df

def remove_min_cols(dataframe, thresold=0.85):
  matrix = dataframe.corr()
  cols = list(matrix.columns)
  graph = []
  for i in cols:
    graph.append([])
  for i in range(len(cols)):
    for j in range(i+1, len(cols)):
      if matrix[cols[i]][cols[j]] > thresold:
        graph[i].append(j)
        graph[j].append(i)
  arr = []
  for i in graph:
    arr.append([len(graph[i]), i])

  arr.sort()
  visited = len(cols)*[False]
  del_cols = [
  for i in arr:
    nedges, node = i
    if not visited[node]:
      for j in graph[node]:
        if not visited[j]:
          visited[j] = True
          del_cols.append(cols[j])
      visited[node] = True

  dataframe.drop(columns=del_cols, inplace = True)