Replacing Values Based On Multiple Column Values And Stack Overflow
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Mar 13, 2015 I would like to simultaneously replace the values of multiple columns with corresponding values in other columns, based on the values in the first group of columns (specifically, where the one of the first columns is blank). Here's an example of what I'm trying to do: import pandas as pd. df = pd.DataFrame({'a1':['m', 'n', 'o', 'p'],
Dec 14, 2022 Replacing multiple columns with values in pandas. Asked 1 year, 4 months ago. Modified 1 year, 4 months ago. Viewed 354 times. 0. I am replacing multiple columns values in pandas with the pd.DataFrame.replace method, however, this will not update any values inside my loop, and I cannot understand why it wont. For example: import pandas as pd.
1 day ago 0. I have the next dataframe format: enter image description here. And I need replace columns based in from/to 'material_id', 'centro_cod' and 'subcanal' new values: enter image description here. I am not able to come up with a code that works ok for this replacement that depends on three columns at the same time. Thanks.
Jul 19, 2018 df = pd.DataFrame(raw_data, columns = ['Score1', 'Score2', 'Score3']) and I want to replace the -999's with NaN only in columns Score2 and Score3, leaving column Score1 unchanged. I want to reference the columns to be modified by name and they might not be consecutive. I have tried things like:
Jul 31, 2019 import numpy as np. data['column2'] = np.where((data['column1'] < 30) & (data['column2'] ==2), #Identifies the case to apply to. data['column2'], #This is the value that is inserted. data['column2']) #This is the column that is affected. data['column2'] = np.where((data['column1'] > 90) & (data['column2'] ==2), #For rows with column1 > 90
I'm learning ML basics and practising pandas. assuming the data frame is called df, column name = column name. Suppose I want to replace some 'dirty' values in the column 'column name'. There are "not known" values in this column that mean nothing so i would like to replace them with the mode. df['columnname'].mode()
Mar 2, 2021 1 Answer. Sorted by: 0. Your solution is close. Maybe just needed to add an apply. Try: df = pd.DataFrame({"Name":["Name1", "Name2", "Name#DATE#"], "Date":[20200126, 20200127, 20200210]}) df["NewColumn"] = df.apply(lambda row: row["Name"].replace("#DATE#", str(row["Date"])), axis = 1) Outputs: Share. Improve this answer.
Dec 27, 2020 asked Jul 29, 2016 at 7:34. enterML. 3,031 9 27 38. Add a comment. Sorted by: As already mentioned, you may use the function. After that, you should apply to move the MultiIndex to the columns: import pandas as pd. df = pd.DataFrame( [ ['Hospital 1', 'District 19', 5], ['Hospital 1', 'District 19', 10], ['Hospital 1', 'District 19', 6],
Oct 22, 2015 I think this is a quite simple approach when you want to filter a dataframe based on multiple columns from another dataframe or even based on a custom list. ... a')] #so df1 is filtered based on the values present in columns c and l of df2 (idxs) df1 = df1[pd.Series(list(zip(df1.c, df1.l ...
Dec 18, 2023 Pandas replace multiple values in a column based on the condition using replace () function. The df.replace () method in Pandas, is straightforward for replacing specific values in a DataFrame column. We can pass a dictionary specifying which values to replace and their new values.
A reduced example of my data looks like this: data <- data.frame(cbind(. id=c(1:7), set = c(1,2,2,3,1,3,2), choice = c("A1","A2","A1","A1","A2","A2","A2"), parameter1=c("blue","green","red","red","orange","blue","green"), parameter2=c("low", "low","high","medium","high","high","low") )) data.
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Feb 8, 2021 I have a PySpark dataframe with multiple columns (around 320) I have to find keyword baz in col A. in case the baz is found, then replace the existing value in all columns listed in the list ... Replace values in multiple columns based on value of one column. Ask Question Asked 3 years ...
1 Answer. Sorted by: 0. You can use the python ternary operator with list comprehension:
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Apr 9, 2024 Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. Provide details and share your research! But avoid Asking for help, clarification, or responding to other answers. Making statements based on opinion; back them up with references or personal experience. To learn more, see our tips on writing great ...
Jul 9, 2016 here is data set of weight. I have to replace values in weight column based on following conditon. if weight < 7 then replace values with a. if weight > = 7 and <8 replace values with b. if weight>= 8 replace with c. r. edited Jul 9, 2016 at 7:37. user2100721. 3,557 2 21 30.
May 4, 2021 103 1. Add a comment. 1 Answer. Sorted by: 0. Try this: A.loc[A.for_analysis & (A.index.isin(B.index)) , content_preprocessed] = B.content_preprocessed. Share. Improve this answer. edited May 4, 2021 at 20:18. Ethan. 1,633. answered May 4, 2021 at 19:08. tkarahan.
names.replace ( {____: {____:____, ____:____}}, inplace=True) print (names.head ()) IPython Shell. Slides. Here is an example of Replace multiple values III: As you saw in the video, you can use dictionaries to replace multiple values with just one value, even from multiple columns.
4 days ago I want to use pandas to get the number of value counts, based off of a group by: I've tried: Pivot Table. columns=["Question 1","Question 2"], aggfunc='size', fill_value=0) But that doesn't separate out the questions, it makes each question a layer in a multi-level index. Group By.
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Apr 8, 2024 I have a dataframe with two-level column names as: ID Value A B ----- 1 6 2 5 3 4 4 3 5 2 6 1 I want to change the column head with: ... Answers generated by artificial intelligence tools are not allowed on Stack Overflow. Learn more. ... Making statements based on opinion; back them up with ...
Apr 10, 2024 To solve your problem, make sure there are no duplicate values in the column you are using as an index before concatenation. You can use drop_duplicates() or is_unique before setting the index. Here's the code for is_unique :
14 hours ago I have a pandas dataframe with datetime and values column as below and the third column I would like to label as indicted in the df below: The seasons are winter (December2019, January2020, February2020), spring (March2020, April2020, May2020), summer (June2020, July2020, August2020) and autumn (September2020, October2020, November2020).
Mar 14, 2016 Based on Use updatcursor to replace values in multiple fields, Update multiple fields/columns in QGIS and Elseif Conditional Statement in QGIS Field Calculator. I have. # definition of the function which calculates new values. def upd_value(sfield, svalue, outvalue): # criteria. if search<>svalue: outvalue=svalue. return outvalue.
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