I tried to come up with a way to copy data from a sheet in an excel file as
import pandas as pd
origionalFile = pd.ExcelFile('AnnualReport-V5.0.xlsx')
Transfers = pd.read_excel(origionalFile, 'Sheet1')
I have another excel file, which named 'AnnualReport-V6.0.xlsx', it has existing data in the sheet named 'Transfers', I tried to use the dataframe I created easily on to replace data in the sheet 'Transfers' in 'AnnualReport-V6.0.xlsx' from column B, leave column A as it is.
I did a few searches, the closest to what I want is this
Modifying an excel sheet in a excel book with pandas
but it does not allow me the keep column A in the original sheet (column A has some equations I do want to keep them), any idea how to do it? Thanks
Would reading column A and inserting it to the fresh data you want to write solve your problem?
Related
I have excel file (.xlsx) with many sheets which contains many rows, columns, different column colors, size and so on... I just have to add some new rows(work with data not with as it called "conditional formatting"?).
I use pandas to import and save excel file. I'am also quite new to python.. I could not find the answer yet.
So my question is, is there any possibility to open excel file and update it with all its existing parameters like colors, font size and so on??
I'm trying to open and save it like:
my_excel_file = pd.read_excel(r'my_file.xlsx')
my_excel_file.to_excel('my_file.xlsx'), index = False)
all the sheets are gone, only one sheet saved, the same with colors, font size and so on.
From what it appears, you are opening one tab/sheet within Pandas and then saving that dataframe to a single sheet as well.
If you want to load all the data from the various tabs of your excel workbook, first load them and assign a name to them and thereafter save each of those dataframes to a specific tab in excel, for example:
import pandas as pd
df1 = pd.read_excel('file_name.xlsx', engine='openpyxl', sheet_name='tab1')
df2 = pd.read_excel('file_name.xlsx', engine='openpyxl', sheet_name='tab2')
Thereafter specify that you want to save these dataframes in different worksheets as opposed to overwriting the same sheet:
df1.to_excel('name_of_excel_file.xlsx', sheet_name='Sheet_name_1')
df2.to_excel('name_of_excel_file.xlsx', sheet_name='Sheet_name_2')
Perform as many times as need to - you can even create a function/loop to do it for you if it is repetitive.
I am trying to export a dataframe I've generated in Pandas to an Excel Workbook. I have been able to get that part working, but unfortunately no matter what I try, the dataframe goes into the workbook as a brand new worksheet.
What I am ultimately trying to do here is create a program that pulls API data from a website and imports it in an existing Excel sheet in order to create some sort of "live updating excel workbook". This means that the worksheet already has proper formatting, vba, and other calculated columns applied, and all of this would ideally stay the same except for the basic data in the dataframe I'm importing.
Anyway to go about this? Any direction at all would be quite helpful. Thanks.
Here is my current code:
file='testbook.xlsx'
writer = pd.ExcelWriter(file, engine = 'xlsxwriter')
df.to_excel(writer, sheet_name="Sheet1")
workbook = writer.book
worksheet = writer.sheets["Sheet1")
writer.save
In case u have both existing excel file and DataFrame in same format then you can simply import your exiting excel file into another DataFrame and concat both the DataFrames then save into new excel or existing one.
df1["df"] = pd.read_excel('testbook.xlsx')
df2["df"] = 1#your dataFrame
df = pd.concat([df1, df2])
df.to_excel('testbook.xlsx')
There are multiple ways of doing it if you want to do it completely using pandas library this will work.
After parsing eml files and extracting them to create many dataframes, I want to save them to one Excel file.
After saving all my dataframes into the Excel file I still have only the last dataframe among them not all of them in the Sheet.
Someone have an idea how I can solve that ?
you should use sheet name parameter:
import pandas as pd
df_1 = pd.DataFrame()
df_2 = pd.DataFrame()
df_1.to_excel(filename, sheet_name='df1')
df_2.to_excel(filename, sheet_name='df2')
This is my database:
https://archive.ics.uci.edu/ml/datasets/Parkinson+Speech+Dataset+with++Multiple+Types+of+Sound+Recordings
This database consist of training data and test data. The training data consists of many features; one column is one feature. I intend to convert each column into a separate Excel sheet.
The following is my Python code that I formulated to convert the entire text file into a CSV. But I intend to convert the entire text file into Excel sheets. For example, the entire text file contains 10 columns, so I want to create 10 Excel sheets with each column separated into one Excel sheet. Can any expert guide me on how to do it? I am completely new to Python so I hope someone can help me.
import pandas as pd
read_file = pd.read_csv (r'C://Users/RichardStone/Pycharm/Project/train_data.txt')
read_file.to_csv (r'C://Users/RichardStone/Pycharm/Project/train_data.csv', index=None)
Try this.
sheetnames = list()
for i in range(len(read_file.columns)):
sheetnames.append('Sheet' + str(i+1))
for i in range(len(read_file.columns)):
read_file.iloc[:, i].to_excel(sheetnames[i] + '.xlsx', index = False)
I need some help with the following.
I currently use python pandas to open a massive spreadsheet every day (this spreadsheet is a report, hence every day the data inside the spreadsheet is different). Pandas dataframe allows me to quickly crunch the data and generate a final output table, with much less data than the initial excel file.
Now, on day 1, I would need to add this output dataframe (3 rows 10 columns) to a new excel sheet (let's say sheet 1).
On day 2, I would need to take the new output of the dataframe and append it to the existing sheet 1. So at the end of day 2, the table in sheet1 would have 6 rows and 10 columns.
On day 3, same thing. I will launch my python pnadas tool, read data from the excel report, generate an output dataframe 3x10 and append it again to my excel file.
I can't find a way to append to an existing excel table.
Could anybody help?
Many thanks in advance,
Andrea
If you use openpyxl's utilities for dataframes then you should be able to do everything you need with the existing workbook, assuming this fits into memory.
from openpyxl import load_workbook
from openpyxl.utils.dataframe import dataframe_to_rows
wb = load_workbook("C:\Andrea\master_file.xlsx")
ws = wb[SHEETNAME]
for row in dataframe_to_rows(dt_today):
ws.append(row)