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Working with Multiple DataFrames
Concatenate DataFrames

Sometimes, a dataset is broken into multiple tables. For instance, data is often split into multiple CSV files so that each download is smaller.

When we need to reconstruct a single DataFrame from multiple smaller DataFrames, we can use the method pd.concat([df1, df2, df2, ...]). This method only works if all of the columns are the same in all of the DataFrames.

For instance, suppose that we have two DataFrames:

df1
nameemail
Katja Obinger[email protected]
Alison Hendrix[email protected]
Cosima Niehaus[email protected]
Rachel Duncan[email protected]
df2
nameemail
Jean Gray[email protected]
Scott Summers[email protected]
Kitty Pryde[email protected]
Charles Xavier[email protected]

If we want to combine these two DataFrames, we can use the following command:

pd.concat([df1, df2])

That would result in the following DataFrame:

nameemail
Katja Obinger[email protected]
Alison Hendrix[email protected]
Cosima Niehaus[email protected]
Rachel Duncan[email protected]
Jean Gray[email protected]
Scott Summers[email protected]
Kitty Pryde[email protected]
Charles Xavier[email protected]

Instructions

1.

An ice cream parlor and a bakery have decided to merge.

The bakery’s menu is stored in the DataFrame bakery, and the ice cream parlor’s menu is stored in DataFrame ice_cream.

Create their new menu by concatenating the two DataFrames into a DataFrame called menu.

2.

Display menu using print.

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