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Tag: pandas

Manipulate string to drop columns on pandas

I’m trying to manipulate a list (type: string) to use that list to drop some columns from a dataframe. Dataframe The list is from a dataframe that I created a condition to return columns whose sums of all values ​​are zero: Selecting the columns with sum = 0 Importing the dataframe and turning it into a…

How to create a new column conditionally?

I want to add a new column called id to my pandas DataFrame. If the value of id is just a fixed number, then I can create a new column as follows: However, in my case I need to create batches of 3 rows, as follows: How can I do it? Answer You can create array by np.arange with integer

How to fill a field based on other column in Python?

I need to fill a column’s fields, based on the other columns, in this way: The first df has two columns – names and ages of the kids, but some rows are NaNs, however nothing should be done with the NaNs, just ignore them. But the ages should be filled in, based on the second df. First df: is this:

Python Pandas count function on condition and subset

i have a dataframe like this I want to build the following count function to count the items in my dataframe like shown below. The Function should count by the Subset [‘F_Class’,’Product’] If df[‘Packages’] == 2 then increase by +2 else increase by +1 The result should look…

How can I append the last row on each dataframe

I am trying to use for loop to append the last row into a new dataframe. However, it only can append the last data into the new dataframe. May I know how can I fix it? The code looks like this: Answer Try change the line: to: Your code is now resetting new_df to a new value in every iteration