I have this dataset: Account lookup FY11USD FY12USD FY11local FY12local Sales CA 1000 5000 800 4800 Sales JP 5000 6500 10 15 Trying to arrive to get the data
I have a dataframe which contains some columns and snowflake table is having some columns. Some columns are same and some columns are different between them. As
I am currently trying to store the output obtained in a function during multiprocessing by using concurrent.futures.ProcessPoolExecutor from concurrent.futures
I am trying to convert the data from a json to dataframe. My son {"data":"key=IAfpK, age=58, key=WNVdi, age=64, key=jp9zt, age=47, key=0Sr4C, age=68, key=CGEqo,
I have the following data frame: data = {'date': ['3/24/2020', '3/25/2020', '3/26/2020', '3/27/2020'], 'Total1': [133731.9147, 141071.6383, -64629.74024
I have a pandas df as follows: Date UserID 2022-01-01 ABC 2022-01-02 ABC 2022-01-03 ABC 2022-01-01 DEF 2022-01-05 DEF
I am very new to the deep learning and computer vision. I want to do some face recognition project. For that I downloaded some images from Internet and converte
My goal: I have two time-series data frames, one with a time interval of 1m and the other with a time interval of 5m. The 5m data frame is a resampled version o
I have a timestamp column in a dataframe as below, and I want to create another column called day of week from that. How can do it? Input: Pickup date/time
I need to know the probability of selling similar items together, based on a sales history formatted like this: pd.DataFrame({"sale_id": [1, 1, 1, 2, 2, 3, 3, 3
df1 = pd.DataFrame(np.arange(15).reshape(5,3)) df1.iloc[:4,1] = np.nan df1.iloc[:2,2] = np.nan df1.dropna(thresh=1 ,axis=1) It seems that no nan value has bee
I have a pandas DataFrame with several flag/dummy variables of type Int64. I am aggregating on other fields and taking the mean value in order to calculate a pe
I am trying to read more than 100 csv files in python to keep the TOP 500 rows (they each have more than 55,0000 rows). So far I know how to do that, but I need
Im splitting a CSV file based on column "ColumnName". How can I make all the CSV files created save into a specified path? data = pd.read_csv(r'C:\Users\...\O
I am trying to write a commonality script which will return rows in a pandas dataframe that have two matching columns, and also will sum up the number of rows w
After pip installing a private repo in my Conda environment I now get the error TypeError: expected string or bytes-like object when trying to import pandas. I
I have a multi header dataframe and it looks like that: SPY ARKW Open Hig
all code: def rgb2hex(r,g,b): return '#{:02x}{:02x}{:02x}'.format(r,g,b) def rg(num): num = int(np.round((num / 100) * 124)) r = (124 - num) g
I have a sub-Yelp Dataset in csv, and attributes column is in json format. I'm trying to convert that column to new columns, but none of the relevant code on di
I am trying to save the results of a BigQuery query to a Panda DataFrame using bigquery.Client.query.to_dataframe() This query can return millions of rows. Gi