Reading rpt files with Pandas Last Updated : 16 May, 2021 Comments Improve Suggest changes Like Article Like Report In most cases, we usually have a CSV file to load the data from, but there are other formats such as JSON, rpt, TSV, etc. that can be used to store data. Pandas provide us with the utility to load data from them. In this article, we'll see how we can load data from an rpt file with the use of Pandas. An RPT file is a report or output file created by Crystal Reports, a program used for business-oriented reporting. It can store data from multiple sources and different types of databases. File in use: here Method 1: Reading using read_fwf() One way to read the rpt file is by simply using the read_fwf method. All you need to do is to pass the file path, and it'll load the data into a dataframe and define the delimiter for it. That is why it usually becomes essential in the case of rpt files to understand the arrangement of data. After this, you just have to pass the delimiter and file name to the method. Example: Python3 import pandas as pd df = pd.read_fwf('sample.rpt', delimiter='|') display(df) Output: Method 2: Reading using read_csv Once you know the delimiter, you can also use the read_csv() method to read that file by passing the delimiter in the method. Let's read the above file using read_csv. Example: Python3 import pandas as pd df = pd.read_csv('sample.rpt', delimiter = '|') display(df) Output: Comment More infoAdvertise with us Next Article Reading rpt files with Pandas H herumbshandilya Follow Improve Article Tags : Python Python-pandas Python pandas-io Practice Tags : python Similar Reads How to Read Text Files with Pandas? In this article, we will discuss how to read text files with pandas in Python. In Python, the Pandas module allows us to load DataFrames from external files and work on them. The dataset can be in different types of files.Text File UsedRead Text Files with PandasBelow are the methods by which we can 6 min read How to Read JSON Files with Pandas? JSON (JavaScript Object Notation) store data using key-value pairs. Reading JSON files using Pandas is simple and helpful when you're working with data in .json format. There are mainly three methods to read Json file using Pandas Some of them are:Using pd.read_json() MethodUsing JSON Module and pd. 2 min read Data Processing with Pandas Data Processing is an important part of any task that includes data-driven work. It helps us to provide meaningful insights from the data. As we know Python is a widely used programming language, and there are various libraries and tools available for data processing. In this article, we are going t 10 min read How to skip rows while reading csv file using Pandas? Python is a good language for doing data analysis because of the amazing ecosystem of data-centric python packages. Pandas package is one of them and makes importing and analyzing data so much easier. Here, we will discuss how to skip rows while reading csv file. We will use read_csv() method of Pan 3 min read Streamlined Data Ingestion with Pandas Data Ingestion is the process of, transferring data, from varied sources to an approach, where it can be analyzed, archived, or utilized by an establishment. The usual steps, involved in this process, are drawing out data, from its current place, converting the data, and, finally loading it, in a lo 9 min read Like