<reponame>ysoftman/test_code
# -*- coding: utf-8 -*-
# author: ysoftman
# python version : 2.x 3.x
# desc : 매트릭스 그래프 표시
import seaborn as sn
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

if __name__ == '__main__':
    # mat = [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        ]
    lines = 10
    cols = lines
    mat = np.zeros((lines, cols))
    print(mat)
    for line in range(len(mat)):
        for cols in range(len(mat[line])):
            mat[line][cols] = np.random.randint(100)
    print(mat)
    names = {"aaa", "bbb", "ccc", "ddd", "eee",
             "fff", "ggg", "hhh", "iii", "jjj", }
    df_cm = pd.DataFrame(
        mat, index=[i for i in names], columns=[i for i in names])
    plt.figure()
    sn.heatmap(df_cm, annot=True)
    plt.show()

# -*- coding: utf-8 -*-
# author: ysoftman
# python version : 2.x 3.x
# desc : 매트릭스 그래프 표시
import seaborn as sn
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

if __name__ == '__main__':
    # mat = [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    #        ]
    lines = 10
    cols = lines
    mat = np.zeros((lines, cols))
    print(mat)
    for line in range(len(mat)):
        for cols in range(len(mat[line])):
            mat[line][cols] = np.random.randint(100)
    print(mat)
    names = {"aaa", "bbb", "ccc", "ddd", "eee",
             "fff", "ggg", "hhh", "iii", "jjj", }
    df_cm = pd.DataFrame(
        mat, index=[i for i in names], columns=[i for i in names])
    plt.figure()
    sn.heatmap(df_cm, annot=True)
    plt.show()
# -*- coding: utf-8 -*- # author: ysoftman # python version : 2.x 3.x # desc : 매트릭스 그래프 표시 # mat = [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], #        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], #        ]