The **``statistics.pvariance()``** method in Python is used to return the population variance of a given data. 

This method is unlike the **``statistics.variance()``** method, which calculates the  variance of a sample of data. Instead, the ``statistics.pvariance()`` method calculates the variance of an entire population.

**Variance** is the sum of the squared distances of each term distributed from the mean of the data divided by the number of observations. It is given by:

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$\Large S^2=\frac{\sum(x_i-\bar{x})^2}{n-1}$

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* $S^{2}$ = Variance
* $x_i$ = The value of one observation
* $\bar{x}$ = The mean value of the data
* $n$ = The number of observations

#     
#  Syntax
```Python
statistics.pvariance(data, xbar)
```
##    
## Parameters

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#     
#  Return value
``statistics.pvariance()`` method returns a float value that represents the population variance of a given data.

##       
## Example
Let's use the ``statistics.pvariance()`` method to calculate the population variance for a given data.


import statistics

# creating a data set
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
# to obtain the variance
the_pvariance = statistics.pvariance(data)
print('The population variance is', the_pvariance)


#      
## Explanation
* **Line 1**: We import the ``statistics`` module.
* **Line 4**: We create a data set called ``data``.
* **Line 6**: We use the ``statistics.pvariance()`` method to obtain the population variance of the ``data`` and assign the value to another variable `` the_pvariance``.
* **Line 7**: We print ``the_pvariance``, which contains the population variance of the given data.


What is the statistics.pvariance() method in Python?

Calculates population variance in Python, using the statistics.pvariance() method. Returns a float value.

Parameter	Value
`data`	This is required. It is the data to be used. It can be a list, a sequence, or iterator
`xbar`	This is optional. It is the mean of the data provided. If the value is not provided Python calculates the mean of the data by default.