The document provides a guide on creating pandas DataFrames using different specifications for rows and columns. It discusses methods to set values for DataFrame elements and highlights the creation of a multi-index DataFrame. The document ends by encouraging readers to engage with the content on social media.

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CHEAT SHEET PART 1

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df = pd.DataFrame(
{"a" : [4 ,5, 6],
"b" : [7, 8, 9],
"c" : [10, 11, 12]},
index = [1, 2, 3])
Specify values for each column.

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df = pd.DataFrame(
Specify values for each row.
[[4, 7, 10],
[5, 8, 11],
[6, 9, 12]],
index=[1, 2, 3],
columns=['a', 'b', 'c'])

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df = pd.DataFrame(
index = pd.MultiIndex.from_tuples(
{"a" : [4 ,5, 6],
"b" : [7, 8, 9],
"c" : [10, 11, 12]},
Create DataFrame with a MultiIndex
[('d',1),('d',2),('e',2)],
names=['n','v']))

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