How to sort a data frame by a column in pandas

to sort a dataframe by a column in pandas, you can use the `sort_values()` function. this function allows you to sort the dataframe based on one or more columns. here's a step-by-step tutorial on how to sort a dataframe by a column in pandas:

step 1: import the pandas library

step 2: create a sample dataframe
let's create a sample dataframe to demonstrate the sorting operation.

step 3: sort the dataframe by a column
you can use the `sort_values()` function to sort the dataframe by a specific column. in this example, we will sort the dataframe by the 'age' column in ascending order.

step 4: sort the dataframe in descending order
if you want to sort the dataframe in descending order, you can set the `ascending` parameter to `false`.

that's it! you have successfully sorted a dataframe by a column in pandas. you can also sort by multiple columns by passing a list of column names to the `by` parameter in the `sort_values()` function.

here is the complete code example for reference:

...

#python columns
#python column types
#python column to string
#python column sum
#python column contains string

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