- Support both direct plotting and plotting SVG preview in browser (currently only works on mac)
- Support saving PNG and SVG to disk
- Support customer defined lead order
- Support customer defined column count
pip install ecg_plot
- Input data should be m x n matrix, which m is lead count of ECG and n is length of single lead signal.
- Default sample rate is 500 Hz.
params:
| parameter | description |
|---|---|
| ecg | m x n ECG signal data, which m is number of leads and n is length of signal. |
| sample_rate | Sample rate of the signal. |
| title | Title which will be shown on top off chart |
| lead_index | Lead name array in the same order of ecg, will be shown on left of signal plot, defaults to ['I', 'II', 'III', 'aVR', 'aVL', 'aVF', 'V1', 'V2', 'V3', 'V4', 'V5', 'V6'] |
| lead_order | Lead display order |
| columns | display columns, defaults to 2 |
| style | display style, defaults to None, can be 'bw' which means black white |
| row_height | how many grid should a lead signal have |
| show_lead_name | show lead name |
| show_grid | show grid |
| show_separate_line | show separate line |
import ecg_plot
ecg = load_data() # load data should be implemented by yourself
ecg_plot.plot(ecg, sample_rate = 500, title = 'ECG 12')
ecg_plot.show()
import ecg_plot
ecg = load_data() # load data should be implemented by yourself
ecg_plot.plot_1(ecg[1], sample_rate=500, title = 'ECG')
ecg_plot.show()
import ecg_plot
ecg = load_data() # load data should be implemented by yourself
ecg_plot.plot_12(ecg, sample_rate = 500, title = 'ECG 12')
ecg_plot.save_as_png('example_ecg','tmp/')