How to compress multiple lists into one list and keeping the same size list? Question: I am trying to merge multiple lists that outputs 1 list of all the values and keep the zeros. The indices and values need to be kept in the same index location. Input: list1 = [0, 0, 0, 0, 0, …
Is it possible to join reference data into a nested dict in a pandas dataframe? Question: I am trying to join two pandas data frames – the "left" table, which contains a column with a complex type (an array of dicts) and the "right" table is a flat reference table. pseudo table representation of these …
Merge certain columns of a pandas dataframe with data from another dataframe by condition Question: I have the following challenge: I have two Pandas Dataframes with information about eg. chemical substances and related to some additional information. E.g. production region or country. For example, like this: data1 = { ‘Substance’ : [‘Substance1’, ‘Substance2’, ‘Substance1’, ‘Substance3’, …
Merge two Dataframe without duplicate rows pandas Question: We have problem in merge two different Pandas data frame, using the merge method it duplicate the rows with the same ID We have two different DF in Pandas: DF1: ID Gender 0 1 Male 1 2 Female 2 3 Female DF2 ID Vote 0 1 30 …
Combine multiple identical nested dictionaries of a list by merging the value Question: I want to combine multiple identical nested dictionaries of a list by merging the value and store them in a list. Suppose I have a dictionary like this: ex = {‘tran’: { ‘precision’: 0.6666666666666666, ‘recall’: 0.6486486486486487, ‘f1_score’: 0.6575342465753425}, ‘act’: { ‘coy’: {‘precision’: …
Merging Dictionaries Python Question: Hey guys i want to merge these 45 dictionaries into one. they all have the same keys. d1 = {‘Image’: ‘https://upload.wikimedia.org/wikipedia/commons/thumb/6/6e/Signal_Iduna_Park_before_the_match_%284th_july_2006%29.jpg/150px-Signal_Iduna_Park_before_the_match_%284th_july_2006%29.jpg’, ‘Stadium’: ‘Westfalenstadion’, ‘Capacity’: ‘81,365’, ‘City’: ‘Dortmund’, ‘Population’: ‘586,852’, ‘Postal Code’: ‘44001-44388’, ‘State’: ‘North Rhine-Westphalia’, ‘Home Team’: ‘Borussia Dortmund’, ‘Opened Year’: ‘1974’, ‘Notes’: ‘UEFA Category 4 stadium’} d2 = {‘Image’: ‘https://upload.wikimedia.org/wikipedia/commons/thumb/1/12/M%C3%BCnchen_-_Allianz-Arena_%28Luftbild%29.jpg/150px-M%C3%BCnchen_-_Allianz-Arena_%28Luftbild%29.jpg’, …
Merging of multiples time series Question: Today I tried to merge multiples time series, corresponding to clinical recording (Heart rate, Arterial Pressure…), to make TSfresh analysis. Some of this have the same time step, and other have different one, like this : df1 = df1 = pd.read_csv("PATH", delimiter=’t’, header=None, index_col=0) Values Date 06/03/2021 17:22 30 …
Combining xarray datasets with combine_by_coords() for 2 dimensions simultaneously in python Question: I have multiple xarray datasets with the dimensions: target-latitudes (180) and target-longitudes 360) and one variable: variable1. Each of these datasets represents a source-gridcell and thus corresponds to a particular source-latitude and source-longitude; e.g., the dataset sourcelat25_sourcelon126_mm3_per_yr.nc corresponds to a gridcell with the …
pandas conditional merge on multiple columns Question: I have two dataframes of structured similar to: conditions = pd.DataFrame({ ‘keywords_0’:["a", "c", "e"], ‘keywords_1’:["b", "d", "f"], ‘keywords_2’:["00", "01", "02"], ‘price’: [1, 2 ,3] }) target = pd.DataFrame({ ‘keywords_0’:["a", "c", "e"], ‘keywords_1’:["b", "d", np.nan], ‘keywords_2’:["00", np.nan, np.nan] }) conditions: target: expected result: I would like to do inner …
New Column based on aggregation from different df with specific conditions Question: I have two data frames: df1 includes rows with a date df2 includes rows with type and date I would like to create column "b" in df1, that is a list of all types (including duplicates) of df2 with df2.date less then df1.date …
