## Tools.pbs.Qstat


Usage

``` python
Tools.pbs.Qstat(
    job_id,
    wait_time=120,
    **kwargs,
)
```


## Methods

| Name | Description |
|----|----|
| [countdown()](#countdown) | This method takes a wait time and preforms a countdown in the terminal |
| [plot_data()](#plot_data) | This method plots qstat data over time. Three different interactive plotly |
| [watch()](#watch) | This watch method is directly used by the end user to collect data on the |

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#### countdown()


This method takes a wait time and preforms a countdown in the terminal


Usage

``` python
countdown(wait_time=None)
```


during the wait period.


##### Parameters


`wait_time: int. = None`  
The time in seconds to wait.


------------------------------------------------------------------------


#### plot_data()


This method plots qstat data over time. Three different interactive plotly


Usage

``` python
plot_data(data_file)
```


line graphs are created. One with mem and vmem, one with cpu percentage, and one with cpu time.


##### Parameters


`data_file: str.`  
A csv file that contains qstat data.


------------------------------------------------------------------------


#### watch()


This watch method is directly used by the end user to collect data on the


Usage

``` python
watch(count=None, max_count=None)
```


target job over time.


##### Parameters


`count: int. = None`  
The count of qstat data points collected.

`python_datetime: datetime.`  
A date time that will be added to the qstat data.

`max_count: int. = None`  
The maximum number of times that Qstat will collect data points on the target job.