CTRL+/ for comment and uncomment multiple lines you can press 'h' anywhere in command mode, you can find all the shortcuts of jupyter. CTRL+/ doesn't work for me Does not work in notebook 7. For the big bunch of people that does not use an english keyboard, probably the adequate keys are in other place. Alternatively, we will see the visualization of image blocks and show it in a grid using numpy. This entire exercise is done using a jupyter notebook, so it may be useful for someone who would like to visualize their images in a grid format inside a cell of Jupyter notebook. type (l) output: list type (l [0]) output: pandas.core.DatFrame. I want to dataframe.head (5) but getting one dataframe per line in a jupyter-notebook. I can do: for dataframe in l: print (daframe.head (3)) But I get all dataframes in the same line and it's pretty to read it. however, my rows and cols are truncated. df = pd.read_csv ('dataset\Pos0.txt') pd.set_option ('display.max_rows', 50) print (df) although the rows and cols are not truncated, due to the space in between values, the return also includes \t. is there any way i can achieve no truncation while not including the \t? First, import the pandas library and if you desire, create an alias ‘ pd’ for shorthand notation. Next, create a credentials variable that stores: This variable will be a long string that is wrapped in quotation marks. The next cell in your Jupyter Notebook will be the SQL query itself. Display all Rows from Dataframe using Pandas. Below are the methods by which we can display all rows from dataframe using Pandas: Using to_string() Using set_option() Using to_markdown() Using option_context() Display all Rows from Dataframe Using to_string() In this example, we are using to_string() function to display all rows from dataframe Weird iPython Notebook figure size behavior. 2. set jupyter notebook inlinebackend figsize larger. 3. Change figsize in matplotlib. 8. Output figure size in Jupyter Notebook. 3. figure size does not respond to my figsize setting in plt.figure () with matplotlib in my jupyter notebook. To wrap code/text so it appears on multiple lines in Jupyter Notebook: Use the jupyter --config-dir command to print where your configuration directory is located. shell. jupyter --config-dir. In my case, the configuration directory is ~/.jupyter which is equivalent to /home//.jupyter. Open your config directory and create a nbconfig dHTKx5a.