In $[1]$:

# $0.$ import libraries

import pandas as pd

import numpy as $np$

import matplotlib.pylab as plt

import seaborn as sns

In $[2]$:

In $[3]$:

Out $[3]$: $,(1364,41)$

In $4$ :

Out $[4]$:

Index$([\text{'}$country$\text{'},$ 'location$\_$name', 'latitu

de$\text{'},$ 'longitude', 'timezone',

'last$\_$updated$\_$epoch', 'last$\_$update

d$\text{'},$ 'temperature$\_$celsius',

'temperature$\_$fahrenheit', 'conditio

n$\_$text', 'wind$\_$mph$\text{'},$ 'wind$\_$kph$\text{'},$

'wind$\_$degree', 'wind$\_$direction', $\text{'}$p

ressure$\_$mb$\text{'},$ 'pressure$\_$in$\text{'},$

'precip$\_$mm$\text{'},$ 'precip$\_$in$\text{'},$ 'humidit

y$\text{'},$ 'cloud', 'feels$\_$like$\_$celsius',

'feels$\_$like$\_$fahrenheit', 'visibilit

y$\_$km$\text{'},$ 'visibility$\_$miles',

$\text{'}$uv$\_$index', 'gust$\_$mph$\text{'},$ 'gust$\_$kph$\text{'},$

'air$\_$quality$\_$Carbon$\_$Monoxide' $,$

'air$\_$quality$\_$Ozone' $,$ 'air$\_$quality$\_$N

itrogen$\_$dioxide' $,$

'air$\_$quality$\_$Sulphur$\_$dioxide', 'air

$\_$quality$\_$PM$2\mathrm{.}5\text{'},$ 'air$\_$quality$\_$PM$10\text{'},$

'air$\_$quality$\_$us$-$epa$-$index', 'air$\_$qu

ality$\_$gb$-$defra$-$index', 'sunrise',

'sunset', 'moonrise', 'moonset', $\text{'}$m

oon$\_$phase', 'moon$\_$illumination'$],$

dtype$=$ 'object' $)$

In $[5]$: # $4.$ show columns data types

Out $[5]$ :

country

object

nhinat