Python interactive visualization

Question 1

from plotly import __version__
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot

Answer 1

Importuojama plotly biblioteka

Question 2

import cufflinks as cf
init_notebook_mode(connected=True)
cf.go_offline()

Answer 2

Importuojama cufflinks biblioteka

Question 3

df.iplot()

Answer 3

Sukuriama paprasta vingiuota tiesine diagrama

Question 4

df.iplot(kind=’scatter’,x=’A’,y=’B’,mode=’markers’,size=10)

Answer 4

Sukuriama interaktyvi scatter diagrama su nustatytais nustatymais

Question 5

df2.iplot(kind=’bar’,x=’Category’,y=’Values’)

Answer 5

Interaktyvi stulpeline diagrama

Question 6

df.iplot(kind=’box’)

Answer 6

Box diagrama

Question 7

df3 = pd.DataFrame({‘x’:[1,2,3,4,5],’y’:[10,20,30,20,10],’z’:[5,4,3,2,1]})
df3.iplot(kind=’surface’,colorscale=’rdylbu’)

Answer 7

3D diagrama

Question 8

df[[‘A’,’B’]].iplot(kind=’spread’)

Answer 8

Sukuriama tiesine diagrama ,dazniausiai naudojama stock markete

Question 9

df.iplot(kind=’bubble’,x=’A’,y=’B’,size=’C’)

Answer 9

Sukuriama taskeline diagrama

Question 10

df.scatter_matrix()

Answer 10

Sukuriama 4X4 matrica ,kur pagrindine istrizaines elementai yra stulpeline diagrama ,o likusieji scatter

Question 11

df = pd.read_csv(‘2014_World_GDP’)
df.head()
data = dict(
type = ‘choropleth’,
locations = df[‘CODE’],
z = df[‘GDP (BILLIONS)’],
text = df[‘COUNTRY’],
colorbar = {‘title’ : ‘GDP Billions US’},
)
layout = dict(
title = ‘2014 Global GDP’,
geo = dict(
showframe = False,
projection = {‘type’:’Mercator’}
)
)
choromap = go.Figure(data = [data],layout = layout)
iplot(choromap)

Answer 11

Sukuriamas interaktyvaus zemelapio diagrama