Untitled.py

#!/usr/bin/env python
# coding: utf-8

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import pandas as pd
import matplotlib.pyplot as plt, matplotlib.image as mpimg
from sklearn.model_selection import train_test_split
from sklearn import svm
get_ipython().run_line_magic('matplotlib', 'inline')


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labeled_images = pd.read_csv('./train.csv')


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labeled_images.shape


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images = labeled_images.iloc[0:5000,1:]


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images.shape


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labeled_images.iloc[:6,:6]


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labels = labeled_images.iloc[0:5000,:1]


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labels.head(30)


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train_images, test_images,train_labels, test_labels = train_test_split(images, labels, train_size=0.8, random_state=0)


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train_images.shape


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test_images.shape


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train_labels.shape


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i=1
img=train_images.iloc[i].as_matrix()


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img


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i=1
img=train_images.iloc[i]


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img.shape


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i=1
img=train_images.iloc[i].as_matrix()


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