title: ValueError: could not convert string to float: '0:35:00'
body: <p>The below code is not working I am trying to convert (Time Series Data) in (Time) column on my CSV file contain only one column that what I need to convert it or Normalizing it:</p>
  
  <pre><code># Normalize time series data
  from pandas import read_csv
  from sklearn.preprocessing import MinMaxScaler
  # load the dataset and print the first 5 rows
  series = read_csv("E:\Dataset\Copy3.csv", header=0)
  print(series.head())
  # prepare data for normalization
  values = series.values
  values = values.reshape((len(values), 1))
  # train the normalization
  scaler = MinMaxScaler(feature_range=(0, 1))
  scaler = scaler.fit(values)
  print('Min: %f, Max: %f' % (scaler.data_min_, scaler.data_max_))
  # normalize the dataset and print the first 5 rows
  normalized = scaler.transform(values)
  for i in range(5):
   print(normalized[i])
  # inverse transform and print the first 5 rows
  inversed = scaler.inverse_transform(normalized)
  for i in range(5):
   print(inversed[i])
  
  Output:
           Time
       0  0:35:00
       1  0:55:00
       2  0:59:00
       3  2:11:00
       4  2:45:00
  </code></pre>
  
  <p>I get this error: 
  <a href="https://i.stack.imgur.com/MIIan.png" rel="nofollow noreferrer">Press here to show Error details</a>
          ValueError: could not convert string to float: '0:35:00'</p>
  
  <p>I wish to get some help, thanks for all</p>