How to make the calendar start-date equal to the start-date in my CSV file?

@mirceau wrote:

I have a calendar in my web app and I want it to only allow users to select the dates on the calendar that are actually present in my CSV file or df. Because only those dates have assigned to them a ‘sensor’ observation.

The code it regards are these two pieces:

# Initialize data frame

df1 = pd.read_csv(
     "/Users/ME/Desktop/personal_project/plot_points.csv",
    dtype=object,
)
df = pd.concat([df1], axis=0)
df["Date/Time"] = pd.to_datetime(df["Date/Time"], format="%Y-%m-%d %H:%M")
df.index = df["Date/Time"]
df.drop("Date/Time", 1, inplace=True)
totalList = []
for month in df.groupby(df.index.month):
    dailyList = []
    for day in month[1].groupby(month[1].index.day):
        dailyList.append(day[1])
    totalList.append(dailyList)
totalList = np.array(totalList)

and this piece:

html.H2("Date Plotting"),
                        html.Div(
                            className="div-for-dropdown",
                            children=[
                                dcc.DatePickerSingle(
                                    id="date-picker",
                                    min_date_allowed=dt(2019, 1, 1),
                                    max_date_allowed=dt(2019, 12, 31),
                                    # initial_visible_month=dt(2019, 3, 1),
                                    date=dt(2019, 3, 1).date(),
                                    display_format="MMMM DD, YYYY",
                                    style={"border": "0px solid white"}
                                )
                            ],
                        ),

Probably I need to specify something at this line:

min_date_allowed=dt(2019, 1, 1)

---

Can someone help me out as to what needs to be done to realise my
goal?

---

My entire code:

import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import numpy as np

from dash.dependencies import Input, Output
from plotly import graph_objs as go
from plotly.graph_objs import *
from datetime import datetime as dt

app = dash.Dash(
    __name__, meta_tags=[{"name": "viewport", "content": "width=device-width"}]
)
server = app.server


# Plotly mapbox public token
mapbox_access_token = get_token [this is intentionally put on private for this post]

# Initialize data frame
df1 = pd.read_csv(
     "/Users/ME/Desktop/personal_project/plot_points.csv",
    dtype=object,
)
df = pd.concat([df1], axis=0)
df["Date/Time"] = pd.to_datetime(df["Date/Time"], format="%Y-%m-%d %H:%M")
df.index = df["Date/Time"]
df.drop("Date/Time", 1, inplace=True)
totalList = []
for month in df.groupby(df.index.month):
    dailyList = []
    for day in month[1].groupby(month[1].index.day):
        dailyList.append(day[1])
    totalList.append(dailyList)
totalList = np.array(totalList)

# Layout of Dash App HTML
app.layout = html.Div(
    children=[
        html.Div(
            className="row",
            children=[
                # Column for user controls
                html.Div(
                    className="four columns div-user-controls",
                    children=[
                        html.Img(
                            className="logo", src=app.get_asset_url("dash-logo-new-.png")
                        ),
                        html.H2("Date Plotting"),
                        html.Div(
                            className="div-for-dropdown",
                            children=[
                                dcc.DatePickerSingle(
                                    id="date-picker",
                                    min_date_allowed=dt(2019, 1, 1),
                                    max_date_allowed=dt(2019, 12, 31),
                                    # initial_visible_month=dt(2019, 3, 1),
                                    date=dt(2019, 3, 1).date(),
                                    display_format="MMMM DD, YYYY",
                                    style={"border": "0px solid white"}
                                )
                            ],
                        ),
                        # Change to side-by-side for mobile layout
                        html.Div(
                            className="row",
                            children=[
                                html.Div(
                                    className="div-for-dropdown",
                                    children=[
                                        # Dropdown for locations on map
                                        dcc.Dropdown(
                                            id="location-dropdown",
                                            options=[
                                                {"label": i, "value": i}
                                                for i in list_of_fixed_sensors
                                            ],
                                            placeholder="Select a sensor viewpoint",
                                        )
                                    ],
                                ),
                                html.Div(
                                    className="div-for-dropdown",
                                    children=[
                                        # Dropdown to select times
                                        dcc.Dropdown(
                                            id="bar-selector",
                                            options=[
                                                {
                                                    "label": str(n) + ":00",
                                                    "value": str(n),
                                                }
                                                for n in range(24)
                                            ],
                                            multi=True,
                                            placeholder="Select certain hours",
                                        )
                                    ],
                                ),
                            ],
                        ),
                        html.H1(id="total-observations"),
                        html.H1(id="total-observations-selection"),
                        html.H1(id="date-value"),
                        html.Button('Detect', id='button'),
                        html.Div(id='output-container-button',
                        children='Hit the button to update.')
                     ],
                ),
                # Column for app graphs and plots
                html.Div(
                    className="eight columns div-for-charts bg-grey",
                    children=[
                        dcc.Graph(id="map-graph"),
                        html.Div(
                            className="text-padding",
                            children=[
                                "Select any of the bars on the histogram to section data by time."
                            ],
                        ),
                        dcc.Graph(id="histogram"),
                    ],
                ),
            ],
        )
    ]
)

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