I am trying to represent cubic spline interpolation information for function f(x) as a dataframe.
When trying to print into a spyder, I find that the columns are being cut off. When trying to reproduce the output in Jupiter Lab, I got the same thing.
When I ran in ipython via terminal I got the desired full dataframe output.
I searched the integnet and tried the pandas commands setting options pd.set_options(), but nothing came of it.
I attach a screenshot with the output in ipython.
In Juputer can use:
from IPython.display import display, HTML
and instead of
print(dataframe)
use of in anyway place
display(HTML(dataframe.to_html()))
This will create a nice table.
Unfortunately, this will not work in the spyder. So you can try to adjust the width of the ipython were suggested. But in most cases this will make the output poorly or unreadable.
After trying the dataframe methods, I found what appears to be a cropping setting.
In Spyder I used:
pd.set_option('expand_frame_repr', False)
print(dataframe)
This method explains why increasing max_column didn't help me previously.
You can specify a maximum number for rows or columns using pd.set_options(display.max_columns=1000)
But you don't have to set an arbitrary value, but rather use None instead to make sure every size will be covered.
For rows, use:
pd.set_option('display.max_rows', None)
And for columns, use:
pd.set_option('display.max_columns', None)
display.width even for unlimited cols?It is a result of the display width, which by default is smaller. You can use the following set_option():
pd.set_option(display.width=1000) #make huge
You may also have to raise max columns but it should be smart enough to adjust automatically after you make width bigger:
pd.set_option(display.max_columns=None)
print(df)statement but justdf.