From 6e4228ae9ba46bfee86b9c6754f076f7ae2d8269 Mon Sep 17 00:00:00 2001 From: elliotgunn Date: Thu, 2 Jun 2022 11:56:58 -0400 Subject: [PATCH] refactoring --- apps/dash-oil-and-gas/.gitignore | 103 --- apps/dash-oil-and-gas/README.md | 8 +- apps/dash-oil-and-gas/app.py | 682 +++--------------- apps/dash-oil-and-gas/assets/css/app.css | 61 ++ .../github}/animated1.gif | Bin .../github}/screenshot1.png | Bin .../github}/screenshot2.png | Bin .../github}/screenshot3.png | Bin .../assets/{ => images}/dash-logo.png | Bin .../assets/images/plotly-logo-light-theme.png | Bin 0 -> 30763 bytes .../{controls.py => constants.py} | 41 ++ apps/dash-oil-and-gas/data/points.pkl | Bin 0 -> 50913444 bytes apps/dash-oil-and-gas/gitignore | 191 +++++ .../{ => notebooks}/explore.ipynb | 0 apps/dash-oil-and-gas/requirements.txt | 6 +- apps/dash-oil-and-gas/runtime.txt | 1 + apps/dash-oil-and-gas/utils/components.py | 172 +++++ apps/dash-oil-and-gas/utils/data.py | 25 + apps/dash-oil-and-gas/utils/figures.py | 251 +++++++ .../utils/helper_functions.py | 83 +++ 20 files changed, 929 insertions(+), 695 deletions(-) delete mode 100644 apps/dash-oil-and-gas/.gitignore create mode 100644 apps/dash-oil-and-gas/assets/css/app.css rename apps/dash-oil-and-gas/{screenshots => assets/github}/animated1.gif (100%) rename apps/dash-oil-and-gas/{screenshots => assets/github}/screenshot1.png (100%) rename apps/dash-oil-and-gas/{screenshots => assets/github}/screenshot2.png (100%) rename apps/dash-oil-and-gas/{screenshots => assets/github}/screenshot3.png (100%) rename apps/dash-oil-and-gas/assets/{ => images}/dash-logo.png (100%) create mode 100644 apps/dash-oil-and-gas/assets/images/plotly-logo-light-theme.png rename apps/dash-oil-and-gas/{controls.py => constants.py} (74%) create mode 100644 apps/dash-oil-and-gas/data/points.pkl create mode 100644 apps/dash-oil-and-gas/gitignore rename apps/dash-oil-and-gas/{ => notebooks}/explore.ipynb (100%) create mode 100644 apps/dash-oil-and-gas/runtime.txt create mode 100644 apps/dash-oil-and-gas/utils/components.py create mode 100644 apps/dash-oil-and-gas/utils/data.py create mode 100644 apps/dash-oil-and-gas/utils/figures.py create mode 100644 apps/dash-oil-and-gas/utils/helper_functions.py diff --git a/apps/dash-oil-and-gas/.gitignore b/apps/dash-oil-and-gas/.gitignore deleted file mode 100644 index 80812c698..000000000 --- a/apps/dash-oil-and-gas/.gitignore +++ /dev/null @@ -1,103 +0,0 @@ -# Byte-compiled / optimized / DLL files -__pycache__/ -*.py[cod] -*$py.class - -# C extensions -*.so - -# Distribution / packaging -.Python -env/ -build/ -develop-eggs/ -dist/ -downloads/ -eggs/ -.eggs/ -lib/ -lib64/ -parts/ -sdist/ -var/ -wheels/ -*.egg-info/ -.installed.cfg -*.egg - -# PyInstaller -# Usually these files are written by a python script from a template -# before PyInstaller builds the exe, so as to inject date/other infos into it. -*.manifest -*.spec - -# Installer logs -pip-log.txt -pip-delete-this-directory.txt - -# Unit test / coverage reports -htmlcov/ -.tox/ -.coverage -.coverage.* -.cache -nosetests.xml -coverage.xml -*,cover -.hypothesis/ - -# Translations -*.mo -*.pot - -# Django stuff: -*.log -local_settings.py - -# Flask stuff: -instance/ -.webassets-cache - -# Scrapy stuff: -.scrapy - -# Sphinx documentation -doc/build/ - -# PyBuilder -target/ - -# Jupyter Notebook -.ipynb_checkpoints - -# pyenv -.python-version - -# celery beat schedule file -celerybeat-schedule - -# SageMath parsed files -*.sage.py - -# dotenv -.env - -# virtualenv -.venv -venv/ -ENV/ - -# Spyder project settings -.spyderproject - -# Rope project settings -.ropeproject - -# Added -unused/ -vv -.DS_Store -pyvenv.cfg -.vscode/ - -data/points.pkl \ No newline at end of file diff --git a/apps/dash-oil-and-gas/README.md b/apps/dash-oil-and-gas/README.md index d29b14970..0378a7de8 100644 --- a/apps/dash-oil-and-gas/README.md +++ b/apps/dash-oil-and-gas/README.md @@ -51,11 +51,11 @@ This Dash app displays oil production in western New York. There are filters at The following are screenshots for the app in this repo: -![animated1](screenshots/animated1.gif) +![animated1](assets/github/animated1.gif) -![screenshot](screenshots/screenshot1.png) +![screenshot](assets/github/screenshot1.png) -![screenshot](screenshots/screenshot2.png) +![screenshot](assets/github/screenshot2.png) -![screenshot](screenshots/screenshot3.png) +![screenshot](assets/github/screenshot3.png) diff --git a/apps/dash-oil-and-gas/app.py b/apps/dash-oil-and-gas/app.py index 4dcce7d65..655b73c82 100644 --- a/apps/dash-oil-and-gas/app.py +++ b/apps/dash-oil-and-gas/app.py @@ -1,86 +1,58 @@ -# Import required libraries -import pickle import copy -import pathlib -import urllib.request import dash import math import datetime as dt -import pandas as pd -from dash.dependencies import Input, Output, State, ClientsideFunction -import dash_core_components as dcc -import dash_html_components as html -# Multi-dropdown options -from controls import COUNTIES, WELL_STATUSES, WELL_TYPES, WELL_COLORS - - -# get relative data folder -PATH = pathlib.Path(__file__).parent -DATA_PATH = PATH.joinpath("data").resolve() - -app = dash.Dash( - __name__, meta_tags=[{"name": "viewport", "content": "width=device-width"}], +from dash import ( + Dash, + html, + dcc, + Input, + Output, + State, + callback, + callback_context, + ClientsideFunction, ) -app.title = "Oil & Gas Wells" -server = app.server -# Create controls -county_options = [ - {"label": str(COUNTIES[county]), "value": str(county)} for county in COUNTIES -] - -well_status_options = [ - {"label": str(WELL_STATUSES[well_status]), "value": str(well_status)} - for well_status in WELL_STATUSES -] - -well_type_options = [ - {"label": str(WELL_TYPES[well_type]), "value": str(well_type)} - for well_type in WELL_TYPES -] +# Multi-dropdown options +from constants import ( + WELL_STATUSES, + WELL_TYPES, +) +from utils.data import df -# Download pickle file -urllib.request.urlretrieve( - "https://raw.githubusercontent.com/plotly/datasets/master/dash-sample-apps/dash-oil-and-gas/data/points.pkl", - DATA_PATH.joinpath("points.pkl"), +from utils.figures import ( + make_main_figure, + make_individual_figure, + make_aggregate_figure, + make_pie_figure, + make_count_figure, +) +from utils.helper_functions import ( + human_format, + filter_dataframe, + produce_individual, + produce_aggregate, ) -points = pickle.load(open(DATA_PATH.joinpath("points.pkl"), "rb")) - -# Load data -df = pd.read_csv( - "https://github.com/plotly/datasets/raw/master/dash-sample-apps/dash-oil-and-gas/data/wellspublic.csv", - low_memory=False, +from utils.components import ( + header, + controls_card, + top_data_cards, + main_graph, + individual_graph, + pie_graph, + aggregate_graph, ) -df["Date_Well_Completed"] = pd.to_datetime(df["Date_Well_Completed"]) -df = df[df["Date_Well_Completed"] > dt.datetime(1960, 1, 1)] - -trim = df[["API_WellNo", "Well_Type", "Well_Name"]] -trim.index = trim["API_WellNo"] -dataset = trim.to_dict(orient="index") - - -# Create global chart template -mapbox_access_token = "pk.eyJ1IjoicGxvdGx5bWFwYm94IiwiYSI6ImNrOWJqb2F4djBnMjEzbG50amg0dnJieG4ifQ.Zme1-Uzoi75IaFbieBDl3A" - -layout = dict( - autosize=True, - automargin=True, - margin=dict(l=30, r=30, b=20, t=40), - hovermode="closest", - plot_bgcolor="#F9F9F9", - paper_bgcolor="#F9F9F9", - legend=dict(font=dict(size=10), orientation="h"), - title="Satellite Overview", - mapbox=dict( - accesstoken=mapbox_access_token, - style="light", - center=dict(lon=-78.05, lat=42.54), - zoom=7, - ), + +app = dash.Dash( + __name__, + meta_tags=[{"name": "viewport", "content": "width=device-width"}], ) +app.title = "Oil & Gas Wells" +server = app.server # Create app layout app.layout = html.Div( @@ -88,180 +60,27 @@ dcc.Store(id="aggregate_data"), # empty Div to trigger javascript file for graph resizing html.Div(id="output-clientside"), + # Header to be replaced + header(app, "black", "New York Oil and Gas", "Production Overview"), html.Div( [ - html.Div( - [ - html.Img( - src=app.get_asset_url("dash-logo.png"), - id="plotly-image", - style={ - "height": "60px", - "width": "auto", - "margin-bottom": "25px", - }, - ) - ], - className="one-third column", - ), - html.Div( - [ - html.Div( - [ - html.H3( - "New York Oil and Gas", - style={"margin-bottom": "0px"}, - ), - html.H5( - "Production Overview", style={"margin-top": "0px"} - ), - ] - ) - ], - className="one-half column", - id="title", - ), - html.Div( - [ - html.A( - html.Button("Learn More", id="learn-more-button"), - href="https://plot.ly/dash/pricing/", - ) - ], - className="one-third column", - id="button", - ), - ], - id="header", - className="row flex-display", - style={"margin-bottom": "25px"}, - ), - html.Div( - [ - html.Div( - [ - html.P( - "Filter by construction date (or select range in histogram):", - className="control_label", - ), - dcc.RangeSlider( - id="year_slider", - min=1960, - max=2017, - value=[1990, 2010], - className="dcc_control", - ), - html.P("Filter by well status:", className="control_label"), - dcc.RadioItems( - id="well_status_selector", - options=[ - {"label": "All ", "value": "all"}, - {"label": "Active only ", "value": "active"}, - {"label": "Customize ", "value": "custom"}, - ], - value="active", - labelStyle={"display": "inline-block"}, - className="dcc_control", - ), - dcc.Dropdown( - id="well_statuses", - options=well_status_options, - multi=True, - value=list(WELL_STATUSES.keys()), - className="dcc_control", - ), - dcc.Checklist( - id="lock_selector", - options=[{"label": "Lock camera", "value": "locked"}], - className="dcc_control", - value=[], - ), - html.P("Filter by well type:", className="control_label"), - dcc.RadioItems( - id="well_type_selector", - options=[ - {"label": "All ", "value": "all"}, - {"label": "Productive only ", "value": "productive"}, - {"label": "Customize ", "value": "custom"}, - ], - value="productive", - labelStyle={"display": "inline-block"}, - className="dcc_control", - ), - dcc.Dropdown( - id="well_types", - options=well_type_options, - multi=True, - value=list(WELL_TYPES.keys()), - className="dcc_control", - ), - ], - className="pretty_container four columns", - id="cross-filter-options", - ), - html.Div( - [ - html.Div( - [ - html.Div( - [html.H6(id="well_text"), html.P("No. of Wells")], - id="wells", - className="mini_container", - ), - html.Div( - [html.H6(id="gasText"), html.P("Gas")], - id="gas", - className="mini_container", - ), - html.Div( - [html.H6(id="oilText"), html.P("Oil")], - id="oil", - className="mini_container", - ), - html.Div( - [html.H6(id="waterText"), html.P("Water")], - id="water", - className="mini_container", - ), - ], - id="info-container", - className="row container-display", - ), - html.Div( - [dcc.Graph(id="count_graph")], - id="countGraphContainer", - className="pretty_container", - ), - ], - id="right-column", - className="eight columns", - ), + controls_card(), + # top data cards + top_data_cards(), ], className="row flex-display", ), html.Div( [ - html.Div( - [dcc.Graph(id="main_graph")], - className="pretty_container seven columns", - ), - html.Div( - [dcc.Graph(id="individual_graph")], - className="pretty_container five columns", - ), + main_graph(), + individual_graph(), ], className="row flex-display", ), html.Div( [ - html.Div( - [dcc.Graph(id="pie_graph")], - className="pretty_container seven columns", - ), - html.Div( - [dcc.Graph(id="aggregate_graph")], - className="pretty_container five columns", - ), + pie_graph(), + aggregate_graph(), ], className="row flex-display", ), @@ -270,88 +89,6 @@ style={"display": "flex", "flex-direction": "column"}, ) - -# Helper functions -def human_format(num): - if num == 0: - return "0" - - magnitude = int(math.log(num, 1000)) - mantissa = str(int(num / (1000 ** magnitude))) - return mantissa + ["", "K", "M", "G", "T", "P"][magnitude] - - -def filter_dataframe(df, well_statuses, well_types, year_slider): - dff = df[ - df["Well_Status"].isin(well_statuses) - & df["Well_Type"].isin(well_types) - & (df["Date_Well_Completed"] > dt.datetime(year_slider[0], 1, 1)) - & (df["Date_Well_Completed"] < dt.datetime(year_slider[1], 1, 1)) - ] - return dff - - -def produce_individual(api_well_num): - try: - points[api_well_num] - except: - return None, None, None, None - - index = list( - range(min(points[api_well_num].keys()), max(points[api_well_num].keys()) + 1) - ) - gas = [] - oil = [] - water = [] - - for year in index: - try: - gas.append(points[api_well_num][year]["Gas Produced, MCF"]) - except: - gas.append(0) - try: - oil.append(points[api_well_num][year]["Oil Produced, bbl"]) - except: - oil.append(0) - try: - water.append(points[api_well_num][year]["Water Produced, bbl"]) - except: - water.append(0) - - return index, gas, oil, water - - -def produce_aggregate(selected, year_slider): - - index = list(range(max(year_slider[0], 1985), 2016)) - gas = [] - oil = [] - water = [] - - for year in index: - count_gas = 0 - count_oil = 0 - count_water = 0 - for api_well_num in selected: - try: - count_gas += points[api_well_num][year]["Gas Produced, MCF"] - except: - pass - try: - count_oil += points[api_well_num][year]["Oil Produced, bbl"] - except: - pass - try: - count_water += points[api_well_num][year]["Water Produced, bbl"] - except: - pass - gas.append(count_gas) - oil.append(count_oil) - water.append(count_water) - - return index, gas, oil, water - - # Create callbacks app.clientside_callback( ClientsideFunction(namespace="clientside", function_name="resize"), @@ -360,13 +97,11 @@ def produce_aggregate(selected, year_slider): ) -@app.callback( +@callback( Output("aggregate_data", "data"), - [ - Input("well_statuses", "value"), - Input("well_types", "value"), - Input("year_slider", "value"), - ], + Input("well_statuses", "value"), + Input("well_types", "value"), + Input("year_slider", "value"), ) def update_production_text(well_statuses, well_types, year_slider): @@ -377,9 +112,7 @@ def update_production_text(well_statuses, well_types, year_slider): # Radio -> multi -@app.callback( - Output("well_statuses", "value"), [Input("well_status_selector", "value")] -) +@callback(Output("well_statuses", "value"), Input("well_status_selector", "value")) def display_status(selector): if selector == "all": return list(WELL_STATUSES.keys()) @@ -389,7 +122,7 @@ def display_status(selector): # Radio -> multi -@app.callback(Output("well_types", "value"), [Input("well_type_selector", "value")]) +@callback(Output("well_types", "value"), Input("well_type_selector", "value")) def display_type(selector): if selector == "all": return list(WELL_TYPES.keys()) @@ -399,7 +132,7 @@ def display_type(selector): # Slider -> count graph -@app.callback(Output("year_slider", "value"), [Input("count_graph", "selectedData")]) +@callback(Output("year_slider", "value"), Input("count_graph", "selectedData")) def update_year_slider(count_graph_selected): if count_graph_selected is None: @@ -410,7 +143,7 @@ def update_year_slider(count_graph_selected): # Selectors -> well text -@app.callback( +@callback( Output("well_text", "children"), [ Input("well_statuses", "value"), @@ -425,12 +158,10 @@ def update_well_text(well_statuses, well_types, year_slider): @app.callback( - [ - Output("gasText", "children"), - Output("oilText", "children"), - Output("waterText", "children"), - ], - [Input("aggregate_data", "data")], + Output("gasText", "children"), + Output("oilText", "children"), + Output("waterText", "children"), + Input("aggregate_data", "data"), ) def update_text(data): return data[0] + " mcf", data[1] + " bbl", data[2] + " bbl" @@ -439,282 +170,63 @@ def update_text(data): # Selectors -> main graph @app.callback( Output("main_graph", "figure"), - [ - Input("well_statuses", "value"), - Input("well_types", "value"), - Input("year_slider", "value"), - ], - [State("lock_selector", "value"), State("main_graph", "relayoutData")], + Input("well_statuses", "value"), + Input("well_types", "value"), + Input("year_slider", "value"), + State("lock_selector", "value"), + State("main_graph", "relayoutData"), ) -def make_main_figure( +def return_make_main_figure( well_statuses, well_types, year_slider, selector, main_graph_layout ): - dff = filter_dataframe(df, well_statuses, well_types, year_slider) - - traces = [] - for well_type, dfff in dff.groupby("Well_Type"): - trace = dict( - type="scattermapbox", - lon=dfff["Surface_Longitude"], - lat=dfff["Surface_latitude"], - text=dfff["Well_Name"], - customdata=dfff["API_WellNo"], - name=WELL_TYPES[well_type], - marker=dict(size=4, opacity=0.6), - ) - traces.append(trace) - - # relayoutData is None by default, and {'autosize': True} without relayout action - if main_graph_layout is not None and selector is not None and "locked" in selector: - if "mapbox.center" in main_graph_layout.keys(): - lon = float(main_graph_layout["mapbox.center"]["lon"]) - lat = float(main_graph_layout["mapbox.center"]["lat"]) - zoom = float(main_graph_layout["mapbox.zoom"]) - layout["mapbox"]["center"]["lon"] = lon - layout["mapbox"]["center"]["lat"] = lat - layout["mapbox"]["zoom"] = zoom - - figure = dict(data=traces, layout=layout) - return figure + return make_main_figure( + well_statuses, well_types, year_slider, selector, main_graph_layout + ) # Main graph -> individual graph -@app.callback(Output("individual_graph", "figure"), [Input("main_graph", "hoverData")]) -def make_individual_figure(main_graph_hover): - - layout_individual = copy.deepcopy(layout) - - if main_graph_hover is None: - main_graph_hover = { - "points": [ - {"curveNumber": 4, "pointNumber": 569, "customdata": 31101173130000} - ] - } - - chosen = [point["customdata"] for point in main_graph_hover["points"]] - index, gas, oil, water = produce_individual(chosen[0]) - - if index is None: - annotation = dict( - text="No data available", - x=0.5, - y=0.5, - align="center", - showarrow=False, - xref="paper", - yref="paper", - ) - layout_individual["annotations"] = [annotation] - data = [] - else: - data = [ - dict( - type="scatter", - mode="lines+markers", - name="Gas Produced (mcf)", - x=index, - y=gas, - line=dict(shape="spline", smoothing=2, width=1, color="#fac1b7"), - marker=dict(symbol="diamond-open"), - ), - dict( - type="scatter", - mode="lines+markers", - name="Oil Produced (bbl)", - x=index, - y=oil, - line=dict(shape="spline", smoothing=2, width=1, color="#a9bb95"), - marker=dict(symbol="diamond-open"), - ), - dict( - type="scatter", - mode="lines+markers", - name="Water Produced (bbl)", - x=index, - y=water, - line=dict(shape="spline", smoothing=2, width=1, color="#92d8d8"), - marker=dict(symbol="diamond-open"), - ), - ] - layout_individual["title"] = dataset[chosen[0]]["Well_Name"] - - figure = dict(data=data, layout=layout_individual) - return figure +@callback(Output("individual_graph", "figure"), Input("main_graph", "hoverData")) +def return_make_individual_figure(main_graph_hover): + return make_individual_figure(main_graph_hover) # Selectors, main graph -> aggregate graph @app.callback( Output("aggregate_graph", "figure"), - [ - Input("well_statuses", "value"), - Input("well_types", "value"), - Input("year_slider", "value"), - Input("main_graph", "hoverData"), - ], + Input("well_statuses", "value"), + Input("well_types", "value"), + Input("year_slider", "value"), + Input("main_graph", "hoverData"), ) -def make_aggregate_figure(well_statuses, well_types, year_slider, main_graph_hover): - - layout_aggregate = copy.deepcopy(layout) - - if main_graph_hover is None: - main_graph_hover = { - "points": [ - {"curveNumber": 4, "pointNumber": 569, "customdata": 31101173130000} - ] - } - - chosen = [point["customdata"] for point in main_graph_hover["points"]] - well_type = dataset[chosen[0]]["Well_Type"] - dff = filter_dataframe(df, well_statuses, well_types, year_slider) - - selected = dff[dff["Well_Type"] == well_type]["API_WellNo"].values - index, gas, oil, water = produce_aggregate(selected, year_slider) - - data = [ - dict( - type="scatter", - mode="lines", - name="Gas Produced (mcf)", - x=index, - y=gas, - line=dict(shape="spline", smoothing="2", color="#F9ADA0"), - ), - dict( - type="scatter", - mode="lines", - name="Oil Produced (bbl)", - x=index, - y=oil, - line=dict(shape="spline", smoothing="2", color="#849E68"), - ), - dict( - type="scatter", - mode="lines", - name="Water Produced (bbl)", - x=index, - y=water, - line=dict(shape="spline", smoothing="2", color="#59C3C3"), - ), - ] - layout_aggregate["title"] = "Aggregate: " + WELL_TYPES[well_type] - - figure = dict(data=data, layout=layout_aggregate) - return figure +def return_make_aggregate_figure( + well_statuses, well_types, year_slider, main_graph_hover +): + return make_aggregate_figure( + well_statuses, well_types, year_slider, main_graph_hover + ) # Selectors, main graph -> pie graph -@app.callback( +@callback( Output("pie_graph", "figure"), - [ - Input("well_statuses", "value"), - Input("well_types", "value"), - Input("year_slider", "value"), - ], + Input("well_statuses", "value"), + Input("well_types", "value"), + Input("year_slider", "value"), ) -def make_pie_figure(well_statuses, well_types, year_slider): - - layout_pie = copy.deepcopy(layout) - - dff = filter_dataframe(df, well_statuses, well_types, year_slider) - - selected = dff["API_WellNo"].values - index, gas, oil, water = produce_aggregate(selected, year_slider) - - aggregate = dff.groupby(["Well_Type"]).count() - - data = [ - dict( - type="pie", - labels=["Gas", "Oil", "Water"], - values=[sum(gas), sum(oil), sum(water)], - name="Production Breakdown", - text=[ - "Total Gas Produced (mcf)", - "Total Oil Produced (bbl)", - "Total Water Produced (bbl)", - ], - hoverinfo="text+value+percent", - textinfo="label+percent+name", - hole=0.5, - marker=dict(colors=["#fac1b7", "#a9bb95", "#92d8d8"]), - domain={"x": [0, 0.45], "y": [0.2, 0.8]}, - ), - dict( - type="pie", - labels=[WELL_TYPES[i] for i in aggregate.index], - values=aggregate["API_WellNo"], - name="Well Type Breakdown", - hoverinfo="label+text+value+percent", - textinfo="label+percent+name", - hole=0.5, - marker=dict(colors=[WELL_COLORS[i] for i in aggregate.index]), - domain={"x": [0.55, 1], "y": [0.2, 0.8]}, - ), - ] - layout_pie["title"] = "Production Summary: {} to {}".format( - year_slider[0], year_slider[1] - ) - layout_pie["font"] = dict(color="#777777") - layout_pie["legend"] = dict( - font=dict(color="#CCCCCC", size="10"), orientation="h", bgcolor="rgba(0,0,0,0)" - ) - - figure = dict(data=data, layout=layout_pie) - return figure +def return_make_pie_figure(well_statuses, well_types, year_slider): + return make_pie_figure(well_statuses, well_types, year_slider) # Selectors -> count graph -@app.callback( +@callback( Output("count_graph", "figure"), - [ - Input("well_statuses", "value"), - Input("well_types", "value"), - Input("year_slider", "value"), - ], + Input("well_statuses", "value"), + Input("well_types", "value"), + Input("year_slider", "value"), ) -def make_count_figure(well_statuses, well_types, year_slider): - - layout_count = copy.deepcopy(layout) - - dff = filter_dataframe(df, well_statuses, well_types, [1960, 2017]) - g = dff[["API_WellNo", "Date_Well_Completed"]] - g.index = g["Date_Well_Completed"] - g = g.resample("A").count() - - colors = [] - for i in range(1960, 2018): - if i >= int(year_slider[0]) and i < int(year_slider[1]): - colors.append("rgb(123, 199, 255)") - else: - colors.append("rgba(123, 199, 255, 0.2)") - - data = [ - dict( - type="scatter", - mode="markers", - x=g.index, - y=g["API_WellNo"] / 2, - name="All Wells", - opacity=0, - hoverinfo="skip", - ), - dict( - type="bar", - x=g.index, - y=g["API_WellNo"], - name="All Wells", - marker=dict(color=colors), - ), - ] - - layout_count["title"] = "Completed Wells/Year" - layout_count["dragmode"] = "select" - layout_count["showlegend"] = False - layout_count["autosize"] = True - - figure = dict(data=data, layout=layout_count) - return figure +def return_make_count_figure(well_statuses, well_types, year_slider): + return make_count_figure(well_statuses, well_types, year_slider) # Main diff --git a/apps/dash-oil-and-gas/assets/css/app.css b/apps/dash-oil-and-gas/assets/css/app.css new file mode 100644 index 000000000..8b3802ab0 --- /dev/null +++ b/apps/dash-oil-and-gas/assets/css/app.css @@ -0,0 +1,61 @@ +/* Header */ +.header { + height: 10vh; + display: flex; + padding-left: 2%; + padding-right: 2%; + font-family: playfair display, sans-serif; + font-weight: bold; +} + +.header .header-title { + font-size: 5vh; +} +.subheader-title { + font-size: 1.5vh; +} + +.header-logos { + margin-left: auto; +} +.header-logos img { + margin-left: 3vh !important; + max-height: 5vh; +} + + +/* Demo button css */ +.demo-button { + font-size: 1.5vh; + font-family: Open Sans, sans-serif; + text-decoration: none; + -webkit-align-items: center; + -webkit-box-align: center; + -ms-flex-align: center; + align-items: center; + border-radius: 8px; + font-weight: 700; + -webkit-padding-start: 1rem; + padding-inline-start: 1rem; + -webkit-padding-end: 1rem; + padding-inline-end: 1rem; + color: #ffffff; + letter-spacing: 1.5px; + border: solid 1.5px transparent; + box-shadow: 2px 1000px 1px #0c0c0c inset; + background-image: linear-gradient(135deg, #7A76FF, #7A76FF, #7FE4FF); + -webkit-background-size: 200% 100%; + background-size: 200% 100%; + -webkit-background-position: 99%; + background-position: 99%; + background-origin: border-box; + transition: all .4s ease-in-out; + padding-top: 1vh; + padding-bottom: 1vh; + vertical-align: super; +} + +.demo-button:hover { + color: #7A76FF; + background-position: 0%; +} \ No newline at end of file diff --git a/apps/dash-oil-and-gas/screenshots/animated1.gif b/apps/dash-oil-and-gas/assets/github/animated1.gif similarity index 100% rename from apps/dash-oil-and-gas/screenshots/animated1.gif rename to apps/dash-oil-and-gas/assets/github/animated1.gif 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PATH.joinpath("data").resolve() + # flake8: noqa # In[]: @@ -143,3 +149,38 @@ TH="#EAE5D9", UN="#C29A84", ) + +# Create controls +county_options = [ + {"label": str(COUNTIES[county]), "value": str(county)} for county in COUNTIES +] + +well_status_options = [ + {"label": str(WELL_STATUSES[well_status]), "value": str(well_status)} + for well_status in WELL_STATUSES +] + +well_type_options = [ + {"label": str(WELL_TYPES[well_type]), "value": str(well_type)} + for well_type in WELL_TYPES +] + +# Create global chart template +mapbox_access_token = "pk.eyJ1IjoicGxvdGx5bWFwYm94IiwiYSI6ImNrOWJqb2F4djBnMjEzbG50amg0dnJieG4ifQ.Zme1-Uzoi75IaFbieBDl3A" + +layout = dict( + autosize=True, + automargin=True, + margin=dict(l=30, r=30, b=20, t=40), + hovermode="closest", + plot_bgcolor="#F9F9F9", + paper_bgcolor="#F9F9F9", + legend=dict(font=dict(size=10), orientation="h"), + title="Satellite Overview", + mapbox=dict( + accesstoken=mapbox_access_token, + style="light", + center=dict(lon=-78.05, lat=42.54), + zoom=7, + ), +) diff --git a/apps/dash-oil-and-gas/data/points.pkl b/apps/dash-oil-and-gas/data/points.pkl new file mode 100644 index 0000000000000000000000000000000000000000..2318791dac8915503fecd639556a82a376f2c4be GIT binary patch literal 50913444 zcmZVHd)!R*`o{669YP2pgb+dqA>=TG5Mn|ULWn}vilR&*O;JiErK8SAMMs_KNFfwS zkqYTdrF7oc{jr|)`mXiee_XHq>wf>5Ypp$I?pe=z#*9OAK|%dX2Q{+6F@wtJ-<};k>B4aGxQXZ096WkN7}RuVuX{2< zt$a{B8yq`D|5yjVq441AO}A;1 z4^GGiO~<+q-9-=GEFUz_1}8=j{ZZjVx5x)Avq7s|aFYMft@A;fY|z$w=#%q7yKKphq_7 znF~%!w#rP(1ikV>?`+V=Yjt`)=$j4td9AYf;EZh0Khdh4S`Ekt1GB-IQK|KX4?QR! z49*5;<$|-54_z=e6AZ}*L$kp!@1f7h2g9?$2=Ads=7V#y!KlPTXY|mc^TC*Ga9;G# z>k1!wY(5y54bIO67o;9qPvP`Cw8u2)u_5^T9>gU~=N2TkD~xG>d+4KDW{`iguoBOA>09(q37*IYOR~X}-a|i?50++w zW!^(Soe!SL2G1rQdWatSxqR?^Hh3X==q-g0y*wYhmlfhyF4je3cD$CLVgM9(q?k*qsf&jvo5c!iV0I z55CC;-{ykvk`G7TNw`}lx z^w6IbKJV| z_l;)KJ(;j5pcvpVW#P+y-&*^5*$;~YN&reKbK&92=q=!_sCiflRT@Nq9(Lm}QGpqzS3Q*aAdqib*L{$J)0Y@vNll*pJ)oRSEGq0h{g~uqp 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