Ruby, Python - EOP(地球姿勢パラメータ)CSV 生成!

Updated:


IERS(International Earth Rotation and Reference systems Service; 国際地球回転観測事業) の EOP(Earth Orientation Parameter; 地球姿勢(回転)パラメータ)から確定/速報/推定値を抽出し、 CSV データを生成するスクリプトを Ruby と Python で作成しました。(今後作成予定の別のツールの事前準備として)

0. 前提条件

  • Ruby 2.5.1-p57, Python 3.6.5 での動作を想定。
  • ここでは EOP(Earth Orientation Parameter; 地球姿勢(回転)パラメータ)が何かについての説明はしない。

1. 事前準備

今回使用するデータを用意しておく。

  • こちら から “/standard/finals2000A.all”, “/daily/finals2000A.daily” をダウンロードし、 “file” ディレクトリ配下に配置する。

2. Ruby スクリプトの作成

  • Shebang ストリング(1行目)では、フルパスでコマンド指定している。(当方の慣習
  • スクリプト内の flag_pm, flag_dut, flag_nut は極運動(Polar Motion)、DUT1(= UT1 - UTC)、章動(Nutation)の区分で、 F が「確定値」、I が「IERS 速報値」、P が「推定値」を意味する。

File: get_eop_csv.rb

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
#! /usr/local/bin/ruby
# coding: utf-8
#---------------------------------------------------------------------------------
#= IERS の Buttelin A テキストデータから EOP(Polar Motion etc.) CSV ファイルを生成
#  * 予め [こちら](ftp://ftp.iers.org/products/eop/rapid/) からダウンロードして
#    おいたものを使用する。
#    (IAU 2000A 章動理論によるデータ finals2000A.all", "finals2000A.daily")
#  * 1日のデータに速報値(区分"I")と確定値がある場合は、確定値を優先。
#  * 2ファイルで重複する日付のデータは "finals2000A.daily" を優先。
#  * 取得する項目:
#      date, flag_pm, pm_x, pm_x_e, pm_y, pm_y_e,
#      flag_dut, dut1, dut1_e, lod, lod_e,
#      flag_nut, nut_x, nut_x_e, nut_y, nut_y_e
#
# date          name            version
# 2018.06.25    mk-mode.com     1.00 新規作成
#
# Copyright(C) 2018 mk-mode.com All Rights Reserved.
#---------------------------------------------------------------------------------
# 引数 : なし
#---------------------------------------------------------------------------------
#++
require "open-uri"

class GetEopCsv
  USAGE    = "[USAGE] ./get_eop_csv.rb"
  FILE_A   = "./file/finals2000A.all"
  FILE_D   = "./file/finals2000A.daily"
  FILE_CSV = "data/eop.csv"
  re_str  = '^(.{6}) (.{8}) ([IP ]) (.{9})(.{9}) (.{9})(.{9})  '
  re_str += '([IP ])(.{10})(.{10}) (.{7})(.{7})  '
  re_str += '([IP ]) (.{9})(.{9}) (.{9})(.{9})'
  re_str += '(.{10})(.{10})(.{11})(.{10})(.{10})\s*$'
  RE_0     = Regexp.new(re_str)
  RE_1     = Regexp.new('.{2}')
  RE_2     = Regexp.new('^\s+$')

  def initialize
    @data = Hash.new
  end

  def exec
    get_data("A")  # 過去全データ取得
    get_data("D")  # 日次データ取得
    write_csv  # CSV 保存
  rescue => e
    $stderr.puts "[#{e.class}] #{e.message}"
    e.backtrace.each { |tr| $stderr.puts "\t#{tr}"}
    exit 1
  end

  private

  # ------------------------------------
  # データ取得
  #
  # @param: div ("A": ALLデータ, "D": DAILYデータ)
  # ------------------------------------
  def get_data(div)
    file = div == "A" ? FILE_A : FILE_D
    File.open(file, "r:utf-8") do |f|
      while line = f.gets
        line.chomp!
        m = line.scan(RE_0)[0]
        flag_pm, flag_dut, flag_nut = m[2], m[7], m[12]
        flag_pm.sub!(RE_2, "")
        flag_dut.sub!(RE_2, "")
        flag_nut.sub!(RE_2, "")
        break if div == "A" &&
                 flag_pm == "P" &&
                 flag_dut == "P" &&
                 flag_nut == "P"
        year, month, day = m[0].scan(RE_1).map(&:to_i)
        year = year > 72 ? year + 1900 : year + 2000
        date = "%04d-%02d-%02d" % [year, month, day]
        mjd = m[1].to_f
        # Polar Motion
        pm_x, pm_x_e, pm_y, pm_y_e = m[3, 4].map do |a|
          RE_2 =~ a ? nil : a.to_f
        end
        pm_x_f, pm_y_f = m[17, 2].map do |a|
          RE_2 =~ a ? nil : a.to_f
        end
        flag_pm = "F" if pm_x_f && pm_y_f
        pm_x, pm_x_e = pm_x_f, 0.0 if pm_x_f
        pm_y, pm_y_e = pm_y_f, 0.0 if pm_y_f
        # UT1 - UTC, LOD
        dut1, dut1_e, lod, lod_e = m[8, 4].map do |a|
          RE_2 =~ a ? nil : a.to_f
        end
        dut1_f = RE_2 =~ m[19] ? nil : m[19].to_f
        flag_dut, dut1, dut1_e = "F", dut1_f, 0.0 if dut1_f
        # Nutation
        nut_x, nut_x_e, nut_y, nut_y_e = m[13, 4].map do |a|
          RE_2 =~ a ? nil : a.to_f
        end
        nut_x_f, nut_y_f = m[20, 2].map do |a|
          RE_2 =~ a ? nil : a.to_f
        end
        flag_nut = "F" if nut_x_f && nut_y_f
        nut_x, nut_x_e = nut_x_f, 0.0 if nut_x_f
        nut_y, nut_y_e = nut_y_f, 0.0 if nut_y_f
        @data[mjd] = [
          date, flag_pm, pm_x, pm_x_e, pm_y, pm_y_e,
          flag_dut, dut1, dut1_e, lod, lod_e,
          flag_nut, nut_x, nut_x_e, nut_y, nut_y_e
        ]
      end
    end
  rescue => e
    raise
  end

  # ------------------------------------
  # CSV 保存
  # ------------------------------------
  def write_csv
    open(FILE_CSV, "w:utf-8") do |f|
      @data.each do |k, v|
        f.puts "#{v[0]},#{k}," + v[1..-1].map(&:to_s).join(",")
      end
    end
  rescue => e
    raise
  end
end

GetEopCsv.new.exec if __FILE__ == $0

3. Python スクリプトの作成

  • Shebang ストリング(1行目)では、フルパスでコマンド指定している。(当方の慣習
  • スクリプト内の flag_pm, flag_dut, flag_nut は極運動(Polar Motion)、DUT1(= UT1 - UTC)、章動(Nutation)の値の区分で、 F が「確定値」、I が「IERS 速報値」、P が「推定値」を意味する。

File: get_eop_csv.py

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
#! /usr/local/bin/python3.6
"""
IERS の Buttelin A テキストデータから EOP(Polar Motion etc.) CSV ファイルを生成
* 予め [こちら](ftp://ftp.iers.org/products/eop/rapid/) からダウンロードして
  おいたものを使用する。
  (IAU 2000A 章動理論によるデータ finals2000A.all", "finals2000A.daily")
* 1日のデータに速報値(区分"I")と確定値がある場合は、確定値を優先。
* 2ファイルで重複する日付のデータは "finals2000A.daily" を優先。
* 取得する項目:
      date, mjd, flag_pm, pm_x, pm_x_e, pm_y, pm_y_e,
      flag_dut, dut1, dut1_e, lod, lod_e,
      flag_nut, nut_x, nut_x_e, nut_y, nut_y_e

  date          name            version
  2018.06.25    mk-mode.com     1.00 新規作成

Copyright(C) 2018 mk-mode.com All Rights Reserved.
"""
import re
import requests
import sys
import traceback


class GetPolarMotionCsv:
    USAGE = "[USAGE] ./get_eop_csv.py"
    FILE_A = "./file/finals2000A.all"
    FILE_D = "./file/finals2000A.daily"
    FILE_CSV = "data/eop.csv"
    RE_0 = re.compile(
        r'^(.{6}) (.{8}) ([IP ]) (.{9})(.{9}) (.{9})(.{9})  '
        '([IP ])(.{10})(.{10}) (.{7})(.{7})  '
        '([IP ]) (.{9})(.{9}) (.{9})(.{9})'
        '(.{10})(.{10})(.{11})(.{10})(.{10})\s*$'
    )
    RE_1 = re.compile(r'^\s+$')

    def __init__(self):
        self.data = {}

    def exec(self):
        try:
            self.__get_data("A")  # 過去全データ取得
            self.__get_data("D")  # 日次データ取得
            self.__write_csv()    # CSV 保存
        except Exception as e:
            raise

    def __get_data(self, div):
        """ データ取得

        :param string div: "A": ALLデータ, "D": DAILYデータ
        """
        try:
            f_read = self.FILE_A if div == "A" else self.FILE_D
            with open(f_read) as f:
                for l in f.readlines():
                    m = re.findall(self.RE_0, l)[0]
                    flag_pm, flag_dut, flag_nut = m[2], m[7], m[12]
                    flag_pm  = re.sub(self.RE_1, "", flag_pm)
                    flag_dut = re.sub(self.RE_1, "", flag_dut)
                    flag_nut = re.sub(self.RE_1, "", flag_nut)
                    if div == "A" and \
                       flag_pm  == "P" and \
                       flag_dut == "P" and \
                       flag_nut == "P":
                        break
                    year  = int(m[0][0:2])
                    month = int(m[0][2:4])
                    day   = int(m[0][4:6])
                    year = year + 1900 if year > 72 else year + 2000
                    date = "{:04d}-{:02d}-{:02d}".format(year, month, day)
                    mjd = float(m[1])
                    # Polar Motion
                    pm_x, pm_x_e, pm_y, pm_y_e = map(
                        lambda x: None if re.match(self.RE_1, x) else float(x),
                        m[3:7]
                    )
                    pm_x_f, pm_y_f = map(
                        lambda x: None if re.match(self.RE_1, x)
                        else float(x), m[17:19]
                    )
                    if pm_x_f is not(None) and pm_y_f is not(None):
                        flag_pm = "F"
                    if pm_x_f is not(None):
                        pm_x, pm_x_e = pm_x_f, 0.0
                    if pm_y_f is not(None):
                        pm_y, pm_y_e = pm_y_f, 0.0
                    # UT1 - UTC, LOD
                    dut1, dut1_e, lod, lod_e = map(
                        lambda x: None if re.match(self.RE_1, x) else float(x),
                        m[8:12]
                    )
                    dut1_f = None if re.match(self.RE_1, m[19]) \
                             else float(m[19])
                    if dut1_f is not(None):
                        flag_dut, dut1, dut1_e = "F", dut1_f, 0.0
                    # Nutation
                    nut_x, nut_x_e, nut_y, nut_y_e = map(
                        lambda x: None if re.match(self.RE_1, x) else float(x),
                        m[13:17]
                    )
                    nut_x_f, nut_y_f = map(
                        lambda x: None if re.match(self.RE_1, x) else float(x),
                        m[20:22]
                    )
                    if nut_x_f is not(None) and nut_y_f is not(None):
                        flag_nut = "F"
                    if nut_x_f is not(None):
                        nut_x, nut_x_e = nut_x_f, 0.0
                    if nut_y_f is not(None):
                        nut_y, nut_y_e = nut_y_f, 0.0
                    self.data[mjd] = [
                        date, flag_pm, pm_x, pm_x_e, pm_y, pm_y_e,
                        flag_dut, dut1, dut1_e, lod, lod_e,
                        flag_nut, nut_x, nut_x_e, nut_y, nut_y_e
                    ]
        except Exception as e:
            raise

    def __write_csv(self):
        """ CSV 保存 """
        try:
            with open(self.FILE_CSV, "w") as f:
                for k, v in self.data.items():
                    l = "{},{},".format(v[0], k)
                    l += ",".join(map(
                        lambda x: "" if x is None else str(x), v[1:])
                    ) + "\n"
                    f.write(l)
        except Exception as e:
            raise


if __name__ == '__main__':
    try:
        obj = GetPolarMotionCsv()
        obj.exec()
    except Exception as e:
        traceback.print_exc()
        sys.exit(1)

4. スクリプトの実行

まず、実行権限を付与。(以下は Ruby の例。 Python 版は拡張子を py に)

$ chmod +x get_eop_csv.rb

また、作成された CSV データを保存するディレクトリ “data” を作成。

$ mkdir data

そして、実行。(以下は Ruby の例。 Python 版は拡張子を py に)

$ ./get_eop_csv.rb

5. 結果確認

“data” ディレクトリ内に “eop.csv” が作成されるので、内容を確認してみる。(Ruby 版も Python 版も同じ)

File: data/eop.csv

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
1973-01-02,41684.0,F,0.143,0.0,0.137,0.0,F,0.8075,0.0,0.0,0.1916,F,-18.637,0.0,-3.667,0.0
1973-01-03,41685.0,F,0.141,0.0,0.134,0.0,F,0.8044,0.0,3.5563,0.1916,F,-18.636,0.0,-3.571,0.0
1973-01-04,41686.0,F,0.139,0.0,0.131,0.0,F,0.8012,0.0,2.6599,0.1916,F,-18.669,0.0,-3.621,0.0
1973-01-05,41687.0,F,0.137,0.0,0.128,0.0,F,0.7981,0.0,3.0344,0.1916,F,-18.751,0.0,-3.769,0.0
1973-01-06,41688.0,F,0.136,0.0,0.126,0.0,F,0.7949,0.0,3.1276,0.1916,F,-18.868,0.0,-3.868,0.0
      :
===< 中略 >===
      :
2018-05-02,58240.0,I,0.069574,2.1e-05,0.438713,2.4e-05,I,0.1006235,4.0e-06,0.9641,0.0053,I,-0.114,0.083,-0.081,0.129
2018-05-03,58241.0,I,0.07046,2.0e-05,0.439352,2.3e-05,I,0.099735,4.6e-06,0.8149,0.0031,I,-0.103,0.083,-0.103,0.129
2018-05-04,58242.0,I,0.071459,2.0e-05,0.439812,2.2e-05,I,0.0989776,4.7e-06,0.7138,0.0034,I,-0.089,0.083,-0.122,0.129
2018-05-05,58243.0,I,0.072329,2.0e-05,0.44036,2.3e-05,I,0.0982831,4.9e-06,0.6855,0.0034,I,-0.073,0.083,-0.139,0.129
2018-05-06,58244.0,I,0.073263,1.6e-05,0.441099,2.2e-05,I,0.097605,4.9e-06,0.6619,0.0035,I,-0.058,0.083,-0.152,0.129
      :
===< 中略 >===
      :
2018-09-17,58378.0,P,0.192851,0.007663,0.340882,0.010159,P,0.0618138,0.0082248,,,,,,,
2018-09-18,58379.0,P,0.192317,0.007713,0.339635,0.010243,P,0.0615934,0.0083005,,,,,,,
2018-09-19,58380.0,P,0.191759,0.007763,0.338396,0.010327,P,0.0614009,0.0083759,,,,,,,
2018-09-20,58381.0,P,0.191177,0.007813,0.337164,0.01041,P,0.0611866,0.0084511,,,,,,,
2018-09-21,58382.0,P,0.190572,0.007862,0.335942,0.010494,P,0.0609036,0.0085261,,,,,,,

当方、人工衛星の正確な軌道計算に利用しています。

以上。





 

Sponsored Link

 

Comments