a.moussa a.moussa - 1 year ago 118
Python Question

Convert spark DataFrame column to python list

I work on a dataframe with two column, mvv and count.

| 1 | 5 |
| 2 | 9 |
| 3 | 3 |
| 4 | 1 |

i would like to obtain two list containing mvv values and count value. Something like

mvv = [1,2,3,4]
count = [5,9,3,1]

So, I tried the following code: The first line should return a python list of row. I wanted to see the first value:

mvv_list = mvv_count_df.select('mvv').collect()
firstvalue = mvv_list[0].getInt(0)

But I get an error message with the second line:

AttributeError: getInt

Answer Source

See, why this way that you are doing is not working. First, you are trying to get integer from a Row Type, the output of your collect is like this:

>>> mvv_list = mvv_count_df.select('mvv').collect()
>>> mvv_list[0]
Out: Row(mvv=1)

If you take something like this:

>>> firstvalue = mvv_list[0].mvv
Out: 1

You will get the mvv value. If you want all the information of the array you can take something like this:

>>> mvv_array = [int(i.mvv) for i in mvv_list.collect()]
>>> mvv_array
Out: [1,2,3,4]

But if you do this row below you get:

>>> count_array = [int(i.count) for i in mvv_list.collect()]
Out: TypeError: int() argument must be a string or a number, not 'builtin_function_or_method'

This Happens due to the method count is a built-in method. And the column has the same name as count. A work around to do this is change the column name of count to _count:

>>> mvv_list = mvv_list.selectExpr("mvv as mvv", "count as _count")

And then try to do this:

>>> mvv_array = [int(i.mvv) for i in mvv_list.collect()]
>>> mvv_count = [int(i._count) for i in mvv_list.collect()]

And finally it work!

I hope that will help you.

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