0
10_8344_8845_4r 0.000000 0.000000 -0.063695 -1.055619 0.0
10_8344_8845_4r 0.000000 0.000000 0.318779 -0.585138 0.0
11_8344_8845_4r 0.000000 0.000000 -0.247307 -0.587299 0.0
11_8344_8845_4r 0.000000 0.000000 0.239207 1.080801 0.0
11_8344_8845_4r 0.000000 0.000000 0.672877 0.626316 0.0
12_8344_8845_4r 0.000000 0.000000 -0.251753 0.008170 0.0
12_8344_8845_4r 0.000000 0.000000 0.133406 0.068024 0.0
12_8344_8845_4r 0.000000 0.000000 0.487209 0.036399 0.0
13_8344_8845_4r 0.000000 0.000000 -0.131265 -0.305102 0.0
13_8344_8845_4r 0.000000 0.000000 0.019201 0.485372 0.0
13_8344_8845_4r 0.000000 0.000000 0.568393 0.146750 0.0
14_8344_8845_4r 0.000000 0.000000 0.389532 -0.299258 0.0
14_8344_8845_4r 0.000000 0.000000 -0.469784 0.023018 0.0
14_8344_8845_4r 0.000000 0.000000 0.289877 -0.829150 0.0
15_8344_8845_4r_mt_z 0.000000 0.000000 -0.170850 0.372485 0.0
15_8344_8845_4r_mt_z 0.000000 0.000000 -0.072035 -0.832436 0.0
15_8344_8845_4r_mt_z 0.000000 0.000000 0.274030 -0.850105 0.0
16_8344_8845_4r 0.000000 0.000000 0.165338 -0.327408 0.0
16_8344_8845_4r 0.000000 0.000000 -0.007916 0.463232 0.0
16_8344_8845_4r 0.000000 0.000000 0.328896 0.019526 0.0
17_8344_8845_2r_mt_z 0.000000 0.000000 -0.023370 -0.248643 0.0
18_8344_8845_2r 0.000000 0.000000 -0.002223 -0.000684 0.0
19_8344_8845_2r_mt_z 0.000000 0.000000 -0.214498 0.145192 0.0
1_8344_8845_4r 0.000000 0.000000 -0.062556 -0.214713 0.0
1_8344_8845_4r 0.000000 0.000000 -0.069161 0.311984 0.0
1_8344_8845_4r 0.000000 0.000000 0.002209 0.194239 0.0
20_8344_8845_2r_mt_z 0.000000 0.000000 -0.058132 -0.171782 0.0
21_8344_8845_4r_xyz 0.000000 0.000000 -0.131313 0.997120 0.0
21_8344_8845_4r_xyz 0.000000 0.000000 -0.469767 -0.745137 0.0
... ... ... ... ... ...
P20_008845_1894_XN_09N203W_16 0.000000 0.000000 -0.053859 0.035981 0.0
P20_008845_1894_XN_09N203W_16 0.015722 0.015722 -0.153906 -0.039881 0.0
P20_008845_1894_XN_09N203W_16 0.023530 0.023530 0.691574 -0.075730 0.0
P20_008845_1894_XN_09N203W_17 0.000000 0.000000 -0.064058 0.044374 0.0
P20_008845_1894_XN_09N203W_17 0.017650 0.017650 -0.016220 -0.049595 0.0
P20_008845_1894_XN_09N203W_17 0.030802 0.030802 0.567955 -0.078411 0.0
P20_008845_1894_XN_09N203W_18 0.000000 0.000000 0.256228 0.218860 0.0
P20_008845_1894_XN_09N203W_18 0.114295 0.114295 -0.500861 -0.252638 0.0
P20_008845_1894_XN_09N203W_18 0.022017 0.022017 0.734173 -0.074947 0.0
P20_008845_1894_XN_09N203W_2 0.000000 0.000000 -0.073150 -0.271173 0.0
P20_008845_1894_XN_09N203W_2 0.275627 0.275627 0.164525 0.349547 0.0
P20_008845_1894_XN_09N203W_2 0.091086 0.091086 0.132736 0.239899 0.0
P20_008845_1894_XN_09N203W_3 0.000000 0.000000 -0.088180 -0.049593 0.0
P20_008845_1894_XN_09N203W_3 0.132941 0.132941 0.257260 0.117777 0.0
P20_008845_1894_XN_09N203W_3 0.185544 0.185544 0.199301 0.065777 0.0
P20_008845_1894_XN_09N203W_4 0.000000 0.000000 -0.195774 -0.000066 0.0
P20_008845_1894_XN_09N203W_5 0.000000 0.000000 -0.049005 0.437424 0.0
P20_008845_1894_XN_09N203W_5 0.000000 0.000000 0.447100 -0.219764 0.0
P20_008845_1894_XN_09N203W_6 0.000000 0.000000 0.026541 0.063346 0.0
P20_008845_1894_XN_09N203W_6 0.025110 0.025110 -0.040890 -0.136247 0.0
P20_008845_1894_XN_09N203W_6 0.064276 0.064276 0.546035 -0.185103 0.0
P20_008845_1894_XN_09N203W_7 0.000000 0.000000 0.055623 0.013456 0.0
P20_008845_1894_XN_09N203W_7 0.047435 0.047435 -0.157931 -0.042074 0.0
P20_008845_1894_XN_09N203W_7 0.058218 0.058218 0.589561 -0.111421 0.0
P20_008845_1894_XN_09N203W_8 0.000000 0.000000 -0.117483 -0.229337 0.0
P20_008845_1894_XN_09N203W_8 0.023364 0.023364 0.177406 0.403161 0.0
P20_008845_1894_XN_09N203W_8 0.023538 0.023538 0.575510 0.180705 0.0
P20_008845_1894_XN_09N203W_9 0.000000 0.000000 0.298743 -0.045963 0.0
P20_008845_1894_XN_09N203W_9 0.000000 0.000000 -0.038437 0.471309 0.0
P20_008845_1894_XN_09N203W_9 0.397616 0.397616 -0.141172 0.105223 0.0
... known lat_Y_North long_X_East \
10_8344_8845_4r ... 0 0.159378 2.724649
10_8344_8845_4r ... 0 0.159378 2.724649
10_8344_8845_4r ... 0 0.159378 2.724649
11_8344_8845_4r ... 0 0.164905 2.721815
11_8344_8845_4r ... 0 0.164905 2.721815
11_8344_8845_4r ... 0 0.164905 2.721815
12_8344_8845_4r ... 0 0.164949 2.724076
12_8344_8845_4r ... 0 0.164949 2.724076
12_8344_8845_4r ... 0 0.164949 2.724076
13_8344_8845_4r ... 0 0.161840 2.723059
13_8344_8845_4r ... 0 0.161840 2.723059
13_8344_8845_4r ... 0 0.161840 2.723059
14_8344_8845_4r ... 0 0.170415 2.720880
14_8344_8845_4r ... 0 0.170415 2.720880
14_8344_8845_4r ... 0 0.170415 2.720880
15_8344_8845_4r_mt_z ... 1 0.170723 2.723266
15_8344_8845_4r_mt_z ... 1 0.170723 2.723266
15_8344_8845_4r_mt_z ... 1 0.170723 2.723266
16_8344_8845_4r ... 0 0.167682 2.722359
16_8344_8845_4r ... 0 0.167682 2.722359
16_8344_8845_4r ... 0 0.167682 2.722359
17_8344_8845_2r_mt_z ... 1 0.161092 2.725426
18_8344_8845_2r ... 0 0.163515 2.725299
19_8344_8845_2r_mt_z ... 1 0.166403 2.724323
1_8344_8845_4r ... 0 0.160037 2.730339
1_8344_8845_4r ... 0 0.160037 2.730339
1_8344_8845_4r ... 0 0.160037 2.730339
20_8344_8845_2r_mt_z ... 1 0.169088 2.723969
21_8344_8845_4r_xyz ... 3 0.165360 2.726740
21_8344_8845_4r_xyz ... 3 0.165360 2.726740
... ... ... ... ...
P20_008845_1894_XN_09N203W_16 ... 0 0.171351 2.721519
P20_008845_1894_XN_09N203W_16 ... 0 0.171351 2.721519
P20_008845_1894_XN_09N203W_16 ... 0 0.171351 2.721519
P20_008845_1894_XN_09N203W_17 ... 0 0.171907 2.721537
P20_008845_1894_XN_09N203W_17 ... 0 0.171907 2.721537
P20_008845_1894_XN_09N203W_17 ... 0 0.171907 2.721537
P20_008845_1894_XN_09N203W_18 ... 0 0.171455 2.722281
P20_008845_1894_XN_09N203W_18 ... 0 0.171455 2.722281
P20_008845_1894_XN_09N203W_18 ... 0 0.171455 2.722281
P20_008845_1894_XN_09N203W_2 ... 0 0.161184 2.729925
P20_008845_1894_XN_09N203W_2 ... 0 0.161184 2.729925
P20_008845_1894_XN_09N203W_2 ... 0 0.161184 2.729925
P20_008845_1894_XN_09N203W_3 ... 0 0.161992 2.729563
P20_008845_1894_XN_09N203W_3 ... 0 0.161992 2.729563
P20_008845_1894_XN_09N203W_3 ... 0 0.161992 2.729563
P20_008845_1894_XN_09N203W_4 ... 0 0.160994 2.725912
P20_008845_1894_XN_09N203W_5 ... 0 0.161544 2.726149
P20_008845_1894_XN_09N203W_5 ... 0 0.161544 2.726149
P20_008845_1894_XN_09N203W_6 ... 0 0.160447 2.723639
P20_008845_1894_XN_09N203W_6 ... 0 0.160447 2.723639
P20_008845_1894_XN_09N203W_6 ... 0 0.160447 2.723639
P20_008845_1894_XN_09N203W_7 ... 0 0.160419 2.723407
P20_008845_1894_XN_09N203W_7 ... 0 0.160419 2.723407
P20_008845_1894_XN_09N203W_7 ... 0 0.160419 2.723407
P20_008845_1894_XN_09N203W_8 ... 0 0.161417 2.723012
P20_008845_1894_XN_09N203W_8 ... 0 0.161417 2.723012
P20_008845_1894_XN_09N203W_8 ... 0 0.161417 2.723012
P20_008845_1894_XN_09N203W_9 ... 0 0.165741 2.729053
P20_008845_1894_XN_09N203W_9 ... 0 0.165741 2.729053
P20_008845_1894_XN_09N203W_9 ... 0 0.165741 2.729053
ht sigma0 sigma1 sigma2 \
10_8344_8845_4r -2523.828227 0.0 0.0 25.000000
10_8344_8845_4r -2523.828227 0.0 0.0 25.000000
10_8344_8845_4r -2523.828227 0.0 0.0 25.000000
11_8344_8845_4r -2445.237027 0.0 0.0 30.000000
11_8344_8845_4r -2445.237027 0.0 0.0 30.000000
11_8344_8845_4r -2445.237027 0.0 0.0 30.000000
12_8344_8845_4r -2606.935163 0.0 0.0 100.000000
12_8344_8845_4r -2606.935163 0.0 0.0 100.000000
12_8344_8845_4r -2606.935163 0.0 0.0 100.000000
13_8344_8845_4r -2551.901554 0.0 0.0 4.536068
13_8344_8845_4r -2551.901554 0.0 0.0 4.536068
13_8344_8845_4r -2551.901554 0.0 0.0 4.536068
14_8344_8845_4r -2505.953426 0.0 0.0 5.000000
14_8344_8845_4r -2505.953426 0.0 0.0 5.000000
14_8344_8845_4r -2505.953426 0.0 0.0 5.000000
15_8344_8845_4r_mt_z -2502.470000 0.0 0.0 5.000000
15_8344_8845_4r_mt_z -2502.470000 0.0 0.0 5.000000
15_8344_8845_4r_mt_z -2502.470000 0.0 0.0 5.000000
16_8344_8845_4r -2558.312931 0.0 0.0 1.707214
16_8344_8845_4r -2558.312931 0.0 0.0 1.707214
16_8344_8845_4r -2558.312931 0.0 0.0 1.707214
17_8344_8845_2r_mt_z -2590.130000 0.0 0.0 2.000000
18_8344_8845_2r -2608.227033 0.0 0.0 1.000000
19_8344_8845_2r_mt_z -2597.460000 0.0 0.0 2.000000
1_8344_8845_4r -2539.150747 0.0 0.0 4.000000
1_8344_8845_4r -2539.150747 0.0 0.0 4.000000
1_8344_8845_4r -2539.150747 0.0 0.0 4.000000
20_8344_8845_2r_mt_z -2522.470000 0.0 0.0 2.000000
21_8344_8845_4r_xyz -2209.490000 2.0 2.0 1.000000
21_8344_8845_4r_xyz -2209.490000 2.0 2.0 1.000000
... ... ... ... ...
P20_008845_1894_XN_09N203W_16 -2499.843797 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_16 -2499.843797 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_16 -2499.843797 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_17 -2504.618390 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_17 -2504.618390 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_17 -2504.618390 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_18 -2514.431453 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_18 -2514.431453 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_18 -2514.431453 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_2 -2535.712262 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_2 -2535.712262 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_2 -2535.712262 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_3 -2525.215515 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_3 -2525.215515 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_3 -2525.215515 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_4 -2562.446851 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_5 -2560.812028 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_5 -2560.812028 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_6 -2605.266130 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_6 -2605.266130 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_6 -2605.266130 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_7 -2619.498291 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_7 -2619.498291 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_7 -2619.498291 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_8 -2608.028730 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_8 -2608.028730 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_8 -2608.028730 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_9 -2586.686862 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_9 -2586.686862 0.0 0.0 0.000000
P20_008845_1894_XN_09N203W_9 -2586.686862 0.0 0.0 0.000000
res0 res1 res2
10_8344_8845_4r 18.301328 44.206259 416.201741
10_8344_8845_4r 18.301328 44.206259 416.201741
10_8344_8845_4r 18.301328 44.206259 416.201741
11_8344_8845_4r -22.046575 103.403228 173.210013
11_8344_8845_4r -22.046575 103.403228 173.210013
11_8344_8845_4r -22.046575 103.403228 173.210013
12_8344_8845_4r -7.549561 93.170584 180.058858
12_8344_8845_4r -7.549561 93.170584 180.058858
12_8344_8845_4r -7.549561 93.170584 180.058858
13_8344_8845_4r -1.643694 74.244153 319.554535
13_8344_8845_4r -1.643694 74.244153 319.554535
13_8344_8845_4r -1.643694 74.244153 319.554535
14_8344_8845_4r -50.069808 144.316524 -164.540707
14_8344_8845_4r -50.069808 144.316524 -164.540707
14_8344_8845_4r -50.069808 144.316524 -164.540707
15_8344_8845_4r_mt_z -34.817656 145.864550 0.214023
15_8344_8845_4r_mt_z -34.817656 145.864550 0.214023
15_8344_8845_4r_mt_z -34.817656 145.864550 0.214023
16_8344_8845_4r -29.465246 121.908506 19.874949
16_8344_8845_4r -29.465246 121.908506 19.874949
16_8344_8845_4r -29.465246 121.908506 19.874949
17_8344_8845_2r_mt_z -10.779830 38.761214 0.236077
18_8344_8845_2r -22.636068 54.092590 524.603661
19_8344_8845_2r_mt_z -42.271359 76.834077 -0.138177
1_8344_8845_4r 49.937532 -24.131687 639.699743
1_8344_8845_4r 49.937532 -24.131687 639.699743
1_8344_8845_4r 49.937532 -24.131687 639.699743
20_8344_8845_2r_mt_z -56.910236 91.282891 0.161681
21_8344_8845_4r_xyz -0.780598 -3.284978 -0.443885
21_8344_8845_4r_xyz -0.780598 -3.284978 -0.443885
... ... ... ...
P20_008845_1894_XN_09N203W_16 -43.211361 193.404135 -393.931834
P20_008845_1894_XN_09N203W_16 -43.211361 193.404135 -393.931834
P20_008845_1894_XN_09N203W_16 -43.211361 193.404135 -393.931834
P20_008845_1894_XN_09N203W_17 -44.880108 199.649337 -441.559606
P20_008845_1894_XN_09N203W_17 -44.880108 199.649337 -441.559606
P20_008845_1894_XN_09N203W_17 -44.880108 199.649337 -441.559606
P20_008845_1894_XN_09N203W_18 -38.388316 195.050373 -391.289238
P20_008845_1894_XN_09N203W_18 -38.388316 195.050373 -391.289238
P20_008845_1894_XN_09N203W_18 -38.388316 195.050373 -391.289238
P20_008845_1894_XN_09N203W_2 42.067289 -12.658160 627.742625
P20_008845_1894_XN_09N203W_2 42.067289 -12.658160 627.742625
P20_008845_1894_XN_09N203W_2 42.067289 -12.658160 627.742625
P20_008845_1894_XN_09N203W_3 36.033823 -4.170818 616.480181
P20_008845_1894_XN_09N203W_3 36.033823 -4.170818 616.480181
P20_008845_1894_XN_09N203W_3 36.033823 -4.170818 616.480181
P20_008845_1894_XN_09N203W_4 -7.233876 33.324946 574.887719
P20_008845_1894_XN_09N203W_5 7.498790 33.109007 581.149470
P20_008845_1894_XN_09N203W_5 7.498790 33.109007 581.149470
P20_008845_1894_XN_09N203W_6 7.687475 59.859663 375.680663
P20_008845_1894_XN_09N203W_6 7.687475 59.859663 375.680663
P20_008845_1894_XN_09N203W_6 7.687475 59.859663 375.680663
P20_008845_1894_XN_09N203W_7 6.358447 61.278242 375.840988
P20_008845_1894_XN_09N203W_7 6.358447 61.278242 375.840988
P20_008845_1894_XN_09N203W_7 6.358447 61.278242 375.840988
P20_008845_1894_XN_09N203W_8 -0.219662 71.414267 336.409684
P20_008845_1894_XN_09N203W_8 -0.219662 71.414267 336.409684
P20_008845_1894_XN_09N203W_8 -0.219662 71.414267 336.409684
P20_008845_1894_XN_09N203W_9 15.191825 22.094037 544.874936
P20_008845_1894_XN_09N203W_9 15.191825 22.094037 544.874936
P20_008845_1894_XN_09N203W_9 15.191825 22.094037 544.874936
[809 rows x 22 columns]
%% Cell type:code id: tags:
``` python
files_dict = read_atf('CTX_Athabasca_Middle_step0.atf')['IMAGE_SUP']
lines_samples_dict = {}
for key in files_dict:
with open(key) as f:
if f[0:5] == 'LINES':
lines_samples_dict[]
if f[0:7] == 'SAMPLES':
lines_samples_dict
print(new_df.index[800])
sup_dict = {}
for index in new_df['l.']:
if index in files_dict:
new_df['l.'] =
print(sup_dict)
atf_file = get_path(atf_file);
files = []
ipf = []
sup = []
files_dict = []
# Grabs every PRJ, GPF, SUP, and IPF image from the ATF file
for line in f:
if line[-4:-1] == 'prj' or line[-4:-1] == 'gpf' or line[-4:-1] == 'sup' or line[-4:-1] == 'ipf' or line[-4:-1] == 'atf':
files.append(line)
files = np.array(files)
```
%% Output
P20_008845_1894_XN_09N203W_7
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-52-9c95896b4ea2> in <module>()
4 sup_dict = {}
5 for files in files_dict:
----> 6 print(new_df.index[files.split('.sup')[0]])
7 sup_dict[files.split('.sup')[0]] = new_df[files.split('.sup')[0]]
8
~/anaconda3/envs/autocnet/lib/python3.6/site-packages/pandas/core/indexes/base.py in __getitem__(self, key)
1741
1742 if is_scalar(key):
-> 1743 return getitem(key)
1744
1745 if isinstance(key, slice):
IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices
%% Cell type:code id: tags:
``` python
diff = ipf_df.index.difference(pd.unique(gpf_df.index))
total_similar = 0
for i in gpf_df.index:
for j in pd.unique(ipf_df.index):
if i == j:
total_similar += 1
diff
```
%% Cell type:code id: tags:
``` python
# double ToPlanetocentric3(const double lattitude, double eRadius, double pRadius)
# {
# double mylat = (lattitude-90.0)*DegToRad;
# if(fabs(mylat)<90.0)
# {
# mylat = atan((tan(mylat) * (pRadius/eRadius) * (pRadius/eRadius)) );
# }
# return (mylat*RadToDeg)+90.0;
# }
# double ToPlanetocentric4(const double lattitude, double eRadius, double pRadius)
# {
# double mylat = (lattitude-90.0)*DegToRad;
# if(fabs(mylat)<90.0)
# {
# double oe = acos(pRadius/eRadius);
# double csqrd = cos(oe)*cos(oe);
# mylat = atan(csqrd*tan(mylat));
# }
# return (mylat*RadToDeg)+90.0;
# }
test = GeoDataset('/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/Apollo15/AS15-M-0295_SML_geo.tif')
print(test.spatial_reference)
print(test.geospatial_coordinate_system)
def ToPlanetocentric3(lat, eRadius, pRadius):
mylat = math.radians(lat - 90.0)
if(math.fabs(mylat) < 90.0):
mylat = math.atan(math.tan(mylat) * (pRadius/eRadius) * (pRadius/eRadius))
return math.degrees(mylat) + 90.0
def ToPlanetocentric4(lat, eRadius, pRadius):
mylat = math.radians(lat - 90.0)
if(math.fabs(mylat) < 90.0):
oe = math.acos(pRadius/eRadius)
cos_squared = math.cos(oe)**2
mylat = math.atan(cos_squared*(math.tan(mylat)))
return math.degrees(mylat) + 90.0
```
%% Output
GEOGCS["unnamed ellipse",
DATUM["unknown",
SPHEROID["Unknown",1737400,0]],
PRIMEM["Greenwich",0],
UNIT["Degree",0.017453292519943295]]
GEOGCS["unnamed ellipse",
DATUM["unknown",
SPHEROID["Unknown",1737400,0]],
PRIMEM["Greenwich",0],
UNIT["Degree",0.017453292519943295]]
%% Cell type:code id: tags:
``` python
```
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