title: Pandas Dataframe rolling_max futurewarning error
body: <p>i have a python pandas code to parse url Json data from api to dataframe </p>
  
  <pre><code>import pandas as pd
  import json
  import urllib.request
  import os
  from pandas import DataFrame
  
      with urllib.request.urlopen(
                              "https://bittrex.com/Api/v2.0/pub/market/GetTicks?marketName=BTC-WAVES&amp;tickInterval=fiveMin") as URL:
          data = json.loads(URL.read().decode())
          df2 = pd.DataFrame(data=data['result'])
          df2.rename(columns={'BV': 'BaseVolume', 'C': 'Close', 'H': 'High', 'L': 'Low', 'O': 'Open', 'T': 'TimeStamp','V': 'Volume'}, inplace=True)
  
      high_prices = df2['High']
      close_prices = df2['Close']
      low_prices = df2['Low']
      TimeStamp = df2.index
      nine_period_high = pd.rolling_max(df2['High'], window=9)
      nine_period_low = pd.rolling_min(df2['Low'], window=9)
      df2['tenkan_sen'] = (nine_period_high + nine_period_low) /2
  
      # Kijun-sen (Base Line): (26-period high + 26-period low)/2))
      period26_high = pd.rolling_max(high_prices, window=26)
      period26_low = pd.rolling_min(low_prices, window=26)
      df2['kijun_sen'] = (period26_high + period26_low) / 2
  
      # Senkou Span A (Leading Span A): (Conversion Line + Base Line)/2))
      df2['senkou_span_a'] = ((df2['tenkan_sen'] + df2['kijun_sen']) / 2).shift(26)
  
      # Senkou Span B (Leading Span B): (52-period high + 52-period low)/2))
      period52_high = pd.rolling_max(high_prices, window=52)
      period52_low = pd.rolling_min(low_prices, window=52)
      df2['senkou_span_b'] = ((period52_high + period52_low) / 2).shift(26)
  
  print('df2')
  print('DONE')
  </code></pre>
  
  <p>it works perfect to me except this error (Not: it doesn't effect result, but i am worry from this future warning.</p>
  
  <pre><code>FutureWarning: pd.rolling_max is deprecated for Series and will be removed in a future version, replace with 
      Series.rolling(window=9,center=False).max()
    nine_period_high = pd.rolling_max(df2['High'], window=9)
  </code></pre>
  
  <p>and the same error always repeated with all rolling_max and rolling_min in all script.</p>
  
  <p>any body can help please.</p>