Incorrect output that I am getting, because if I incorrectly capture the substrings, the replacements will also be incorrect Having well-defined limits, I don’t understand why this capture pattern try to capture beyond them? And the output that I need is that: Answer There are several errors in your code, among which: You are printing the result of the one_day_or_another_day_relative_to_a_date_func
Tag: replace
How to replace irrelevant data into mean values?
Let’s say I have 600,000 data points in column for age. In the data there are values 0 and -1, which is not relevant for age. How can I change both 0 and -1 values in my data to the column mean value using python? The code so far: Answer You can find the mean separatly and then use the
Why can’t I replace Ellipsis using `pd.DataFrame.replace`?
I have this following pd.DataFrame: I am trying to replace the Ellipsis with 1. I know I could do something like: But, for some reason. If I do: Or: I get the following error: Why doesn’t replace allow me to replace Ellipsis? I know how to fix it, I want to know why this happens. The strange thing here is
How can I replace a string value with its corresponding Boolean value in a nested dictionary in Python?
I was recently given a project to do for my Python college course. Basically, you save a dictionary in a csv file with csv.DictWriter, and then you load it back into another dictionary with csv.DictReader. However, for some reason, one of the automated unittests fails my function because the final dictionary contains values “True” or “False” instead of Bool values
I’m trying to replace/convert all the A’s and B’s in a particular column to 1 and O in a csv file
This is the error i’m getting This is what i have tried repl = {‘Y’:’1′, ‘N’:’0′} prices_dataframe[‘col_state’] = prices_dataframe[‘col_state’].replace(repl, regex=True) Answer The replace() method is unique to strings, and at some point the value you are trying to replace is being a boolean (True or False). If you still want to replace it, you can transform the value into a
Find and replace no updating values
I’m writing a script that combine csv into one and then do a find an replace for specific formatting and ask the user to correct the ones that not match. The output is not on the right csv format It should be Answer This problems has a number of different parts, and you’ve made a good attempt :) I recommend
Regex removes certain words from my string – Python
The below code is to lookup a dictionary and replace string with values corresponding to dict’s key. Can someone help me understand why my code omits certain words? It removes lh preceeded and followed with a . i.e., lh. and .lh. How to overcome this? I get the output left hand l.h. -left hand- l.h plh phli lhp 1lh lh1
Filter pandas dataframe column and replace values using a list condition
I have the following dataframe: And I have this list of possible acceptable values for everyone that has a type of Contingent Workers: I need to find a way to confirm if everyone under the type “Contingent Worker” have an accetpable value in “Job” and, if not (or blank value), replace that value for “Consultant” resulting in this dataframe: What
Replacing values in pandas dataframe using nested loop based on conditions
I want to replace the first 3 values with 1 by a 0 if the current row value df.iloc[i,0] is 0 by iterating through the dataframe df. After replacing the values the dafaframe iteration should skip the new added value and start from the next index-in the following example from index 7. If the last tow values in the dataframe
Create patterns to detect the occurrence of sequences so that you can restrict in which cases to replace the detected substrings in the input string
These are the input string examples: I have tried with a simple replacement, but I think that the cases must be further restricted with a regex pattern so that unwanted replacements are not made… , and to be able to obtain this string as output… the correct output for each of these examples: In this case, the pseudo-pattern is: some