맞춤 설정하기

중급 Python

Hugo Bowne-Anderson

Data Scientist at DataCamp

데이터 시각화

많은 선택지
- 다양한 그래프 유형
- 원하는 대로 맞춤 설정 가능
선택을 좌우하는 요인
- 데이터 용량
- 전달하고 싶은 메시지

기본 그래프

population.py

import matplotlib.pyplot as plt
year = [1950, 1951, 1952, ..., 2100]
pop = [2.538, 2.57, 2.62, ..., 10.85]

plt.plot(year, pop)

plt.show()

ch1_3_slides.012.png

축 레이블

population.py

import matplotlib.pyplot as plt
year = [1950, 1951, 1952, ..., 2100] 
pop = [2.538, 2.57, 2.62, ..., 10.85]

plt.plot(year, pop)


plt.xlabel('Year')
plt.ylabel('Population')


plt.show()

ch_1_3_slides.012.png

축 레이블

population.py

import matplotlib.pyplot as plt
year = [1950, 1951, 1952, ..., 2100] 
pop = [2.538, 2.57, 2.62, ..., 10.85]

plt.plot(year, pop)


plt.xlabel('Year')
plt.ylabel('Population')


plt.show()

ch_1_3_slides.014.png

제목

population.py

import matplotlib.pyplot as plt
year = [1950, 1951, 1952, ..., 2100] 
pop = [2.538, 2.57, 2.62, ..., 10.85]

plt.plot(year, pop)


plt.xlabel('Year')
plt.ylabel('Population')

plt.title('World Population Projections')


plt.show()

ch_1_3_slides.015.png

제목

population.py

import matplotlib.pyplot as plt
year = [1950, 1951, 1952, ..., 2100] 
pop = [2.538, 2.57, 2.62, ..., 10.85]

plt.plot(year, pop)


plt.xlabel('Year')
plt.ylabel('Population')

plt.title('World Population Projections')


plt.show()

ch_1_3_slides.017.png

눈금

population.py

import matplotlib.pyplot as plt
year = [1950, 1951, 1952, ..., 2100] 
pop = [2.538, 2.57, 2.62, ..., 10.85]

plt.plot(year, pop)


plt.xlabel('Year')
plt.ylabel('Population')

plt.title('World Population Projections')

plt.yticks([0, 2, 4, 6, 8, 10])


plt.show()

ch_1_3_slides.019.png

눈금

population.py

import matplotlib.pyplot as plt
year = [1950, 1951, 1952, ..., 2100] 
pop = [2.538, 2.57, 2.62, ..., 10.85]

plt.plot(year, pop)


plt.xlabel('Year')
plt.ylabel('Population')

plt.title('World Population Projections')

plt.yticks([0, 2, 4, 6, 8, 10])


plt.show()

ch_1_3_slides.020.png

눈금(2)

population.py

import matplotlib.pyplot as plt
year = [1950, 1951, 1952, ..., 2100] 
pop = [2.538, 2.57, 2.62, ..., 10.85]

plt.plot(year, pop)


plt.xlabel('Year')
plt.ylabel('Population')

plt.title('World Population Projections')

plt.yticks([0, 2, 4, 6, 8, 10],

           ['0', '2B', '4B', '6B', '8B', '10B'])


plt.show()

ch_1_3_slides.021.png

눈금(2)

population.py

import matplotlib.pyplot as plt
year = [1950, 1951, 1952, ..., 2100] 
pop = [2.538, 2.57, 2.62, ..., 10.85]

plt.plot(year, pop)


plt.xlabel('Year')
plt.ylabel('Population')

plt.title('World Population Projections')

plt.yticks([0, 2, 4, 6, 8, 10],

           ['0', '2B', '4B', '6B', '8B', '10B'])


plt.show()

ch_1_3_slides.027.png

이전 데이터 추가

population.py

import matplotlib.pyplot as plt
year = [1950, 1951, 1952, ..., 2100] 
pop = [2.538, 2.57, 2.62, ..., 10.85]


# Add more data
year = [1800, 1850, 1900] + year
pop = [1.0, 1.262, 1.650] + pop


plt.plot(year, pop)


plt.xlabel('Year')
plt.ylabel('Population')

plt.title('World Population Projections')

plt.yticks([0, 2, 4, 6, 8, 10],

           ['0', '2B', '4B', '6B', '8B', '10B'])


plt.show()

ch_1_3_slides.028.png

이전 데이터 추가

population.py

import matplotlib.pyplot as plt
year = [1950, 1951, 1952, ..., 2100] 
pop = [2.538, 2.57, 2.62, ..., 10.85]


# Add more data
year = [1800, 1850, 1900] + year
pop = [1.0, 1.262, 1.650] + pop


plt.plot(year, pop)


plt.xlabel('Year')
plt.ylabel('Population')

plt.title('World Population Projections')

plt.yticks([0, 2, 4, 6, 8, 10],

           ['0', '2B', '4B', '6B', '8B', '10B'])


plt.show()

ch_1_3_slides.030.png

그래프 비교

ch_1_3_slides.031.png

연습해 봅시다!

중급 Python