Question

我正在尝试在两个具有星号（Tabla）的表和另一个具有望远镜视场的表之间进行坐标交叉匹配，并返回与恒星的坐标匹配的行。星星必须位于视场的x＆y（RA，DEC）加上差值（dx，dy，在我的情况下为df）的位置。

一切似乎都是正确的，直到使用交叉匹配的星的行创建列表交叉，但只包含它们的索引。因此，我使用print（crossmatch）来查看星星是否正确，以及它们是否正确，所以我的问题必须在附加部分中。

import matplotlib.pyplot as plt
import pandas as pd
import sys

#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Tabla = pd.read_csv('Tabla_Crossmatch_01.csv', header= 0)

RA =  Tabla['_RAJ2000']
DEC =  Tabla['_DEJ2000']
Name = Tabla['WD']

Campos = pd.read_csv('Fields.csv', header= 0)

RA_fields =  Campos['RA:(decimal)']
DEC_fields =  Campos['Dec:(decimal)']
Campo = Campos['Field']

f_view = 1.7
df = f_view/2

cross = []

cont = 1
for i,ii in zip (Tabla['_RAJ2000'],Tabla['_DEJ2000']):
    for j,jj in zip (RA_fields,DEC_fields):        
    if j-df <= i <= j+df and jj-df <= ii <= jj+df:
        crossmatch = Tabla.loc[(Tabla['_RAJ2000'] == i) & (Tabla['_DEJ2000'] == ii)]
        cross.append(crossmatch)
        print(crossmatch)

结果：

_RAJ2000   _DEJ2000                      WD  ...  S/N     SpClass  Sp
35  119.51847  20.999396  WDJ075804.43+205957.86  ...  0.0  Unreliable  Sp

[1 rows x 19 columns]
 _RAJ2000  _DEJ2000                      WD  ...        S/N  SpClass  Sp
62  155.27775  8.456804  WDJ102106.71+082724.97  ...  42.465915       DB  Sp

[1 rows x 19 columns]
 _RAJ2000  _DEJ2000                      WD  ...  S/N     SpClass  Sp
63  155.27791  8.456894  WDJ102106.71+082724.97  ...  0.0  Unreliable  Sp

[1 rows x 19 columns]
 _RAJ2000  _DEJ2000                      WD  ...  S/N     SpClass  Sp
82  175.41995  0.146517  WDJ114140.79+000847.49  ...  0.0  Unreliable  Sp

[1 rows x 19 columns]
 _RAJ2000  _DEJ2000                      WD  ...  S/N     SpClass  Sp
87  179.54766 -0.046197  WDJ115811.43-000246.23  ...  0.0  Unreliable  Sp

[1 rows x 19 columns]
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

大熊猫追加生成索引数据行

0 个答案: