Available with Spatial Analyst license.

## Summary

Calculates a per-cell statistic from multiple rasters.

The available statistics are Majority, Maximum, Mean, Median, Minimum, Minority, Range, Standard deviation, Sum, and Variety.

## Illustration

## Usage

The order of the input rasters is irrelevant for this tool.

When a multiband raster is specified as one of the Input rasters or constant values (in_rasters_or_constants in Python), all the bands will be used.

To process a selection of bands from a multiband raster, you can first create a new raster dataset composed of those particular bands with the Composite Bands tool, and use the result in the list of the Input rasters or constant values (in_rasters_or_constants in Python).

For statistic types Maximum, Minimum, Mean, Median, Majority, Minority and Sum, if a single raster is used as the input, the output cell values will be the same as the input cell values. For Range and STD the output cell values will all be 0, and for Variety, all 1.

See Analysis environments and Spatial Analyst for additional details on the geoprocessing environments that apply to this tool.

## Syntax

CellStatistics(in_rasters_or_constants, {statistics_type}, {ignore_nodata})

Parameter | Explanation | Data Type |

in_rasters_or_constants [in_raster_or_constant,...] | A list of input rasters for which a statistic will be calculated for each cell within the Analysis window. A number can be used as an input; however, the cell size and extent must first be set in the environment. | Raster Layer; Constant |

statistics_type (Optional) | Statistic type to be calculated. - MEAN —Calculates the mean (average) of the inputs.
- MAJORITY —Determines the majority (value that occurs most often) of the inputs.
- MAXIMUM —Determines the maximum (largest value) of the inputs.
- MEDIAN —Calculates the median of the inputs.
- MINIMUM —Determines the minimum (smallest value) of the inputs.
- MINORITY —Determines the minority (value that occurs least often) of the inputs.
- RANGE —Calculates the range (difference between largest and smallest value) of the inputs.
- STD —Calculates the standard deviation of the inputs.
- SUM —Calculates the sum (total of all values) of the inputs.
- VARIETY —Calculates the variety (number of unique values) of the inputs.
The default statistic type is Mean. | String |

ignore_nodata (Optional) | Denotes whether NoData values are ignored by the statistic calculation. - DATA —At the processing cell location, if any of the input rasters has NoData, then that NoData value will be ignored. The statistics will be computed by only considering the cells with valid data. This is the default.
- NODATA —If the processing cell location for any of the input rasters is NoData, then the output for that cell will be NoData.
| Boolean |

### Return Value

Name | Explanation | Data Type |

out_raster | The output raster. For each cell, the value is determined by applying the specified statistic type to the input rasters at that location. | Raster |

## Code sample

##### CellStatistics example 1 (Python window)

This example calculates the standard deviation per cell on several input Grid rasters and outputs the result as an IMG raster.

```
import arcpy
from arcpy import env
from arcpy.sa import *
env.workspace = "C:/sapyexamples/data"
outCellStats = CellStatistics(["degs", "negs", "cost"], "STD", "DATA")
outCellStats.save("C:/sapyexamples/output/outcellstats.img")
```

##### CellStatistics example 2 (stand-alone script)

This example calculates the standard deviation per cell on several input Grid rasters and outputs the result as a Grid raster.

```
# Name: CellStatistics_Ex_02.py
# Description: Calculates a per-cell statistic from multiple rasters
# Requirements: Spatial Analyst Extension
# Import system modules
import arcpy
from arcpy import env
from arcpy.sa import *
# Set environment settings
env.workspace = "C:/sapyexamples/data"
# Set local variables
inRaster01 = "degs"
inRaster02 = "negs"
inRaster03 = "cost"
# Check out the ArcGIS Spatial Analyst extension license
arcpy.CheckOutExtension("Spatial")
# Execute CellStatistics
outCellStatistics = CellStatistics([inRaster01, inRaster02, inRaster03], "RANGE", "NODATA")
# Save the output
outCellStatistics.save("C:/sapyexamples/output/cellstats")
```

## Environments

## Licensing information

- Basic: Requires Spatial Analyst
- Standard: Requires Spatial Analyst
- Advanced: Requires Spatial Analyst