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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:

lewiuberg

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

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miss_row

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	location	point	latitude	longitude	altitude