Widgets in Jupyter Notebook are interactive components or controls that allow users to interact with data and dynamically modify it. They can be buttons, sliders, checkboxes, dropdown menus, text boxes, and more. These widgets enable users to create rich and responsive user interfaces in notebooks, making data exploration and analysis more In your notebook, in the 'view' menu choose 'cell toolbar' then 'initialization cell'. Next to each cell there is now a checkbox. Mark all the cells you want to run for initialization. When reopening a notebook, click the button that looks like a pocket calculator to run all the initialization cells. Share. It allowed me to write SQL cells, making my notebooks much cleaner since I no longer needed to wrap each SQL query into a Python call. Furthermore, it also led me to learn that Jupyter (known as IPython back then) runs a modified Python interpreter, which enables all kinds of fun stuff like “magics” (e.g., %%bash, %%capture, etc.) 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. How do I show all columns in a data frame? How to Show All Columns of a Pandas DataFrame. You can easily force the notebook to show all columns by using the following syntax: pd. You can also use the following syntax to display all of the column names in the DataFrame: print(df. How do I show the first 10 rows in Python? Use pandas. I want them to display side by side in a Jupyter Notebook. display (Image.open (BytesIO (Item [iii] [b'imgs']))) display (Image.open (BytesIO (Item [jjj] [b'imgs']))) Did you try also with html layout? display method also support html. Create a new image which has both images inside of it side by side. Wygynx. On the other hand, concerning the possibility of displaying a large number of rows or columns, for example in "Jupyter Notebook", there is some predefined limits. For example you can: print (pd.options.display.max_columns) # <--- this will display your limit pd.options.display.max_columns = 500 # this will set limit of columns to 500. Pandas Display All Columns and Show More Rows How do I show all columns in a data frame? How to Show All Columns of a Pandas DataFrame. You can easily force the notebook to show all columns by using the following syntax: pd. You can also use the following syntax to display all of the column names in the DataFrame: print(df. How do I show the first 10 rows in Python? Use pandas. Save this answer. Show activity on this post. See the docs on print options. Specifically: threshold : int, optional. Total number of array elements which trigger summarization rather than full repr (default 1000). So setting threshold to np.inf means it is never summarized. np.set_printoptions (threshold=np.inf) Share. If you want line numbers only for code cells, there is a simpler approach. Select a code cell, open the Chrome/Firefox JavaScript console, type the following lines: var cell = Jupyter.notebook.get_selected_cell (); var config = cell.config; var patch = { CodeCell: { cm_config: {lineNumbers:true} } } config.update (patch) Then reload the page

jupyter notebook display all rows