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28 statements  

1import numpy as np 

2from matplotlib.tri._triangulation import Triangulation 

3import matplotlib.cbook as cbook 

4import matplotlib.lines as mlines 

5 

6 

7def triplot(ax, *args, **kwargs): 

8 """ 

9 Draw an unstructured triangular grid as lines and/or markers. 

10 

11 Call signatures:: 

12 

13 triplot(triangulation, ...) 

14 triplot(x, y, [triangles], *, [mask=mask], ...) 

15 

16 The triangular grid can be specified either by passing a `.Triangulation` 

17 object as the first parameter, or by passing the points *x*, *y* and 

18 optionally the *triangles* and a *mask*. If neither of *triangulation* or 

19 *triangles* are given, the triangulation is calculated on the fly. 

20 

21 Parameters 

22 ---------- 

23 triangulation : `.Triangulation` 

24 An already created triangular grid. 

25 x, y, triangles, mask 

26 Parameters defining the triangular grid. See `.Triangulation`. 

27 This is mutually exclusive with specifying *triangulation*. 

28 other_parameters 

29 All other args and kwargs are forwarded to `~.Axes.plot`. 

30 

31 Returns 

32 ------- 

33 lines : `~matplotlib.lines.Line2D` 

34 The drawn triangles edges. 

35 markers : `~matplotlib.lines.Line2D` 

36 The drawn marker nodes. 

37 """ 

38 import matplotlib.axes 

39 

40 tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args, **kwargs) 

41 x, y, edges = (tri.x, tri.y, tri.edges) 

42 

43 # Decode plot format string, e.g., 'ro-' 

44 fmt = args[0] if args else "" 

45 linestyle, marker, color = matplotlib.axes._base._process_plot_format(fmt) 

46 

47 # Insert plot format string into a copy of kwargs (kwargs values prevail). 

48 kw = cbook.normalize_kwargs(kwargs, mlines.Line2D) 

49 for key, val in zip(('linestyle', 'marker', 'color'), 

50 (linestyle, marker, color)): 

51 if val is not None: 

52 kw.setdefault(key, val) 

53 

54 # Draw lines without markers. 

55 # Note 1: If we drew markers here, most markers would be drawn more than 

56 # once as they belong to several edges. 

57 # Note 2: We insert nan values in the flattened edges arrays rather than 

58 # plotting directly (triang.x[edges].T, triang.y[edges].T) 

59 # as it considerably speeds-up code execution. 

60 linestyle = kw['linestyle'] 

61 kw_lines = { 

62 **kw, 

63 'marker': 'None', # No marker to draw. 

64 'zorder': kw.get('zorder', 1), # Path default zorder is used. 

65 } 

66 if linestyle not in [None, 'None', '', ' ']: 

67 tri_lines_x = np.insert(x[edges], 2, np.nan, axis=1) 

68 tri_lines_y = np.insert(y[edges], 2, np.nan, axis=1) 

69 tri_lines = ax.plot(tri_lines_x.ravel(), tri_lines_y.ravel(), 

70 **kw_lines) 

71 else: 

72 tri_lines = ax.plot([], [], **kw_lines) 

73 

74 # Draw markers separately. 

75 marker = kw['marker'] 

76 kw_markers = { 

77 **kw, 

78 'linestyle': 'None', # No line to draw. 

79 } 

80 kw_markers.pop('label', None) 

81 if marker not in [None, 'None', '', ' ']: 

82 tri_markers = ax.plot(x, y, **kw_markers) 

83 else: 

84 tri_markers = ax.plot([], [], **kw_markers) 

85 

86 return tri_lines + tri_markers