1四、表格顯示控制

 

 

In [ ]:

'''
表格顯示控制

df.style.format()
 只是更改了顯示樣式
 原數據不會更改
'''

In [1]:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline

In [2]:

df = pd.DataFrame(np.random.randn(10,4),columns=['a','b','c','d'])
sty = df.style

In [3]:

# 按照百分數顯示

df = pd.DataFrame(np.random.randn(10,4),columns=['a','b','c','d'])
print(df.head())
df.head().style.format("{:.2%}")

 

          a         b         c         d
0 -0.240393  0.238639 -0.207536  0.635190
1  1.077959 -1.526583 -0.216252  1.218049
2 -1.489623 -0.959523  0.868225  0.279078
3 -0.909010 -1.713432 -0.758621  0.080633
4 -0.466262 -0.014200  1.180753 -1.859700

Out[3]:

 

	a	b	c	d
0	-24.04%	23.86%	-20.75%	63.52%
1	107.80%	-152.66%	-21.63%	121.80%
2	-148.96%	-95.95%	86.82%	27.91%
3	-90.90%	-171.34%	-75.86%	8.06%
4	-46.63%	-1.42%	118.08%	-185.97%

In [4]:

# 顯示小數點數

df.head().style.format("{:.4f}")

Out[4]:

 

	a	b	c	d
0	-0.2404	0.2386	-0.2075	0.6352
1	1.0780	-1.5266	-0.2163	1.2180
2	-1.4896	-0.9595	0.8682	0.2791
3	-0.9090	-1.7134	-0.7586	0.0806
4	-0.4663	-0.0142	1.1808	-1.8597

In [5]:

# 顯示正負數

df.head().style.format("{:+.2f}")

Out[5]:

 

	a	b	c	d
0	-0.24	+0.24	-0.21	+0.64
1	+1.08	-1.53	-0.22	+1.22
2	-1.49	-0.96	+0.87	+0.28
3	-0.91	-1.71	-0.76	+0.08
4	-0.47	-0.01	+1.18	-1.86

In [6]:

# 分列顯示

df.head().style.format({'b':"{:.2%}", 'c':"{:+.3f}", 'd':"{:.3f}"})

Out[6]:

 

	a	b	c	d
0	-0.240393	23.86%	-0.208	0.635
1	1.07796	-152.66%	-0.216	1.218
2	-1.48962	-95.95%	+0.868	0.279
3	-0.90901	-171.34%	-0.759	0.081
4	-0.466262	-1.42%	+1.181	-1.860

In [ ]: