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

# # 패션 MNIST

# [5-2.mnist_digit_pixel_by_pixel.ipynb](5-2.mnist_digit_pixel_by_pixel.ipynb) 노트북을 재사용하여 패션 MNIST 이미지를 출력합니다.

# [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/rickiepark/dl-illustrated/blob/master/notebooks/14-1.fashion_mnist_pixel_by_pixel.ipynb)

# #### 라이브러리 적재

# In[1]:


from matplotlib import pyplot as plt
from tensorflow.keras.datasets import fashion_mnist
import numpy as np


# #### 데이터 적재

# In[2]:


(X_train, y_train), (X_valid, y_valid) = fashion_mnist.load_data()


# #### 이미지 샘플

# In[3]:


# sample = np.random.randint(0, X_train.shape[0])
sample = 39235


# #### 이미지 출력

# In[4]:


plt.figure(figsize = (10,10))
mnist_img = X_train[sample]
plt.imshow(mnist_img,cmap="Greys")
ax = plt.gca()

# First turn off the  major labels, but not the major ticks
plt.tick_params(
    axis='both',        # changes apply to the both x and y axes
    which='major',      # Change the major ticks only
    bottom=True,        # ticks along the bottom edge are on
    left=True,          # ticks along the top edge are on
    labelbottom=False,  # labels along the bottom edge are off
    labelleft=False)    # labels along the left edge are off

# Next turn off the minor ticks, but not the minor labels
plt.tick_params(
    axis='both',        # changes apply to both x and y axes
    which='minor',      # Change the minor ticks only
    bottom=False,       # ticks along the bottom edge are off
    left=False,         # ticks along the left edge are off
    labelbottom=True,   # labels along the bottom edge are on
    labelleft=True)     # labels along the left edge are on

# Set the major ticks, starting at 1 (the -0.5 tick gets hidden off the canvas)
ax.set_xticks(np.arange(-.5, 28, 1))
ax.set_yticks(np.arange(-.5, 28, 1))

# Set the minor ticks and labels
ax.set_xticks(np.arange(0, 28, 1), minor=True);
ax.set_xticklabels([str(i) for i in np.arange(0, 28, 1)], minor=True);
ax.set_yticks(np.arange(0, 28, 1), minor=True);
ax.set_yticklabels([str(i) for i in np.arange(0, 28, 1)], minor=True);

ax.grid(color='black', linestyle='-', linewidth=1.5)
_ = plt.colorbar(fraction=0.046, pad=0.04, ticks=[0,32,64,96,128,160,192,224,255])


# #### 이미지 레이블 확인

# In[5]:


y_train[sample]