let’s say I have the below dataframe: which looks like this: As you can see I have my wanted columns as rows in col1 and not all values have a Phone number, is there a way for me to transform this dataframe to look like this: I have tried to transpose in Excel, do a Pivot and a Pivot_Table: But
Tag: pivot
Pivot matrix to time-series – Python
I’ve got a dataframe with date as first column and time as the name of the other columns. Date 13:00 14:00 15:00 16:00 … 2022-01-01 B R M M … 2022-01-02 B B B M … 2022-01-03 R B B M … How could I transform that matrix into a datetime time-series? My objective its something like this: Date Data
Python: Pivot dataframe to introduce new columns
I have the following dataframe I would like to pivot it to get the following: Answer
Python: Rows to Column in Pandas Dataframe
I have following dataframe: Out: There are different metrics at column “metric_name” with its own value. To have a better dataset for time series forecasting I want to convert my Dataframe. I want every single metric in “metric_name” as new column in the dataset. See here all different metrics in “metric_name”: Out: What can I do to solve this? I
pivot df with duplicates as new rows
Evening, I have a dataframe that I want to reshape. there are duplicate id vars for some columns, and i want the duplicate values to appear as new rows my data looks like this, and i want to have the ids as a row, with the group as column, and the choices as the values. if there are multiple choices
In pandas, how to pivot a dataframe on a categorical series with missing categories?
I have a pandas dataframe with a categorical series that has missing categories. In the example shown below, group has the categories “a”, “b”, and “c”, but there are no cases of “c” in the dataframe. The resulting pivoted dataframe has columns a and b. I expected a c column containing all missing value as well. How can I pivot
Non-recursive Quicksort
How do i make the bottom function non-recursive, ive tried but by creating new functions which is not the point in this problem. The first function is given and the inplace_quicksort_non_recursive is created by me. What do i need to create so the bottom function becomes non-recursive Answer The question is using a variation of Hoare partition scheme (but with
Importing multiple excel files with similar name, pivoting each excel file and then appending the results into a single file
My problem statement is as above. Below is my progress so far I want to extract multiple excel files from the same location namely Test1 Test2 Test3…(I am using glob to do this) (DONE) 2. I want to iterate through the folder and find files starting with a string(DONE) 3. I then formed an empty dataframe. I want to then
extract new columns and fill values based on categorical values data frame in python
I have a data frame where one column is categorical strings and the next one is the values corresponding to it: I want to create new columns based on df.status column, and fill empty ones with np.nan, requires pivot on multiple columns: I am looking for an efficient solution that works for large data frames. Answer You want:
Plotting Pandas DataFrame from pivot
I am trying to plot a line graph comparing the Murder Rates of particular States through the years 1960-1962 using Pandas in a Jupyter Notebook. A little context about where I am now, and how I arrived here: I’m using a crime csv file, which looks like this: I’m only interested in 3 columns for the time being: State, Year,