I’m using a Jupyter notebook and I’m trying to open a data file and keep getting an error code AttributeError:’pandas._libs.properties.AxisProperty’ object has no attribute ‘unique’. This is my first time using Jupyter So I am not familiar with any error like this. Answer You are not using pd.DataFrame right. See below corrected code:
Tag: dataframe
How to convert first column of dataframe in to its headers
I have dataframe df: O/P should be: I want column containing(a, b,c,d,e) as header of my dataframe. Could anyone help? Answer If your dataframe is pandas and its name is df. Try solving it with pandas: Firstly convert initial df content to a list, afterwards create a new dataframe defining its columns with the list.
How to accumulate in a df parsed data through a loop with pandas from a web scrapping?
I want to create a df with an historical dataset by scrapping a website, but I struggle to accumulate the full period within the loop. I am able to download a day, but when I try to create a loop to storage a set of iterations I am not able to accumulate the data in the dataframe. The df I
Find trigrams for all groupby clusters in a Pandas Dataframe and return in a new column
I’m trying to return the highest frequency trigram in a new column in a pandas dataframe for each group of keywords. (Essentially something like a groupby with transform, returning the highest trigram in a new column). An example dataframe with dummy data Desired Output Minimum Reproducible Example What I’ve tried. I have working code to find bigrams but it’s a
Group by the column in df python
I have a simple df. It has two columns. I want to groupby the values based on column a. Here is a simple example: Any input would be greatly appreciated! Desired output is: df Answer Here’s a way to do what you want. First you want to group by column ‘a’. Normally groupby is used to calculate group aggregation functions:
ValueError: Invalid fill method. Expecting pad (ffill) or backfill (bfill). Got nearest
I have this df: And when I try to run this interpolation: pmms_df.interpolate(method = ‘nearest’, inplace = True) I get ValueError: Invalid fill method. Expecting pad (ffill) or backfill (bfill). Got nearest I read in this post that pandas interpolate doesn’t do well with the time columns, so I tried this: pmms_df[[‘U.S. 30 yr FRM’, ‘U.S. 15 yr FRM’]].interpolate(method =
Is there any python way to repeat values of a row combining them in a column with a list type?
I have two dataframes, the first is this one, created with the following code: The second one is the following: What I need to do is to add a column to the second data frame that contains lists of values taken from the first data frame. I will show it and then explain it with words: The lists should contain
How to access multiple CSV files that share the same name from multiple folders from a zip file
I have a zip file (stored locally) with multiple folders in it. In each folder are a few CSV files. I need to only access 1 particular CSV from each folder. The CSV’s I am trying to access from each folder all share the same name, but I cannot figure out how to access a particular file from each folder,
DataFrame from list of string dicts
So I have a list where each entry looks something like this: I am trying to get a dataframe that looks like this But I’m having trouble converting the format into something that can be read into a DataFrame. I know that pandas should automatically convert dicts into dataframes, but since my list elements are surrounded by quotes, it’s getting
Using one column values as index to list type values in another in pandas
We have data representing temperature forecast for every 3 hours period from the moment. We also know number of 3 hour periods after which the weather is needed. So, we have dataframe: We need to create column with particular element from the list in ‘T_forecast’ columns.The result should be: I can get it for particular value, with code: But I