showing one way to create dataframes from lists (#139)

* showing one way to create dataframes from lists

* updated list to dataframe using flake8

* updated list to dataframe tutorial

* commented out pandas

* commented out code not running

* Update dataframe.py

lists/dataframe.py

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+# ------------------------------------------------------------------------------------
+# Tutorial: creating a dataframe from lists
+# ------------------------------------------------------------------------------------
+# Think of a dataframe as an excel spreadsheet. All it is is a two-dimensional structure consisting of rows and columns.
+# Here I'll show you how to create a datframe with three columns using a list of lists.
+# Remember a list is created using square brackets []. So list of lists is different lists all wraped in a square bracket i.e. [['Sophie'], ['Jade']]
+# PS: anywhere you see a step, remove the hashtag before the code and remove everything in the bracket (). This does not include step 2!
+# e.g. in your practice, copy only "import pandas as pd" not "# import pandas as pd (step 2)"
+
+# Firstly, pip install pandas then import pandas as pd
+# pip install pandas (step 1)
+# import pandas as pd (step 2)
+# Creating a list of lists with two strings and an integer each
+list = [['Purple Hibiscus', 'Chimamanda', 2001], ['Things Fall Apart', 'Chinua', 1980]]  # Step 3
+
+# Storing the transformation from list to dataframe in a variable
+# df means dataframe but you can call your variable anything
+# df = pd.DataFrame(list, columns=['BookTitle', 'AuthorFirstName', 'YearPublished']) (Step 4)
+# df (step 5)
+
+# There are different ways to create a dataframe from lists. This was just one of them!
+
+# ------------------------------------------------------------------------------------
+# Challenge: get the right answer !
+#  1. Make your own list of lists
+#  2. Store it in another variable that is not called df
+#  3. Create a dataframe from it
+# ------------------------------------------------------------------------------------