From b388b0931fbd63d9e12aa3132894b6c6dcd8277c Mon Sep 17 00:00:00 2001 From: EdenWuyifan Date: Thu, 30 May 2024 12:51:07 -0400 Subject: [PATCH] merge two graphs --- bdikit/api.py | 2 +- bdikit/visualization/scope_reducing.py | 17 +- examples/scope_reducing_heatmap.ipynb | 751 ++++--------------------- 3 files changed, 122 insertions(+), 648 deletions(-) diff --git a/bdikit/api.py b/bdikit/api.py index 61cc0509..578561a6 100644 --- a/bdikit/api.py +++ b/bdikit/api.py @@ -43,7 +43,7 @@ def load_dataset(self, dataset_path): def reduce_scope(self): self.scope_manager = ScopeReducingManager(self.dataset, self.global_table) self.reduced_scope = self.scope_manager.reduce() - return plot_reduce_scope(self.reduced_scope, self.dataset) + return self.reduced_scope def map_columns(self, algorithm='SimFloodAlgorithm'): self.column_manager = ColumnMappingManager(self.dataset, self.global_table, algorithm) diff --git a/bdikit/visualization/scope_reducing.py b/bdikit/visualization/scope_reducing.py index 72f1efb2..d5a39639 100644 --- a/bdikit/visualization/scope_reducing.py +++ b/bdikit/visualization/scope_reducing.py @@ -120,11 +120,8 @@ def _candidates_table(self, column, n_candidates): ) return table_candidates - def explore(self): - select_column = pn.widgets.Select(name='Column selected', - options=list(self.candidates_dfs.keys()), - align='center' - ) + def explore(self, select_column): + select_n_candidates = pn.widgets.EditableIntSlider(name='Number of candidates', start=1, end=self.max_candidates, step=1, value=min(5, self.max_candidates), @@ -170,6 +167,8 @@ def __init__(self) -> None: # Selected column self.selected_row = None + + self.scope_explorer = None def _load_json(self): with open(self.json_path) as f: @@ -180,7 +179,7 @@ def _write_json(self, data): with open(self.json_path, "w") as f: json.dump(data, f) - def get_heatmap(self): + def get_heatmap(self, dataset): recommendations = self._load_json() rec_cols = set() rec_table = [] @@ -214,6 +213,8 @@ def get_heatmap(self): self.get_cols_subschema() self.get_clusters() + self.scope_explorer = ScopeReducerExplorer(dataset, recommendations) + def get_cols_subschema(self): subschemas = [] schema = read_gdc_schema() @@ -368,7 +369,9 @@ def _plot_selected_row(self, heatmap_rec_list, selection): # value = selected_row["Value"] # self._accept_match(column, rec) self.selected_row = selected_row - return pn.widgets.DataFrame(selected_row) + + return self.scope_explorer.explore(column) + # return pn.widgets.DataFrame(selected_row) def _plot_pane( self, clusters=[], subschemas=[], threshold=0.5, acc_click=0, rej_click=0 diff --git a/examples/scope_reducing_heatmap.ipynb b/examples/scope_reducing_heatmap.ipynb index 976a0e54..0339878e 100644 --- a/examples/scope_reducing_heatmap.ipynb +++ b/examples/scope_reducing_heatmap.ipynb @@ -28,7 +28,7 @@ "outputs": [ { "data": { - "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version 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run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t if (!reloading) {\n\t throw e;\n\t }\n\t}\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));", "application/vnd.holoviews_load.v0+json": "" }, "metadata": {}, @@ -909,29 +303,106 @@ }, "metadata": {}, "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd \n", + "import numpy as np\n", + "import json\n", + "\n", + "import panel as pn\n", + "from bdikit import APIManager\n", + "\n", + "pn.extension('mathjax')\n", + "pn.extension('vega')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Some weights of RobertaModel were not initialized from the model checkpoint at roberta-base and are newly initialized: ['roberta.pooler.dense.bias', 'roberta.pooler.dense.weight']\n", + "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + " 0%| | 0/17 [00:00