I have a address table like this I need to extract the ID when I got a name. However, I don’t know the name is a City name or Area name. So I want to use conditional check the name in City or Area and then extract the ID I have tried this method, but it was not run for
Tag: dataframe
Adding Sparkline to Pandas Dataframe
I would like to draw and append sparklines to my dataframe. I have worked through a bunch of examples which ended up running into Base64 encoded output. I was hoping to use a simple approach, perhaps using matplotlib. I need to visualise linecharts for each row, I am unsure whether a plt figure can be appende…
Obtaining n number highest values in dataframe also containing strings
I have a dataframe and I would like to find the n highest numbers in each column. There are a variety of methods to do this, but all seem to fail as a result of strings also being in the dataframe. I have tried a multitude of ways to get around this but I am always stumped by the presence
How to loop through elements from a python pandas dataframe to a new nested dictionary?
I am currently using pandas library to read data from a CSV file. The data includes a “data” column which consists of 1’s and 0’s, and a “published_at” column which has unique time and date stamps (I have converted it to become the index of the dataframe). Click here to see…
How to convert multiple pandas columns from string boolean to boolean?
I have this dataframe I want to convert the string booleans to booleans. I have tried and but neither of these worked. Is it possible to do convert the type of multiple columns in a single line or do I have to convert the relevant columns one at a time? Answer You can use the dictionary version of replace.
Divide dataframe column by a specific cell
I want to divide a dataframe column by a specific cell in the same dataframe. I have a dataframe like this: I want to compute the score_ratio by dividing the score by the ‘baseline’ score of that date. The score_ratio for (date, type) = (20201101, experiment1) should be obtained by dividing its sc…
Most efficient way to combine large Pandas DataFrames based on multiple column values
I am processing information in several Pandas DataFrames with 10,000+ rows. I have… df1, student information df2, student responses I want… a DataFrame with columns for the class number, student ID, and unique assignment titles. The assignment columns should contain the students’ highest sco…
replace/change duplicate columns values where column name is same but values are different, then drop duplicate columns
Is there any way to drop duplicate columns, but replacing their values depending upon conditions like in table below, I would like to remove duplicate/second A and B columns, but want to replace the value of primary A and B (1st and 2nd column) where value is 0 but 1 in duplicate columns. Ex – In 3rd ro…
Reading a CSV from a particular line
I am writing a program working on weather station’s data, and this is the CSV I get from my station: The issue is that pandas has troubles opening it. First, I had an error message that I managed to bypass by writing: Now the other issue is that the pandas file only displays the first 4 lines: The CSV c…
Drop Non-equivalent Multiindex Rows in Pandas Dataframe
Goal If sub-column min equals to sub-column max and if min and max sub-column do not equal to each other in any of the column (ao, his, cyp1a2s, cyp3a4s in this case), drop the row. Example Want Attempt Note The actual dataframe has 50+ columns. Answer Use DataFrame.xs for DataFrame by second levels of MultiI…