# Import
import tensorflow as tf
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
import matplotlib.pyplot as plt




record_iterator = tf.python_io.tf_record_iterator(path="csv.tfrecord")
print ("ok")
print (record_iterator)
for string_record in record_iterator:
    print ("ok")
    example = tf.train.Example()
    example.ParseFromString(string_record)

    labels = example.features.feature['label'].float_list.value


    features = example.features.feature['features'].float_list.value


print (labels)
print (features)
print ("end")