Changeset 4983
- Timestamp:
- Jan 30, 2008, 11:36:42 AM (17 years ago)
- File:
-
- 1 edited
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anuga_core/source/anuga/abstract_2d_finite_volumes/util.py
r4982 r4983 1527 1527 ) 1528 1528 1529 1530 #def OLD_csv2timeseries_graphs(directories_dic={},1531 # output_dir='',1532 # base_name=None,1533 # plot_numbers='0',1534 # quantities=['stage'],1535 # extra_plot_name='',1536 # assess_all_csv_files=True,1537 # create_latex=False,1538 # verbose=True):1539 #1540 # """WARNING!! NO UNIT TESTS... could make some as to test filename..but have1541 # spend ages on this already...1542 # AND NOTE Create_latex is NOT implemented yet.1543 #1544 #1545 # Read in csv files that have the right header information and1546 # plot time series such as Stage, Speed, etc. Will also plot several1547 # time series on one plot. Filenames must follow this convention,1548 # <base_name><plot_number>.csv eg gauge_timeseries3.csv1549 #1550 # Each file represents a location and within each file there are1551 # time, quantity columns.1552 #1553 # For example:1554 # if "directories_dic" defines 4 directories and in each directories1555 # there is a csv files corresponding to the right "plot_numbers",1556 # this will create a plot with 4 lines one for each directory AND1557 # one plot for each "quantities".1558 #1559 # Inputs:1560 # directories_dic: dictionary of directory with values (plot1561 # legend name for directory), (start time of1562 # the time series) and the (value to add to1563 # stage if needed). For example1564 # {dir1:['Anuga_ons',5000, 0],1565 # dir2:['b_emoth',5000,1.5],1566 # dir3:['b_ons',5000,1.5]}1567 #1568 # output_dir: directory for the plot outputs1569 #1570 # base_name: common name to all the csv files to be read. if1571 # using plot_numbers must be the maximum common string1572 # eg. gauges0.csv, gauges1.csv and gauges2.csv1573 # base_name must be 'gauges' not 'gau'1574 #1575 # plot_numbers: a String list of numbers to plot. For example1576 # [0-4,10,15-17] will read and attempt to plot1577 # the follow 0,1,2,3,4,10,15,16,171578 # quantities: Currently limited to "stage", "speed", and1579 # "momentum", should be changed to incorporate1580 # any quantity read from CSV file....1581 # NOTE: ALL QUANTITY NAMES MUST BE lower case!1582 #1583 # extra_plot_name: A string that is appended to the end of the1584 # output filename.1585 #1586 # assess_all_csv_files: if true it will read ALL csv file with1587 # "base_name", regardless of 'plot_numbers'1588 # and determine a uniform set of axes for1589 # Stage, Speed and Momentum. IF FALSE it1590 # will only read the csv file within the1591 # 'plot_numbers'1592 #1593 # create_latex: NOT IMPLEMENTED YET!! sorry Jane....1594 #1595 # OUTPUTS: None, it saves the plots to1596 # <output_dir><base_name><plot_number><extra_plot_name>.png1597 #1598 # Usage: csv2timeseries_graphs({'J:'+sep+'anuga_validation'+sep:['new',20,-.1],1599 # 'J:'+sep+'conical_island'+sep:['test',0,0]},1600 # output_dir='',1601 # plot_numbers=['1','3'],1602 # quantities=['stage','depth','bearing'],1603 # base_name='gauge_b',1604 # assess_all_csv_files=True,1605 # verbose=True)1606 # This will produce one plot for each quantity (therefore 3) in the current directory,1607 # each plot will have 2 lines on them. The first plot named 'new' will have the time1608 # offseted by 20secs and the stage height adjusted by -0.1m1609 #1610 # """1611 ## import pylab1612 # try:1613 # import pylab1614 # except ImportError:1615 # msg='csv2timeseries_graphs needs pylab to be installed correctly'1616 # raise msg1617 # #ANUGA don't need pylab to work so the system doesn't1618 # #rely on pylab being installed1619 # return1620 # from os import sep1621 # from anuga.shallow_water.data_manager import \1622 # get_all_files_with_extension, csv2dict1623 # #find all the files that meet the specs1624 # #FIXME remove all references to word that such as Stage1625 # #(with a Capital letter) could use the header info from1626 # #the dictionary that is returned from the csv2dict this could1627 # #be very good and very flexable.... but this works for now!1628 #1629 # #FIXME MAKE NICER at the end i have started a new version...1630 # # it almost completely works...1631 #1632 # seconds_in_hour = 36001633 # time_label = 'time (hour)'1634 # stage_label = 'wave height (m)'1635 # speed_label = 'speed (m/s)'1636 # momentum_label = 'momentum (m^2/sec)'1637 # xmomentum_label = 'momentum (m^2/sec)'1638 # ymomentum_label = 'momentum (m^2/sec)'1639 # depth_label = 'water depth (m)'1640 # bearing_label = 'degrees (o)'1641 #1642 # if extra_plot_name != '':1643 # extra_plot_name='_'+extra_plot_name1644 #1645 # #finds all the files that fit the specs and return a list of them1646 # #so to help find a uniform max and min for the plots...1647 # list_filenames=[]1648 # #print'oaeuaoe',verbose1649 # if verbose: print 'Determining files to access for axes ranges \n'1650 # #print 'heaoeu'1651 # for i,directory in enumerate(directories_dic.keys()):1652 # #print 'base',basename,directory1653 # list_filenames.append(get_all_files_with_extension(directory,1654 # base_name,'.csv'))1655 ## print 'list_filenames',list_filenames1656 #1657 # #use all the files to get the values for the plot axis1658 # max_xmom=min_xmom=max_ymom=min_ymom=max_st=max_sp=max_mom=min_st=min_sp=min_mom=\1659 # max_depth=min_depth=max_bearing=min_bearing=max_t=min_t=0.1660 # max_start_time= 0.1661 # min_start_time = 1000001662 #1663 # print'hello'1664 # new_plot_numbers=[]1665 # #change plot_numbers to list, eg ['0-4','10']1666 # #to ['0','1','2','3','4','10']1667 # for i, num_string in enumerate(plot_numbers):1668 # if '-' in num_string:1669 # start = int(num_string[:num_string.rfind('-')])1670 # end = int(num_string[num_string.rfind('-')+1:])+11671 # for x in range(start, end):1672 # new_plot_numbers.append(str(x))1673 # else:1674 # new_plot_numbers.append(num_string)1675 ## print 'new_plot_numbers',new_plot_numbers1676 #1677 # if verbose: print 'Determining uniform axes \n'1678 # #this entire loop is to determine the min and max range for the1679 # #axes of the plot1680 # for i, directory in enumerate(directories_dic.keys()):1681 #1682 # if assess_all_csv_files==False:1683 # which_csv_to_assess = new_plot_numbers1684 # else:1685 # which_csv_to_assess = list_filenames[i]1686 #1687 # for j, filename in enumerate(which_csv_to_assess):1688 # if assess_all_csv_files==False:1689 ## dir_filename=directory+sep+base_name+filename1690 # dir_filename=join(directory,base_name+filename)1691 # else:1692 # dir_filename=join(directory,filename)1693 # print'dir_filename',dir_filename1694 # attribute_dic, title_index_dic = csv2dict(dir_filename+1695 # '.csv')1696 #1697 # directory_start_time = directories_dic[directory][1]1698 # directory_add_tide = directories_dic[directory][2]1699 #1700 # time = [float(x) for x in attribute_dic["time"]]1701 # min_t, max_t = get_min_max_values(time,min_t,max_t)1702 #1703 # stage = [float(x) for x in attribute_dic["stage"]]1704 # stage =array(stage)+directory_add_tide1705 # min_st, max_st = get_min_max_values(stage,min_st,max_st)1706 #1707 # if "speed" in quantities:1708 # speed = [float(x) for x in attribute_dic["speed"]]1709 # min_sp, max_sp = get_min_max_values(speed,min_sp,max_sp)1710 #1711 # if "momentum" in quantities:1712 # momentum = [float(x) for x in attribute_dic["momentum"]]1713 # min_mom, max_mom = get_min_max_values(momentum,1714 # min_mom,1715 # max_mom)1716 # if "xmomentum" in quantities:1717 # xmomentum = [float(x) for x in attribute_dic["xmomentum"]]1718 # min_xmom, max_xmom = get_min_max_values(xmomentum,1719 # min_xmom,1720 # max_xmom)1721 # if "ymomentum" in quantities:1722 # ymomentum = [float(x) for x in attribute_dic["ymomentum"]]1723 # min_ymom, max_ymom = get_min_max_values(ymomentum,1724 # min_ymom,1725 # max_ymom)1726 # if "depth" in quantities:1727 # depth = [float(x) for x in attribute_dic["depth"]]1728 # min_depth, max_depth = get_min_max_values(depth,1729 # min_depth,1730 # max_depth)1731 # if "bearing" in quantities:1732 # bearing = [float(x) for x in attribute_dic["bearing"]]1733 # min_bearing, max_bearing = get_min_max_values(bearing,1734 # min_bearing,1735 # max_bearing)1736 #1737 ## print 'min_sp, max_sp',min_sp, max_sp,1738 # print directory_start_time1739 # if min_start_time > directory_start_time:1740 # min_start_time = directory_start_time1741 # if max_start_time < directory_start_time:1742 # max_start_time = directory_start_time1743 ## print 'start_time' , max_start_time, min_start_time1744 #1745 # stage_axis = (min_start_time/seconds_in_hour,1746 # (max_t+max_start_time)/seconds_in_hour,1747 # min_st, max_st)1748 # speed_axis = (min_start_time/seconds_in_hour,1749 # (max_t+max_start_time)/seconds_in_hour,1750 # min_sp, max_sp)1751 # xmomentum_axis = (min_start_time/seconds_in_hour,1752 # (max_t+max_start_time)/seconds_in_hour,1753 # min_xmom, max_xmom)1754 # ymomentum_axis = (min_start_time/seconds_in_hour,1755 # (max_t+max_start_time)/seconds_in_hour,1756 # min_ymom, max_ymom)1757 # momentum_axis = (min_start_time/seconds_in_hour,1758 # (max_t+max_start_time)/seconds_in_hour,1759 # min_mom, max_mom)1760 # depth_axis = (min_start_time/seconds_in_hour,1761 # (max_t+max_start_time)/seconds_in_hour,1762 # min_depth, max_depth)1763 # bearing_axis = (min_start_time/seconds_in_hour,1764 # (max_t+max_start_time)/seconds_in_hour,1765 # min_bearing, max_bearing)1766 #1767 # cstr = ['b', 'r', 'g', 'c', 'm', 'y', 'k']1768 #1769 ## if verbose: print 'Now start to plot \n'1770 #1771 # i_max = len(directories_dic.keys())1772 # legend_list_dic =[]1773 # legend_list =[]1774 # for i, directory in enumerate(directories_dic.keys()):1775 # if verbose: print'Plotting in %s' %(directory)1776 # print new_plot_numbers,base_name1777 #1778 # if assess_all_csv_files==False:1779 # which_csv_to_assess = new_plot_numbers1780 # else:1781 # which_csv_to_assess = list_filenames[i]1782 #1783 # for j, number in enumerate(which_csv_to_assess):1784 #1785 ## for j, number in enumerate(new_plot_numbers):1786 # print 'number',number1787 # if verbose: print'Starting %s%s'%(base_name,number)1788 # directory_name = directories_dic[directory][0]1789 # directory_start_time = directories_dic[directory][1]1790 # directory_add_tide = directories_dic[directory][2]1791 #1792 # #create an if about the start time and tide hieght1793 # #if they don't exist1794 # file=directory+number1795 # #print 'i %s,j %s, number %s, file %s' %(i,j,number,file)1796 # attribute_dic, title_index_dic = csv2dict(file+'.csv')1797 # #get data from dict in to list1798 # t = [float(x) for x in attribute_dic["time"]]1799 #1800 # #do maths to list by changing to array1801 # t=(array(t)+directory_start_time)/seconds_in_hour1802 # stage = [float(x) for x in attribute_dic["stage"]]1803 # if "speed" in quantities:1804 # speed = [float(x) for x in attribute_dic["speed"]]1805 # if "xmomentum" in quantities:1806 # xmomentum = [float(x) for x in attribute_dic["xmomentum"]]1807 # if "ymomentum" in quantities:1808 # ymomentum = [float(x) for x in attribute_dic["ymomentum"]]1809 # if "momentum" in quantities:1810 # momentum = [float(x) for x in attribute_dic["momentum"]]1811 # if "depth" in quantities:1812 # depth = [float(x) for x in attribute_dic["depth"]]1813 # if "bearing" in quantities:1814 # bearing = [float(x) for x in attribute_dic["bearing"]]1815 #1816 # #Can add tide so plots are all on the same tide height1817 # stage =array(stage)+directory_add_tide1818 #1819 # #finds the maximum elevation1820 # max_ele=-1000001821 # min_ele=1000001822 ## legend_list=[]1823 # if "elevation" in quantities:1824 # elevation = [float(x) for x in attribute_dic["elevation"]]1825 #1826 # min_ele, max_ele = get_min_max_values(elevation,1827 # min_ele,1828 # max_ele)1829 # if min_ele != max_ele:1830 # print "Note! Elevation changes in %s" %dir_filename1831 ## print 'min_ele, max_ele',min_ele, max_ele1832 #1833 #1834 # #populates the legend_list_dic with dir_name and the elevation1835 # if i==0:1836 # legend_list_dic.append({directory_name:max_ele})1837 # else:1838 # legend_list_dic[j][directory_name]=max_ele1839 #1840 # # creates a list for the legend after at "legend_dic" has been fully populated1841 # # only runs on the last iteration for all the gauges(csv) files1842 # # empties the list before creating it1843 #1844 # if i==i_max-1:1845 # legend_list=[]1846 # print 'legend',legend_list_dic, j1847 # for k, l in legend_list_dic[j].iteritems():1848 ## if "elevation" in quantities:1849 ## legend_list.append('%s (elevation = %sm)'%(k,l))1850 ## else:1851 # legend_list.append('%s '%k)1852 # #print k,l, legend_list_dic[j]1853 #1854 # if "stage" in quantities:1855 # pylab.figure(100+j)1856 # pylab.plot(t, stage, c = cstr[i], linewidth=1)1857 # pylab.xlabel(time_label)1858 # pylab.ylabel(stage_label)1859 # pylab.axis(stage_axis)1860 # pylab.legend(legend_list,loc='upper right')1861 # if output_dir =='':1862 # figname = '%sstage_%s%s.png' %(directory+sep,1863 # base_name+number,1864 # extra_plot_name)1865 # else:1866 # figname = '%sstage_%s%s.png' %(output_dir+sep,1867 # base_name+number,1868 # extra_plot_name)1869 # if verbose: print 'saving figure here %s' %figname1870 # pylab.savefig(figname)1871 #1872 # if "speed" in quantities:1873 # pylab.figure(200+j)1874 # pylab.plot(t, speed, c = cstr[i], linewidth=1)1875 # pylab.xlabel(time_label)1876 # pylab.ylabel(speed_label)1877 # pylab.axis(speed_axis)1878 # pylab.legend(legend_list,loc='upper right')1879 # if output_dir =='':1880 # figname = '%sspeed_%s%s.png' %(directory+sep,1881 # base_name+number,1882 # extra_plot_name)1883 # else:1884 # figname = '%sspeed_%s%s.png' %(output_dir+sep,1885 # base_name+number,1886 # extra_plot_name)1887 # if verbose: print 'saving figure here %s' %figname1888 # pylab.savefig(figname)1889 # if "xmomentum" in quantities:1890 # pylab.figure(300+j)1891 # pylab.plot(t, xmomentum, c = cstr[i], linewidth=1)1892 # pylab.xlabel(time_label)1893 # pylab.ylabel(xmomentum_label)1894 # pylab.axis(xmomentum_axis)1895 # pylab.legend(legend_list,loc='upper right')1896 # if output_dir =='':1897 # figname = '%sxmomentum_%s%s.png' %(directory+sep,1898 # base_name+number,1899 # extra_plot_name)1900 # else:1901 # figname = '%sxmomentum_%s%s.png' %(output_dir+sep,1902 # base_name+number,1903 # extra_plot_name)1904 # if verbose: print 'saving figure here %s' %figname1905 # pylab.savefig(figname)1906 #1907 # if "ymomentum" in quantities:1908 # pylab.figure(400+j)1909 # pylab.plot(t, ymomentum, c = cstr[i], linewidth=1)1910 # pylab.xlabel(time_label)1911 # pylab.ylabel(ymomentum_label)1912 # pylab.axis(ymomentum_axis)1913 # pylab.legend(legend_list,loc='upper right')1914 # if output_dir =='':1915 # figname = '%symomentum_%s%s.png' %(directory+sep,1916 # base_name+number,1917 # extra_plot_name)1918 # else:1919 # figname = '%symomentum_%s%s.png' %(output_dir+sep,1920 # base_name+number,1921 # extra_plot_name)1922 # if verbose: print 'saving figure here %s' %figname1923 # pylab.savefig(figname)1924 #1925 # if "momentum" in quantities:1926 # pylab.figure(500+j)1927 # pylab.plot(t, momentum, c = cstr[i], linewidth=1)1928 # pylab.xlabel(time_label)1929 # pylab.ylabel(momentum_label)1930 # pylab.axis(momentum_axis)1931 # pylab.legend(legend_list,loc='upper right')1932 # if output_dir =='':1933 # figname = '%smomentum_%s%s.png' %(directory+sep,1934 # base_name+number,1935 # extra_plot_name)1936 # else:1937 # figname = '%smomentum_%s%s.png' %(output_dir+sep,1938 # base_name+number,1939 # extra_plot_name)1940 # if verbose: print 'saving figure here %s' %figname1941 # pylab.savefig(figname)1942 #1943 # if "bearing" in quantities:1944 # pylab.figure(600+j)1945 # pylab.plot(t, bearing, c = cstr[i], linewidth=1)1946 # pylab.xlabel(time_label)1947 # pylab.ylabel(bearing_label)1948 # pylab.axis(bearing_axis)1949 # pylab.legend(legend_list,loc='upper right')1950 # if output_dir =='':1951 # figname = '%sbearing_%s%s.png' %(output_dir+sep,1952 # base_name+number,1953 # extra_plot_name)1954 # else:1955 # figname = '%sbearing_%s%s.png' %(output_dir+sep,1956 # base_name+number,1957 # extra_plot_name)1958 # if verbose: print 'saving figure here %s' %figname1959 # pylab.savefig(figname)1960 #1961 # if "depth" in quantities:1962 # pylab.figure(700+j)1963 # pylab.plot(t, depth, c = cstr[i], linewidth=1)1964 # pylab.xlabel(time_label)1965 # pylab.ylabel(depth_label)1966 # pylab.axis(depth_axis)1967 # pylab.legend(legend_list,loc='upper right')1968 # if output_dir == '':1969 # figname = '%sdepth_%s%s.png' %(directory,1970 # base_name+number,1971 # extra_plot_name)1972 # else:1973 # figname = '%sdepth_%s%s.png' %(output_dir+sep,1974 # base_name+number,1975 # extra_plot_name)1976 # if verbose: print 'saving figure here %s' %figname1977 # pylab.savefig(figname)1978 #1979 # if verbose: print 'Closing all plots'1980 # pylab.close('all')1981 # del pylab1982 # if verbose: print 'Finished closing plots'1983 1984 1529 def csv2timeseries_graphs(directories_dic={}, 1985 1530 output_dir='', … … 2381 1926 del pylab 2382 1927 if verbose: print 'Finished closing plots' 2383 2384 2385 #def old_get_min_max_values(list=None,min1=100000,max1=-100000):2386 # """ Returns the min and max of the list it was provided.2387 # NOTE: default min and max may need to change depeending on2388 # your list2389 # """2390 # if list == None: print 'List must be provided'2391 # if max(list) > max1:2392 # max1 = max(list)2393 # if min(list) < min1:2394 # min1 = min(list)2395 #2396 # return min1, max12397 1928 2398 1929 def get_min_max_values(list=None):
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