In the example above, you create several different objects and serialize them with pickle. This produces a single string with the serialized result: Shell $ python pickling.py This is my pickled object: b'\x80
To write a variable to a file in Python using thewrite()method, first open the file in write mode withopen('filename.txt', 'w'). Then, usefile_object.write('Your string here\n')to write the string to the file, and finally, close the file withfile_object.close(). This method is...
T >>> df.to_csv('data.csv.zip') Here, you create a compressed .csv file as an archive. The size of the regular .csv file is 1048 bytes, while the compressed file only has 766 bytes. You can open this compressed file as usual with the pandas read_csv() function: Python >>>...
When you run the above Python code, it will create a filedata.pklfile and save the dictionary object data in it, then it will load the file data and display the data on the screen like below. {'name': 'John', 'age': 30, 'city': 'New York'} 5. Pickle & Unpickle Custom Objec...
env with older numpy might not be able to open files saved on envs with newer numpy version. e.g. >>> b2 = np.load('b.npy.pkl', allow_pickle=True) Traceback (most recent call last): File "/home/user/.local/lib/python3.9/site-packages/numpy/lib/npyio.py", line 441, in ...
The file extension is .pkl. In this article, we will use gzip compression. # Reading df = pd.read_pickle(file_name) # Writing df.to_pickle(file_name, compression = ...) # None or "gzip" Parquet Apache Parquet is a columnar storage format available to any project in the Hadoop ecosy...
In your app directory, create a new file called Dockerfile. nano Dockerfile Paste the following code into the Dockerfile: FROM serge-chat/serge:latest COPY my-model.pkl /app/ CMD ["python", "app.py"] This Dockerfile tells Docker to use the latest version of the Serge image as the ba...
We're building this as a web service to make it suitable for containerization. Step 2: Create requirements.txt The requirements.txt file lists the Python libraries required to run the script. Create this file in the same directory as app.py: # requirements.txt scikit-learn==1.3.0 numpy==...
1. Introduction to Streamlit Streamlit is an open-source python library for creating and sharing web apps for data science and machine learning projects. The library can help you create and deploy your data science solution in a few minutes with a few lines of code. ...
By Jason Brownlee on August 27, 2020 in XGBoost 26 Share Post Share XGBoost can be used to create some of the most performant models for tabular data using the gradient boosting algorithm. Once trained, it is often a good practice to save your model to file for later use in making ...