minor fixes for issues dipanjanS#5 , dipanjanS#8 and dipanjanS#9

Author: raghavbali

notebooks/Ch03_Processing_Wrangling_and_Visualizing_Data/notebook_wrangle_data.ipynb

@@ -25,6 +25,8 @@
  "from random import randrange\n",
  "from sklearn import preprocessing\n",
  "\n",
+ "from IPython.display import display\n",
+ "\n",
  "pd.options.mode.chained_assignment = None"
  ]
  },
@@ -38,7 +40,9 @@
  {
  "cell_type": "code",
  "execution_count": 2,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "def _random_date(start,date_count):\n",
@@ -201,7 +205,9 @@
  {
  "cell_type": "code",
  "execution_count": 3,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "df = generate_sample_data(row_count=1000)"
@@ -1864,7 +1870,9 @@
  {
  "cell_type": "code",
  "execution_count": 24,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "df_dropped['price'].fillna(value=np.round(df.price.mean(),decimals=2),\n",
@@ -2811,7 +2819,9 @@
  {
  "cell_type": "code",
  "execution_count": 34,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "df_normalized = df.dropna().copy()\n",
@@ -4095,7 +4105,7 @@
  "name": "python",
  "nbconvert_exporter": "python",
  "pygments_lexer": "ipython3",
- "version": "3.5.4"
+ "version": "3.5.3"
  }
  },
  "nbformat": 4,

notebooks/Ch11_Forecasting_Stock_and_Commodity_Prices/lstm_utils.py

@@ -116,6 +116,7 @@ def get_seq_train_test(time_series, scaling=True,train_size=0.9):
  scaler = None
  if scaling:
  scaler = MinMaxScaler(feature_range=(0, 1))
+ time_series = np.array(time_series).reshape(-1,1)
  scaled_stock_series = scaler.fit_transform(time_series)
  else:
  scaled_stock_series = time_series

notebooks/Ch11_Forecasting_Stock_and_Commodity_Prices/notebook_gold_forecast_arima.ipynb

@@ -39,8 +39,8 @@
  "from statsmodels.tsa.seasonal import seasonal_decompose\n",
  "\n",
  "\n",
- "from time_series_utils import ad_fuller_test, plot_rolling_stats\n",
- "from time_series_utils import plot_acf_pacf, arima_gridsearch_cv"
+ "from arima_utils import ad_fuller_test, plot_rolling_stats\n",
+ "from arima_utils import plot_acf_pacf, arima_gridsearch_cv"
  ]
  },
  {
@@ -859,7 +859,7 @@
  ],
  "metadata": {
  "kernelspec": {
- "display_name": "Python [default]",
+ "display_name": "Python 3",
  "language": "python",
  "name": "python3"
  },
@@ -873,7 +873,7 @@
  "name": "python",
  "nbconvert_exporter": "python",
  "pygments_lexer": "ipython3",
- "version": "3.5.2"
+ "version": "3.5.3"
  }
  },
  "nbformat": 4,