pyhdf读取和保存hdf文件

参考资料：

pyhdf的安装：https://fhs.github.io/pyhdf/install.html
pyhdf使用：https://fhs.github.io/pyhdf/modules/SD.html

hdf是遥感中常用的文件保存格式，下面我们来介绍一下如何用python读取和保存hdf格式的文件。 一、load pyhdf

# 三种加载方式import pyhdf.SD from pyhdf import SDfrom pyhdf.SD import *

二、保存数据

保存hdf文件主要可以分为创建hdf文件与配置文件属性、创建数据集与配置属性、数据集赋值、文件关闭等几个部分。

# import SD and numpy.from pyhdf.SD import *from numpy import *fileName = 'template.hdf'# 创建HDF文件hdfFile = SD(fileName ,SDC.WRITE|SDC.CREATE)# Assign a few attributes at the file levelhdfFile.author = 'It is me...'hdfFile.priority = 2# Create a dataset named 'd1' to hold a 3x3 float array.d1 = hdfFile.create('d1', SDC.FLOAT32, (3,3))# Set some attributes on 'd1'd1.description = 'Sample 3x3 float array'd1.units = 'celsius'# Name 'd1' dimensions and assign them attributes.dim1 = d1.dim(0)dim2 = d1.dim(1)dim1.setname('width')dim2.setname('height')dim1.units = 'm'dim2.units = 'cm'# Assign values to 'd1'd1[0] = (14.5, 12.8, 13.0) # row 1d1[1:] = ((-1.3, 0.5, 4.8), # row 2 and (3.1, 0.0, 13.8)) # row 3 # Close datasetd1.endaccess()# Close filehdfFile.end()

三、读取hdf

获取文件(file)和数据集(dataset)的内容和属性信息

# import SD and numpy.from pyhdf.SD import *from numpy import *fileName = 'template.hdf'# Open file in read-only mode (default)hdfFile = SD(fileName)# Display attributes.print "file:", fileNameprint "author:", hdfFile.authorprint "priority:", hdfFile.priority# Open dataset 'd1'd1 = hdfFile.select('d1')# Display dataset attributes.print "dataset:", 'd1'print "description:",d1.descriptionprint "units:", d1.units# Display dimensions info.dim1 = d1.dim(0)dim2 = d1.dim(1)print "dimensions:"print "dim1: name=", dim1.info()[0],print "length=", dim1.length(),print "units=", dim1.unitsprint "dim2: name=", dim2.info()[0],print "length=", dim2.length(),print "units=", dim2.units# Show dataset valuesprint d1[:]# Close datasetd1.endaccess()# Close filehdfFile.end()

pyhdf的数据格式

CHAR and CHAR8 (equivalent): an 8-bit character.UCHAR, UCHAR8 and UINT8 (equivalent): unsigned 8-bit values (0 to 255)INT8: signed 8-bit values (-128 to 127)INT16: signed 16-bit valuesUINT16: unsigned 16 bit valuesINT32: signed 32 bit valuesUINT32: unsigned 32 bit valuesFLOAT32: 32 bit floating point values (C floats)FLOAT64: 64 bit floating point values (C doubles)