i’m trying to split my dataframe into 10 rows and find the aggregate function (mean, SD, etc) for each 10 rows then merge it into 1 dataframe again. Previously i had grouped the data using .groupby functio, but having trouble to split the data into 10 rows. this is what i have code : def ..
Category : pandas
i like to split the column to str and numbers data={"name&numb":["cat 123","34 dog","bird 93","dolphin dof 8 ","lion cat 76","tiger 22 animal "]} df=pd.DataFrame.from_dict(data) i did this so split the numbers df["number"]=df["name&numb"].str.extract(‘(d+)’) now i like to make one more colum so i get only string, I do not know if it will affect but in the ..
I have a data entry work in which I have to type tha data in a software (provided by company) from the excel file and no copy paste is allowed, if tried, my id will be rejected and I will lost my caution money, so I thought taking help of python pyautogui module for this ..
I used df = pd.read_csv(‘text.csv’, skiprows=1) to skip the text headings in the data set. The output is similar to this: 24424 5435 4343 0 43533 3432 5346 1 42243 4353 3434 However, what I want is: 0 24424 5435 4343 1 43533 3432 5346 2 42243 4353 3434 Because the first line currently won’t ..
The problem is everytime I try to add new objects to excel file with old objects I just get the same rows and no new values within my excel file getting saved Code provided below else: df_read = pd.read_excel(f"{date}"+".xlsx") array_time = df_read[‘Время’].tolist() array_price = df_read[‘Сумма счета’].tolist() time_new_list = [] time_new_list.append(time) price_new_list = [] price_new_list.append(ba) df ..
My problem is a column with multiple values per row. In this case it is movie genres: I made a column for every unique value of "Genre" but all values are 0. How can I assign 1s to the new single genre columns, depending on if the genre is in the first "Genre" column? Or ..
I have a dataframe that contains categories, users and events, I want to add a column that counts how many times that category has been seen by that user at the time of that event. I have used group-by and agg but that gives me the total count, not the count at the time of ..
Following code is working c1 = da[‘A’]<=50 c2 = da[‘A’]>=35 df = da[c1 & c2][‘B’] But how can I write this in one line? Source: Python..
1 2 3 4 year a h f h 2000 r r f h 2000 h y g h 2001 h i g e 2004 g f g b 2006 g d g v 2006 Is there a way in pandas to sum the frequency of each value by year? I tried stack(), and groupby(), ..
I have a directory of multiple (500+) .csv files, each with multiple columns. For each .csv file, I want to calculate the number of observations, as well as both the sum and mean for one specific column. If I was doing this for one .csv file, I would import the .csv as a dataframe and ..
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