Statistics not displaying properly

Hello there, everyone,

I'm trying to use the docker python SDK in order to fetch data from the statistics of certain containers I have previously deployed. The thing is, every time I try to fetch said statistics, I always get the same values. The code I have been working is the following:

import docker    
client =docker.from_env()    
stat_stream = client.containers.get(container_id="8201d665ecd1d50240266b85bf8a6853503cda5442c3b9de437cc99ff23fee3a").stats(stream=True)
for line in stat_stream:
   print(line.strip().decode(),"\n")

And for the previously shown code, I get the following dictionary printed constantly:

{
"read":"0001-01-01T00:00:00Z",
"preread":"0001-01-01T00:00:00Z",
"pids_stats":{},
"blkio_stats":{
   "io_service_bytes_recursive":null,
   "io_serviced_recursive":null,
   "io_queue_recursive":null,
   "io_service_time_recursive":null,
   "io_wait_time_recursive":null,
   "io_merged_recursive":null,
   "io_time_recursive":null,
   "sectors_recursive":null
},
"num_procs":0,
"storage_stats":{},
"cpu_stats":{
   "cpu_usage":{
      "total_usage":0,
      "usage_in_kernelmode":0,
      "usage_in_usermode":0
   },
   "throttling_data":{
      "periods":0,
      "throttled_periods":0,
      "throttled_time":0
   }
},
"precpu_stats":{
   "cpu_usage":{
      "total_usage":0,
      "usage_in_kernelmode":0,
      "usage_in_usermode":0
   },
   "throttling_data":{
      "periods":0,
      "throttled_periods":0,
      "throttled_time":0
   }
},
"memory_stats":{},
"name":"/lab-sniffer-1",
"id":"8201d665ecd1d50240266b85bf8a6853503cda5442c3b9de437cc99ff23fee3a"
}

NOTE: I've added some line breaks in order to make it more easily readable

I was wondering if anybody knew where the problem may be, there must be something I'm doing wrong but can't figure out what it is.

Start by reproducing the report with client.containers.get(...).stats(stream=True) and inspect the repeated statistics dictionary. Check whether the behavior is specific to the Python SDK or the Docker Engine API, then identify the relevant entry point and an expected result before determining what would count as fixed.