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dashboard.py
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from dash import Dash, html, dcc
import dash_bootstrap_components as dbc
import pandas as pd
external_stylesheets = [dbc.themes.SANDSTONE]
app = Dash(__name__, title="Realtime bridge amplification", external_stylesheets=external_stylesheets)
df_exp_1 = pd.read_csv("exp_1.csv")
df_exp_2 = pd.read_csv("exp_2.csv")
df_exp_3 = pd.read_csv("exp_3.csv")
df_exp_4 = pd.read_csv("exp_4.csv")
df_exp_5 = pd.read_csv("exp_5.csv")
df_exp_6 = pd.read_csv("exp_6.csv")
df_exp_7 = pd.read_csv("exp_7.csv")
df_exp_8 = pd.read_csv("exp_8.csv")
df_exp_9 = pd.read_csv("exp_9.csv")
df_exp_11 = pd.read_csv("exp_11.csv")
df_exp_12 = pd.read_csv("exp_12.csv")
df_exp_13 = pd.read_csv("exp_13.csv")
df_exp_14 = pd.read_csv("exp_14.csv")
df_exp_15 = pd.read_csv("exp_15.csv")
df_exp_16 = pd.read_csv("exp_16.csv")
df_exp_17 = pd.read_csv("exp_17.csv")
df_exp_18 = pd.read_csv("exp_18.csv")
df_exp_19 = pd.read_csv("exp_19.csv")
df_exp_20 = pd.read_csv("exp_20.csv")
df = pd.concat(
[
df_exp_1,
df_exp_2,
df_exp_3,
df_exp_4,
df_exp_5,
df_exp_6,
df_exp_7,
df_exp_8,
df_exp_9,
df_exp_11,
df_exp_12,
df_exp_13,
df_exp_14,
df_exp_15,
df_exp_16,
df_exp_17,
df_exp_18,
df_exp_19,
df_exp_20,
],
ignore_index=True,
)
app.layout = dbc.Container(
[
html.H1("Мостиковая амплификация в реальном времени", className="text-primary text-center fs-3"),
dcc.Graph(
id="raw-data-graph",
figure={
"data": [
# {'x': df[df['experiment'] == 'exp_1']['cycles'],
# 'y': df[df['experiment'] == 'exp_1']['top_mean_values'], 'type': 'line', 'name': 'exp_1_top'},
# {'x': df[df['experiment'] == 'exp_1']['cycles'],
# 'y': df[df['experiment'] == 'exp_1']['bottom_mean_values'], 'type': 'line', 'name': 'exp_1_bottom'},
{
"x": df[df["experiment"] == "exp_2"]["cycles"],
"y": df[df["experiment"] == "exp_2"]["top_mean_values"],
"type": "line",
"name": "exp_2_top",
},
{
"x": df[df["experiment"] == "exp_2"]["cycles"],
"y": df[df["experiment"] == "exp_2"]["bottom_mean_values"],
"type": "line",
"name": "exp_2_bottom",
},
# {'x': df[df['experiment'] == 'exp_3']['cycles'],
# 'y': df[df['experiment'] == 'exp_3']['top_mean_values'], 'type': 'line', 'name': 'exp_3_top'},
# {'x': df[df['experiment'] == 'exp_3']['cycles'],
# 'y': df[df['experiment'] == 'exp_3']['bottom_mean_values'], 'type': 'line', 'name': 'exp_3_bottom'},
# {'x': df[df['experiment'] == 'exp_4']['cycles'],
# 'y': df[df['experiment'] == 'exp_4']['top_mean_values'], 'type': 'line', 'name': 'exp_4_top'},
# {'x': df[df['experiment'] == 'exp_4']['cycles'],
# 'y': df[df['experiment'] == 'exp_4']['bottom_mean_values'], 'type': 'line', 'name': 'exp_4_bottom'},
{
"x": df[df["experiment"] == "exp_5"]["cycles"],
"y": df[df["experiment"] == "exp_5"]["top_mean_values"],
"type": "line",
"name": "exp_5_top",
},
{
"x": df[df["experiment"] == "exp_5"]["cycles"],
"y": df[df["experiment"] == "exp_5"]["bottom_mean_values"],
"type": "line",
"name": "exp_5_bottom",
},
{
"x": df[df["experiment"] == "exp_6"]["cycles"],
"y": df[df["experiment"] == "exp_6"]["top_mean_values"],
"type": "line",
"name": "exp_6_top",
},
{
"x": df[df["experiment"] == "exp_6"]["cycles"],
"y": df[df["experiment"] == "exp_6"]["bottom_mean_values"],
"type": "line",
"name": "exp_6_bottom",
},
{'x': df[df['experiment'] == 'exp_7']['cycles'],
'y': df[df['experiment'] == 'exp_7']['top_mean_values'], 'type': 'line', 'name': 'exp_7_top'},
{'x': df[df['experiment'] == 'exp_7']['cycles'],
'y': df[df['experiment'] == 'exp_7']['bottom_mean_values'], 'type': 'line',
'name': 'exp_7_bottom'},
{
"x": df[df["experiment"] == "exp_8"]["cycles"],
"y": df[df["experiment"] == "exp_8"]["top_mean_values"],
"type": "line",
"name": "exp_8_top",
},
{
"x": df[df["experiment"] == "exp_8"]["cycles"],
"y": df[df["experiment"] == "exp_8"]["bottom_mean_values"],
"type": "line",
"name": "exp_8_bottom",
},
{
"x": df[df["experiment"] == "exp_9"]["cycles"],
"y": df[df["experiment"] == "exp_9"]["top_mean_values"],
"type": "line",
"name": "exp_9_top",
},
{
"x": df[df["experiment"] == "exp_9"]["cycles"],
"y": df[df["experiment"] == "exp_9"]["bottom_mean_values"],
"type": "line",
"name": "exp_9_bottom",
},
{
"x": df[df["experiment"] == "exp_11"]["cycles"],
"y": df[df["experiment"] == "exp_11"]["top_mean_values"],
"type": "line",
"name": "exp_11_top",
},
{
"x": df[df["experiment"] == "exp_11"]["cycles"],
"y": df[df["experiment"] == "exp_11"]["bottom_mean_values"],
"type": "line",
"name": "exp_11_bottom",
},
{
"x": df[df["experiment"] == "exp_12"]["cycles"],
"y": df[df["experiment"] == "exp_12"]["top_mean_values"],
"type": "line",
"name": "exp_12_top",
},
{
"x": df[df["experiment"] == "exp_12"]["cycles"],
"y": df[df["experiment"] == "exp_12"]["bottom_mean_values"],
"type": "line",
"name": "exp_12_bottom",
},
{
"x": df[df["experiment"] == "exp_13"]["cycles"],
"y": df[df["experiment"] == "exp_13"]["top_mean_values"],
"type": "line",
"name": "exp_13_top",
},
{
"x": df[df["experiment"] == "exp_13"]["cycles"],
"y": df[df["experiment"] == "exp_13"]["bottom_mean_values"],
"type": "line",
"name": "exp_13_bottom",
},
{
"x": df[df["experiment"] == "exp_14"]["cycles"],
"y": df[df["experiment"] == "exp_14"]["top_mean_values"],
"type": "line",
"name": "exp_14_top",
},
{
"x": df[df["experiment"] == "exp_14"]["cycles"],
"y": df[df["experiment"] == "exp_14"]["bottom_mean_values"],
"type": "line",
"name": "exp_14_bottom",
},
{
"x": df[df["experiment"] == "exp_15"]["cycles"],
"y": df[df["experiment"] == "exp_15"]["top_mean_values"],
"type": "line",
"name": "exp_15_top",
},
{
"x": df[df["experiment"] == "exp_15"]["cycles"],
"y": df[df["experiment"] == "exp_15"]["bottom_mean_values"],
"type": "line",
"name": "exp_15_bottom",
},
{
"x": df[df["experiment"] == "exp_16"]["cycles"],
"y": df[df["experiment"] == "exp_16"]["top_mean_values"],
"type": "line",
"name": "exp_16_top",
},
{
"x": df[df["experiment"] == "exp_16"]["cycles"],
"y": df[df["experiment"] == "exp_16"]["bottom_mean_values"],
"type": "line",
"name": "exp_16_bottom",
},
{
"x": df[df["experiment"] == "exp_17"]["cycles"],
"y": df[df["experiment"] == "exp_17"]["top_mean_values"],
"type": "line",
"name": "exp_17_top",
},
{
"x": df[df["experiment"] == "exp_17"]["cycles"],
"y": df[df["experiment"] == "exp_17"]["bottom_mean_values"],
"type": "line",
"name": "exp_17_bottom",
},
{
"x": df[df["experiment"] == "exp_18"]["cycles"],
"y": df[df["experiment"] == "exp_18"]["top_mean_values"],
"type": "line",
"name": "exp_18_top",
},
{
"x": df[df["experiment"] == "exp_18"]["cycles"],
"y": df[df["experiment"] == "exp_18"]["bottom_mean_values"],
"type": "line",
"name": "exp_18_bottom",
},
{
"x": df[df["experiment"] == "exp_19"]["cycles"],
"y": df[df["experiment"] == "exp_19"]["top_mean_values"],
"type": "line",
"name": "exp_19_top",
},
{
"x": df[df["experiment"] == "exp_19"]["cycles"],
"y": df[df["experiment"] == "exp_19"]["bottom_mean_values"],
"type": "line",
"name": "exp_19_bottom",
},
{
"x": df[df["experiment"] == "exp_20"]["cycles"],
"y": df[df["experiment"] == "exp_20"]["top_mean_values"],
"type": "line",
"name": "exp_20_top",
},
{
"x": df[df["experiment"] == "exp_20"]["cycles"],
"y": df[df["experiment"] == "exp_20"]["bottom_mean_values"],
"type": "line",
"name": "exp_20_bottom",
},
],
"layout": {
"title": "Raw Mean Values vs Cycles",
"xaxis": {"title": "Cycles"},
"yaxis": {"title": "Top Mean Values"},
"hovermode": "x unified",
},
},
),
dcc.Graph(
id="interpolated-data-graph",
figure={
"data": [
# {'x': df[df['experiment'] == 'exp_1']['cycles'],
# 'y': df[df['experiment'] == 'exp_1']['top_mean_values_approximated'], 'type': 'line',
# 'name': 'exp_1_top'},
# {'x': df[df['experiment'] == 'exp_1']['cycles'],
# 'y': df[df['experiment'] == 'exp_1']['bottom_mean_values_approximated'], 'type': 'line',
# 'name': 'exp_1_bottom'},
{
"x": df[df["experiment"] == "exp_2"]["cycles"],
"y": df[df["experiment"] == "exp_2"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_2_top",
},
{
"x": df[df["experiment"] == "exp_2"]["cycles"],
"y": df[df["experiment"] == "exp_2"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_2_bottom",
},
# {'x': df[df['experiment'] == 'exp_3']['cycles'],
# 'y': df[df['experiment'] == 'exp_3']['top_mean_values_approximated'], 'type': 'line',
# 'name': 'exp_3_top'},
# {'x': df[df['experiment'] == 'exp_3']['cycles'],
# 'y': df[df['experiment'] == 'exp_3']['bottom_mean_values_approximated'], 'type': 'line',
# 'name': 'exp_3_bottom'},
# {'x': df[df['experiment'] == 'exp_4']['cycles'],
# 'y': df[df['experiment'] == 'exp_4']['top_mean_values_approximated'], 'type': 'line',
# 'name': 'exp_4_top'},
# {'x': df[df['experiment'] == 'exp_4']['cycles'],
# 'y': df[df['experiment'] == 'exp_4']['bottom_mean_values_approximated'], 'type': 'line',
# 'name': 'exp_4_bottom'},
{
"x": df[df["experiment"] == "exp_5"]["cycles"],
"y": df[df["experiment"] == "exp_5"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_5_top",
},
{
"x": df[df["experiment"] == "exp_5"]["cycles"],
"y": df[df["experiment"] == "exp_5"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_5_bottom",
},
{
"x": df[df["experiment"] == "exp_6"]["cycles"],
"y": df[df["experiment"] == "exp_6"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_6_top",
},
{
"x": df[df["experiment"] == "exp_6"]["cycles"],
"y": df[df["experiment"] == "exp_6"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_6_bottom",
},
{'x': df[df['experiment'] == 'exp_7']['cycles'],
'y': df[df['experiment'] == 'exp_7']['top_mean_values_approximated'], 'type': 'line',
'name': 'exp_7_top'},
{'x': df[df['experiment'] == 'exp_7']['cycles'],
'y': df[df['experiment'] == 'exp_7']['bottom_mean_values_approximated'], 'type': 'line',
'name': 'exp_7_bottom'},
{
"x": df[df["experiment"] == "exp_8"]["cycles"],
"y": df[df["experiment"] == "exp_8"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_8_top",
},
{
"x": df[df["experiment"] == "exp_8"]["cycles"],
"y": df[df["experiment"] == "exp_8"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_8_bottom",
},
{
"x": df[df["experiment"] == "exp_9"]["cycles"],
"y": df[df["experiment"] == "exp_9"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_9_top",
},
{
"x": df[df["experiment"] == "exp_9"]["cycles"],
"y": df[df["experiment"] == "exp_9"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_9_bottom",
},
{
"x": df[df["experiment"] == "exp_11"]["cycles"],
"y": df[df["experiment"] == "exp_11"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_11_top",
},
{
"x": df[df["experiment"] == "exp_11"]["cycles"],
"y": df[df["experiment"] == "exp_11"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_11_bottom",
},
{
"x": df[df["experiment"] == "exp_12"]["cycles"],
"y": df[df["experiment"] == "exp_12"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_12_top",
},
{
"x": df[df["experiment"] == "exp_12"]["cycles"],
"y": df[df["experiment"] == "exp_12"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_12_bottom",
},
{
"x": df[df["experiment"] == "exp_13"]["cycles"],
"y": df[df["experiment"] == "exp_13"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_13_top",
},
{
"x": df[df["experiment"] == "exp_13"]["cycles"],
"y": df[df["experiment"] == "exp_13"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_13_bottom",
},
{
"x": df[df["experiment"] == "exp_14"]["cycles"],
"y": df[df["experiment"] == "exp_14"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_14_top",
},
{
"x": df[df["experiment"] == "exp_14"]["cycles"],
"y": df[df["experiment"] == "exp_14"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_14_bottom",
},
{
"x": df[df["experiment"] == "exp_15"]["cycles"],
"y": df[df["experiment"] == "exp_15"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_15_top",
},
{
"x": df[df["experiment"] == "exp_15"]["cycles"],
"y": df[df["experiment"] == "exp_15"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_15_bottom",
},
{
"x": df[df["experiment"] == "exp_16"]["cycles"],
"y": df[df["experiment"] == "exp_16"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_16_top",
},
{
"x": df[df["experiment"] == "exp_16"]["cycles"],
"y": df[df["experiment"] == "exp_16"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_16_bottom",
},
{
"x": df[df["experiment"] == "exp_17"]["cycles"],
"y": df[df["experiment"] == "exp_17"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_17_top",
},
{
"x": df[df["experiment"] == "exp_17"]["cycles"],
"y": df[df["experiment"] == "exp_17"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_17_bottom",
},
{
"x": df[df["experiment"] == "exp_18"]["cycles"],
"y": df[df["experiment"] == "exp_18"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_18_top",
},
{
"x": df[df["experiment"] == "exp_18"]["cycles"],
"y": df[df["experiment"] == "exp_18"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_18_bottom",
},
{
"x": df[df["experiment"] == "exp_19"]["cycles"],
"y": df[df["experiment"] == "exp_19"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_19_top",
},
{
"x": df[df["experiment"] == "exp_19"]["cycles"],
"y": df[df["experiment"] == "exp_19"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_19_bottom",
},
{
"x": df[df["experiment"] == "exp_20"]["cycles"],
"y": df[df["experiment"] == "exp_20"]["top_mean_values_approximated"],
"type": "line",
"name": "exp_20_top",
},
{
"x": df[df["experiment"] == "exp_20"]["cycles"],
"y": df[df["experiment"] == "exp_20"]["bottom_mean_values_approximated"],
"type": "line",
"name": "exp_20_bottom",
},
],
"layout": {
"title": "Interpolated Mean Values vs Cycles",
"xaxis": {"title": "Cycles"},
"yaxis": {"title": "Interpolated Mean Values"},
"hovermode": "x unified",
},
},
),
dcc.Graph(
id="raw-data-gradient-graph",
figure={
"data": [
# {'x': df[df['experiment'] == 'exp_1']['cycles'],
# 'y': df[df['experiment'] == 'exp_1']['top_gradient'], 'type': 'line', 'name': 'exp_1_top'},
# {'x': df[df['experiment'] == 'exp_1']['cycles'],
# 'y': df[df['experiment'] == 'exp_1']['bottom_gradient'], 'type': 'line', 'name': 'exp_1_bottom'},
{
"x": df[df["experiment"] == "exp_2"]["cycles"],
"y": df[df["experiment"] == "exp_2"]["top_gradient"],
"type": "line",
"name": "exp_2_top",
},
{
"x": df[df["experiment"] == "exp_2"]["cycles"],
"y": df[df["experiment"] == "exp_2"]["bottom_gradient"],
"type": "line",
"name": "exp_2_bottom",
},
# {'x': df[df['experiment'] == 'exp_3']['cycles'],
# 'y': df[df['experiment'] == 'exp_3']['top_gradient'], 'type': 'line', 'name': 'exp_3_top'},
# {'x': df[df['experiment'] == 'exp_3']['cycles'],
# 'y': df[df['experiment'] == 'exp_3']['bottom_gradient'], 'type': 'line', 'name': 'exp_3_bottom'},
# {'x': df[df['experiment'] == 'exp_4']['cycles'],
# 'y': df[df['experiment'] == 'exp_4']['top_gradient'], 'type': 'line', 'name': 'exp_4_top'},
# {'x': df[df['experiment'] == 'exp_4']['cycles'],
# 'y': df[df['experiment'] == 'exp_4']['bottom_gradient'], 'type': 'line', 'name': 'exp_4_bottom'},
{
"x": df[df["experiment"] == "exp_5"]["cycles"],
"y": df[df["experiment"] == "exp_5"]["top_gradient"],
"type": "line",
"name": "exp_5_top",
},
{
"x": df[df["experiment"] == "exp_5"]["cycles"],
"y": df[df["experiment"] == "exp_5"]["bottom_gradient"],
"type": "line",
"name": "exp_5_bottom",
},
{
"x": df[df["experiment"] == "exp_6"]["cycles"],
"y": df[df["experiment"] == "exp_6"]["top_gradient"],
"type": "line",
"name": "exp_6_top",
},
{
"x": df[df["experiment"] == "exp_6"]["cycles"],
"y": df[df["experiment"] == "exp_6"]["bottom_gradient"],
"type": "line",
"name": "exp_6_bottom",
},
{'x': df[df['experiment'] == 'exp_7']['cycles'],
'y': df[df['experiment'] == 'exp_7']['top_gradient'], 'type': 'line', 'name': 'exp_7_top'},
{'x': df[df['experiment'] == 'exp_7']['cycles'],
'y': df[df['experiment'] == 'exp_7']['bottom_gradient'], 'type': 'line', 'name': 'exp_7_bottom'},
{
"x": df[df["experiment"] == "exp_8"]["cycles"],
"y": df[df["experiment"] == "exp_8"]["top_gradient"],
"type": "line",
"name": "exp_8_top",
},
{
"x": df[df["experiment"] == "exp_8"]["cycles"],
"y": df[df["experiment"] == "exp_8"]["bottom_gradient"],
"type": "line",
"name": "exp_8_bottom",
},
{
"x": df[df["experiment"] == "exp_9"]["cycles"],
"y": df[df["experiment"] == "exp_9"]["top_gradient"],
"type": "line",
"name": "exp_9_top",
},
{
"x": df[df["experiment"] == "exp_9"]["cycles"],
"y": df[df["experiment"] == "exp_9"]["bottom_gradient"],
"type": "line",
"name": "exp_9_bottom",
},
{
"x": df[df["experiment"] == "exp_11"]["cycles"],
"y": df[df["experiment"] == "exp_11"]["top_gradient"],
"type": "line",
"name": "exp_11_top",
},
{
"x": df[df["experiment"] == "exp_11"]["cycles"],
"y": df[df["experiment"] == "exp_11"]["bottom_gradient"],
"type": "line",
"name": "exp_11_bottom",
},
{
"x": df[df["experiment"] == "exp_12"]["cycles"],
"y": df[df["experiment"] == "exp_12"]["top_gradient"],
"type": "line",
"name": "exp_12_top",
},
{
"x": df[df["experiment"] == "exp_12"]["cycles"],
"y": df[df["experiment"] == "exp_12"]["bottom_gradient"],
"type": "line",
"name": "exp_12_bottom",
},
{
"x": df[df["experiment"] == "exp_13"]["cycles"],
"y": df[df["experiment"] == "exp_13"]["top_gradient"],
"type": "line",
"name": "exp_13_top",
},
{
"x": df[df["experiment"] == "exp_13"]["cycles"],
"y": df[df["experiment"] == "exp_13"]["bottom_gradient"],
"type": "line",
"name": "exp_13_bottom",
},
{
"x": df[df["experiment"] == "exp_14"]["cycles"],
"y": df[df["experiment"] == "exp_14"]["top_gradient"],
"type": "line",
"name": "exp_14_top",
},
{
"x": df[df["experiment"] == "exp_14"]["cycles"],
"y": df[df["experiment"] == "exp_14"]["bottom_gradient"],
"type": "line",
"name": "exp_14_bottom",
},
{
"x": df[df["experiment"] == "exp_15"]["cycles"],
"y": df[df["experiment"] == "exp_15"]["top_gradient"],
"type": "line",
"name": "exp_15_top",
},
{
"x": df[df["experiment"] == "exp_15"]["cycles"],
"y": df[df["experiment"] == "exp_15"]["bottom_gradient"],
"type": "line",
"name": "exp_15_bottom",
},
{
"x": df[df["experiment"] == "exp_16"]["cycles"],
"y": df[df["experiment"] == "exp_16"]["top_gradient"],
"type": "line",
"name": "exp_16_top",
},
{
"x": df[df["experiment"] == "exp_16"]["cycles"],
"y": df[df["experiment"] == "exp_16"]["bottom_gradient"],
"type": "line",
"name": "exp_16_bottom",
},
{
"x": df[df["experiment"] == "exp_17"]["cycles"],
"y": df[df["experiment"] == "exp_17"]["top_gradient"],
"type": "line",
"name": "exp_17_top",
},
{
"x": df[df["experiment"] == "exp_17"]["cycles"],
"y": df[df["experiment"] == "exp_17"]["bottom_gradient"],
"type": "line",
"name": "exp_17_bottom",
},
{
"x": df[df["experiment"] == "exp_18"]["cycles"],
"y": df[df["experiment"] == "exp_18"]["top_gradient"],
"type": "line",
"name": "exp_18_top",
},
{
"x": df[df["experiment"] == "exp_18"]["cycles"],
"y": df[df["experiment"] == "exp_18"]["bottom_gradient"],
"type": "line",
"name": "exp_18_bottom",
},
{
"x": df[df["experiment"] == "exp_19"]["cycles"],
"y": df[df["experiment"] == "exp_19"]["top_gradient"],
"type": "line",
"name": "exp_19_top",
},
{
"x": df[df["experiment"] == "exp_19"]["cycles"],
"y": df[df["experiment"] == "exp_19"]["bottom_gradient"],
"type": "line",
"name": "exp_19_bottom",
},
{
"x": df[df["experiment"] == "exp_20"]["cycles"],
"y": df[df["experiment"] == "exp_20"]["top_gradient"],
"type": "line",
"name": "exp_20_top",
},
{
"x": df[df["experiment"] == "exp_20"]["cycles"],
"y": df[df["experiment"] == "exp_20"]["bottom_gradient"],
"type": "line",
"name": "exp_20_bottom",
},
],
"layout": {
"title": "Mean Values Gragient vs Cycles",
"xaxis": {"title": "Cycles"},
"yaxis": {"title": "Bottom Mean Values"},
"hovermode": "x unified",
},
},
),
dcc.Graph(
id="interpolated-gradient-graph",
figure={
"data": [
# {'x': df[df['experiment'] == 'exp_1']['cycles'],
# 'y': df[df['experiment'] == 'exp_1']['top_approximated_gradient'], 'type': 'line',
# 'name': 'exp_1_top'},
# {'x': df[df['experiment'] == 'exp_1']['cycles'],
# 'y': df[df['experiment'] == 'exp_1']['bottom_approximated_gradient'], 'type': 'line',
# 'name': 'exp_1_bottom'},
{
"x": df[df["experiment"] == "exp_2"]["cycles"],
"y": df[df["experiment"] == "exp_2"]["top_approximated_gradient"],
"type": "line",
"name": "exp_2_top",
},
{
"x": df[df["experiment"] == "exp_2"]["cycles"],
"y": df[df["experiment"] == "exp_2"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_2_bottom",
},
# {'x': df[df['experiment'] == 'exp_3']['cycles'],
# 'y': df[df['experiment'] == 'exp_3']['top_approximated_gradient'], 'type': 'line',
# 'name': 'exp_3_top'},
# {'x': df[df['experiment'] == 'exp_3']['cycles'],
# 'y': df[df['experiment'] == 'exp_3']['bottom_approximated_gradient'], 'type': 'line',
# 'name': 'exp_3_bottom'},
# {'x': df[df['experiment'] == 'exp_4']['cycles'],
# 'y': df[df['experiment'] == 'exp_4']['top_approximated_gradient'], 'type': 'line',
# 'name': 'exp_4_top'},
# {'x': df[df['experiment'] == 'exp_4']['cycles'],
# 'y': df[df['experiment'] == 'exp_4']['bottom_approximated_gradient'], 'type': 'line',
# 'name': 'exp_4_bottom'},
{
"x": df[df["experiment"] == "exp_5"]["cycles"],
"y": df[df["experiment"] == "exp_5"]["top_approximated_gradient"],
"type": "line",
"name": "exp_5_top",
},
{
"x": df[df["experiment"] == "exp_5"]["cycles"],
"y": df[df["experiment"] == "exp_5"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_5_bottom",
},
{
"x": df[df["experiment"] == "exp_6"]["cycles"],
"y": df[df["experiment"] == "exp_6"]["top_approximated_gradient"],
"type": "line",
"name": "exp_6_top",
},
{
"x": df[df["experiment"] == "exp_6"]["cycles"],
"y": df[df["experiment"] == "exp_6"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_6_bottom",
},
{'x': df[df['experiment'] == 'exp_7']['cycles'],
'y': df[df['experiment'] == 'exp_7']['top_approximated_gradient'], 'type': 'line',
'name': 'exp_7_top'},
{'x': df[df['experiment'] == 'exp_7']['cycles'],
'y': df[df['experiment'] == 'exp_7']['bottom_approximated_gradient'], 'type': 'line',
'name': 'exp_7_bottom'},
{
"x": df[df["experiment"] == "exp_8"]["cycles"],
"y": df[df["experiment"] == "exp_8"]["top_approximated_gradient"],
"type": "line",
"name": "exp_8_top",
},
{
"x": df[df["experiment"] == "exp_8"]["cycles"],
"y": df[df["experiment"] == "exp_8"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_8_bottom",
},
{
"x": df[df["experiment"] == "exp_9"]["cycles"],
"y": df[df["experiment"] == "exp_9"]["top_approximated_gradient"],
"type": "line",
"name": "exp_9_top",
},
{
"x": df[df["experiment"] == "exp_9"]["cycles"],
"y": df[df["experiment"] == "exp_9"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_9_bottom",
},
{
"x": df[df["experiment"] == "exp_11"]["cycles"],
"y": df[df["experiment"] == "exp_11"]["top_approximated_gradient"],
"type": "line",
"name": "exp_11_top",
},
{
"x": df[df["experiment"] == "exp_11"]["cycles"],
"y": df[df["experiment"] == "exp_11"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_11_bottom",
},
{
"x": df[df["experiment"] == "exp_12"]["cycles"],
"y": df[df["experiment"] == "exp_12"]["top_approximated_gradient"],
"type": "line",
"name": "exp_12_top",
},
{
"x": df[df["experiment"] == "exp_12"]["cycles"],
"y": df[df["experiment"] == "exp_12"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_12_bottom",
},
{
"x": df[df["experiment"] == "exp_13"]["cycles"],
"y": df[df["experiment"] == "exp_13"]["top_approximated_gradient"],
"type": "line",
"name": "exp_13_top",
},
{
"x": df[df["experiment"] == "exp_13"]["cycles"],
"y": df[df["experiment"] == "exp_13"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_13_bottom",
},
{
"x": df[df["experiment"] == "exp_14"]["cycles"],
"y": df[df["experiment"] == "exp_14"]["top_approximated_gradient"],
"type": "line",
"name": "exp_14_top",
},
{
"x": df[df["experiment"] == "exp_14"]["cycles"],
"y": df[df["experiment"] == "exp_14"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_14_bottom",
},
{
"x": df[df["experiment"] == "exp_15"]["cycles"],
"y": df[df["experiment"] == "exp_15"]["top_approximated_gradient"],
"type": "line",
"name": "exp_15_top",
},
{
"x": df[df["experiment"] == "exp_15"]["cycles"],
"y": df[df["experiment"] == "exp_15"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_15_bottom",
},
{
"x": df[df["experiment"] == "exp_16"]["cycles"],
"y": df[df["experiment"] == "exp_16"]["top_approximated_gradient"],
"type": "line",
"name": "exp_16_top",
},
{
"x": df[df["experiment"] == "exp_16"]["cycles"],
"y": df[df["experiment"] == "exp_16"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_16_bottom",
},
{
"x": df[df["experiment"] == "exp_17"]["cycles"],
"y": df[df["experiment"] == "exp_17"]["top_approximated_gradient"],
"type": "line",
"name": "exp_17_top",
},
{
"x": df[df["experiment"] == "exp_17"]["cycles"],
"y": df[df["experiment"] == "exp_17"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_17_bottom",
},
{
"x": df[df["experiment"] == "exp_18"]["cycles"],
"y": df[df["experiment"] == "exp_18"]["top_approximated_gradient"],
"type": "line",
"name": "exp_18_top",
},
{
"x": df[df["experiment"] == "exp_18"]["cycles"],
"y": df[df["experiment"] == "exp_18"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_18_bottom",
},
{
"x": df[df["experiment"] == "exp_19"]["cycles"],
"y": df[df["experiment"] == "exp_19"]["top_approximated_gradient"],
"type": "line",
"name": "exp_19_top",
},
{
"x": df[df["experiment"] == "exp_19"]["cycles"],
"y": df[df["experiment"] == "exp_19"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_19_bottom",
},
{
"x": df[df["experiment"] == "exp_20"]["cycles"],
"y": df[df["experiment"] == "exp_20"]["top_approximated_gradient"],
"type": "line",
"name": "exp_20_top",
},
{
"x": df[df["experiment"] == "exp_20"]["cycles"],
"y": df[df["experiment"] == "exp_20"]["bottom_approximated_gradient"],
"type": "line",
"name": "exp_20_bottom",
},
],
"layout": {
"title": "Interpolated Gradient vs Cycles",
"xaxis": {"title": "Cycles"},
"yaxis": {
"title": "Interpolated Gradient Values",
},
"hovermode": "x unified",
},
},
),
]
)
server = app.server
if __name__ == "__main__":
app.run(debug=True, host="0.0.0.0")