Practicing Series Vectorized Operations with Penguins Data

In this project, you will be working with a dataset containing information about penguins. Each penguin is described by various attributes such as species, island, culmen length, culmen depth, flipper length, body mass, and gender. You will learn how to apply vectorized operations on the Pandas series derived from the dataset to perform various calculations and manipulations.

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Add a constant value of 100 to the `body_mass_g` series

Create a new series called body_mass_g_plus_100 by adding a constant value of 100 to the body_mass_g series.

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Subtract the `culmen_length_mm` series from the `flipper_length_mm` series

Subtract the culmen_length_mm series from the flipper_length_mm series and assign the result to a new series called length_difference.

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Multiply the `culmen_depth_mm` series by 2

Multiply the culmen_depth_mm series by 2 and assign the result to a new series called double_culmen_depth_mm.

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Raise the `flipper_length_mm` series to the power of 2

Create a new series called flipper_length_mm_squared by raising the flipper_length_mm series to the power of 2.

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Calculate the mean of the `culmen_length_mm` series and subtract it from each value in the series

Find the mean of the culmen_length_mm series and subtract it from each value in the series. Assign the result to a new series called culmen_length_mm_mean_centered.

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Concatenate the `species` and `gender` series, separated by a hyphen `-`

Create a new series called species_and_gener by concatenating the species and gender series, separated by a hyphen (-).

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Perform element-wise addition of `culmen_length_mm` and `culmen_depth_mm`

Add culmen_length_mm and culmen_depth_mm together and assign the result to a new variable called culmen_length_plus_depth_mm.

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Sort `culmen_length_mm` in descending order

Create a new series called culmen_length_mm_sorted by sorting culmen_length_mm in descending order.

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Divide `flipper_length_mm` by `culmen_length_mm`

Find the ratio of each penguin's flipper length to its culmen length and assign the result to a new variable called length_ratio.

Practicing Series Vectorized Operations with Penguins Data

Project Activities

Add a constant value of 100 to the `body_mass_g` series

Subtract the `culmen_length_mm` series from the `flipper_length_mm` series

Multiply the `culmen_depth_mm` series by 2

Raise the `flipper_length_mm` series to the power of 2

Calculate the mean of the `culmen_length_mm` series and subtract it from each value in the series

Concatenate the `species` and `gender` series, separated by a hyphen `-`

Perform element-wise addition of `culmen_length_mm` and `culmen_depth_mm`

Sort `culmen_length_mm` in descending order

Divide `flipper_length_mm` by `culmen_length_mm`

Anurag Verma

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