Parameter (arcpy)
Zusammenfassung
Every tool parameter has an associated parameter object with properties and methods that are useful in tool validation. Parameters are contained in a Python list.
Syntax
Parameter | Erläuterung | Datentyp |
name | The parameter name. (Der Standardwert ist None) | String |
displayName | The parameter label as shown on the tool's dialog box. (Der Standardwert ist None) | String |
direction | Input/Output direction of the parameter. (Der Standardwert ist None) | String |
datatype | The data type of the parameter. For a list of parameter data types, see Geoprocessing data types. (Der Standardwert ist None) | String |
parameterType | Can be Required, Optional, or Derived. Derived means that the user of your tool does not enter a value for the parameter. Derived types are always output parameters. (Der Standardwert ist None) | String |
enabled | False if the parameter is unavailable. (Der Standardwert ist None) | Boolean |
category | The category of the parameter. (Der Standardwert ist None) | String |
symbology | The path to a layer file (.lyr) used for drawing the output. (Der Standardwert ist None) | String |
multiValue | True if the parameter is a multivalue parameter. (Der Standardwert ist None) | Boolean |
Eigenschaften
Eigenschaft | Erläuterung | Datentyp |
altered (Schreibgeschützt) |
True if the user has modified the value. | Boolean |
category (Lesen und schreiben) |
The category of the parameter. | String |
columns (Lesen und schreiben) | The column data types and names of a value table parameter. Set using a list of lists:
| String |
datatype (Lesen und schreiben) |
The data type of the parameter. For a list of parameter data types, see Geoprocessing data types. | String |
defaultEnvironmentName (Lesen und schreiben) |
The geoprocessing environment setting used to set the parameter's default value. | String |
direction (Lesen und schreiben) |
Input/Output direction of the parameter. | String |
displayName (Lesen und schreiben) |
The parameter label as shown on the tool's dialog box. | String |
enabled (Lesen und schreiben) |
False if the parameter is unavailable. | Boolean |
filter (Schreibgeschützt) |
The filter to apply to values in the parameter. | Filter |
hasBeenValidated (Schreibgeschützt) |
True if the internal validation routine has checked the parameter. | Boolean |
message (Schreibgeschützt) | The message to be displayed to the user. | String |
multiValue (Lesen und schreiben) | True if the parameter is a multivalue parameter. | Boolean |
name (Lesen und schreiben) |
The parameter name. | String |
parameterDependencies (Lesen und schreiben) |
A list of indexes of each dependent parameter. | Integer |
parameterType (Lesen und schreiben) | Can be Required, Optional, or Derived. Derived means that the user of your tool does not enter a value for the parameter. Derived types are always output parameters.
| String |
schema (Schreibgeschützt) |
The schema of the output dataset. | Schema |
symbology (Lesen und schreiben) | The path to a layer file (.lyr) used for drawing the output. | String |
value (Lesen und schreiben) |
The value of the parameter. | Object |
valueAsText (Schreibgeschützt) | The value of the parameter as a string. Hinweis: For Python toolboxes only. | String |
values (Lesen und schreiben) |
The values of the Value Table parameter. Set using a list of lists. | Variant |
Methodenübersicht
Methode | Erläuterung |
clearMessage () |
Clears out any message text and sets the status to informative (no error or warning). |
hasError () |
Returns true if the parameter contains an error. |
hasWarning () |
Returns True if the parameter contains a warning. |
isInputValueDerived () |
Returns True if the tool is being validated inside a Model and the input value is the output of another tool in the model. |
setErrorMessage (message) |
Marks the parameter as having an error with the supplied message. Tools do not execute if any of the parameters have an error. |
setIDMessage (message_type, message_ID, {add_argument1}, {add_argument2}) |
Allows you to set a system message. |
setWarningMessage (message) |
Marks the parameter as having a warning with the supplied message. Unlike errors, tools will execute with warning messages. |
Methoden
Datentyp | Erläuterung |
Boolean |
True if the parameter contains an error. |
Datentyp | Erläuterung |
Boolean |
True if the parameter contains a warning. |
Datentyp | Erläuterung |
Boolean |
True if the tool is being validated inside a Model and the input value is the output of another tool in the model. |
Parameter | Erläuterung | Datentyp |
message |
The string to be added as an error message to the geoprocessing tool messages. | String |
Parameter | Erläuterung | Datentyp |
message_type |
Defines whether the message will be an error or a warning.
| String |
message_ID |
The message ID allows you to reference existing system messages. | Integer |
add_argument1 |
Depending on which message ID is used, an argument may be necessary to complete the message. Common examples include dataset or field names. The datatype is variable depending on the message. | Object |
add_argument2 |
Depending on which message ID is used, an argument may be necessary to complete the message. Common examples include dataset or field names. The datatype is variable depending on the message. | Object |
Parameter | Erläuterung | Datentyp |
message |
The string to be added as a warning message to the geoprocessing tool messages. | String |
Codebeispiel
Enabling or disabling a parameter in a ToolValidator class.
def updateParameters(self):
# If the option to use a weights file is selected (the user chose
# "Get Spatial Weights From File", enable the parameter for specifying
# the file, otherwise disable it
#
if self.params[3].value == "Get Spatial Weights From File":
self.params[8].enabled = 1
else:
self.params[8].enabled = 0
Setting a default value for a parameter in a ToolValidator class.
def updateParameters(self):
# Set the default distance threshold to 1/100 of the larger of the width
# or height of the extent of the input features. Do not set if there is no
# input dataset yet, or the user has set a specific distance (Altered is true).
#
import string
if self.params[0].value:
if not self.params[6].altered:
extent = string.split(self.GP.Describe\
(self.params[0].value).extent, " ")
width = float(extent[2]) - float(extent[0])
height = float(extent[3]) - float(extent[1])
if width > height:
self.params[6].value = width / 100
else:
self.params[6].value = height / 100
return
Setting a custom error message for a parameter in a ToolValidator class.
def updateMessages(self):
self.params[6].clearMessage()
# Check to see if the threshold distance contains a value of zero and the user has
# specified a fixed distance band.
#
if self.params[6].value <= 0:
if self.params[3].value == "Fixed Distance Band":
self.params[6].setErrorMessage("Zero or a negative distance is invalid \
when using a fixed distance band. Please \
use a positive value greater than zero." )
elif self.params[6].value < 0:
self.params[6].setErrorMessage("A positive distance value is required \
when using a fixed distance band. \
Please specify a distance.")
return