CODEWITHSUNDEEP
pythonwxpythonmatplotlib
honeymoon
honeymoon

Reputation: 2520

Matplotlib in wxpython-plotting aborts

I'm using matplotlib in my wx.Frame to draw some arrows and text at a certain position. The number and position of the arrows is based on previously created data. I do some calculations but basically it's like this:

arrow = primer for each primer: draw one arrow at position y - 0.05 to the previos arrow (primer_y - 0.05). The x position of the arrow comes from the data, which is calculated and scaled (not so important know, it's just to now where the arrow should be at primer_x).

Everything works fine until I have many arrows to draw. E.g. in my code example the data contain 62 arrows, where 18 are drawn correctly, the next 3 are missing but the text is there and the rest is completly missing.

Does anyone knows what could be the problem? I tried allready to change the FigureSize but it's only stretch the arrows.

Here's a quick and dirty working example, data is included in the code: http://pastebin.com/7mQmZm2c

Any help is highly appreciated! Thanks in advance! Stefanie

Upvotes: 1

Views: 207

Answers (1)

unutbu
unutbu

Reputation: 879461

  1. Stick

            print((primer_x+0.06, primer_y))

    inside the loop. You'll find that the arrows cease to be drawn when primer_y becomes negative.

  2. Don't draw the arrows with self.axes.annotate while labeling the arrow with self.fig.text. The axis and the figure use different coordinate systems. Changing self.fig.text to self.axes.text will allow you to use the same coordinate system, which will make it easier for you to position the text under the arrows.
  3. There are far too many hard-coded numbers ("magic numbers") in your code. It makes it very hard to fix because when one number changes, the rest to do not change in a logical way along with it. If you can use formulas to define the relationship between some of those magic numbers, your life will be a lot easier.

  4. For example, if you change the for-loop to

    for primer,primer_y in zip(data,np.linspace(0.95,0.0,len(data))):

    instead of decrementing primer_y by a fixed amount with each pass through the loop, then primer_y will automatically space itself between 0.95 down to 0.0 no matter how many items there are in data.

  5. If you find the arrows are squished (vertically), you can expand the figure by changing the figsize on this line:

    self.fig = matplotlib.figure.Figure(figsize=(20, 30), facecolor='white')

Upvotes: 3

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