小狗 0.1.8

创建NetCDF文件的DSL。以下是一个简单示例

from pup import *

class Test(NetCDF):
    # NC_GLOBAL attributes go here
    history = 'Created for a test'

    # dimensions need to be set explicitly only when they
    # have no variable associated with them
    dim0 = Dimension(2)

    # variables that don't specify dimensions are assumed to
    # be their own dimension
    time = Variable(range(10), record=True, units='days since 2008-01-01')

    # now a variable with dimensions (time,)
    temperature = Variable(range(10), (time,), units='deg C')

Test.save('simple.nc')

这将生成以下NetCDF文件

netcdf simple {
dimensions:
    dim0 = 2 ;
    time = UNLIMITED ; // (10 currently)
variables:
    int time(time) ;
        time:units = "days since 2008-01-01" ;
    int temperature(time) ;
        temperature:units = "deg C" ;

// global attributes:
        :history = "Created for a test" ;
data:

 time = 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ;

 temperature = 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ;
}

与使用常用NetCDF库执行相同操作的代码进行比较

f = netcdf_file("simple.nc", "w")

f.history = "Created for a test"

f.createDimension("dim0", 2)

f.createDimension("time", None)
time = f.createVariable("time", "i", ("time",))
time.units = "days since 2008-01-01"
time[:] = range(10)

temperature = f.createVariable("temperature", "i", ("time",))
temperature.units = "deg C"
temperature[:] = range(10)

默认情况下，它使用pupynere来创建文件，但可以覆盖；例如，我们可以使用netCDF4模块，这允许我们指定组

from netCDF4 import Dataset

class Test(NetCDF):
    loader = Dataset
    ...

    foo = Group(
        dim = Dimension(10),
        var = Variable(range(10)),
        ...
    )
Test.save('simple.nc', format='NETCDF4')

变更日志

0.1.8:

确保首先创建记录维度。

0.1.7:

将字符串转换为字符数组。

0.1.6:

修复维度名称中的错误。

0.1.5:

添加了对使用netcdf4时组的支持。

0.1.4:

添加了对掩码数组的支持。

0.1.3:

在save()中将关键字参数传递给加载器。

0.1.2:

改进了可选加载器的检测。

0.1.1:

添加了pupynere依赖。

0.1:

初始发布。