From e9a8310f151ead60434ae944d726a2fd22b23d06 Mon Sep 17 00:00:00 2001 From: Bertrand Benjamin Date: Sun, 4 Aug 2019 23:32:22 +0200 Subject: [PATCH] Fix: bug on score_rate parsing --- recopytex/csv_extraction.py | 4 ++++ recopytex/scripts/recopytex.py | 24 ++++++++++++------------ templates/tpl_evaluation.ipynb | 10 +++++----- 3 files changed, 21 insertions(+), 17 deletions(-) diff --git a/recopytex/csv_extraction.py b/recopytex/csv_extraction.py index 41f30d4..5007052 100644 --- a/recopytex/csv_extraction.py +++ b/recopytex/csv_extraction.py @@ -69,6 +69,10 @@ def flat_clear_csv(csv_df, no_student_columns=NO_ST_COLUMNS.values()): .replace(VALIDSCORE["NOANSWER"], -1) .apply(lambda x: str(x).replace(",", ".")) ) + df[COLUMNS["score_rate"]] = pd.to_numeric( + df[COLUMNS["score_rate"]] + .apply(lambda x: str(x).replace(",", ".")) + ) return df diff --git a/recopytex/scripts/recopytex.py b/recopytex/scripts/recopytex.py index 9df41cc..83885e0 100644 --- a/recopytex/scripts/recopytex.py +++ b/recopytex/scripts/recopytex.py @@ -64,18 +64,18 @@ def report(csv_file): ), ) - with open(csv_file.parent / "description.yml") as f: - tribe_desc = yaml.load(f, Loader=yaml.FullLoader) + # with open(csv_file.parent / "description.yml") as f: + # tribe_desc = yaml.load(f, Loader=yaml.FullLoader) - template = Path(config["templates"]) / "tpl_student.ipynb" - dest = Path(config["output"]) / tribe / csv_filename / "students" - dest.mkdir(parents=True, exist_ok=True) + # template = Path(config["templates"]) / "tpl_student.ipynb" + # dest = Path(config["output"]) / tribe / csv_filename / "students" + # dest.mkdir(parents=True, exist_ok=True) - for st in tribe_desc["students"]: - click.echo(f"Building {st} report on {assessment}") - pm.execute_notebook( - str(template), - str(dest / f"{st}.ipynb"), - parameters=dict(tribe=tribe, student=st, source=str(tribe_dir.absolute())), - ) + # for st in tribe_desc["students"]: + # click.echo(f"Building {st} report on {assessment}") + # pm.execute_notebook( + # str(template), + # str(dest / f"{st}.ipynb"), + # parameters=dict(tribe=tribe, student=st, source=str(tribe_dir.absolute())), + # ) diff --git a/templates/tpl_evaluation.ipynb b/templates/tpl_evaluation.ipynb index 31cb48e..7b2b6b7 100644 --- a/templates/tpl_evaluation.ipynb +++ b/templates/tpl_evaluation.ipynb @@ -378,22 +378,22 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 30, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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BzF6NcxYR+Rb+VPY97iq7gO8lfMzDyQ/HpTjsc1yfdJ7+yQg27ihm7OSZbNheHLfPJcE7UIGIvBGuZzyDiEj1vVR2PHeXnU92wn94IHkSSRb/TuSs7m155tIRFO7cy4WPzWRbUcmBG0m9dKAC4VUsi0jA3isfys1lP+W4hPncm/xnEmvx6efh3dry+MVZrN6yh58+nUdxaXmtfW6pPQcqEIeb2Q4z2wkMDi/vMLOdZrajNgKKyDctrOjOlaVXM8BW8kjyAyRb7b9Bj+zZjvvPG8LsVVu5Zspcyiv0N2RDs98C4e6J7t7S3Vu4e1J4ed96y9oKKSL/9aW3ZFzJdbRlJ4+n3EOa7T1wozg5Y/Ch/PqM/kzP38j973wWWA6JDz0/L1KPlHoiPy+5hs205JWU35JeB07kLzmmO59t3MkfPyhgQKeWnDbo0KAjSQ2JdbhvEakD/q/sImZ5P+5Onsygg3wIrqaYGb/NHsDQrq355cvzWbqhZp6/kODFtUCY2WgzW2pmBWZ2U5T9x5nZHDMrM7OzK+0rN7N54VdO5bYijc208hE8XX4qP018k+zEj4OO8zVNkhL580XDSWuSxLhn89hZXBp0JKkBcSsQ4UH+JgGnAf2B882sf6XDVgE/Bl6I8iH2uPuQ8GtMvHKK1AerK9pzY+llDLHPuTFpStBxourYMpU/XTiM1VuK+NVrC3H1Wdd78TyDGAEUuPtydy8BpgDZkQe4+0p3/xTQCGAiVSj1RK4uvQowHk7+YyB3LMXqiO5t+cWoPuTMX8fL5ccHHUcOUjwLRGdgdcT6mvC2WKWaWZ6ZzTSz70c7wMzGhY/JKywsPJisInXWfWVnM9czuSv5L3RJqPu/5z//bm+O7tWO35RdTEFFp6DjyEGoy53U3dw9C7gAeMDMelU+wN0nu3uWu2elp6fXfkKROPv354U8Up7N+YnvcUbiJ0HHiUlignH/eUNoxl7Gl17FXtfNkvVVPAvEWqBLxHpGeFtM3H1t+N/lwIfA0JoMJ1LXbd9TyvUvf0pvW8OEpGeDjlMtHVumck/yoyzxbtxfdvaBG0idFM8CkQtkmlkPM0sBxgIx3Y1kZm3MrEl4uT1wDLAobklF6qCJbyyicNde7kt+hKZW/8Y7OjFxHmMT32dy+ZnMrsgMOo58C3ErEO5eBowHpgOLgZfcPd/MJprZGAAzO8LM1gDnAI+aWX64eT8gz8zmAx8Ad7m7CoQ0Gu8s2sirc9bw8xN6HfSkP0G6Nek5OtmXXFd6BUXeJOg4Uk1xvTjo7tOAaZW2TYhYziV06alyu4+BQfHMJlJXbd1dws1TF9D3kBZcdWIm1K1HHqqluRVzb/KfOb/kVu4sO5/bk58KOpJUQ13upBZplCbk5LOtqIQ/nHs4KUn1/7/okQlL+Eni2zxbfgr/Lh8YdByphvr/2yfSgExbsJ435q/j6pMyGdCpVdBxasz1SX+lt63hhtKfsdObBh1HYqQCIVJHfLlrL7e+vpBBnVtxxQnfuKu7Xku1Uu5JfpQNtOHusvOCjiMxUoEQqQPcnVtfW8iu4jL+cO7hJCc2vP+aQxOWcUn4UtOsisOCjiMxaHi/hSL1UM78dbydv4FfnNyHPh1bBB0nbv436WUybBM3lV5GsScHHUcOQAVCJGAbdxQz4W/5DO3amnHHNeyp35vZXu5Keozl3omHys4KOo4cgAqESIDcnZunLqC4tJx7zzmcxAQLOlLcHZu4kHMSP+TR8jPJr+gWdBzZDxUIkQC9PHsN7y/ZxA2j+9IrvXnQcWrNrUnP04ad3Fg6jjLX21BdpZ+MSEDWbdvD7W8sYkT3tlxydPeg49SqVrabiclPsdB78Fj56UHHkSqoQIgEwN258dVPKatw7jlnMAmN4NJSZaclzOLUhFncX3Y2yysOCTqORKECIRKA5z9Zxb8//5JbzuhHt3ZpQccJhBncnvwUKZRyc+lPqfDGVyTrOhUIkVq2anMRv5u2mGN7t+eikV2DjhOoDraNXyU9zyfen7+WnxB0HKlEBUKkFlVUONe/Mp9EM35/9mDM9FfzeYkfcmRCPr8ru4CN3jroOBJBBUKkFj318Uo+WbGFX5/Zn86tNSYRhC413Zn0OCUkM6H0x0HHkQgqECK1ZHnhLu6evoTvHpbOOVnfGOW+UeuRsIFrk15lesUI3i4/Iug4EqYCIVILysor+OXL82mSlMhd/6NLS9FclvgmA2wFvy79MduLSoOOI8S5QJjZaDNbamYFZnZTlP3HmdkcMyszs7Mr7bvYzD4Pvy6OZ06ReHv4/QLmrtrG7d8fSMeWqUHHqZOSrILfJ/+FLbTkzrcWBx1HiGOBMLNEYBJwGtAfON/M+lc6bBXwY+CFSm3bAr8BRgIjgN+YWZt4ZRWJp9yVW3j4/c85a1hnxhzeKeg4ddrAhJX8NPFNpuSu5uNlXwYdp9GL5xnECKDA3Ze7ewkwBciOPMDdV7r7p0BFpbanAu+4+xZ33wq8A4yOY1aRuNi+p5Rrp8wjo00zJmZrNrVYXJs0lW7tmn01RpUEJ54FojOwOmJ9TXhbjbU1s3FmlmdmeYWFhd86qEg8uDu/fn0hG3YU8+DYITRvEtcp4BuMplbCnWcN4ovNRdz/7mdBx2nU6nUntbtPdvcsd89KT08POo7I10yds5ac+ev4xahMhnbVFdLqOLpXe87L6sJj/17BwrXbg47TaMWzQKwFukSsZ4S3xbutSOCWbNjBr15fwMgebbnihN5Bx6mXbjm9H23TUkJjVpVXvgottSGeBSIXyDSzHmaWAowFcmJsOx04xczahDunTwlvE6nzdhSXcsVzc2iZmszDFwxtFHM8xEOrZslMHDOA/HU7eOyjFUHHaZTiViDcvQwYT+iNfTHwkrvnm9lEMxsDYGZHmNka4BzgUTPLD7fdAtxOqMjkAhPD20TqNHfn+pfns2pLEZMuHEaHFrql9WCcNuhQTh3Qkfvf+YyVX+4OOk6jE9c+CHef5u593L2Xu98R3jbB3XPCy7nunuHuae7ezt0HRLR9wt17h19PxjOnSE2Z/K/lTM/fyM2n9eWI7m2DjtMgTMweSEpSAjdPXYC7Bx2nUanXndQidcn7Szby+7eXcNrAQ7j02B5Bx2kwOrZM5ZbT+zFj+Wb+mrv6wA2kxqhAiNSAxet3cNULc+l3aEvuPedwDaVRw87L6sKRPdvyf28uZs3WoqDjNBoqECIHadPOYi59KpfmqUk8fvERpOl5hxqXkGDcc/bh4T6eT6mo0KWm2qACIXIQdu0t47Kn89haVMrjFx/BIa3UKR0vXdo2Y8L3+jNj+Wae+nhl0HEaBRUIkW+puLSccc/ksXDdDh46fygDO7cKOlKDd25WF07q24Hfv72Egk07g47T4KlAiHwLpeUVjH9hDh8v28w9Zw/m5P4dg47UKJgZd/7PIJqlJHLdS/Mp1QN0caUCIVJNpeUVXPvXeby7eBO3Zw/grGGa/Kc2dWiRyu9+MIhP12xn0gcFQcdp0FQgRKqhuLScy5+dzZufrudXp/fjh0d1DzpSo3TaoEP5wdDOPPx+AfNWbws6ToOlAiESox3FpVzyZC7vL93E/31/IJcd1zPoSI3abWMGcEjLVK56cQ47ijUDXTyoQEiNcYcKb5j3/3+xeTdn/eljcldu4Q/nHM5FR3YLOlKj16ppMg+dP5R124r1lHWc6IZtqZaSsgoWrN3G3LLTWeadWFZxKOtpxw5vxk6aUUECSZTRhFLa2k46spVDbTOZCWs5zFbT374gw71ePUj28bIvufL5OVQ4PHPpCI7u1T7oSBI2vFsbfnlKH+5+eynH9GrPBSO7Bh2pQVGBkAPatLOYtxduYHr+BvJWbmVvWQVwEW3ZQU9bz3D7jFYJu2lBEYlUUEoSe0lms7dkI22Y5715o+zorz5eh9+9x4gebRnZoy1H9WpHr/TmdbJglJZX8OC7nzPpwwJ6tE/j8YuPoEf7tKBjSSWXH9eLGcs289s38hnerQ2HHdIi6EgNhgqERFVWXsG7izfy7Mwv+HjZZtyhV3oaF47sxogebcl6+Qja246YP95ub8JnnkF+RXdye/2aT5Zv4e+frgega9tmnNi3Ayf168CIHm1pkpQYry8rZks27ODmqQuYu2ob5wzP4LYxA/SEdB2VkGDcd+4QTn/o34x/YQ5/G38MzVL0s6oJ+i7K1+zaW8YzM1by7IwvWL+9mM6tm3L1iZmcMfhQ+nSM+MvsldiLA0Ca7WWoLWNowjIuGjsVd2f1lj38u6CQ9xdv4sVZq3jq45WkpSTyncx0TurXgRP7dqBd8yY1+wUewM7iUh5+v4DHP1pBy9QkHjp/KGMO71SrGaT60ls04YHzhnDR459w46sLeGjskDp5VlrfWEPp2MnKyvK8vLygY9Rbu/eW8fSMlfzlX8vZWlTKsb3b86OjunFSv47RJ7y5rWafGt7jKcyo6M+7FcN4v3woG2iHUcFQK+CkxDmMSphDH1uD/fYgpp/cT+ad3pSnyk/lsbLT2U5zzk98nxuSptDGdkW0j8/nlii+5ff6Tx8WcPfbS7nl9L6MO65XDYdqmMxstrtnRdunM4hGrrzCmZK7ivv+8Rmbd5dwwmHpXDuqD0O6tK7VHE2thBMT53Fi4jw8CfK9O+9WDOO98mHcUzaWexhLhm1iVE4+JxyWzvBubWiRmnxQn9Md5nkvXir/LjnlR7GbpoxKmM01SVMZlKAZzOqjK47vRf7aHdz11hL6HdqS72RqrvqDEdcCYWajgQeBROAxd7+r0v4mwDPAcGAzcJ67rzSz7oRmoVsaPnSmu18ez6yN0awVW7gtJ59F63cwontb/nJxX4Z1bRN0LMxgoK1kYMJKrk2aykZvzXvlw3ivYhgvzjqEpz5eSYLBYYe05IjubRjYqRW9OjSnd3pzWjWrumiUeiLLvBOLvSszK/rzz/LBbKAdTSnm9IRP+HHSP1QY6jkz4+6zB7OscBdXvTiXN8YfS5e2zYKOVW/F7RKTmSUCnwEnA2sITR16vrsvijjm58Bgd7/czMYCP3D388IF4u/uPjDWz6dLTLHburuE376Rz+vz1tGpVSo3n96PMwcfWr1rtgFdMtlzyxbyvthC3sqtzP5iK3NXbWV3SflX+5s3SaJtWgpt0lJICl8a21NSzpe79rJ5ZxHlhDrAW7Cb4xIWcHzCfE5LnEUL23PgT65LTLXnYL7XhJ5b+d7DH9GpdVNevvyogz7bbMiCusQ0Aihw9+XhEFOAbGBRxDHZwG3h5VeAP5p6luLq3UUbufm1BWwrKuHqE3tzxQm9aZoS/F1DsWoa7sTed+mgvMJZvaWIgk27KCjcxYbtxWwtKmHL7hIq3DGM1k2TGdS5FelzHyIzYS397At62nqSTAO9NVTd2qUx6cJhXPJkLj9/fg5P/PgIkhP1XHB1xbNAdAYi5wdcA4ys6hh3LzOz7UC78L4eZjYX2AHc6u7/rvwJzGwcMA6ga1c9ILM/2/eUMvGNRbw6Zw39Dm3J05eMoH+nlkHHOmiJCUb39ml0b5/GKA4wourCl2snlNQJ38lM53dnDeKGVz7llqkLuPvswbqzqZrqaif1eqCru282s+HA62Y2wN2/dm+lu08GJkPoElMAOeuFf35WyI2vfErhrr1cfWJvxp+YSUqS/pqShu/crC6s3bqHB9/7nIw2zbhmVGbQkeqVeBaItUCXiPWM8LZox6wxsySgFbDZQx0jewHcfbaZLQP6AOpkqIZde8u4481FvDhrNZkdmjP5R8MZnFG7dyeJBO3aUZms3baH+9/9jHbNUzSOVjXEs0DkAplm1oNQIRgLXFDpmBzgYmAGcDbwvru7maUDW9y93Mx6ApnA8jhmbXA+LviS61/5lPXb9/Cz43vyi1F9SE2uP30NIjXFzLjzrEFsKyrh1tcXkpqcyNnDNYdHLOJWIMJ9CuOB6YRuc33C3fPNbCKQ5+45wOPAs2ZWAGwhVEQAjgMmmlkpUAFc7u5b4pW1ISkqKeOut5bwzIwv6NE+jZcvP5rh3YK/dVUkSMmJCfzxgmFc9kweN7wynyZJCXxPT8gfUFz7INx9GjCt0rYJEcvFwDlR2r0KvBrPbA1R7sot/O/L81m1pYifHNOD6089rHVLb1AAAAsESURBVF7doSQST6nJiUz+YRYXPzmLa/86D0BF4gDqaie1VENxaTn3Tl/K4/9ZQUabpky57EhG9mx34IYijUzTlESe+PER/OTJXK6eMpdde8s4f4TugKyKCkQ9N/uLrdzwynyWFe7moiO7cvNp/TTqqMh+NG+SxNM/GcEVz8/m5qkL2FVcptkBq6B3knpqT0k5f/hH6KyhU6umPHfpSI7N1EQ2IrFomhK63PSLl+Zxx7TFbNhRzC2n94s+MGUjpgJRD+Wu3MINr3zKii9DZw03ndaP5jprEKmWlKQEHho7lPTmTXj8oxWs+HI3D44domE5IuhdpR7ZtbeMe6cv5ekZK8lo05QXLhup6S9FDkJignHbmAH07tCc3+Tkc/YjM5j8o+F0a6eZAwH0OG094O78/dN1nPSHD3l6xkp+dGQ33r7mOBUHkRpy0ZHdePqSEazfvoczHvqIv3+6LuhIdYIKRB23rHAXP3x8FuNfmEt6iyZMveJofps9UB3RIjXs2Mz2TLvmO2R2bM74F+Zyy2sLKC4tP3DDBkzvMnXU1t0lTPqggKdnrCQ1OZGJ2QO4cGQ3daKJxFFGm2a89LOjuPcfS3n0n8v5uOBL7vqfwRzZSG8bV4GoY/aUlPPkxyt45MNl7N5bxtnDM7j+1L6kt6jduZlFGqvkxARuPq0fx2emc9PUBYydPJMLRnblxtF9adW0cXVgq0DUEXtKynkpbzWPfLiMDTuKGdWvA9ef2pfDDmkRdDSRRuno3u2Zfu1x3PfOUh7/aAVvLVjPL07uw/kjujaauSVUIAK2fU8pz838gic+WsHm3SVkdWvDg2OH6ElokTqgaUoivzqjP9lDOnPHm4uZ8Ld8nvp4Jb88+TBGDzykwV/yVYEIyKJ1O3j+ky94fe5adpeUc8Jh6fz8hN6M6NE26GgiUsnAzq144bKRvLt4E3e+tZgrX5hDr/Q0rjihN9lDOjXYMwoViFq0raiE6fkb+Gvuauas2kaTpATOHNyJS47pzsDOmrNYpC4zM07u35ET+3bgrYXrmfTBMv735fn8/u0lnJuVwdgjutKlbbOgY9YoFYg421ZUwgdLN/H3+ev51+eFlJY7PduncesZ/Th7eAatm6UEHVFEqiExwThzcCfOGHQoHy4t5PlPvuCRD5fxpw+XcXSvdpwxqBOnDOhI++b1/8YSFYgaVlJWwcJ12/nXZ4X887NC5q/eRoVDp1apXHJMD743uBMDO7fU3Lgi9ZyZ8d2+Hfhu3w6s27aHv+au5m/z1nLLawu49fUFjOjRluP6pHNs7/YM6NSqXvZXqEAchLLyCr7YUsTSDTuZu2orc1dtY8Ha7ewtq8AMDs9ozVUnZnL8YekMyWhNQj38BRGRA+vUuim/OLkP147KZMmGnby1YD3T8zdy99tLuZultExNYkSPdgzOaMWgjFYM6tyqXpxhxLVAmNlo4EFCM8o95u53VdrfBHgGGA5sBs5z95XhfTcDlwLlwNXuPj2eWauyp6Scddv3sG5b6LV2WzErvtzN5xt3srxwNyXlFUBo4K9BnVvxwyO7MaxbG47q2Y42abp8JNKYmBn9Dm1Jv0Nbct0ph7FpZzEzlm3mPwVfkvfFVt5bshH30LEdWjShZ3oaPdo3p2f7NLq3T+PQVql0aNmE9mlN6sQflHErEGaWCEwCTgbWALlmluPuiyIOuxTY6u69zWws8HvgPDPrT2j60QFAJ+BdM+vj7jX+3PvO4lKe+s9KthaVsq2ohK1FJWwtKmX7nlK27C5h+57SSl8XdGrVlD4dm3N8n3QyO7agT8fmHHZIC5okafY2EfmvDi1SyR7SmewhnYHQ+03+uh0sXLudxet3snLzbqbnb2DL7pKvtUtKMNJbNCG9RRNaNU2mZdPk0L+p4X+bJtE0OZFmKYmkJifSLq0JgzJq/kaXeJ5BjAAK3H05gJlNAbKByAKRDdwWXn4F+KOFLs5nA1PcfS+wIjxn9QhgRk2HrKiAP7zzGWkpibRulkKbtGTaNEuhS9tmtGmWTMeWqXRqnUqnVk3p1LopHVumkpLUMG9pE5H4apGazJE9231j6I5tRSWs3FzExh3FX702bN9L4a697NhTytqte9hRHPrDtbTcv/Fxh3RpzetXHlPjeeNZIDoDqyPW1wAjqzrG3cvMbDvQLrx9ZqW2nSt/AjMbB4wLr+4ys6UHyNQe+DLWLyAg9SEjBJXzt9U67a7ZjNX73NVRH37mtZvx23+vG+X38gvAxn/r5t2q2lGvO6ndfTIwOdbjzSzP3bPiGOmg1YeMUD9y1oeMUD9y1oeMUD9y1oeM+8TzWslaoEvEekZ4W9RjzCwJaEWoszqWtiIiEkfxLBC5QKaZ9TCzFEKdzjmVjskBLg4vnw287+4e3j7WzJqYWQ8gE5gVx6wiIlJJ3C4xhfsUxgPTCd3m+oS755vZRCDP3XOAx4Fnw53QWwgVEcLHvUSoQ7sMuLKG7mCK+XJUgOpDRqgfOetDRqgfOetDRqgfOetDRgDM/Zs94iIiIrpfU0REolKBEBGRqBptgTCzX5qZm1n7oLNUZmb3mNkSM/vUzF4zs9ZBZ9rHzEab2VIzKzCzm4LOE42ZdTGzD8xskZnlm9k1QWeqipklmtlcM/t70FmqYmatzeyV8O/kYjM7KuhMlZnZL8I/64Vm9qKZpQadCcDMnjCzTWa2MGJbWzN7x8w+D//bJsiM+9MoC4SZdQFOAVYFnaUK7wAD3X0w8Blwc8B5gK8Nn3Ia0B84PzwsSl1TBvzS3fsDRwJX1tGcANcAi4MOcQAPAm+7e1/gcOpYXjPrDFwNZLn7QEI3xYwNNtVXngJGV9p2E/Ceu2cC74XX66RGWSCA+4EbgDrZQ+/u/3D3svDqTELPgdQFXw2f4u4lwL7hU+oUd1/v7nPCyzsJvaF940n8oJlZBnAG8FjQWapiZq2A4wjdcYi7l7j7tmBTRZUENA0/T9UMWBdwHgDc/V+E7tCMlA08HV5+Gvh+rYaqhkZXIMwsG1jr7vODzhKjnwBvBR0iLNrwKXXujTeSmXUHhgKfBJskqgcI/aFSEXSQ/egBFAJPhi+FPWZmaUGHiuTua4F7CV0RWA9sd/d/BJtqvzq6+/rw8gagY5Bh9qdBFggzezd8LbLyKxu4BZhQxzPuO+ZXhC6XPB9c0vrLzJoDrwLXuvuOoPNEMrMzgU3uPjvoLAeQBAwDHnH3ocBu6tglkfA1/GxCxawTkGZmFwWbKjbhB4Pr5JUMqOdjMVXF3UdF225mgwj9Es0Pz+iWAcwxsxHuvqEWI1aZcR8z+zFwJnCS152HVerNEChmlkyoODzv7lODzhPFMcAYMzsdSAVamtlz7l7X3tjWAGvcfd8Z2CvUsQIBjAJWuHshgJlNBY4Gngs0VdU2mtmh7r7ezA4FNgUdqCoN8gyiKu6+wN07uHt3d+9O6Jd/WG0XhwMJT7R0AzDG3YuCzhMhluFTAhceMv5xYLG73xd0nmjc/WZ3zwj/Ho4lNMxMXSsOhP9vrDazw8KbTuLrQ/bXBauAI82sWfhnfxJ1rCO9ksghhi4G/hZglv1qkGcQDcAfgSbAO+EznZnufnmwkaoePiXgWNEcA/wQWGBm88LbbnH3aQFmqs+uAp4P/1GwHLgk4Dxf4+6fmNkrwBxCl2TnUkeGszCzF4ETgPZmtgb4DXAX8JKZXUpopO5zg0u4fxpqQ0REompUl5hERCR2KhAiIhKVCoSIiESlAiEiIlGpQIiISFQqECIiEpUKhIiIRPX/lfyF4Coi3HAAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] @@ -406,7 +406,7 @@ ], "source": [ "assessment_scores[\"Note\"].plot.kde()\n", - "assessment_scores[\"Note\"].plot.kde()" + "assessment_scores[\"Note\"].plot.hist(density=True)" ] }, {