Скачать или смотреть replace excel vlookup with python five minute python scripts

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sure! replacing excel's vlookup functionality with python can be achieved using libraries like pandas, which is great for data manipulation. in this tutorial, we'll walk through how to replicate vlookup using pandas in just a few minutes.

prerequisites
before you start, make sure you have python installed along with the pandas library. you can install pandas using pip if you haven't done so:



example scenario
let's say we have two datasets:

1. **products**: a list of products with their ids and prices.
2. **sales**: a list of sales transactions that only contains product ids.

we want to look up the prices of products based on their ids in the sales dataset.

step-by-step tutorial

1. prepare the data
we will create two dataframes to simulate our datasets.



2. use `merge` to replace vlookup
in excel, vlookup is used to find and return a value from another dataset. in pandas, we can achieve this by using the `merge` function.



complete code example
here’s the complete script combining all the steps above:



explanation
1. **dataframes creation**: we create two dataframes from dictionaries, one for products and one for sales.
2. **merge operation**: we use the `pd.merge()` function to join the two dataframes on the `productid` column. the `how='left'` argument ensures that all entries from the sales dataframe are retained, and corresponding matches from the products dataframe are included.

output
running the complete code above will yield:



conclusion
you've successfully replaced excel's vlookup with python's pandas library! this approach not only replicates the functionality but also offers greater flexibility and efficiency for handling larger datasets. you can further manipulate or analyze the merged dataframe as needed.

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