I’m trying to read one column from a csv (with header ‘Peptide Sequence’). However, this gives me the error as in the title. I know this probably has something to do with the encoding, which I know very little about. Is there a quick workaround for this? Answer read_csv takes an encoding arg…
Tag: pandas
How put all rows heights to 20, and all columns width to 30
I want to put all row heights to 20 and all column widths to 30. I tried this code: All is just with pandas dataframe. Answer Creating excel file Changing size of columns and rows Before After Reference https://xlsxwriter.readthedocs.io/worksheet.html You might also want to take a look at this to dynamically …
How to read specific data and write to csv file
I have data in xml file and I am reading 3 columns : price , name , calories xml data Code : The above code gives me data but need to store this data to csv file How do I need to write logic for this. Is it possible to do with pandas / csv Need to add my headers
Pandas Reading txt file as int instad of hex (str)
I am currently trying to use Pandas to sort through Can-Bus data however when I try to make a DataFrame with 2 similar text files, I get two completely different DataFrames. When I make a data frame with the txt file “CANDUMP With Codes.txt” I get the following DataFrame: When I make a DataFrame w…
Take the average of nlargest columns ignoring the non-numeric columns
Is there any function to find out first ‘n’ largest numbers and take an average of those two into a different column in pandas. Note: Time or any non-numeric column to be ignored. time n1 n2 n3 n4 average_largest_2 11:50 1 2 3 4 3.5 12:50 5 6 7 8 7.5 13:50 8 7 6 5 7.5 Use this code
Number Formatting in DataFrame
How can I format a subset of a DataFrame according to a custom formatting logic? Before: Country Last Previous Abs. Change 0 United States 8.60 8.30 0.30 1 Japan 2.50 2.50 0.00 2 China 2.00 2.10 -0.10 3 United Kingdom 9.10 9.00 0.10 4 Euro Area 8.10 7.40 0.70 After: Country Last Previous Abs. Change 0 United …
How to efficiently join a small table to a large one on python
I have two tables similar to these: My goal is to multiply df[‘x’] by df[‘y’] based on id. My current solution works, but it seems to me that there should be a more efficient/elegant way of doing this. This is my code: Answer You can use map to recover the multiplication factor from df…
Pandas apply labels from df1 to df2 if values are within a range in df1
I have two dataframes, df1 and df2. df1 is a table of labels set between ranges: Where the ID column relates to a higher order grouping. Both df1 and df2 contain shared ID’s and I want to apply the labels from df1 to df2. df2 is a table of regularly sampled data: The desired output would look like this:…
Divide into groups according to the specified attribute
I need to group the data in such a way that if the difference between the adjacent values from column a1 was equal to the same pre-specified value, then they belong to the same group. If the value between two adjacent elements is different, then all subsequent data belong to a different group. For example, I …
Adding different days in a DataFrame with a fixed date
I have a DataFrame with numbers (‘number’) and I wanted to add these numbers to a date. Unfortunately my attempts don’t work and I always get error messages no matter how I try…. This is a code example how I tried it: As an example of the result (YYYY/MM/DD) should come out a column or…