I have a pandas df of addresses like this: I want to extract the name of city such that expected results: My code is below: My results: However, when the city name doesn’t end with a , it will pick up the rest of the string. If i don’t end my regex in , I won’t get the full city
Tag: pandas
pandas sort alphabetically for every row based on column content
I have a dataframe that looks like this: Col1 Col2 Bonnie Anna Connor Ethan Sophia Daniel And I want to sort its content alphabetically so that the final result is: Col1 Col2 Anna Bonnie Connor Ethan Daniel Sophia I want each pair to be ordered alphabetically. As they are in different columns, I don’t k…
Pandas data frame index
if I have a Series But, I need a standard index = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], with index[4, 7, 8] values equal to zeros. So I expect the updated series will be How should I update the series? Thank you in advance! Answer Try this: Output:
How to get a value in a column as an index
I assign the eligible index value to A column and then df.ffill() Now I want to use the value of A column as an index and assign the obtained value to the expcted column I try df[‘expected’]=df[‘price’][df[‘A’]] but it doesn’t work. input expected result table Answer …
Show how when values rise in one column, so does the values in another one
I’m working with a covid dataset for some python exercises I am working through to try learn. I’ve got it by doing the normal: import pandas as pd import numpy as np In this dataset there are 2 columns called BodyTemp and SpO2, what I am looking to try do is show how the results of the columns are…
Loop over regular expressions using Pandas str.extract
I want to extract numeric values from arbitrary strings in a column in my pandas dataframe. Two regexes that shall be looped over the column “watt” using str.extract. The str.extract function shall be applied to all NaN values. On the next iteration, non NaN values (=matches) shall be excluded fro…
How to reset the incrementing values when assigning values to groups in a pandas dataframe?
I have a pandas dataframe which looks like this after the following code: For clarity, row_l0 relates to Category, row_l1 relates to Process and row_l2 to Parent. The row_l0 is correct, but I can’t seem to be able to reset the count/grouping for the subsequent groups (row_l1 and row_l2) when I get to ca…
Is there a way of selecting all records of a certain ID after randomly selecting the IDs?
I have a number of values per ID in this format: I want to randomly select IDs but keep all values per ID, so for example, if I wanted to get 2 random IDs; the outcome would look like this: Giving me, ID 2 & 5. Answer Use numpy.random.choice to select random values then select them. Edit: please read the
Separate columns of a DataFrame by days of the week
Let it be the following Python Panda Dataframe (the original could include dates for several months): Hours 2022-06-06 2022-06-07 2022-06-08 2022-06-09 2022-06-10 2022-06-11 2022-06-12 2022-06-13 2022-06-14 2022-06-15 2022-06-16 2022-06-17 2022-06-18 2022-06-19 00:00 3 0 0 3 23 43 1 2 3 3 7 3 1 0 05:00 5 4 0 …
python jupyter Same condition tested in an if statement behave differently
Have a Jupyter Lab notebook which at a certain point compares two dataframes. df_lastweek is an extraction of only last week’s data while the df_lastmonth is the extraction of the last 30 days. The two dataframes are different the latter having more rows than the former. The following if comparing the t…