Using python, I want to merge on multiple variables; A, B, C, but when realization a-b-c in one dataset is missing, use the finer combination that the observation has (like b-c). Example: Suppose I have a dataset (df1) containing person’s characteristics (gender, married, city). And another dataset (df2) that I have the median income of a person according to their
Tag: merge
How to merge two dataframes and eliminate dupes
I am trying to merge two dataframes together. One has 1.5M rows and one has 15M rows. I was expecting the merged dataframe to haev 15M rows, but it actually has 178M rows!! I think my merge is doing some kind of Cartesian product, and this isn not what I want. This is what I tried, and got 178M rows.
pandas, merge duplicates if row contains wildcard text
I have a dataset of duplicates (ID). Dataset contains both information and emails. I’m trying to concatenate the emails (if row have character @) and then remove the duplicates. My original dataset: What I wish to accomplish: My current code is a modification of Eric Ed Lohmar code and give the following output. My issue is that I’m not able
Pandas merge 3 dataframes with same columns
I have 3 dataframes where I have one string column which I want to merge on and 2 similar columns which I want to add up df1: df2: df3: I want: df4: Answer try this, first pandas.concat then groupby
merge & write two jsonl (json lines) files into a new jsonl file in python3.6
Hello I have two jsonl files like so: one.jsonl second.jsonl And my goal is to write a new jsonl file (with encoding preserved) name merged_file.jsonl which will look like this: My approach is like this: However I am met with this error: TypeError: Object of type generator is not JSON serializable I will apprecite your hint/help in any ways. Thank
How to merge multiple json files into one file in python
I want to merge multiple json files into one file in python. The thing that I want to do is if there are several .json files like: The result.json files I want to get should look like: The result.json files I got is: I used the code to merge .json files from here and changed it very slightly like below:
How to merge a list composed of many variables and a DataFrame in a single Python Dataframe?
I’ve created a list named “list_data” which contains variables from many files. I also have a dataframe named “observation_data”. I’m trying to merge these 2 files with the key “time”, but nothing to do, all my tentatives fail. Here is my code and my results And I’ve tried: Which return an element of 0 row and 35 columns I’ve also
pandas merge columns to create new column with comma separated values
My dataframe has four columns with colors. I want to combine them into one column called “Colors” and use commas to separate the values. For example, I’m trying to combine into a Colors column like this : My code is: But the output for ID 120 is: And the output for ID 121 is: FOUND MY PROBLEM! Earlier in my
Pandas left join in place
I have a large data frame df and a small data frame df_right with 2 columns a and b. I want to do a simple left join / lookup on a without copying df. I come up with this code but I am not sure how robust it is: I know it certainly fails when there are duplicated keys: pandas
Join/Merge two Pandas dataframes and use columns as multiindex
I have two dataframes with KPIs by date. I want to combine them and use multi-index so that each KPI can be easily compared to the other for the two df. Like this: I have tried to extract each KPI into a series, rename the series accordingly (df1, df2), and then concatenating them using the keys argument of pd.concat but