Read and write excel file in python
IntroductionJust like with all other types of files, you can use the Pandas library to read and write Excel files using Python as well. In this short tutorial, we are going to discuss how to read and write Excel files via Show
In addition to simple reading and writing, we will also learn how to write multiple If you'd like to learn more about other file types, we've got you covered:
Reading and Writing Excel Files in Python with PandasNaturally, to use Pandas, we first have to install it. The easiest method to install it is via If you're running Windows:
If you're using Linux or MacOS:
Note that you may get a
If this is the case, then you'll need to install the missing module(s):
Writing Excel Files Using PandasWe'll be storing the information we'd like to write to an Excel file in a First, let's import the Pandas module:
Now, let's use a dictionary to populate a
The keys in our dictionary will serve as column names. Similarly, the values become the rows containing the information. Now, we can use the
Here's the Excel file that was created: Please note that we are not using any parameters in our example. Therefore, the sheet within the file retains its default name - "Sheet 1". As you can see, our Excel file has an additional column containing numbers.
These numbers are the indices for each row, coming straight from the Pandas We can change the name of our sheet by adding the
Similarly, adding the
Now, the Excel file looks like this: Writing Multiple DataFrames to an Excel FileIt is also possible to write multiple dataframes to an Excel file. If you'd like to, you can set a different sheet for each dataframe as well:
Check out our hands-on, practical guide to learning Git, with best-practices, industry-accepted standards, and included cheat sheet. Stop Googling Git commands and actually learn it! Here, we've created 3 different dataframes containing various names of employees and their salaries as data. Each of these dataframes is populated by its respective dictionary. We've combined these three within the Finally, we've used the Before we even write anything, we loop through the keys of Here is the generated file: You can see that the Excel file has three different sheets named The engine parameter in the Depending upon the Python modules installed on your system, the other options for the engine attribute are: Further details of using the Last but not least, in the code above we have to explicitly save the file using Reading Excel Files with PandasIn contrast to writing
For this example, we're reading this Excel file. Here, the only required argument is the path to the Excel file. The contents are read and packed into a Note: Using this method, although the simplest one, will only read the first sheet. Let's take a look at the output of the Pandas assigns a row label or numeric index to the We can override the default index by passing one of the columns in the Excel file as the
Running this code will result in: In the example above, we have replaced the default index with the "Grade" column from the Excel file. However, you should only override the default index if you have a column with values that could serve as a better index. Reading Specific Columns from an Excel FileReading a file in its entirety is useful, though in many cases, you'd really want to access a certain element. For example, you might want to read the element's value and assign it to a field of an object. Again, this is done using the We do this by specifying the numeric index of each column:
Running this code will yield: As you can see, we are only retrieving the columns specified
in the ConclusionWe've covered some general usage of the Using various parameters, we can alter the behavior of these functions, allowing us to build customized files, rather than just dumping everything from a How do you read and write a Excel file in Python?Openpyxl is a Python library for reading and writing Excel (with extension xlsx/xlsm/xltx/xltm) files. The openpyxl module allows Python program to read and modify Excel files.
How do I write an xlsx file in Python?Create Excel XLSX Files in Python. Create a new object of Workbook class.. Access the desired Worksheet in the workbook using Workbook. getWorksheets(). get(index) method.. Put value in the desired cell using Worksheet. getCells(). get(“A1”). ... . Save the workbook as . xlsx file using Workbook. save() method.. How do you read and write Excel file in Python using pandas?Using Pandas to Write and Read Excel Files. xlwt to write to . xls files.. openpyxl or XlsxWriter to write to . xlsx files.. xlrd to read Excel files.. How read and open Excel file in Python?# Import the xlrd module.. import xlrd.. # Define the location of the file.. loc = ("path of file"). # To open the Workbook.. wb = xlrd.open_workbook(loc). sheet = wb.sheet_by_index(0). # For row 0 and column 0.. |