Synthèse
The network Common Data Form (netCDF) is a binary, self-describing, machine-independent file format for storing scientific data.
Syntaxe
NetCDFFileProperties (netcdffile)
Paramètre | Explication | Type de données |
netcdffile | The input netCDF file. | String |
Vue d’ensemble des méthodes
Méthode | Explication |
getAttributeNames ({variable_name}) | Returns the attribute names of a variable in a netCDF file. |
getAttributeValue (variable_name, attribute_name) | Returns the value of an attribute. |
getDimensionIndex (dimension_name, value) | Returns the dimension index. |
getDimensionSize (dimension_name) | Returns the dimension size. |
getDimensionValue (dimension_name, index) | Returns the dimension value. |
getDimensions () | Returns the dimensions. |
getDimensionsByVariable (variable_name) | Returns the dimensions by variable. |
getFieldType (name) | Returns the field type of a variable or dimension. |
getSpatialReference (variable_name, x_dimension, y_dimension) | Returns the spatial reference of a variable. |
getVariables () | Returns the variables. |
getVariablesByDimension (dimension_name) | Returns the variables by dimension. |
Méthodes
getAttributeNames ({variable_name})
Paramètre | Explication | Type de données |
variable_name [variable_name,...] | A variable name of the netCDF file. | String |
Type de données | Explication |
String | The attribute names of the variable. |
getAttributeValue (variable_name, attribute_name)
Paramètre | Explication | Type de données |
variable_name | A variable name of the netCDF file. | String |
attribute_name | An attribute name of the netCDF file. | String |
Type de données | Explication |
Object | The value of the attribute. The type of returned value depends on the dimension type. |
getDimensionIndex (dimension_name, value)
Paramètre | Explication | Type de données |
dimension_name | A dimension name of the netCDF file. | String |
value | The dimension value. | Integer |
Type de données | Explication |
Integer | The dimension index. |
getDimensionSize (dimension_name)
Paramètre | Explication | Type de données |
dimension_name | A dimension name of the netCDF file. | String |
Type de données | Explication |
Integer | The dimension size. |
getDimensionValue (dimension_name, index)
Paramètre | Explication | Type de données |
dimension_name | A dimension name of the netCDF file. | String |
index | The index position. | Integer |
Type de données | Explication |
Object | The dimension value. The type of returned value depends on the dimension type. |
getDimensions ()
Type de données | Explication |
String | A list of dimensions. |
getDimensionsByVariable (variable_name)
Paramètre | Explication | Type de données |
variable_name | A variable name of the netCDF file. | String |
Type de données | Explication |
String | The dimensions by variable. |
getFieldType (name)
Paramètre | Explication | Type de données |
name | A variable or dimension name of the netCDF file. | String |
Type de données | Explication |
String | The field type. |
getSpatialReference (variable_name, x_dimension, y_dimension)
Paramètre | Explication | Type de données |
variable_name | A variable name of the netCDF file. | String |
x_dimension | The x-dimension. | Integer |
y_dimension | The y-dimension. | Integer |
Type de données | Explication |
SpatialReference | The spatial reference of a variable. |
getVariables ()
Type de données | Explication |
String | A list of variables. |
getVariablesByDimension (dimension_name)
Paramètre | Explication | Type de données |
dimension_name | A variable name of the netCDF file. | String |
Type de données | Explication |
String | The list of variables by dimension. |
Exemple de code
Display properties of netCDF file.
import arcpy
in_netcdf = "c:/netCDF/crwr.nc"
nc_fp = arcpy.NetCDFFileProperties(in_netcdf)
# Get Variables
for nc_var in nc_fp.getVariables():
print("Variable: {}".format(nc_var))
print("\tVariable type: {}".format(nc_fp.getFieldType(nc_var)))
# Get dimensions by variable
for nc_dim_by_var in nc_fp.getDimensionsByVariable(nc_var):
print("Dimension: {}".format(nc_dim_by_var))
print(nc_fp.getAttributeValue(nc_var, "units"))
# Get Variable Attributes
for nc_va_name in nc_fp.getAttributeNames(nc_var):
print("Attribute Name: {}".format(nc_va_name))
# Get Dimensions
for nc_dim in nc_fp.getDimensions():
print("Dimension: {}".format(nc_dim))
print("\tDimension size: {}".format(nc_fp.getDimensionSize(nc_dim)))
print("\tDimension type: {}".format(nc_fp.getFieldType(nc_dim)))
for i in range(0, nc_fp.getDimensionSize(nc_dim)):
nc_dim_value = nc_fp.getDimensionValue(nc_dim, i)
print("\tDimension value: {}".format(nc_dim_value))
print("\tDimension index: {}".format(
nc_fp.getDimensionIndex(nc_dim, nc_dim_value)))
# Get Variable by dimension
for nc_vars_by_dim in nc_fp.getVariablesByDimension(nc_dim):
print("\tVariable by dimension: {}".format(nc_vars_by_dim))
# Get Global Attribues
for nc_att_name in nc_fp.getAttributeNames(""):
print("Attribute Name: {}".format(nc_att_name))
print(nc_fp.getAttributeValue("", nc_att_name))
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