pandas display: truncate column display rather than wrapping

With lengthy column names, DataFrames will display in a very messy form seemingly no matter what options are set.

Info: I'm in Jupyter QtConsole, pandas 0.20.1, with the following relevant options specified at startup:

pd.set_option('display.max_colwidth', 20)
pd.set_option('expand_frame_repr', False)
pd.set_option('display.max_rows', 25)

Question: how can I truncate the DataFrame if necessary rather than wrapping the columns to the next line, while keeping expand_frame_repr=False?

Here's an example. Again, the issue doesn't depend on the number of columns but length of the columns.

This will not cause an issue:

df = pd.DataFrame(np.random.randn(1000, 1000),
                  columns=['col' + str(i) for i in range(1000)])

As the output is perfectly readable and looks like:

The same DataFrame with long column names causes the issue I'm talking about:

df = pd.DataFrame(np.random.randn(1000, 1000),
                  columns=['very_long_col_name_' 
                           + str(i) for i in range(1000)])

Is there any way to conform the second output to be like the first that I'm missing? (Through specifying an option, not through using .iloc every time I want to view.)