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…ant results for post processing in Jupyter Notebook
…e fit panel, add more comments to the code
…mall bug the fit panel
…function (to extract the data of the graph)
…a cursors for the integration range
rettigl
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rettigl
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Please address the few points that I have noted here, then we can finish this finally for now.
| if self.vmax<10: | ||
| self.cmin, self.cmax = 10, 1e9 | ||
| self.case=True | ||
| else: | ||
| self.cmin, self.cmax=self.vmin,self.vmax |
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Why is this here? I don't understand this.
| if self.case : | ||
| self.slider.setValue([self.new_values(self.vmin), self.new_values(self.vmax)]) |
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I don't understand this. Please explain, and give meaningful variable names
| self.slider.setValue([float(self.vmin),float(self.vmax)]) | ||
| if self.case : | ||
| self.slider.setValue([self.new_values(self.vmin), self.new_values(self.vmax)]) | ||
| self.slider.valueChanged.connect(lambda value: self.update_clim(value)) |
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Why this lambda function, can't you use the function directly?
| if self.active_cursor == self.artist: | ||
| if self.artist.get_xdata()[0]==self.artist.get_xdata()[1]: | ||
| self.artist.set_xdata([event.xdata, event.xdata]) | ||
| self.changes() |
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How does this work, if changes=None?
Also, please give meaningful names
| self.fig.canvas.mpl_connect('pick_event', self.on_pick) | ||
| self.fig.canvas.mpl_connect('motion_notify_event', self.on_motion) | ||
| self.fig.canvas.mpl_connect('button_release_event', self.on_release) |
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If you connect these handlers in each instance, this means you will have a lot of handlers connected to each event happening on the canvas. I am wondering if this might slow things down, compared to only one global handler per event type.
| npts = min(arr.size, kernel.size) | ||
| pad = np.ones(npts) | ||
| tmp = np.concatenate((pad*arr[0], arr, pad*arr[-1])) |
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I think this only works if kernel size < arr size
| return out[noff:noff+npts] | ||
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| def convolution(x, func, *args, sigma=1.0): |
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Why this in addition? Which one do you use?
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I suggest to remove this also for now. It does not make sense to add 1200 lines twice. This cannot in any way be maintained.
| def __init__(self, canvas, ax, show_popup=None): | ||
| self.canvas = canvas | ||
| self.ax = ax | ||
| self.show_popup=show_popup |
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Why don't you connect the triggers here, as for the other handlers?
| # Create a figure and canvas for the graph | ||
| figure, axis = plt.subplots(figsize=(20, 20)) | ||
| figure, axis = plt.subplots(figsize=(10, 10)) | ||
| plt.close(figure) |
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Do you have to do this with plt.ioff()?
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