To create a dataframe using range in Python, you can use the range() function. The following example shows how to create a dataframe using range in

To create a dataframe using a where condition in Python, you can use the where condition on an existing dataframe. The following example shows how to

To create a dataframe with 2 rows in Python, you can use lists of lists or a 2D numpy array. The following examples show how to

To create a dataframe with multi index in Python, you can use the pandas.MultiIndex() function. The following example shows how to create a dataframe with multi

To create a dataframe with random values in Python, you can use the numpy.random.randn() function from the numpy library. The following example shows how to create

To create a dataframe with two columns in Python, you can use the DataFrame() function from the pandas library. The following example shows how to create

To create a dataframe with two variables in Python, you can use the DataFrame() function from the pandas library. Creating a dataframe with two variables is

To create a dictionary from a grouped dataframe in Python, you can use the groupby() function along with the apply() function. The following example shows how

To create a dictionary from a grouped dataframe in Python, you can use the groupby() function along with the apply() function. The following example shows how

To create a graph from a dataframe in Python, you can use the matplotlib library’s pyplot module. The following example shows how to create a graph