The unstack() is similar to stack method, It also works with multi-index objects in dataframe, producing a reshaped DataFrame with a new inner-most level of column labels. Output: The melt () in Pandas reshape dataframe from wide format to long format. It uses the "id_vars ['col_names']" to melt the dataframe by column names.

Reshaping... pandas provides methods for manipulating a Series and DataFrame to alter the representation of the data for further data processing or data summarization. pivot() and pivot_table(): Group unique values within one or more discrete categories. stack() and unstack(): Pivot a column or row level to the opposite axis respectively.

.reset_index() Pandas DataFrames are commonly used in Python for data analysis, with observations containing values or variables related to a single object and variables representing attributes across all observations.

In Pandas, the pivot() function reshapes data based on column values. It takes simple column-wise data as input, and groups the entries into a two-dimensional table. Let's look at an example. # create a DataFrame 'Category': ['A', 'B', 'A', 'B'], 'Value': [10, 20, 30, 40]} print("Original Dataframe:\n", df) # pivot the DataFrame