Download Dataframe.py from TinTinDo/Data-Science-Tutorial: direct link, hf CLI and curl.
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- Download file 734 Bytes
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https://huggingface.co/TinTinDo/Data-Science-Tutorial/resolve/f144dc69c4fbb64aa84c3504c86a76503a70c02b/Dataframe.py
- Command line
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hf download hf://TinTinDo/Data-Science-Tutorial@f144dc69c4fbb64aa84c3504c86a76503a70c02b/Dataframe.py
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curl -L -o Dataframe.py https://huggingface.co/TinTinDo/Data-Science-Tutorial/resolve/f144dc69c4fbb64aa84c3504c86a76503a70c02b/Dataframe.py
734 Bytes
| import pandas as pd | |
| d = {'col1': [1,2,3,4,7], 'col2':[4,5,6,9,8], 'col3':[11,14,16,15,10]} | |
| df = pd.DataFrame(data=d) | |
| count_column = df.shape[1] # Chú thích: 0 là số hàng, 1 là số cột | |
| print('Number of columns: ') | |
| print(df) | |
| print(count_column) | |
| # Tìm giá trị lớn nhất | |
| Average_pulse_max = max(80, 85, 90, 95, 100, 105, 110, 115, 120, 125) | |
| print(Average_pulse_max) | |
| # Tìm giá trị nhỏ nhất | |
| Average_pulse_min = min(80, 85, 90, 95, 100, 105, 110, 115, 120, 125) | |
| print(Average_pulse_min) | |
| # Tìm giá trị trung bình | |
| import numpy as np | |
| Calorie_burnage = [240, 250, 260, 270, 280, 290, 300, 310, 320, 330] | |
| Average_calorie_burnage = np.mean(Calorie_burnage) | |
| print(Average_calorie_burnage) | |