My code is as follows: How can I add “Week” column and values like “2020-01”, “2020-02”? “2020-01” means the first week of 2020. Answer Get the year using dt year attribute and concatenate with week attribute. zfill is to fill leading zeros.
Tag: pandas
How to convert dataframe into dictionary of sets?
I have a dataframe and want to convert a dictionary consists of set. To be specific, my dataframe and what I want to make it as below: My goal: I also wrote a code below, however, I am not sure it is suitable. In reality, the data is large, so I would like to know any tips or other efficient
Replace apostrophes and curly brackets with blank space in multiple columns of dataframe
I have a table (dataframe) where multiple string columns contain curly brackets and apostrophes, which I am trying to replace with a blank space: I started with the genre1 column but I keep getting a key error. This is the code I am trying to remove curly bracket: Answer This will work! What you are doing is …
Amount of months calculation in DataFrame in Python Pandas?
I have DataFrame like below: And I need to calculate number of MONTHS from Date column until today. Below I upload result which I need: Answer You can modify this solution for subtract by scalar d:
Pandas to lookup and return corresponding values from many dataframes
A list of names and I want to retrieve each of the correspondent information in different data frames, to form a new dataframe. I converted the list into a 1 column dataframe, then to look up its corresponding values in different dataframes. The idea is visualized as: I have tried: But it returns the error me…
PYTHON: Extracting data from .xlsx using pandas ExcelWriter and outputting as text on image using PIL
1 / Data: 2 / Set-up (pandas): 3 / Formatting (e.g. for first row): 4 / Once accomplished, the data needs to be printed on an image. Set-up (PIL): 5 / Finished product: ^ This is an example of the output of row #1 (if successful), what am I missing here? How can I loop it? Thanks in advance! Answer
Running two dask-ml imputers simultaneously instead of sequentially
I can impute the mean and most frequent value using dask-ml like so, this works fine: But what if I have 100 million rows of data it seems that dask would do two loops when it could have done only one, is it possible to run both imputers simultaneously and/or in parallel instead of sequentially? What would be…
The string is not callable in Python
I am trying to export a dict to a csv. I am pulling data from an api and need it to print to a CSV. I am using: The API I am calling is below: Getting the data I would like to pull is here: I am trying to use Pandas to send the data to the CSV file The
Python skip empty cells
I want to be able to search through my dataframe and skip cells that are blank. However, when i read in the DF it reads the blanks as “nan” DF1 I want to be able to filter through Address1, Street and Town. If there is text inside of those columns I want to add a “|” at the start but
Sort filepaths according to their respective file extensions
I am trying to sort filepaths according to their respective file extensions. I would like to have an output like this: FileType FilePath .h a/b/c/d/xyz.h .h a/b/c/d/xyz1.h .class a/b/c/d/xyz.class .class a/b/c/d/xyz1.class .jar a/b/c/d/xyz.jar .jar a/b/c/d/xyz1.jar But the output I have now is like this: outp…