README.md in prophet-rb-0.4.2 vs README.md in prophet-rb-0.5.0

@@ -225,27 +225,27 @@
 [Explanation](https://facebook.github.io/prophet/docs/seasonality,_holiday_effects,_and_regressors.html)
 
 Create a data frame with `holiday` and `ds` columns. Include all occurrences in your past data and future occurrences you’d like to forecast.
 
 ```ruby
-playoffs = Rover::DataFrame.new(
+playoffs = Rover::DataFrame.new({
   "holiday" => "playoff",
   "ds" => [
     "2008-01-13", "2009-01-03", "2010-01-16",
     "2010-01-24", "2010-02-07", "2011-01-08",
     "2013-01-12", "2014-01-12", "2014-01-19",
     "2014-02-02", "2015-01-11", "2016-01-17",
     "2016-01-24", "2016-02-07"
   ],
   "lower_window" => 0,
   "upper_window" => 1
-)
-superbowls = Rover::DataFrame.new(
+})
+superbowls = Rover::DataFrame.new({
   "holiday" => "superbowl",
   "ds" => ["2010-02-07", "2014-02-02", "2016-02-07"],
   "lower_window" => 0,
   "upper_window" => 1
-)
+})
 holidays = playoffs.concat(superbowls)
 
 m = Prophet.new(holidays: holidays)
 m.fit(df)
 ```