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Pandas: reading a CSV from a string

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In Pandas we can load data from a CSV file with read_csv:

Now, it's not uncommon to have some tabular data as a string:

To load this string as a file we can use Python built-in StringIO:

Credits to my friend Ernesto for this tip.

How to plot a CSV with Pandas

Consider this file-like CSV:

To plot this CSV with Pandas we call the plot method on the DataFrame:

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To show the plot instead we call show on plt:

You can also save the plot with savefig:

Now, you'll notice that the resulting picture has indeed two labels taken from the CSV column. But the x axis is associated with the indexes of each DataFrame row:

A DataFrame in fact has indexes:

To use the year column instead of an index for the x axis we can instruct plot respectively with the x and y arguments (in this example you can omit y):

Now the plot is coherent with the dataset:

How to groupby in Pandas

Suppose you've got a CSV with two columns, year and amount:

To compute the amount by year you can group by year and then call sum:

This gives you a new DataFrame as expected:

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Thanks, I hope this will help you, and if you want to recommend some please free to reach us. Also, share with your friends to help them.

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