title: Storing Dataframe in ignite cache using cache.put()
body: <p>I am using python to create a range query on spatial data and this is my first time dealing with ignite. I have stored my data in a python's Dataframe but I do not know how to put it in the cache. I am only posting here because the majority of search result I find regarding this topic are related to Spark with ignite and are a bit too advance and different from my issue. I only need to store the dataframe into the ignite cache I am not using Spark at all</p>
  <p>This is my code</p>
  <pre><code>import pandas as pd
  
  data = pd.read_csv('green.txt', sep=&quot;,&quot;, header=None)
  data.columns = [&quot;time&quot;, &quot;longitude&quot;, &quot;latitude&quot;]
  data['Index'] = range(1, len(data) + 1)
  data.head()
  
  client = Client()
  client.connect('127.0.0.1', 10800)
  
  #Create cache
  my_cache = client.create_cache('my cache')
  
  #I need to add my Dataframe values like it is done for Hello World for each row
  my_cache.put(1, 'Hello World')
  
  </code></pre>
  <p>Please feel free to close the question if it is not relevant</p>