[ Python ] pandas plot 을 이용한 다양한 graph 그리기

 

 

Pandas의 plot 을 이용하여 그래프 그리기

 

 

import numpy as np
import pandas as pd

df = pd.DataFrame(np.random.rand(20,6), 
                  columns=['a','b','c','d','e','f'])

 

 

 

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line graph 

 

df.plot.line(figsize = (15,5))

 

 

---

 

bar graph

 

df.plot.bar(figsize = (15,5), grid=True)

 

 

---

 

area graph

 

df.plot.area(figsize = (15,5), xticks = (1,5,10,15,20), yticks = (1,2,3,4,5))

 

 

 

area graph ( Time index )

 

import numpy as np
import pandas as pd
from datetime import datetime
from random import randint

data = [[ randint(50,1000)  for x in range(4) ] for x in range(4) ]
ix = [ datetime(2023,5,randint(1,10)) for x in range(4) ]

df = pd.DataFrame(data,
                  columns=['a','b','c', 'd'],
                  index=ix)

df.plot.area(figsize=(10,5))

 

 

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sctter graph

 

import numpy as np
import pandas as pd

x = [ x for x in range(100) ]
y = [ randint(50,100) for x in range(100) ]

df = pd.DataFrame(zip(x, y), columns=['x','y'])

df.plot.scatter(x='x',y='y',
                s = 100,
                c = 'red',
                alpha=0.3)

 

 

 

 

 

 

파일저장은 matplotlib savefig를 이용

 

import matplotlib.pyplot as plt

plt.savefig('scatter.png')  # png
plt.savefig('scatter.pdf')  # pdf

 

 

 

 

 

 

그래프에 대한 옵션은 Document 를 참고 하면 되겠다.

 

 

Document : https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.plot.html#

pandas.DataFrame.plot — pandas 2.0.1 documentation