Getting wider output in PyCharm's built-in con

Question

I'm relatively new to using the PyCharm IDE, and have been unable to find a way to better shape the output when in a built-in console session. I'm typically working with pretty wide dataframes, that would fit easily across my monitor, but the display is cutting and wrapping them much sooner than needed.

Does anyone know of a setting to change this behavior to take advantage of the full width of my screen?

Edit: I don't have enough reputation to post a screenshot, but link is below: http://imgur.com/iiBK3iU

I would like to prevent it from wrapping after only a few columns (for example, the column 'ReadmitRate' should be immediately to the right of 'SNFDaysPerSNFCase')

Answer 1

It appears I was mistaken in thinking that the issue was one in PyCharm (that could be solved, for example, in a setting or preference.) It actually has to do with the console session itself. The console attempts to auto-detect the width of the display area, but when that fails it defaults to 80 characters. This behavior can be overridden with:

import pandas as pd
desired_width = 320    
pd.set_option('display.width', desired_width)

Where you can of course set the desired_width to whatever your display will tolerate. Thanks to @TidB for the suggestion that my initial concern wasn't focused in the right area.

Answer 2

For me, just setting 'display.width' wasn't enough in pycharm, it kept displaying in truncated form.

However, adding the option pd.set_option("display.max_columns", 10) together with display width worked and I was able to see the whole dataframe printed in the "run" output.

In summary:

import pandas as pd    
pd.set_option('display.width', 400)
pd.set_option('display.max_columns', 10)

Answer 3

The answer by @mattvivier works nicely when printing Pandas dataframes (thanks!).

However, if you are printing NumPy arrays, you need to set np.set_printoptions as well:

import pandas as pd
import numpy as np
desired_width = 320
pd.set_option('display.width', desired_width)
np.set_printoptions(linewidth=desired_width)

See docs on NumPy and set_printoptions.