Which of the following are correct methods that can be used to create a pandas DataFrame? 

University of Michigan - Ann Arbor

The key data structure pandas supports, which is basically like a spreadsheet table with rows and named columns.

It is also called a 2 dimensional data structure

Pandas Dataframe

Unlike the arrays supported by NumPy, the columns in a DataFrame can be of all different types. You can have one column holding string values, another column holding a date, another column holding a floating point number and so on.

Pandas Dataframe vs. numpy.array

Creating a Pandas DataFrame in Python

For example, lets create some data:

import pandas as pd

data = {"Trees": [['Blue','Brown','Red']], "Age": [[3,6,10]]}

- The next step is to put this data in to the Data frame object:

frame = pd.DataFrame(data)

print(frame)





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