fortran读取.csv文件

Question

因为想做一些关于海冰的研究，所以下载了数据，数据格式为.HDF格式，目前已经可以读取这些数据并且能够输出在一个.csv文件中，想用fortran对这些数据进行一下处理，但是不知道怎么读这种形式的文件。
HDF文件是通过python读取的。

Answer 1

既然可用python读取HDF，那就用python把它处理后生成标准的csv【即单元格中保存单个数据】,不要中间走弯路，你图中的csv每单元格中是列表格式，用fortran处理起来估计麻烦些

Answer 2

我不太擅长python 上边是我的代码，怎么修改一下可以实现单元格中保存单个数据呢？

Answer 3

from pyhdf.SD import SD, SDC
from pyhdf.HDF import HDF
from pyhdf.VS import VS
 
import numpy as np
import pandas as pd
 
# Change this to input full path of input file
 
fname = '/Users/wudiran/desktop/2006335045240_03158_CS_CRYOSPHERE-AUX_GRANULE_P_R05_E02_F00.hdf'
 
# Read 3D data
 
f = SD(fname, SDC.READ)
sds_obj = f.select('Age')
age = sds_obj.get()
sds_obj = f.select('Extent')
extent = sds_obj.get()
sds_obj = f.select('NISE_latitude')
NISE_latitude = sds_obj.get()
sds_obj = f.select('NISE_longitude')
NISE_longitude = sds_obj.get()
sds_obj = f.select('NISE_pixel_index_x')
NISE_pixel_index_x = sds_obj.get()
sds_obj = f.select('NISE_pixel_index_y')
NISE_pixel_index_y = sds_obj.get()
f.end()
#-----------------------------------------------------
#create dataframe
df = pd.DataFrame()
#age_list = list(age)
extent_list = list(extent)
nise_latitude_list = list(NISE_latitude)
nise_longitude_list = list(NISE_longitude)
 
 
df['nise_latitude_list'] = nise_latitude_list
df['nise_longitude_list'] = nise_longitude_list
df['extent'] = extent_list
#print(np.mean(df['nise_latitude_list'][0]))   average
#print(np.mean(df['nise_longitude_list'][0]))  average
 
print(df)
df.to_csv('/Users/wudiran/desktop/climate_data.csv')
#-----------------------------------------------------
 
# Read 2D data
 
f = HDF(fname)
vs = f.vstart()
 
profile_time = []
vd = vs.attach('Profile_time')
for rec in vd[:]:
    profile_time.append(rec[0])
profile_time = np.array(profile_time)
 
# Read 1D data
 
vd = vs.attach('UTC_start')
UTC_start = vd[0][0]
vd = vs.attach('TAI_start')
TAI_start = vd[0][0]
 
vs.end()
#f.close()


```python