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39 questions
0
votes
1
answer
223
views
Iterate over specific column in dataframe with condition
I try to iterate over a specific column called Description of the dataframe RCMLocations.
When the value of the column "Description" is equal to the value found in another dataframe called &...
0
votes
2
answers
57
views
Pandas dataframe duplicates - Python
I have a simplified dataframe like this:
ID RecordingType Date Value
1 FEVR 2019-05-22 18:37:10 1.36
1 FEVR 2019-05-22 18:41:12 1.35
1 FEVR 2019-...
0
votes
0
answers
113
views
How to choose value of x and y using pandas dataframe in Python based on condition?
I have a dataframe df:
| a| b| c|
| 4| 6| 8|
| 2| 3| 1|
My aim is to split the dataframe into x and y such that for every x I choose, whole dataframe columns are considered except one which can ...
0
votes
1
answer
40
views
DataFrame Pandas condition over a column
Dear fellows I´ve difficulties by performing a condition over a column in my DataFrame, i want to iterate over the column and extract only the values that starts with the number 6, the values from ...
1
vote
0
answers
42
views
update a value by running through every row in a data frame with conditions (another version of extension)
This is a further extension of my previous question update a value by running through every row in a data frame with conditions (extension)
Working with the same data frame that has an added column:
...
0
votes
1
answer
82
views
update a value by running through every row in a data frame with conditions (extension)
This is an extension to the question, 'update a value by running through every row in a data frame with conditions' update a value by running through every row in a data frame with conditions
Working ...
0
votes
1
answer
313
views
How can I iterate over a dataframe containing multiple conditions (using iterrows()) and flag columns based on these conditions using np.where?
I am trying to generate flags based on multiple conditions.
I would like to do the following in a more iterable way:
# sample dataframe
data = [[1, 1980.0, 2000.0]]
df = pd.DataFrame(data, columns=[&...
0
votes
2
answers
45
views
get prefix out a size range with different size formats
I have column in a df with a size range with different sizeformats.
artikelkleurnummer size
6725 0161810ZWA B080
6726 0161810ZWA B085
6727 0161810ZWA B090
6728 ...
0
votes
1
answer
616
views
Loop to create multiple lists, with different naming
I would like to create a loop that creates multiple lists, named differently.
I have a dataframe that contains an excel file that I am trying to filter through depending on the month. (ideally the ...
-2
votes
1
answer
75
views
Filter and change data frame sum() and remove rows based on conditions
From data frame df need to receive data frame result, we need to iterate over df.id if there are more rows with same id and they are negative then we can sum() the quantity one by one, if the result ...
1
vote
1
answer
41
views
How to find the next zero that follows a specified value and pull out its time stamp?
I have a df that looks something like this but longer:
df = pd.DataFrame({
'Time' : [1,2,7,10,15,16,77,98,999,1000,1121,1245,1373,1490,1555],
'ID' : ['1', '1', '1', '1', '1', '2', '2', '2', '...
1
vote
1
answer
190
views
Select columns based on last value in pandas dataframe
I have a dataframe below as an example. I want to iterate through each wag number and select only columns A or B based on its last value. For example if we look at wag == 1 then last value of A == 3 ...
1
vote
1
answer
1k
views
How to apply multiple conditions to dataframe with loop
I have the following dataframe
dict1 = {'x_math_lp': {'John':'0',
'Lisa': 1,
'Karyn': '2'},
'o_math_lp': {'John': 0.005,
'Lisa': 0....
-1
votes
1
answer
30
views
How to combine lists(first three columns) to generate output shown in last column in python
List1
List2
List3
output
MAN
TH
ESE
MAN-TH-ESE
PA
MAN-TH-PA
PWP
TH
ESE
PWP-TH-ESE
PA
PWP-TH-PA
PR
ESE
PWP-PR-ESE
PA
PWP-PR-PA
MAD
TH
ESE
MAD-TH-ESE
PA
MAD-TH-PA
PR
ESE
MAD-PR-ESE
PA
MAD-PR-PA
ETI
TH
...
0
votes
1
answer
753
views
How to write for loop for iterating a DataFrame and subset it to include only those columns that are retrieved at each iteration?
The aim is to get a subset DataFrame such as with three columns after each iteration
'id', 'reference','sample 1' when sample 1 is 0 (do this for every sample)
'id', 'reference','sample 1' when sample ...