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DBILITY
python matplot bar chart example 본문
그냥 해봤다. 상세한 옵션들은 매뉴얼을 참고.
figure로 chart의 크기를 바꿀 수 있다. figzie=(10,5)에서 tuple 값은 inch(?)
다른 차트들은 공식사이트 Examples를 참고 https://matplotlib.org/stable/gallery/index.html
Gallery — Matplotlib 3.4.3 documentation
Gallery This gallery contains examples of the many things you can do with Matplotlib. Click on any image to see the full image and source code. For longer tutorials, see our tutorials page. You can also find external resources and a FAQ in our user guide.
matplotlib.org
matplolib의 rgb color는 여기를 참고 https://matplotlib.org/stable/tutorials/colors/colors.html
Specifying Colors — Matplotlib 3.4.3 documentation
Note Click here to download the full example code Specifying Colors Matplotlib recognizes the following formats in the table below to specify a color. Format Example RGB or RGBA (red, green, blue, alpha) tuple of float values in a closed interval [0, 1]. (
matplotlib.org
import random
import matplotlib.pyplot as plt
from pandas import DataFrame
raw_data = {
'observation': range(0, 20),
'individual_value':
[0.529, 0.55, 0.555, 0.541, 0.559, 0.543, 0.557, 0.559, 0.581, 0.551,
0.493, 0.534, 0.527, 0.511, 0.565, 0.559, 0.519, 0.562, 0.551, 0.53
]
}
data = DataFrame(raw_data)
# print(data)
colors = []
for i in range(0, len(data['observation'])):
colors.append((random.random(), random.random(), random.random()))
plt.figure(figsize=(10, 5))
plt.text(x=10, y=0.25, s='hyperrookie@gmail.com', rotation=0, color='whitesmoke', horizontalalignment='center',
verticalalignment='center',
fontsize=20, fontweight='bold')
plt.title('bar chart', fontsize=22)
plt.xlabel('observation')
plt.ylabel('individual_value')
plt.ylim(0, data['individual_value'].max() * 1.5)
plt.xlim(-1, data['observation'].size)
plt.bar(data['observation'], data['individual_value'], color=colors)
plt.legend(['dummy value'])
plt.show()
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