start to implement texenv filter for pictures

notes_tools/generate_bilan/filters.py

@@ -0,0 +1,32 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+from uuid import uuid4
+from path import Path
+
+def includegraphic(fig_ax, path="./fig/",
+        prefix="", scale=1):
+    """ Jinja2 filter which save the figure and return latex includegraphic to display it.
+
+    :param fig_ax: TODO
+    :param path: TODO
+    :param prefix: TODO
+    :param scale: TODO
+    :returns: TODO
+
+    """
+    fig, ax = fig_ax
+    if prefix:
+        filename = "{}_{}.pdf".format(prefix, str(uuid4())[:8])
+    else:
+        filename = "{}.pdf".format(str(uuid4())[:8])
+    path_to_file = Path(path)
+    path_to_file.mkdir_p()
+    fig.savefig(path_to_file/filename)
+    return "\includegraphic[scale={sc}]{{{f}}}".format(sc = scale, f=path_to_file/filename)
+
+
+# -----------------------------
+# Reglages pour 'vim'
+# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
+# cursor: 16 del 

notes_tools/generate_bilan/texenv.py

@@ -2,6 +2,7 @@
 # encoding: utf-8
 
 import jinja2, os
+from .filters import includegraphic
 
 __all__ = ["texenv"]
 
@@ -24,25 +25,8 @@ texenv = jinja2.Environment(
 
 # Filters
 
-def do_calculus(steps, name = "A", sep = "=", end = "", joining = " \\\\ \n"):
+texenv.filters['includegraphic'] = includegraphic
-    """Display properly the calculus
 
-    Generate this form string:
-    "name & sep & a_step end joining"
-
-    :param steps: list of steps
-    :returns: latex string ready to be endbeded
-
-
-    """
-
-    ans = joining.join([name + " & " + sep + " & " + str(s) + end for s in steps])
-    return ans
-
-texenv.filters['calculus'] = do_calculus
-
-from random import shuffle
-texenv.filters['shuffle'] = shuffle
 
 
 

notes_tools/tools/plottings.py

@@ -61,12 +61,15 @@ def radar_graph(labels = [], values = [], optimum = []):
     N = len(labels) 
     theta = _radar_factory(N)
     max_val = max(max(optimum), max(values))
+
     fig = plt.figure(figsize=(3,3))
     ax = fig.add_subplot(1, 1, 1, projection='radar')
+
     ax.plot(theta, values, color='k')
     ax.plot(theta, optimum, color='r')
     ax.set_varlabels(labels)
-    plt.show()
+    return fig, ax
+    #plt.show()
     #plt.savefig("radar.png", dpi=100)