glentner / dataphile Goto Github PK

Hi!
Very nice tool you implemented!
On my mac, python 3.6 it is mostly working all right.
But once every 2-3 times, the gui (sliders) freezes and I did not manage do understand the reason (no warning etc).
It might be when the plot leaves the x/y limits of the window but sometimes even if it stays within the limits.
Did you already experienced this problem?
Best

Vincent

Hi,

I'm having issues with running dataphile. I tried to run:

from dataphile.datasets import SyntheticDataset
from dataphile.statistics.distributions import polynomial1D

xdata, ydata = SyntheticDataset(polynomial1D, [100, -0.01, -1e-5], (0, 2400), linspace=True,
noise=0, samples=2400).generate()

I get the following error:

ImportError: cannot import name 'ConsoleHandler' from 'logalpha' (C:\anaconda\lib\site-packages\logalpha_init_.py)

I've tried to reinstall logalpha but the error persists.
I'm using python 3.7 in Anaconda

Thanks for your help!

Hello Geoffrey!
I was thinking about a way to improve the fitting with your tool.
Indeed, what can be annoying is that when you have loaded some points you are obliged to fit them...
What do you think about fitting only the points that are displayed on the plot (taking into account the xlim/ylim of the figure).
This would mean that you can zoom on the part of the plot that you want to fit but also zoom out if you want to use again the whole dataset... in this way it is just a new feature that can not be harmfulll.

A naive way to implement it is just to add to modify change the line self.model.fit(*self.data) by the following in the autoGUI class.

What do you think about adding that?

    def __fit_button_on_clicked(self, event):
        """Action to take when the 'Fit' button is pressed."""
        # call the model.fit with data
        axis = self.figure.axes[0]
        mask = (self.data[0]>axis.get_xlim()[0]) & (self.data[0]<axis.get_xlim()[1]) & (self.data[1]>axis.get_ylim()[0]) & (self.data[1]<axis.get_ylim()[1])
        xdata = self.data[0][mask]
        ydata = self.data[1][mask]
        self.model.fit(xdata,ydata)
#        self.model.fit(*self.data)
        self.__update_graph()
        self.__create_sliders(self.active_model.label)

Best

Vincent