Commit d116e27

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Fixed warnings and errors

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+22

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+22

-3

lines changed

Lines changed: 2 additions & 2 deletions

Original file line number	Diff line number	Diff line change
`@@ -42,7 +42,7 @@ import plotly.graph_objects as go`
`42`	`42`	`import numpy as np`
`43`	`43`
`44`	`44`	`# Download data set from plotly repo`
`45`		`-pts = np.loadtxt(np.DataSource().open('https://raw.githubusercontent.com/plotly/datasets/master/mesh_dataset.txt'))`
	`45`	`+pts = np.loadtxt(np.lib.npyio.DataSource().open('https://raw.githubusercontent.com/plotly/datasets/master/mesh_dataset.txt'))`
`46`	`46`	`x, y, z = pts.T`
`47`	`47`
`48`	`48`	`fig = go.Figure(data=[go.Mesh3d(x=x, y=y, z=z, color='lightpink', opacity=0.50)])`
@@ -58,7 +58,7 @@ The `alphahull` parameter sets the shape of the mesh. If the value is -1 (defaul
`58`	`58`	`import plotly.graph_objects as go`
`59`	`59`	`import numpy as np`
`60`	`60`
`61`		`-pts = np.loadtxt(np.DataSource().open('https://raw.githubusercontent.com/plotly/datasets/master/mesh_dataset.txt'))`
	`61`	`+pts = np.loadtxt(np.lib.npyio.DataSource().open('https://raw.githubusercontent.com/plotly/datasets/master/mesh_dataset.txt'))`
`62`	`62`	`x, y, z = pts.T`
`63`	`63`
`64`	`64`	`fig = go.Figure(data=[go.Mesh3d(x=x, y=y, z=z,`

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Original file line number	Diff line number	Diff line change
`@@ -264,6 +264,7 @@ import plotly.express as px`
`264`	`264`	`import plotly.graph_objects as go`
`265`	`265`	`import numpy as np`
`266`	`266`	`from sklearn.neighbors import KNeighborsClassifier`
	`267`	`+from sklearn.model_selection import train_test_split`
`267`	`268`
`268`	`269`	`mesh_size = .02`
`269`	`270`	`margin = 1`

Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -491,7 +491,7 @@ y = df['petal_width']`
`491`	`491`	`# Define and fit the grid`
`492`	`492`	`model = DecisionTreeRegressor()`
`493`	`493`	`param_grid = {`
`494`		`- 'criterion': ['mse', 'friedman_mse', 'mae'],`
	`494`	`+ 'criterion': ['squared_error', 'friedman_mse', 'absolute_error'],`
`495`	`495`	`'max_depth': range(2, 5)`
`496`	`496`	`}`
`497`	`497`	`grid = GridSearchCV(model, param_grid, cv=N_FOLD)`

Lines changed: 10 additions & 0 deletions

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`@@ -132,6 +132,16 @@ TMA_i = \frac{SMA_i + ... + SMA_{i+n}}{n}`
`132`	`132`	`$$`
`133`	`133`
`134`	`134`	```python
	`135`	`+import plotly.graph_objects as go`
	`136`	`+import numpy as np`
	`137`	`+`
	`138`	`+np.random.seed(1)`
	`139`	`+`
	`140`	`+x = np.linspace(0, 10, 100)`
	`141`	`+y = np.sin(x)`
	`142`	`+noise = 2 * np.random.random(len(x)) - 1 # uniformly distributed between -1 and 1`
	`143`	`+y_noise = y + noise`
	`144`	`+`
`135`	`145`	`def smoothTriangle(data, degree):`
`136`	`146`	`triangle=np.concatenate((np.arange(degree + 1), np.arange(degree)[::-1])) # up then down`
`137`	`147`	`smoothed=[]`

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