I'm reading a csv file with movie data into a dataframe on Python but the main column have multiple columns inside it, like a dictionary. I'm trying to split that column in multiple columns and repeting the same id for the same movies, but can't seem to make it work. Each one of the lines in the csv file looks something like this and the dataframe I'm trying to split is this. Can somebody help me?
Related
I have multiple excel files with different columns and some of them have same columns with additional data added as additional columns. I created a masterfile which contain all the column headers from each excel file and now I want to export data from individual excel files into the masterfile. Ideally, each row representing all the information about one single item.
I tried merging and concatenating the files, it adds all the data as new rows so, now I have some columns with repeated data but they also contain additional data in different columns.
What I want now is to recognize the columns that are already present and fill in the new data instead of repeating the all columns using python. I cannot share the data or the code so, looking for some help or idea to get this done. Any help would be appreciated, Thanks in advance!
You are probably merging the wrong way.
Not sure about your masterfile, sounds not very intuitive.
Make sure your rows have a specific ID that identifies it.
Then always perform the merge with that id and the 'inner' merge type.
I'm using an excel sheet with many different dataframes on it. I'd like to import those dataframes but separately. For now When i import the excel_file with pandas, it creates one single dataframe full of blanks where the dataframe are delimited. How can I create a different dataframe for each on of them?
Thanks
If you're using the pandas.read_excel() function, you can simply use the usecols parameter to specify which columns you want to include in each dataframe. Only downside would be you'd need to do a read_excel call for each of the dataframes you want to read in.
Looking to produce the following output in the image below in an export to excel.
Input is a dataframe and output is multiple sheets that is determind by a column in the dataframe. In addition each sheet should be the same format, with some merging and cells with values selected from the dataframe.
I have tried to solve this in two parts - splitting into separate sheets which i convert the dataframe into a dictionary and then xlsxwriter for editing the sheets but I cannot combine the two into one bit of code which is desirable. any help much appreciated to get started on how to combine the two approaches or a new approach altogether
Consider I have a huge excel sheet, with multiple columns and entries. However, there exists a particular column (COLUMN A) containing boolean values 0s and 1s. Now I wish to split my parent excel sheet into 2 sheets, based on the values of the COLUMN A. I already know that this can be done using VBA codes. However, I wanna try this on python.
My idea is that we can iterate through the said column values, and if a condition is satisfied, pick up the whole row and write it in a new sheet.
I am learning the language, can use numpy and pandas a bit to create linear regression models and the like. I'd like to work on this 'personal-project'. Would be glad if anyone would help me with this, provide a few hints or something to start with. Thank you.
How I would go about it:
Read the full excel sheet into a pandas dataframe
df = pd.from_excel("file_name.xlsx")
Filter the dataframe by values in that columns
df1 = df[df["COLUMN A"]==1]
df0 = df[df["COLUMN A"]==0]
Read those new dataframes to a new excel workbook, or new excel sheet on an exisiting workbook, using the pandas ExcelWriter: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.ExcelWriter.html
Don't forget to handle missing data in column A, if there is any.
I am just a student, so perhaps there are more efficient ways to do this, but I use pandas quite a bit in my undergraduate research and this is what I would do. Best of luck you :)
I have a data which consist of wrapped cell content
Wrapped data cell
My aim is to split the wrapped cell into multiple rows but yet retaining the UID through filling which identify the customer that buy the fruits and vegetables. To achieve something like this.
Multi-Row
Previously, I have tried using lambda to split the cell contents but it didn't work. Been stuck for quite awhile already would be glad if someone could just give me some guidance on this.