-
-
Notifications
You must be signed in to change notification settings - Fork 5
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Update Minor Version 1.1.0
- Loading branch information
Showing
8 changed files
with
436 additions
and
52 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -21,9 +21,6 @@ | |
| "https://cdn.jsdelivr.net/gh/AnnMarieW/[email protected]/dbc.min.css" | ||
| ) | ||
|
|
||
| # GLOBAL VARS | ||
| SUMMARY_ALL = None | ||
|
|
||
| # APP | ||
| app = dash.Dash( | ||
| APP_TITLE, | ||
|
|
@@ -42,6 +39,7 @@ | |
| pylayout.HTML_TITLE, | ||
| pylayout.HTML_SUBTITLE, | ||
| pylayout.HTML_ALERT_README, | ||
| pylayout.HTML_ALERT_SPONSOR, | ||
| pylayout.HTML_ROW_BUTTON_UPLOAD, | ||
| pylayout.HTML_ROW_TABLE, | ||
| pylayout.HTML_ROW_BUTTON_VIZ, | ||
|
|
@@ -51,6 +49,8 @@ | |
| pylayout.HTML_ROW_TABLE_ANALYZE, | ||
| pylayout.HTML_ROW_BUTTON_VIZ_ANALYSIS, | ||
| pylayout.HTML_ROW_GRAPH_ANALYSIS, | ||
| pylayout.HTML_ROW_GRAPH_CUMSUM, | ||
| pylayout.HTML_ROW_GRAPH_CONSISTENCY, | ||
| pylayout.HTML_ALERT_CONTRIBUTION, | ||
| pylayout.HTML_MADEBY, | ||
| pylayout.HTML_OTHER_PROJECTS, | ||
|
|
@@ -94,12 +94,13 @@ def callback_upload(content, filename, filedate, _): | |
| button_viz_outline = True | ||
|
|
||
| if dataframe is not None: | ||
| editable = [False] + [True] * len(dataframe.columns) | ||
| children = pylayoutfunc.create_table_layout( | ||
| dataframe, | ||
| "output-table", | ||
| filename=filename, | ||
| filedate=filedate, | ||
| editable=True, | ||
| editable=editable, | ||
| renamable=True, | ||
| ) | ||
| upload_disabled = False | ||
|
|
@@ -184,23 +185,40 @@ def callback_download_table(_, table_data, table_columns): | |
| prevent_initial_call=True, | ||
| ) | ||
| def callback_analyze(_, table_data, table_columns): | ||
| global SUMMARY_ALL | ||
|
|
||
| button_viz_analysis_disabled = True | ||
| button_viz_analysis_outline = True | ||
| row_button_download_analysis_style = {"visibility": "hidden"} | ||
|
|
||
| try: | ||
| dataframe = pyfunc.transform_to_dataframe(table_data, table_columns) | ||
| SUMMARY_ALL = pyfunc.generate_summary_all(dataframe, n_days=["16D", "MS", "YS"]) | ||
| tables = [ | ||
|
|
||
| # SUMMARY | ||
| summary_all = pyfunc.generate_summary_all(dataframe, n_days=["16D", "MS", "YS"]) | ||
| tables_summary = [ | ||
| pylayoutfunc.create_table_summary( | ||
| summary, f"table-analyze-{counter}", deletable=False | ||
| ) | ||
| for counter, summary in enumerate(SUMMARY_ALL) | ||
| for counter, summary in enumerate(summary_all) | ||
| ] | ||
|
|
||
| children = pylayoutfunc.create_tabcard_table_layout(tables) | ||
| # CUMUMLATIVE SUM | ||
| cumsum = pyfunc.calc_cumsum(dataframe) | ||
|
|
||
| _, table_cumsum = pylayoutfunc.create_table_layout( | ||
| cumsum, "table-cumsum", deletable=False | ||
| ) | ||
|
|
||
| table_cumsum = [table_cumsum] | ||
|
|
||
| # LAYOUT | ||
| tables_all = tables_summary + table_cumsum | ||
| tab_names = "Biweekly Monthly Yearly Cumulative".split() | ||
|
|
||
| children = pylayoutfunc.create_tabcard_table_layout( | ||
| tables_all, tab_names=tab_names | ||
| ) | ||
|
|
||
| button_viz_analysis_disabled = False | ||
| button_viz_analysis_outline = False | ||
| row_button_download_analysis_style = {"visibility": "visible"} | ||
|
|
@@ -218,51 +236,163 @@ def callback_analyze(_, table_data, table_columns): | |
| @app.callback( | ||
| Output("download-analysis-csv", "data"), | ||
| Input("button-download-analysis-csv", "n_clicks"), | ||
| State("table-analyze-0", "data"), | ||
| State("table-analyze-0", "columns"), | ||
| State("table-analyze-1", "data"), | ||
| State("table-analyze-1", "columns"), | ||
| State("table-analyze-2", "data"), | ||
| State("table-analyze-2", "columns"), | ||
| State("table-cumsum", "data"), | ||
| State("table-cumsum", "columns"), | ||
| prevent_initial_call=True, | ||
| ) | ||
| def callback_download_results(_): | ||
| def callback_download_results( | ||
| _, | ||
| biweekly_data, | ||
| biweekly_columns, | ||
| monthly_data, | ||
| monthly_columns, | ||
| yearly_data, | ||
| yearly_columns, | ||
| cumsum_data, | ||
| cumsum_columns, | ||
| ): | ||
|
|
||
| biweekly = (biweekly_data, biweekly_columns) | ||
| monthly = (monthly_data, monthly_columns) | ||
| yearly = (yearly_data, yearly_columns) | ||
|
|
||
| summary_all = [] | ||
| for period in (biweekly, monthly, yearly): | ||
| data, columns = period | ||
| dataframe = pyfunc.transform_to_dataframe( | ||
| data, | ||
| columns, | ||
| multiindex=True, | ||
| apply_numeric=False, | ||
| parse_dates=["max_date"], | ||
| ) | ||
| summary_all.append(dataframe) | ||
|
|
||
| dataframe = pd.concat(SUMMARY_ALL, axis=1, keys=["Biweekly", "Monthly", "Yearly"]) | ||
| return dcc.send_data_frame(dataframe.to_csv, "results.csv") | ||
| cumsum = pyfunc.transform_to_dataframe(cumsum_data, cumsum_columns) | ||
| stations = cumsum.columns.to_list() | ||
| cumsum.columns = pd.MultiIndex.from_product([stations, [""]]) | ||
|
|
||
| dataframe_all = pd.concat( | ||
| summary_all + [cumsum], | ||
| axis=1, | ||
| keys=["Biweekly", "Monthly", "Yearly", "Cumulative"], | ||
| ) | ||
|
|
||
| return dcc.send_data_frame(dataframe_all.to_csv, "results.csv") | ||
|
|
||
|
|
||
| @app.callback( | ||
| Output("tab-graph-analysis", "children"), | ||
| Output("tab-graph-cumsum", "children"), | ||
| Output("tab-graph-consistency", "children"), | ||
| Input("button-viz-analysis", "n_clicks"), | ||
| State("table-analyze-0", "data"), | ||
| State("table-analyze-0", "columns"), | ||
| State("table-analyze-1", "data"), | ||
| State("table-analyze-1", "columns"), | ||
| State("table-analyze-2", "data"), | ||
| State("table-analyze-2", "columns"), | ||
| State("table-cumsum", "data"), | ||
| State("table-cumsum", "columns"), | ||
| prevent_initial_call=True, | ||
| ) | ||
| def callback_troubleshoot(_): | ||
| def callback_graph_analysis( | ||
| _, | ||
| biweekly_data, | ||
| biweekly_columns, | ||
| monthly_data, | ||
| monthly_columns, | ||
| yearly_data, | ||
| yearly_columns, | ||
| cumsum_data, | ||
| cumsum_columns, | ||
| ): | ||
| from itertools import product | ||
|
|
||
| label_periods = ["Biweekly", "Monthly", "Yearly"] | ||
| label_maxsum = ["Max + Sum"] | ||
| label_raindry = ["Dry + Rain"] | ||
| label_ufunc = label_maxsum + label_raindry | ||
|
|
||
| biweekly = (biweekly_data, biweekly_columns) | ||
| monthly = (monthly_data, monthly_columns) | ||
| yearly = (yearly_data, yearly_columns) | ||
|
|
||
| summary_all = [] | ||
| for summary_period in (biweekly, monthly, yearly): | ||
| data, columns = summary_period | ||
| dataframe = pyfunc.transform_to_dataframe( | ||
| data, | ||
| columns, | ||
| multiindex=True, | ||
| apply_numeric=False, | ||
| parse_dates=["max_date"], | ||
| ) | ||
| summary_all.append(dataframe) | ||
|
|
||
| graphs_maxsum = [ | ||
| pyfigure.figure_summary_maxsum( | ||
| summary, | ||
| title=f"<b>{period}: {title}</b>", | ||
| period=period, | ||
| subplot_titles=["Max", "Sum"], | ||
| ) | ||
| for summary, title, period in zip(SUMMARY_ALL, label_maxsum * 3, label_periods) | ||
| for summary, title, period in zip(summary_all, label_maxsum * 3, label_periods) | ||
| ] | ||
| graphs_raindry = [ | ||
| pyfigure.figure_summary_raindry( | ||
| summary, title=f"<b>{period}: {title}</b>", period=period | ||
| ) | ||
| for summary, title, period in zip(SUMMARY_ALL, label_raindry * 3, label_periods) | ||
| for summary, title, period in zip(summary_all, label_raindry * 3, label_periods) | ||
| ] | ||
| graph_maxdate = [pyfigure.figure_summary_maxdate(SUMMARY_ALL)] | ||
| graph_maxdate = [pyfigure.figure_summary_maxdate(summary_all)] | ||
|
|
||
| all_graphs = graphs_maxsum + graphs_raindry + graph_maxdate | ||
| labels = [": ".join(i) for i in product(label_ufunc, label_periods)] | ||
| labels += ["Maximum Rainfall Events"] | ||
|
|
||
| children = pylayoutfunc.create_tabcard_graph_layout(all_graphs, labels) | ||
| children_analysis = pylayoutfunc.create_tabcard_graph_layout( | ||
| all_graphs, labels, active_tab="Maximum Rainfall Events" | ||
| ) | ||
|
|
||
| # CUMSUM | ||
|
|
||
| cumsum = pyfunc.transform_to_dataframe(cumsum_data, cumsum_columns) | ||
|
|
||
| graph_cumsum = [ | ||
| pyfigure.figure_cumsum_single(cumsum, col=station) for station in cumsum.columns | ||
| ] | ||
|
|
||
| children_cumsum = pylayoutfunc.create_tabcard_graph_layout( | ||
| graph_cumsum, cumsum.columns | ||
| ) | ||
|
|
||
| # CONSISTENCY | ||
|
|
||
| if cumsum.columns.size == 1: | ||
| children_consistency = ( | ||
| dcc.Graph( | ||
| figure=pyfigure.figure_empty(text="Not Available for Single Station"), | ||
| config={"staticPlot": True}, | ||
| ), | ||
| ) | ||
| else: | ||
| graph_consistency = [ | ||
| pyfigure.figure_consistency(cumsum, col=station) | ||
| for station in cumsum.columns | ||
| ] | ||
|
|
||
| children_consistency = pylayoutfunc.create_tabcard_graph_layout( | ||
| graph_consistency, cumsum.columns | ||
| ) | ||
|
|
||
| return children | ||
| return children_analysis, children_cumsum, children_consistency | ||
|
|
||
|
|
||
| @app.callback( | ||
|
|
||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.