Created
February 13, 2020 07:21
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Code snippet that renders DataFrame as image
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| import pandas as pd | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import six | |
| import random | |
| df = pd.DataFrame() | |
| df['date'] = ['2016-04-{}'.format(day) for day in range(1, 51)] | |
| df['calories'] = [random.randint(1500, 2000) for i in range(50)] | |
| df['sleep hours'] = [random.randint(6, 10) for i in range(50)] | |
| def render_dataframe(df, | |
| image_name, | |
| col_width=0.625, | |
| row_height=0.425, | |
| font_size=14, | |
| header_color='#40466e', | |
| row_colors=['#f1f1f2', 'w'], | |
| edge_color='w', | |
| bbox=[0, 0, 1, 1], | |
| header_columns=0, | |
| **kwargs): | |
| plt.figure(figsize=(np.array(df.shape[::-1]) + np.array([0,1])) * np.array([col_width, row_height])) | |
| table = plt.table(cellText=df.values, bbox=bbox, colLabels=df.columns, **kwargs) | |
| table.auto_set_font_size(False) | |
| table.set_fontsize(font_size) | |
| for k, cell in six.iteritems(table._cells): | |
| cell.set_edgecolor(edge_color) | |
| if k[0] == 0 or k[1] < header_columns: | |
| cell.set_text_props(weight="bold", color="w") | |
| cell.set_facecolor(header_color) | |
| else: | |
| cell.set_facecolor(row_colors[k[0] % len(row_colors)]) | |
| plt.axis('off') | |
| plt.tight_layout() | |
| plt.savefig(image_name) | |
| render_dataframe(df, "test.png", header_columns=0, col_width=2.0) |
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