Combining two dataframes in Pandas on multiple columns when one of the target columns do not have matching values? Question: I have two dataframes like this df1 = time, lat, lon, lev, val1 1 10 10 1 10 df2 = time, lat, lon, lev, val2 1 10 10 2 20 where the first four columns …
Concatenating CSVs into dataframe with filename column Question: I am trying to concat multiple CSVs that live in subfolders of my parent directory into a data frame, while also adding a new filename column. /ParentDirectory │ │ ├───SubFolder 1 │ test1.csv │ ├───SubFolder 2 │ test2.csv │ ├───SubFolder 3 │ test3.csv │ test4.csv │ ├───SubFolder …
Concat List of DataFrames row-wise – throws pandas.errors.InvalidIndexError: Question: I am trying to concatenate a list df_l of ~200 Dataframes, which all have the same number of columns and names. When I try to run: df = pd.concat(df_l, axis=0) it throws the error: pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects Following this post …
concat 2 df by time index without dropping rows Question: I convert the ‘time’ columns to index with the setindex function. I have 2 dfs, one with quarter hourly data and time as index. The second one contains hourly data with the identical index but hourly. Now I would like to concat the dfs so …
Concat and drop columns function Question: I normally use the common python codes to concat a few columns and drop the rest. But when I try to create it in a function (def), it doesn’t work. And I am pretty sure that I’m not doing it in the correct way. Can anyone support with this …
how to concatenate two lists in python with numbers and strings? Question: i want to merge two lists together, but not one after the other list1=[1,2,3,4] list2=[a,b,c,d,e,f] and the output should be list3=[1a,2b,3c,4d,e,f] Asked By: vanessa santiago || Source Answers: Use itertools.zip_longest to iterate over lists of uneven length, and provide a default value (fillvalue) …
concatenate features with identical ID in DataFrame Question: I have tables that have many features, and these features can have the same ID. How can I check each for ID, then concatenate identical ID features in one row? For example, here’s an example of a simple table stored in a dataframe several features and one …
How to merge two DataFrame containing same keys but different values in same columns in python Question: I have one dataframe that contains all ids df1 = pd.DataFrame({‘id’: [‘A01’, ‘A02’, ‘A03’, ‘A04’, ‘A05’, ‘A06′,’A07’], ‘Name’: [”, ”, ”, ”, ‘MKI’, ‘OPU’,”]}) Second DataFrame that contains some Ids has different name in them df2 = pd.DataFrame({‘id’: …
Merge two dataframes by respecting the values in specific columns Question: I have two such data frames: df1: DayYear_Count Time 0 2018-03-26 00:00:00 84 00:00:00 2018-03-26 01:00:00 84 01:00:00 2018-03-26 02:00:00 84 02:00:00 2018-03-26 03:00:00 84 03:00:00 2018-03-26 04:00:00 84 04:00:00 df2: Time Temp DayYear_Count 0 00:00:00 6.065167 84 1 01:00:00 5.692167 84 2 02:00:00 …
Concatenate text file lines with condition in python Question: I have a text file in this format: 0.jpg 12,13,14,15,16 0.jpg 13,14,15,16,17 1.jpg 1,2,3,4,5 1.jpg 2,3,4,5,6 I want to check if the image name is the same and then concatenate those lines into one line with the following format: 0.jpg 12,13,14,15,16 13,14,15,16,17 1.jpg 1,2,3,4,5 2,3,4,5,6 I …
