# Description: shows compressible plots from read_files import read import matplotlib.pyplot as plt import matplotlib.image as img images = read() images = images[6:] fig = plt.figure() plt.suptitle('FV4', fontsize=16) plt.subplots_adjust(left=0.2,bottom=0.2,right=0.8,top=0.8,wspace=0,hspace=0) loc = plt.MaxNLocator(4) xticks = ['', '', '0.25', '', '0.75'] yticks = ['', '', '0.75', '', '0.25', ''] empticks = ['', '', '', '', ''] for n, lst in enumerate(images): for i, pic in enumerate(lst): a = fig.add_subplot(2,4,4*n+(i+1)) im = a.imshow(pic, aspect='auto') a.xaxis.set_major_locator(loc) a.yaxis.set_major_locator(loc) if n==1 and i==0: a.set_xticklabels(xticks) a.set_yticklabels(yticks) elif n==1 and i!=0: a.set_xticklabels(xticks) a.set_yticklabels(empticks) elif n!=1 and i==0:
import read_files as reader import person, book # CZYTANIE OSÓB Z PLIKU lista_osob_str = reader.read(file_name="people_file") people = [] #lista obiektóœ typu Person for os in lista_osob_str: people.append(person.Person(os[0],os[1],os[2],os[3])) #CZYTANIE KSIĄŻEK Z PLIKÓW books = [] #lista obiektów typu '# Book lista_ksiazek_str = reader.read(file_name="books_file") for b in lista_ksiazek_str: books.append(book.Book(b[0],b[1],b[2],b[3])) # W TYM MIEJSCU MAMY : # books - lista obiektów typu Book (wyczytany z pliku books_file) # people - lista obiektów typu Person (wyczytany z pliku people_file) #ŚCIĄGA kubus = books[1] wiedzmin = books[2] daniel = people[3] michal = people[0] daniel.rent_book(kubus) michal.rent_book(kubus) daniel.give_back_all_books() michal.rent_book(kubus)
Fixation-Correction-Sourcecode is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with Fixation-Correction-Sourcecode. If not, see <http://www.gnu.org/licenses/>. Copyright 2015 Author: Chris Palmer """ import os import read_files # variables used globally # TODO modify this so that it gives the root directory of project # current directory... might actually be the directory of globalVariables current_directory = os.path.dirname(os.path.realpath(__file__))+"/eye-tracking-data" files = read_files.read(current_directory) AOI_FILES = {} # settings that will be modified by testing LOOKBACK_SIZE_MS = 15000 MINIMUM_CLUSTER_SIZE = 3 # between -1 and 1 MEDIAN_OFFSET = .175
import matplotlib.image as img import matplotlib.pyplot as plt import matplotlib.ticker as ticker import scipy.misc as misc from read_files import read images = read() # sedov, quad, bubble, rt cropped_imgs = [] img_titles = ['compressible', 'compressible_rk', 'compressible_fv4'] png_names = ['sedov.png', 'sedov_rk.png', 'sedov_fv4.png', 'quad.png', 'quad_rk.png', 'quad_fv4.png', 'bubble.png', 'bubble_rk.png', 'bubble_fv4.png', 'rt.png', 'rt_rk.png', 'rt_fv4.png'] plt.gca().set_axis_off() plt.subplots_adjust(top=1, bottom=0, right=1, left=0, hspace=0, wspace=0) plt.margins(0,0) plt.gca().xaxis.set_major_locator(ticker.NullLocator()) plt.gca().yaxis.set_major_locator(ticker.NullLocator()) for list in images[:2]: for im in list: cropped_im = im[20:450, 160:650, :] cropped_imgs.append(cropped_im) for list in images[2:3]: for im in list: cropped_im = im[20:450, 240:590, :] cropped_imgs.append(cropped_im) for list in images[3:]: for im in list: cropped_im = im[80:390, 50:750, :] cropped_imgs.append(cropped_im) for n, im in enumerate(cropped_imgs):
Fixation-Correction-Sourcecode is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with Fixation-Correction-Sourcecode. If not, see <http://www.gnu.org/licenses/>. Copyright 2015 Author: Chris Palmer """ import os import read_files # variables used globally # TODO modify this so that it gives the root directory of project # current directory... might actually be the directory of globalVariables current_directory = os.path.dirname( os.path.realpath(__file__)) + "/eye-tracking-data" files = read_files.read(current_directory) AOI_FILES = {} # settings that will be modified by testing LOOKBACK_SIZE_MS = 15000 MINIMUM_CLUSTER_SIZE = 3 # between -1 and 1 MEDIAN_OFFSET = .175