## Summary

Calculates statistics for a raster dataset or a mosaic dataset.

Statistics are required for your raster and mosaic datasets to perform certain tasks, such as applying a contrast stretch or classifying your data.

## Usage

A skip factor controls the portion of the raster that is used when calculating the statistics. The input value indicates the horizontal or vertical skip factor, where a value of 1 will use each pixel and a value of 2 will use every second pixel. The skip factor can only range from 1 to the number of columns/rows in the raster.

The skip factors for raster datasets stored in a file geodatabase or an enterprise geodatabase are quite different. First, if the x and y skip factors are different, the smaller skip factor will be used for both the x and y skip factors. Second, the skip factor is related to the pyramid level that most closely fits the skip factor chosen. If the skip factor value is not equal to the number of pixels in a pyramid (for example, if the skip factor is 5 and the closest pyramid level is 4 x 4 pixels, which is level 2), the software will round down to the next pyramid level (in this case, 2) and use that value as the skip factor.

A skip factor is not used for all raster formats. The raster formats that will calculate statistics and take advantage of the skip factor include TIFF, IMG, NITF, DTED, RAW, ADRG, CIB, CADRG, DIGEST, GIS, LAN, CIT, COT, ERMapper, ENVI DAT, BIL, BIP, BSQ, and geodatabase.

When using this tool to calculate statistics on a mosaic dataset, the statistics are calculated for the top-level mosaicked image, not for every raster contained in the mosaic dataset.

Specifying a skip factor for a mosaic dataset is highly recommended as these datasets tend to be very large.

The Ignore Values option allows you to exclude a specific value from the calculation of statistics. You may want to ignore a value if it is a NoData value or if it will skew your calculation.

Calculating statistics on the Esri Grid and the RADARSAT2 formats always uses a skip factor of 1.

When using this tool to calculate statistics on a multidimensional mosaic dataset or a multidimensional raster, the statistics are calculated for each variable within the dataset.

## Syntax

arcpy.management.CalculateStatistics(in_raster_dataset, {x_skip_factor}, {y_skip_factor}, {ignore_values}, {skip_existing}, {area_of_interest})

Parameter | Explanation | Data Type |

in_raster_dataset | The input raster dataset or mosaic dataset. | Mosaic Dataset; Mosaic Layer; Raster Dataset |

x_skip_factor (Optional) | The number of horizontal pixels between samples. A skip factor controls the portion of the raster that is used when calculating the statistics. The input value indicates the horizontal or vertical skip factor, where a value of 1 will use each pixel and a value of 2 will use every second pixel. The skip factor can only range from 1 to the number of columns/rows in the raster. The value must be greater than zero and less than or equal to the number of columns in the raster. The default is 1 or the last skip factor used. The skip factors for raster datasets stored in a file geodatabase or an enterprise geodatabase are different. First, if the x and y skip factors are different, the smaller skip factor will be used for both the x and y skip factors. Second, the skip factor is related to the pyramid level that most closely fits the skip factor chosen. If the skip factor value is not equal to the number of pixels in a pyramid layer, the number is rounded down to the next pyramid level, and those statistics are used. | Long |

y_skip_factor (Optional) | The number of vertical pixels between samples. A skip factor controls the portion of the raster that is used when calculating the statistics. The input value indicates the horizontal or vertical skip factor, where a value of 1 will use each pixel and a value of 2 will use every second pixel. The skip factor can only range from 1 to the number of columns/rows in the raster. The value must be greater than zero and less than or equal to the number of rows in the raster. The default is 1 or the last y skip factor used. The skip factors for raster datasets stored in a file geodatabase or an enterprise geodatabase are different. First, if the x and y skip factors are different, the smaller skip factor will be used for both the x and y skip factors. Second, the skip factor is related to the pyramid level that most closely fits the skip factor chosen. If the skip factor value is not equal to the number of pixels in a pyramid layer, the number is rounded down to the next pyramid level, and those statistics are used. | Long |

ignore_values [ignore_value,...] (Optional) | The pixel values that are not to be included in the statistics calculation. The default is no value or the last ignore value used. | Long |

skip_existing (Optional) | Specify whether to calculate statistics only where they are missing or regenerate them even if they exist. - OVERWRITE —Statistics will be calculated even if they already exist; therefore, existing statistics will be overwritten. This is the default.
- SKIP_EXISTING —Statistics will only be calculated if they do not already exist.
| Boolean |

area_of_interest (Optional) | The feature class that represents the area in the dataset from where you want the statistics to be calculated, so they are not generated from the entire dataset. | Feature Set |

#### Derived Output

Name | Explanation | Data Type |

out_raster | The output raster dataset. | Raster Dataset |

## Code sample

This is a Python sample for CalculateStatistics.

```
import arcpy
arcpy.CalculateStatistics_management(
"C:/data/image.tif", "5", "5", "0;255",
"SKIP_EXISTING", "c:/data/aoi.shp")
```

This is a Python script sample for CalculateStatistics.

```
# Calculate Statistics for single raster dataset
import arcpy
arcpy.env.workspace = "C:/Workspace"
arcpy.CalculateStatistics_management("image.tif", "4", "6", "0;255;21")
```

## Environments

## Licensing information

- Basic: Yes
- Standard: Yes
- Advanced: Yes