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On the Developer tab, in the Shape Design group, click Protection. Select the shape attributes that you want to lock, or clear the check boxes for the attributes you want to unlock, and then click OK.

We can get the shape of Pandas DataFrame using the shape attribute. The shape is nothing but a number of rows and columns of the DataFrame. It returns a tuple where the first element is the number of rows and the second is the number of columns.

Usually, on a broader scale, the shape() method is used to fetch the dimensions of Pandas and NumPy type objects in python. Every value represented by the tuple corresponds to the actual dimension in terms of array or row/columns.

Explanation Line 4: We import the pandas library. Line 7: We create a DataFrame and name it df using the pandas. DataFrame() function. Line 12: We print the DataFrame, df . Line 15: We obtain the row labels of the index df using the DataFrame. shape attribute. ... Line 16: We print the value of the variable, shape .

The shape of a DataFrame is a tuple of array dimensions that tells the number of rows and columns of a given DataFrame.

We can get the shape of Pandas DataFrame using the shape attribute. The shape is nothing but a number of rows and columns of the DataFrame. It returns a tuple where the first element is the number of rows and the second is the number of columns.

If you want to use a custom shape, create one using the drawing tools in Visio. Select Home. Select the More arrow next to Rectangle to see the list of drawing tools. Select a tool, and drag on the drawing page to draw the shape.

Import pandas as. d = {"col1" : [1, df = pd.DataFrame. print(df.shape)