What is the most efficient way to loop through dataframes with pandas?

by

The newest versions of pandas now include a built-in function for iterating over rows. 

for index, row in df.iterrows():

    # do some logic here

Or, if you want it faster use itertuples()

But, unutbu’s suggestion to use numpy functions to avoid iterating over rows will produce the fastest code.

More Related Contents:

  1. Is there a way in Pandas to use previous row value in dataframe.apply when previous value is also calculated in the apply?
  2. How to append rows in a pandas dataframe in a for loop?
  3. Get statistics for each group (such as count, mean, etc) using pandas GroupBy?
  4. Import multiple csv files into pandas and concatenate into one DataFrame
  5. Use a list of values to select rows from a Pandas dataframe
  6. Set value for particular cell in pandas DataFrame using index
  7. how to sort pandas dataframe from one column
  8. Compare two DataFrames and output their differences side-by-side
  9. Selecting a row of pandas series/dataframe by integer index
  10. How do I find the closest values in a Pandas series to an input number?
  11. How do I transpose dataframe in pandas without index?
  12. Remove reverse duplicates from dataframe
  13. How do I count the NaN values in a column in pandas DataFrame?
  14. How to split text in a column into multiple rows
  15. getting the index of a row in a pandas apply function
  16. How to flatten a pandas dataframe with some columns as json?
  17. Tilde sign in pandas DataFrame
  18. Drop columns whose name contains a specific string from pandas DataFrame
  19. Pandas merge two dataframes with different columns
  20. Pandas filter dataframe rows with a specific year
  21. Python Pandas How to assign groupby operation results back to columns in parent dataframe?
  22. Pandas won’t fillna() inplace
  23. python Pandas DataFrame copy(deep=False) vs copy(deep=True) vs ‘=’
  24. Apply function to each cell in DataFrame
  25. FastAPI is very slow in returning a large amount of JSON data
  26. Store numpy.array in cells of a Pandas.DataFrame
  27. Python pandas: how to remove nan and -inf values
  28. Filtering pandas dataframe with multiple Boolean columns
  29. Pandas: Incrementally count occurrences in a column
  30. How to summarize on different groupby combinations?

Leave a Comment