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Tag: dataframe
all the possible combinations between the values that have the same ID value
I have an input pd dataframe with two columns, one is the sequence and the second is an ID (it is a number between 1-1000). I want to get all the possible combinations between the sequences that have the same ID. Input: desired output I have been reading into itertools but this only gives me all possible comb…
Python Pandas – How to compare values from two columns of a dataframe to another Dataframe columns?
I have two dataframes which I need to compare between two columns based on condition and print the output. For example: df1: df2: I want to write a code which compares ID column and date column between two dataframes is having a conditions like below, if “ID and date is matching from df1 to df2”: …
Subtracting the values in another DataFrame from every column in a pandas DataFrame
I have two DataFrames of 20 rows and 4 columns. The names and value types of the columns are the same. One of the columns is the title, the other 3 are values. Now I would like to create 3 separate tables/lists subtracting each value of df1.col1 – df2.col1 | df1.col2 – df2.col2 | df1.col3 – …
Delete characters on python dataframe, the number of characters removed per line varies
i want the first line to remove 0 characters to the right, the second line to remove 8 characters to the right, The resulting data will have the following form Thank you very much everyone. I am a newbie and my English is not very good. Hope everyone can help me Answer You can use Pandas’ string methods…
Extracting features from dataframe
I have pandas dataframe like this For example if “ex” start to 533,535,545 new variable should be : Sample output : How can i do that ? Answer You can use np.where: Update You can also use your Phone column directly: Note: If Phone column contains strings you can safely remove .astype(str).
Group values of a chosen column into a list when creating a dictionary from a pandas data frame with a non-unique index
I have a dataframe that looks like his I want to get a dictionary structure that looks as follows I have seen this answer. But it seems like overkill for what I want to do as it converts every value of the key inside the nested dictionary into a list. I would only like to convert col1 into a list
Create new dataframe that contain the average value from some of the columns in the old dataframe
I have a dataframe extracted from a csv file. I want to iterate a data process where only some of the columns’s data is the mean of n rows, while the rest of the columns is the first row for each iteration. For example, the data extracted from the csv consisted of 100 rows and 6 columns. I have a
Majority of my column headers are dates in my dataframe, not able to use the loc function – how do I fix this?
I have a dataframe that shows the number of downloads for each show, where every month is a column, with the actual start of each month being the data column name. df looks like this below: Show 2017-08-01 00:00:00 2017-09-01 00:00:00 2017-10-01 00:00:00 Show 1 23004 50320 450320 Show 2 30418 74021 92103 Howe…
How to create a list that groups columns according to their type?
I have a dataframe that contains over 200 columns. I need to create two lists that group columns by type. Rather than creating this list manually I tried different methods that did not work: or: or : Can anyone help me solve this problem? Answer I believe that for this question you can use df.select_dtypes li…