IntegerFieldInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)IntegerFieldInfo defines output for any integer type field.
Attributes | |
|---|---|
| Name | Description |
average |
float
The average of non-null values of integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows. |
standard_deviation |
float
The standard deviation of non-null of integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows. |
min_ |
int
The minimum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows. |
quartiles |
MutableSequence[int]
A quartile divide the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3. |
max_ |
int
The maximum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows. |