plt.bar(my_dataframe['a'].index, my_dataframe['a'].values) What I wanna do is display both of them using IPython and don't losing the default df output format. The first solution of this link answared my question but don't have this format that I talked about.
10. This answer is not useful. Save this answer. Show activity on this post. You can add below two lines to see all the rows /columns. pd.set_option ('display.max_columns', n) #replace n with the number of columns you want to see completely pd.set_option ('display.max_rows', n) #replace n with the number of rows you want to see completely.
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In Jupyter, when we put our dataframe at the end of the cell, the built-in display () function is actually called. This is the same as calling display (df). display (df) shows the HTML version of 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: If you are in Jupyter notebook, you could run the following code to interactively display the dataframe in a well formatted table. This answer builds on the to_html('temp.html') answer above, but instead of creating a file displays the well formatted table directly in the notebook: . 251 55 65 31 216 9 97 193

jupyter notebook display full dataframe