puneethmishra
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| docker run -v D:/DeepPy -w=/home -p 8888:8888 --rm -it continuumio/anaconda3 jupyter notebook --no-browser --ip="*" --notebook-dir=/home | |
| docker cp HOST SOURCE DOCKER_NAMES:PATH_IN_DOCKER |
puneethmishra
/ Best Fit Line for multiple groups
Created
April 18, 2014 07:14
Script to create best fit line for different groups using numpy and matplotlib
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| fig, ax = plt.subplots() | |
| for dd,KK in DATASET.groupby('Z'): | |
| fit = polyfit(x,y,3) | |
| fit_fn = poly1d(fit) | |
| ax.plot(KK['x'],KK['y'],'o',KK['x'], fit_fn(KK['x']),'k',linewidth=4) | |
| ax.set_xlabel('x') | |
| ax.set_ylabel('y') |