I have 3 basic problems when displaying things in IPython / JupyterLab. (1) I have a pandas dataframe with many columns. First, I make sure I can see a decent portion of it: import numpy as np import pandas as pd np.set_printoptions(linewidth=240,edgeitems=5,precision=3) pd.set_option('display.width',1800) #number of pixels of the output pd.set_option('display.max_columns',100) #replace the number with None to print all columns pd.set_option('display.max_rows',10) #max_columns/max_rows sets the maximum number of columns/rows displayed when a frame is pretty-printed pd.set_option('display.min_rows',9) #once max_rows is exceeded, min_rows determines how many rows are shown in the truncated representation pd.set_option('display.precision',3) #number of digits in the printed float number If I print it, everything gets mushed together: Is it possible to print text wide, i.e. in a way that each line (even if longer) is printed on only 1 line in output, with a slider when lines are wider than the window? (2) If I display the mentioned dataframe, it looks really nice (has a slider), but some string entries are displayed over 4 rows: How can I make sure every entry is displayed in 1 row? (3) The code below produces the output, which works fine: import numpy as np import matplotlib.pyplot as plt x=np.linspace(0.1,30,1000); fig,ax=plt.subplots(1, 4, constrained_layout=True, figsize=[15,2]) ax=ax.ravel() ax[0].plot( x, np.sin(x)) ax[1].plot( x, np.log(1+x)) ax[2].plot( x, np.sin(30/x)) ax[3].plot( x, np.sin(x)*np.sin(2*x)) plt.show() However, when I change [15,2] to [35,2], the figure will only be as wide as the window. How can I achieve that larger widths produce a slider (like display of a dataframe) so that I can make images as wide as I wish? Continue reading...
