An anonymous user has suggested some changes to your code. It seems like a valid point, but I don't know for sure. Perhaps you might wish to consider it. CreateTextFile "in. OpenTextFile "out. ReadAll inFile. Close ' Write file outFile. Zimba Zimba 1, 12 12 silver badges 17 17 bronze badges.
Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. This article is aimed at Python beginners who are interested in learning to parse text files. In this article, I will introduce you to my system for parsing files. I will briefly touch on parsing files in standard formats, but what I want to focus on is the parsing of complex text files. What do I mean by complex? Well, we will get to that, young padawan.
For reference, the slide deck that I use to present on this topic is available here. All of the code and the sample text that I use is available in my Github repo here. First, let us understand what the problem is.
Why do we even need to parse files? In an imaginary world where all data existed in the same format, one could expect all programs to input and output that data. There would be no need to parse files. However, we live in a world where there is a wide variety of data formats.
Some data formats are better suited to different applications. An individual program can only be expected to cater for a selection of these data formats. So, inevitably there is a need to convert data from one format to another for consumption by different programs. Sometimes data is not even in a standard format which makes things a little harder. So, here is my alternate definition.
With that definition in mind, we can imagine that our input may be in any format. So, the first step, when faced with any parsing problem, is to understand the input data format.
If you are lucky, there will be documentation that describes the data format. If not, you may have to decipher the data format for yourselves. That is always fun. Once you understand the input data, the next step is to determine what would be a more usable format. Well, this depends entirely on how you plan on using the data.
For further data analysis, I highly recommend reading the data into a pandas DataFrame. If you a Python data analyst then you are most likely familiar with pandas. It is a Python package that provides the DataFrame class and other functions to do insanely powerful data analysis with minimal effort.
It is an abstraction on top of Numpy which provides multi-dimensional arrays, similar to Matlab. The DataFrame is a 2D array, but it can have multiple row and column indices, which pandas calls MultiIndex , that essentially allows it to store multi-dimensional data. This guide discusses how to convert data read from a text file into its proper data type in RhinoScript. A frequent workflow is using a text file - generated outside Rhino - to change a Rhino model.
You may know how to read in a text file and parse it with VBScript, but what about parsing the text file and assigning the values as a variable? Note how every line read from the text file is assigned to the strLine variable before it is printed. Everything read from a text file using VBScript comes in as a string data type. It was at Meissen that the first true hard-paste porcelain was manufactured outside of China, and the story of that accomplishment has the high drama of fiction - all the more intriguing because it is true.
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