title: how to feed data to Elasticseach as Integer using Python?
body: <p>i am using this python script to feed my data to elasticsearch 6.0. How can i store the variable <code>Value</code> with type float in Elasticsearch?
  I can't use the metric options for the visualization in Kibana, because all the data is stored automatically as string  </p>
  
  <pre><code>from elasticsearch import Elasticsearch
  
  Device=""
  Value=""
  for key, value in row.items():  
      Device = key
      Value = value
      print("Dev",Device,  "Val:", Value)                     
      doc = {'Device':Device, 'Measure':Value ,  'Sourcefile':filename}
      print('   doc:    ', doc)
      es.index(index=name, doc_type='trends', body=doc)
  </code></pre>
  
  <p>Thanks</p>
  
  <p>EDIT:</p>
  
  <p>After the advice of @Saul, i could fix this problem with the following code:</p>
  
  <pre><code>import os,csv
  import time
  from elasticsearch import Elasticsearch
  #import pandas as pd
  import requests
  
  Datum = time.strftime("%Y-%m-%d_")
  path = '/home/pi/Desktop/Data'
  
  
  os.chdir(path)
  name = 'test'
  es = Elasticsearch() 
  
      #'Time': time ,
  #url = 'http://localhost:9200/index_name?pretty'
  doc = {
    "mappings": {
      "doc": { 
        "properties": { 
          "device":    { "type": "text"  }, 
          "measure":     { "type": "text"  }, 
          "age":      { "type": "integer" },  
          "created":  {
            "type":   "date", 
            "format": "strict_date_optional_time||epoch_millis"
          }
        }
      }
    }
  }
  #headers = {'Content-type': 'application/json', 'Accept': 'text/plain'}
  #r = requests.post(url, data=json.dumps(data), headers=headers)
  r= es.index(index=name, doc_type='trends', body=doc)
  
  print(r)
  </code></pre>