Rotating the column name for a Panda DataFrame

I placed @Bobain's nice answer into a function so I can re-use it throughout a notebook.

def format_vertical_headers(df):
    """Display a dataframe with vertical column headers"""
    styles = [dict(selector="th", props=[('width', '40px')]),
              dict(selector="th.col_heading",
                   props=[("writing-mode", "vertical-rl"),
                          ('transform', 'rotateZ(180deg)'), 
                          ('height', '290px'),
                          ('vertical-align', 'top')])]
    return (df.fillna('').style.set_table_styles(styles))

format_vertical_headers(pandas.DataFrame(data))

Looking at the pybloqs source code for the accepted answer's solution, I was able to find out how to rotate the columns without installing pybloqs. Note that this also rotates the index, but I have added code to remove those.

from IPython.display import HTML, display

data = [{'Way too long of a column to be reasonable':4,'Four?':4},
        {'Way too long of a column to be reasonable':5,'Four?':5}]
df = pd.DataFrame(data)

styles = [
    dict(selector="th", props=[("font-size", "125%"),
                               ("text-align", "center"),
                              ("transform", "translate(0%,-30%) rotate(-5deg)")
                              ]),
    dict(selector=".row_heading, .blank", props= [('display', 'none;')])
]

html = df.style.set_table_styles(styles).render()
display(HTML(html))

Using the Python library 'pybloqs' (http://pybloqs.readthedocs.io/en/latest/), it is possible to rotate the column names as well as add a padding to the top. The only downside (as the documentation mentions) is that the top-padding does not work inline with Jupyter. The table must be exported.

import pandas as pd
from pybloqs import Block
import pybloqs.block.table_formatters as tf
from IPython.core.display import display, HTML

data = [{'Way too long of a column to be reasonable':4,'Four?':4},
        {'Way too long of a column to be reasonable':5,'Four?':5}]
dfoo =pd.DataFrame(data)

fmt_header = tf.FmtHeader(fixed_width='5cm',index_width='10%', 
                          top_padding='10cm', rotate_deg=60)
table_block = Block(dfoo, formatters=[fmt_header])

display(HTML(table_block.render_html()))
table_block.save('Table.html')

Something like:

data = [{'Way too long of a column to be reasonable':4,'Four?':4},
        {'Way too long of a column to be reasonable':5,'Four?':5}]
dfoo = pd.DataFrame(data)
dfoo.style.set_table_styles(
    [dict(selector="th",props=[('max-width', '80px')]),
        dict(selector="th.col_heading",
                 props=[("writing-mode", "vertical-rl"), 
                        ('transform', 'rotateZ(-90deg)'),
                        ])]
)

is probably close to what you want:

see result here