Return multiple match values in one cell of a data frame.

Create Percentage Table from Dataframe for Multiple Selected Columns.

How to keep the number and names of columns in training and test dataset equal after one hot encoding?.

Pandas delete rows where any column (but 2) does not match a regex.

R - summarize factor level for every combination of two other factor levels.

Dask unknown divisions with Datetime index.

Attaching a dataframe to a shapefile and plotting it.

Extract rows with maximum values in pandas dataframe.

How to iterate over pandas dataframe rows, find string and separate into colums?.

Pandas: Getting new dataframe from existing dataframe from list of substring present in column name.

Sort Pandas Dataframe which contains german umlauts.

Resolve complementary missing values between rows.

How to vectorize a non-overlapped dataframe to overlapped shiftting dataframe?.

Plotting a dataframe (pandas) in pycharm, not displaying.

How to iterate over rows from different dataframe and to use it as a value in other?.

How to unstack pandas with columns that are both arrays and plain int?.

Change value in pandas after chained loc and iloc.

python script failling to read csvfile with error - StopIteration.

Pandas: Find empty/missing values and add them to DataFrame.

how to apply preprocessing methods on several columns at one time in sklearn.

How to determine if elements of a column is in another column?.

‘claim_lines_amountcharge_intval’:Ĭolumn_names = ĭff = dff.groupby(, as_index=False).agg(lambda x: list(x))ĭic]. ‘claim_benefits_assignment_certification’:,

Jsonfile = ‘Responsibility_calculation_json.json’

I am looking for multi-level and I am unsure of suitable methods to use.Ĭsvfile = ‘Responsibility_calculation_testdata.csv’ However, as I am unaware of ‘agg’ and ‘lambda’ functionalities, I am getting a json file that has single-level hierarchy. I have explored couple of solutions available and created a script (pasted below) for converting to json. However, I am asked to create a script that reads csv file and composes json request.

Python nested json to csv