How can I use Dask to apply a function to a DataFrame?
An example of an AI chatbot conversation about applying functions to Dask DataFrames.
How can I use Dask to apply a function to a DataFrame?
You can use the map_partitions method in Dask to apply a function to each partition of a DataFrame. Would you like an example?
Yes, please provide an example of using map_partitions.
Sure! Here's a simple example:
import dask.dataframe as dd
df = dd.read_csv('data.csv')
def my_function(df):
return df['column'] * 2
result = df.map_partitions(my_function)
What if I want to apply a function that requires multiple columns?
You can modify your function to accept multiple columns. For example:
def my_function(df):
return df['column1'] + df['column2']
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