[Matplotlib-users] gridspec with text in one of the axes

[Claus H. <cla...@gm...>]

Hi,
I am trying to produce a set of plots using grispec. There should be an images shown in each of the axes (using imshow) except in one of the axes, where I want to show/plot some text. However, the text seems to be too long to be displayed in one line. Is there a way to print it in something like a text box? 

I created a minimal example (see below)

I can not / do not want to make a string variable with three quotation marks (docstring), because I am reading the text from a bigger ascii file.

Thanks for your help!


import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec


def main():
    """
    goal is to show justified text in one axes of matplotlib
    there are two examples I found on stackoverflow. But I am not sure how they could be applicable here
    http://stackoverflow.com/questions/5777576/is-there-a-way-of-drawing-a-caption-box-in-matplotlib
    http://stackoverflow.com/questions/4018860/text-box-in-matplotlib
    """
    plt.close('all')
    fig = plt.figure(figsize=(5, 10))
    plt.subplots_adjust(left=0.1, right=0.9, top=0.95, bottom=0.1)

    n_rows = 5
    outer_grid = gridspec.GridSpec(n_rows, 2 )# ,wspace=0.0, hspace=0.0
    
    lst_files = [ 'circle.png'
                , 'circle.png'
                , 'circle.png'
                , 'circle.png'
                , 'text'
                , 'circle.png'
                , 'circle.png'
                , 'circle.png'
                , 'circle.png']

    for cur_map_id, cur_map_file in enumerate(lst_files):
        
        cur_row = (cur_map_id % n_rows)
        if cur_map_id / n_rows == 0:
            cur_column = 0
        else:
            cur_column = 1
    
        # preparation: no axes
        ax = plt.subplot(outer_grid[cur_row, cur_column], frameon=False)
        ax.axes.get_yaxis().set_visible(False)
        ax.axes.get_xaxis().set_visible(False)
    
        # fix for the fact that the fourth entry is text and not in tmp_lst_imgs
        if cur_map_id > 4: 
            cur_map_id = cur_map_id - 1
        
        # the actual plotting
        if cur_map_file == 'text':
            lorem = 'Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.'
            ax.text(0.05, 0.9, lorem, size=6)
        else:
            print cur_map_id
            im = plt.imread(cur_map_file)
            ax.imshow(im)
        ax.set_title(cur_map_file, size=6)
        fig.add_subplot(ax)
        
    plt.savefig('blah.png', dpi=300)
    print "done!"
    
if __name__ == '__main__':
    main()