我正在尝试从下面的Fortran代码中读取二进制文件输出,但结果与输出文件的结果不同。
Fortran 77代码:
program test
implicit none
integer i,j,k,l
real*4 pcp(2,3,4)
open(10, file='pcp.bin', form='unformatted')
l = 0
do i=1,2
do j=1,2
do k=1,2
print*,k+l*2
pcp(i,j,k)=k+l*2
l = l + 1
enddo
enddo
enddo
do k=1,4
write(10)pcp(:,:,k)
enddo
close(10)
stop
end
我正在尝试使用下面的Python代码:
from scipy.io import FortranFile
f = FortranFile('pcp.bin', 'r')
a = f.read_reals(dtype=float)
print(a)
答案 0 :(得分:2)
由于您要在顺序文件上撰写real*4
数据,只需尝试将dtype=float
替换为read_reals()中的dtype='float32'
(或dtype=np.float32
):
>>> from scipy.io import FortranFile
>>> f = FortranFile( 'pcp.bin', 'r' )
>>> print( f.read_reals( dtype='float32' ) )
[ 1. 9. 5. 13. 0. 0.]
>>> print( f.read_reals( dtype='float32' ) )
[ 4. 12. 8. 16. 0. 0.]
>>> print( f.read_reals( dtype='float32' ) )
[ 0. 0. 0. 0. 0. 0.]
>>> print( f.read_reals( dtype='float32' ) )
[ 0. 0. 0. 0. 0. 0.]
获得的数据对应于Fortran中的每个pcp(:,:,k)
,由
do k=1,4
print "(6f8.3)", pcp(:,:,k)
enddo
给出(pcp
初始化为零)
1.0 9.0 5.0 13.0 0.0 0.0
4.0 12.0 8.0 16.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0
但是因为>>> help( FortranFile )
说
Fortran中未格式化的顺序文件的示例将写为::
OPEN(1, FILE=myfilename, FORM='unformatted')
WRITE(1) myvariable
由于这是一种非标准的文件格式,其内容取决于 编译器和机器的字节顺序,建议谨慎。来自的文件 已知gfortran 4.8.0和x86_64上的gfortran 4.1.2可以正常工作。
考虑使用Fortran直接访问文件或来自较新Stream的文件 I / O,
numpy.fromfile
可以轻松阅读。
根据案例使用numpy.fromfile()
可能更简单(如StanleyR的回答所示)。
答案 1 :(得分:1)
使用nupy.fromfile(http://docs.scipy.org/doc/numpy/reference/generated/numpy.fromfile.html)
我猜你错过了fortran代码中的内容,写入二进制文件应用此代码:
program test
implicit none
integer i,j,k,l, reclen
real*4 pcp(2,3,4)
inquire(iolength=reclen)pcp(:,:,1)
open(10, file='pcp.bin', form='unformatted', access = 'direct', recl = reclen)
pcp = 0
l = 0
do i=1,2
do j=1,2
do k=1,2
print*,i,j,k,k+l*2
pcp(i,j,k)=k+l*2
l = l + 1
enddo
enddo
enddo
do k=1,4
write(10, rec=k)pcp(:,:,k)
enddo
close(10)
end
通过python读取文件:
import numpy as np
with open('pcp.bin','rb') as f:
for k in xrange(4):
data = np.fromfile(f, dtype=np.float32, count = 2*3)
print np.reshape(data,(2,3))
输出:
[[ 1. 9. 5.]
[ 13. 0. 0.]]
[[ 4. 12. 8.]
[ 16. 0. 0.]]
[[ 0. 0. 0.]
[ 0. 0. 0.]]
[[ 0. 0. 0.]
[ 0. 0. 0.]]
答案 2 :(得分:0)
最简单的方法是使用 data_py 包。要安装,请输入 pip install data-py
示例使用
from data_py import datafile
NoOfLines=0
lineNumber=2 # Line number to be read (Excluding lines starting with '#')
df1=datafile("C:/Folder/SubFolder/data-file-name.txt")
df1.separator="," # No need to specify if separator is space(" "). For 'tab' separated values use '\t'
NoOfLines=df1.lines # Total number of lines in the data file (Excluding lines starting with '#')
Col=["Null"]*5 # This will create 5 column variables with an intial string 'Null'.
# Number of column variables (here 5) should not be greater than number of columns in data file.
df1.read(Col,lineNumber) # Will read first five columns from the data file at the line number given, and stores in Col.
print(Col)