"Python Data Science Handbook" abnormal correction

Due to changes in some modules, leading to reproduction "python Data Science Handbook" code - when (in particular Chapter 5 machine learning), often error.

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1. scikit-learn.cross_validation module changes
from `scikit-learn 0.20` since version, has replaced `cross_validation` module` model_selection` module. Therefore, to reproduce the code, `from sklearn.cross_validation import when xxx`, will be reported` ModuleNotFoundError: No module named 'sklearn.cross_validation'` errors. P307:

In[15]:from sklearn.cross_validation import train_test_split # Error
In[15]:from sklearn.model_selection import train_test_split # Amend

In[20]:
from sklearn.mixture import GMM # Error
from sklearn.mixture import GaussianMixture # Amend

In[5]: from sklearn.cross_validation import train_test_split # Error
In[5]: from sklearn.model_selection import train_test_split # Amend


# 用 model_selection 替换 cross_validation
In[7]: from sklearn.cross_validation import cross_val_scroe # Error
In[7]: from sklearn.model_selection import cross_val_scroe # Amend


In[8]: from sklearn.cross_validation import cross_val_scroe # Error
scores = cross_val_score(model, X, y, cv=LeaveOneOut(len(X)) # Error
In[8]: from sklearn.model_selection import cross_val_scroe # Amend
scores = cross_val_score(model, X, y, cv=LeaveOneOut() # Amend，去掉 len(X)

 

2. scikit-learn.learning_curve module changes
from `scikit-learn 0.20` since version, has replaced `learning_curve` module` model_selection` module. Therefore, when reproduced code when `from sklearn.learning_curve import xxx`, will be reported` ModuleNotFoundError: No module named 'sklearn.learning_curve'` errors.

P321:
In[13]:
from sklearn.learning_curve import validation_curve  # Error
from sklearn.model_selection import validation_curve  # Amend


P325:
In[17]:
from sklearn.learning_curve import learning_curve  # Error
from sklearn.model_selection import learning_curve  # Amend

3. scikit-learn.grid_search module changes

Since `scikit-learn 0.20` Edition, has replaced `grid_search` module` model_selection` module. Therefore, to reproduce the code, `from sklearn.grid_search import when xxx`, will be reported` ModuleNotFoundError: No module named 'sklearn.grid_search'` errors.

P326

In[18]:from sklearn.grid_search import GridSearchCV # Error
In[18]:from sklearn.model_selection import GridSearchCV # Amend

In[21]: plt.plot(X_test.ravel(), y_test, hold=True); # Error
In[21]: plt.plot(X_test.ravel(), y_test); # Amend, 去掉 hold=True

 

4. Other error

P248:
In[3]:
ax = plt.axes(axisbg='#E6E6E6') # Error
ax = plt.axes(facecolor='#E6E6E6') # Amend, axisbg -> facecolor


P275:
In[6]:
plt.hist(data[col], normed=True, alpha=0.5) # Error
plt.hist(data[col], density=True, alpha=0.5) # Amend, normed -> density


P248:
In[3]:
ax = plt.axes(axisbg='#E6E6E6') # Error
ax = plt.axes(facecolor='#E6E6E6') # Amend, axisbg -> facecolor


P275:
In[6]:
plt.hist(data[col], normed=True, alpha=0.5) # Error
plt.hist(data[col], density=True, alpha=0.5) # Amend, normed -> density


P279:
In[13]:
sns.pairplot(iris, hue='species', size=2.5) # Error
sns.pairplot(iris, hue='species', height=2.5) # Amend, size -> height


P301:
In[2]:
sns.parirplot(iris, hue='species', size=1.5); # Error
sns.parirplot(iris, hue='species', height=1.5); # Amend, size 改为 height


P349:
In[14]:
weather = pd.read_csv('599021.csv', index_col='DATE', parse_dates=True) # Error
weather = pd.read_csv('599021.csv', index_col='DATE', parse_dates=True) # Amend, 599021.csv -> BicycleWeather.csv

In[15]: daily = counts.resample('d', how='sum') # Error
In[15]: daily = counts.resample('d').sum() # Amend


P361:
In[14]: clf = SVC(kernel='rbf', C=1E6) # Error
In[14]: clf = SVC(kernel='rbf', C=1E6, gamma='auto') # Amend, add gamma='auto'


P363
In[20]:
from sklearn.decomposition import RandomizedPCA # Error
pac = RandomizedPCA(n_components=150, whiten=True, random_state=42) # Error

from sklearn.decomposition import PCA # Amend, RandomizedPCA -> PCA
pac = PCA(n_components=150, whiten=True, random_state=42) # Amend, RandomizedPCA -> PCA


P364:
In[21]: from sklearn.cross_validation import train_test_split # Error
In[21]: from sklearn.model_selection import train_test_split # Amend

In[22]: from sklearn.grid_search import GridSearchCV # Error
grid = GridSearchCV(model, param_grid) # Error
In[22]: from sklearn.model_selection import GridSearchCV # Amend
grid = GridSearchCV(model, param_grid, cv=3) # Amend, add cv=3


P279:
In[13]:
sns.pairplot(iris, hue='species', size=2.5) # Error
sns.pairplot(iris, hue='species', height=2.5) # Amend, size -> height


P301:
In[2]:
sns.parirplot(iris, hue='species', size=1.5); # Error
sns.parirplot(iris, hue='species', height=1.5); # Amend, size 改为 height


P349:
In[14]:
weather = pd.read_csv('599021.csv', index_col='DATE', parse_dates=True) # Error
weather = pd.read_csv('599021.csv', index_col='DATE', parse_dates=True) # Amend, 599021.csv -> BicycleWeather.csv

In[15]: daily = counts.resample('d', how='sum') # Error
In[15]: daily = counts.resample('d').sum() # Amend


P361:
In[14]: clf = SVC(kernel='rbf', C=1E6) # Error
In[14]: clf = SVC(kernel='rbf', C=1E6, gamma='auto') # Amend, add gamma='auto'


P248:
In[3]:
ax = plt.axes(axisbg='#E6E6E6') # Error
ax = plt.axes(facecolor='#E6E6E6') # Amend, axisbg -> facecolor


P275:
In[6]:
plt.hist(data[col], normed=True, alpha=0.5) # Error
plt.hist(data[col], density=True, alpha=0.5) # Amend, normed -> density


P279:
In[13]:
sns.pairplot(iris, hue='species', size=2.5) # Error
sns.pairplot(iris, hue='species', height=2.5) # Amend, size -> height


P301:
In[2]:
sns.parirplot(iris, hue='species', size=1.5); # Error
sns.parirplot(iris, hue='species', height=1.5); # Amend, size 改为 height


P349:
In[14]:
weather = pd.read_csv('599021.csv', index_col='DATE', parse_dates=True) # Error
weather = pd.read_csv('599021.csv', index_col='DATE', parse_dates=True) # Amend, 599021.csv -> BicycleWeather.csv

In[15]: daily = counts.resample('d', how='sum') # Error
In[15]: daily = counts.resample('d').sum() # Amend


P361:
In[14]: clf = SVC(kernel='rbf', C=1E6) # Error
In[14]: clf = SVC(kernel='rbf', C=1E6, gamma='auto') # Amend, add gamma='auto'


P363:
In[20]:
from sklearn.decomposition import RandomizedPCA # Error
pac = RandomizedPCA(n_components=150, whiten=True, random_state=42) # Error

from sklearn.decomposition import PCA # Amend, RandomizedPCA -> PCA
pac = PCA(n_components=150, whiten=True, random_state=42) # Amend, RandomizedPCA -> PCA


P364:
In[21]: from sklearn.cross_validation import train_test_split # Error
In[21]: from sklearn.model_selection import train_test_split # Amend

In[22]: from sklearn.grid_search import GridSearchCV # Error
grid = GridSearchCV(model, param_grid) # Error
In[22]: from sklearn.model_selection import GridSearchCV # Amend
grid = GridSearchCV(model, param_grid, cv=3) # Amend, add cv=3

P363
In[20]:
from sklearn.decomposition import RandomizedPCA # Error
pac = RandomizedPCA(n_components=150, whiten=True, random_state=42) # Error

from sklearn.decomposition import PCA # Amend, RandomizedPCA -> PCA
pac = PCA(n_components=150, whiten=True, random_state=42) # Amend, RandomizedPCA -> PCA

P364:
In[21]: from sklearn.cross_validation import train_test_split # Error
In[21]: from sklearn.model_selection import train_test_split # Amend

In[22]: from sklearn.grid_search import GridSearchCV # Error
grid = GridSearchCV(model, param_grid) # Error
In[22]: from sklearn.model_selection import GridSearchCV # Amend
grid = GridSearchCV(model, param_grid, cv=3) # Amend, add cv=3