| You can use the types module: | |
| >>> import types | |
| >>> var = 1 | |
| >>> NumberTypes = (types.IntType, types.LongType, types.FloatType, types.ComplexType) | |
| >>> isinstance(var, NumberTypes) | |
| True | |
| Note the use of a tuple to test against multiple types. |
| # 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(valuelist)] |
| from sklearn.metrics import accuracy_score | |
| import statsmodels.api as sm | |
| logit = sm.Logit(Y_train, X_train) | |
| result = logit.fit() | |
| print(result.summary2()) | |
| Y_p = np.zeros((len(Y_test), 1)) | |
| p = result.predict(X_test) | |
| Y_p[p > 0.5] = 1. |
| import plotly | |
| py = plotly.plotly(username='**username**', key='**put your api key here**') | |
| y=0 | |
| t=0 | |
| dt=0.01 | |
| g=9.8 | |
| v=4 |
| $ git config --global color.ui true |
| $ git config --global user.name "King Kong" | |
| $ git config --global user.email "king-kong@gmail.com" |
| $ git config --list | |
| user.name=King Kong | |
| user.email=king-kong@gmail.com |
This gist lets you keep IPython notebooks in git repositories. It tells git to ignore prompt numbers and program outputs when checking that a file has changed.
To use the script, follow the instructions given in the script's docstring.
For further details, read this blogpost.
The procedure outlined here is inspired by this answer on Stack Overflow.