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Source: https://gregology.net/2018/09/raspberry-pi-time-machine/

Raspberry Pi Time Machine

Setup Pi with Raspbian

Install Raspbian Buster Lite on the SD card. Follow the instructions on the Installing images tutorial on the Raspberry Pi site. Then enable SSH. Insert the SD card into the Pi, plug in the USB hard drive, plug in a network cable, and power on the Pi.

Open Preferences and Raspberr pi configuration. Change the hostname to: "AirPort"

Next set a static IP address for your Raspberry Pi. Depending on your setup, you can either set the Pi to have a manual ip address or have your router assign a static IP address.

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Passengers 2011M01

	airport	type of traffic	Passengers 2010M10	Passengers 2010M11	Passengers 2010M12

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miss_col, miss_row, miss_only = missing_location(df)

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from dash.dependencies import Input, Output
# from numpy.core.fromnumeric import size
from dash_bootstrap_components._components.Navbar import Navbar
import pandas as pd
import plotly.graph_objects as go
import plotly.express as px
import dash
import dash_table
import dash_bootstrap_components as dbc
import dash_core_components as dcc

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date

	airport	type of traffic	location	latitude	longitude

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path = "df_melt.csv"
read = True

if read:
    if path_checker(path):
        df_melt = pd.read_csv(path)
        if "date" in df_melt:
            df_melt["date"] = pd.to_datetime(df_melt["date"])
else:
    if df is None:

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path = "df_geo_manual.csv"
read = True

if read:
    if path_checker(path):
        df = pd.read_csv(path)
        if "date" in df:
            df["date"] = pd.to_datetime(df["date"])
else:
    if df is None:

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2011-01-01 00:00:00

	airport	type of traffic	2010-10-01 00:00:00	2010-11-01 00:00:00	2010-12-01 00:00:00

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miss_row_airport = miss_row
miss_row_airport.drop_duplicates("airport")

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2011-01-01 00:00:00

	airport	type of traffic	2010-10-01 00:00:00	2010-11-01 00:00:00	2010-12-01 00:00:00