pythonpandasconsoleipythonpandas-styles

Is it possible to display pandas styles in the IPython console?

Is it possible to display pandas styles in an iPython console? The following code in a Jupyter notebook

import pandas as pd
import numpy as np

np.random.seed(24)
df = pd.DataFrame({'A': np.linspace(1, 10, 5)})
df = pd.concat([df, pd.DataFrame(np.random.randn(5, 1), columns=list('B'))],
               axis=1)
df.style.format({'B': "{:.2%}"})

correctly produces

enter image description here

In the console I only get 

In [294]: df.style.format({'B': "{:.2%}"})
Out[294]: <pandas.io.formats.style.Styler at 0x22f3f4fe780>

Is it possible to achieve a similar result here, or is the style engine dependent on an html frontend?

Thanks in advance for any help.

Solution

  • I believe that the styler really requires an html frontend, like jupyter, even if it only formats numbers (and not fonts or colors).

    See e.g. here Using Pandas Styler.

    In order to convert a column to a specific format, one should use the .map method:

    df = pd.DataFrame({'A': np.linspace(1, 5, 5)})
df = pd.concat([df, pd.DataFrame(np.random.randn(5, 1), columns=list('B'))],
               axis=1)

df['C']=df['B'].map("{:.2%}".format)

print(df, end='\n\n')
print(df.dtypes)

     A         B         C
0  1.0  1.329212   132.92%
1  2.0 -0.770033   -77.00%
2  3.0 -0.316280   -31.63%
3  4.0 -0.990810   -99.08%
4  5.0 -1.070816  -107.08%

A    float64
B    float64
C     object
dtype: object

    The drawback is, that df['C'] is not a number anymore, so you cannot properly sort the dataframe anymore.