Code is executed one statement at a time. You have to put it before the statements where you're showing the data frame. But it your case, you're using "head" which only shows 48 rows of the dataset anyway.
The Jupyter Notebook is a web-based interactive computing platform, and it is usually the first tool we learn about in data science. Most of us start our learning journeys in Jupyter notebooks. They are great for learning, practicing, and experimenting. There are several reasons why the Jupyter notebook is a highly popular tool. Here are some
df = pd.concat([new_row, df]).reset_index(drop = True) df.head(5) Output:Data Frame before Adding Row-Data Frame after Adding Row-For more examples refer to Add a row at top in pandas DataFrame Row Deletion: In Order to delete a row in Pandas DataFrame, we can use the drop() method. Rows is deleted by dropping Rows by index label. If you prefer to load the libraries dynamically (and keep the notebook lighter), use connected=True when you execute init_notebook_mode. Supported environments. itables has been tested in the following editors: Jupyter Notebook; Jupyter Lab; Jupyter nbconvert (i.e. the tables are still interactive in the HTML export of a notebook) Jupyter Book Use widgets.HBox() to put the text box and buttons in a row, and widgets.VBox() to put that row above the Output widget. The last part of Step 1 is opening a new output view for each widget, and Learn how to force a Jupyter notebook to display all rows in a pandas DataFrame using the pd.set_option('display.max_rows', None) syntax. See an example of how to use this syntax in practice and how to reset the default display settings. One way to select all occurrences of a certain value is to use the built-in find function. To use this function, simply click on the cell you want to search, then click the “Find and Replace” button at the top of the notebook. In the “Find” field, enter the value you are looking for, and then click the “Find All” button.
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    • jupyter notebook show all rows