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| #List unique values in a DataFrame column | |
| pd.unique(df.column_name.ravel()) | |
| #Convert Series datatype to numeric, getting rid of any non-numeric values | |
| df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True) | |
| #Grab DataFrame rows where column has certain values | |
| valuelist = ['value1', 'value2', 'value3'] | |
| df = df[df.column.isin(value_list)] |
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| import numpy as np | |
| import warnings | |
| from itertools import cycle, izip | |
| from sklearn.utils import gen_even_slices | |
| from sklearn.utils import shuffle | |
| from sklearn.base import BaseEstimator | |
| from sklearn.base import ClassifierMixin | |
| from sklearn.preprocessing import LabelBinarizer |