Created
August 31, 2018 02:19
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| from matplotlib import pyplot as plt | |
| import numpy as np | |
| randn = np.random.randn | |
| import pandas as pd | |
| from scipy.stats.stats import pearsonr | |
| df = pd.read_excel('data_2.xlsx') | |
| print(df) | |
| c = pd.Series(df.columns.values, name='x').tolist() | |
| remove_list = ['Year', 'Company', '설립연도'] | |
| for x in remove_list: | |
| c.remove(x) | |
| print(c) | |
| #idx = pd.Index(arange(1,11)) | |
| df = pd.DataFrame(randn(24, 24), index=c, columns=c) | |
| #vals = np.around(df.values,2) | |
| #normal = plt.normalize(vals.min()-1, vals.max()+1) | |
| fig = plt.figure(figsize=(15,8)) | |
| ax = fig.add_subplot(111, frameon=True, xticks=[], yticks=[]) | |
| cell_text = [] | |
| for i in c: | |
| _t = [] | |
| for j in c: | |
| r, p_v = pearsonr(df[i], df[j]) | |
| _t.append(r) | |
| cell_text.append(_t) | |
| img = plt.imshow(cell_text, cmap="hot") | |
| plt.colorbar() | |
| tb=plt.table(cellText=cell_text, rowLabels=df.index, colLabels=df.columns, | |
| loc='center', | |
| cellColours=plt.cm.hot(cell_text)) | |
| ax.add_table(tb) | |
| plt.show() |
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