Commit 5b36623

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

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3 files changed

+20

-9

lines changed

notebooks
- Ch03_Processing_Wrangling_and_Visualizing_Data
  - notebook_wrangle_data.ipynb
- Ch11_Forecasting_Stock_and_Commodity_Prices
  - lstm_utils.py
  - notebook_gold_forecast_arima.ipynb

3 files changed

+20

-9

lines changed

`‎notebooks/Ch03_Processing_Wrangling_and_Visualizing_Data/notebook_wrangle_data.ipynb`

Lines changed: 15 additions & 5 deletions

Original file line number	Diff line number	Diff line change
`@@ -25,6 +25,8 @@`
`25`	`25`	`"from random import randrange\n",`
`26`	`26`	`"from sklearn import preprocessing\n",`
`27`	`27`	`"\n",`
	`28`	`+ "from IPython.display import display\n",`
	`29`	`+ "\n",`
`28`	`30`	`"pd.options.mode.chained_assignment = None"`
`29`	`31`	`]`
`30`	`32`	`},`
`@@ -38,7 +40,9 @@`
`38`	`40`	`{`
`39`	`41`	`"cell_type": "code",`
`40`	`42`	`"execution_count": 2,`
`41`		`- "metadata": {},`
	`43`	`+ "metadata": {`
	`44`	`+ "collapsed": true`
	`45`	`+ },`
`42`	`46`	`"outputs": [],`
`43`	`47`	`"source": [`
`44`	`48`	`"def _random_date(start,date_count):\n",`
`@@ -201,7 +205,9 @@`
`201`	`205`	`{`
`202`	`206`	`"cell_type": "code",`
`203`	`207`	`"execution_count": 3,`
`204`		`- "metadata": {},`
	`208`	`+ "metadata": {`
	`209`	`+ "collapsed": true`
	`210`	`+ },`
`205`	`211`	`"outputs": [],`
`206`	`212`	`"source": [`
`207`	`213`	`"df = generate_sample_data(row_count=1000)"`
`@@ -1864,7 +1870,9 @@`
`1864`	`1870`	`{`
`1865`	`1871`	`"cell_type": "code",`
`1866`	`1872`	`"execution_count": 24,`
`1867`		`- "metadata": {},`
	`1873`	`+ "metadata": {`
	`1874`	`+ "collapsed": true`
	`1875`	`+ },`
`1868`	`1876`	`"outputs": [],`
`1869`	`1877`	`"source": [`
`1870`	`1878`	`"df_dropped['price'].fillna(value=np.round(df.price.mean(),decimals=2),\n",`
`@@ -2811,7 +2819,9 @@`
`2811`	`2819`	`{`
`2812`	`2820`	`"cell_type": "code",`
`2813`	`2821`	`"execution_count": 34,`
`2814`		`- "metadata": {},`
	`2822`	`+ "metadata": {`
	`2823`	`+ "collapsed": true`
	`2824`	`+ },`
`2815`	`2825`	`"outputs": [],`
`2816`	`2826`	`"source": [`
`2817`	`2827`	`"df_normalized = df.dropna().copy()\n",`
`@@ -4095,7 +4105,7 @@`
`4095`	`4105`	`"name": "python",`
`4096`	`4106`	`"nbconvert_exporter": "python",`
`4097`	`4107`	`"pygments_lexer": "ipython3",`
`4098`		`- "version": "3.5.4"`
	`4108`	`+ "version": "3.5.3"`
`4099`	`4109`	`}`
`4100`	`4110`	`},`
`4101`	`4111`	`"nbformat": 4,`

`‎notebooks/Ch11_Forecasting_Stock_and_Commodity_Prices/lstm_utils.py`

Lines changed: 1 addition & 0 deletions

Original file line number	Diff line number	Diff line change
`@@ -116,6 +116,7 @@ def get_seq_train_test(time_series, scaling=True,train_size=0.9):`
`116`	`116`	`scaler = None`
`117`	`117`	`if scaling:`
`118`	`118`	`scaler = MinMaxScaler(feature_range=(0, 1))`
	`119`	`+ time_series = np.array(time_series).reshape(-1,1)`
`119`	`120`	`scaled_stock_series = scaler.fit_transform(time_series)`
`120`	`121`	`else:`
`121`	`122`	`scaled_stock_series = time_series`

`‎notebooks/Ch11_Forecasting_Stock_and_Commodity_Prices/notebook_gold_forecast_arima.ipynb`

Lines changed: 4 additions & 4 deletions

Original file line number	Diff line number	Diff line change
`@@ -39,8 +39,8 @@`
`39`	`39`	`"from statsmodels.tsa.seasonal import seasonal_decompose\n",`
`40`	`40`	`"\n",`
`41`	`41`	`"\n",`
`42`		`- "from time_series_utils import ad_fuller_test, plot_rolling_stats\n",`
`43`		`- "from time_series_utils import plot_acf_pacf, arima_gridsearch_cv"`
	`42`	`+ "from arima_utils import ad_fuller_test, plot_rolling_stats\n",`
	`43`	`+ "from arima_utils import plot_acf_pacf, arima_gridsearch_cv"`
`44`	`44`	`]`
`45`	`45`	`},`
`46`	`46`	`{`
`@@ -859,7 +859,7 @@`
`859`	`859`	`],`
`860`	`860`	`"metadata": {`
`861`	`861`	`"kernelspec": {`
`862`		`- "display_name": "Python [default]",`
	`862`	`+ "display_name": "Python 3",`
`863`	`863`	`"language": "python",`
`864`	`864`	`"name": "python3"`
`865`	`865`	`},`
`@@ -873,7 +873,7 @@`
`873`	`873`	`"name": "python",`
`874`	`874`	`"nbconvert_exporter": "python",`
`875`	`875`	`"pygments_lexer": "ipython3",`
`876`		`- "version": "3.5.2"`
	`876`	`+ "version": "3.5.3"`
`877`	`877`	`}`
`878`	`878`	`},`
`879`	`879`	`"nbformat": 4,`

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Commit 5b36623

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3 files changed

3 files changed

`‎notebooks/Ch03_Processing_Wrangling_and_Visualizing_Data/notebook_wrangle_data.ipynb`

`‎notebooks/Ch11_Forecasting_Stock_and_Commodity_Prices/lstm_utils.py`

`‎notebooks/Ch11_Forecasting_Stock_and_Commodity_Prices/notebook_gold_forecast_arima.ipynb`

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