Pandas version checks I have checked that this issue has not already been reported. I have confirmed this bug exists on the latest version of pandas. I have confirmed this bug exists on the main branch of pandas. Reproducible Example imp...
pandas_djmodel generates a Django model definition from a provided Pandas DataFrame. It comes handy when you need to save data from your DataFrame (being a third-party csv, xls, whatever) into your database. This is usually a bit of a tricky and boring task. You need to figure out what...
The DataFramed Podcast and our webinars and live trainings are a great way to keep up with trending topics in the industry. Final Thoughts From healthcare and finance to transportation and entertainment, machine learning algorithms are driving innovation and efficiency across various sectors. As we...
You can discover more about how data science is transforming healthcare in a DataFramed Podcast episode. Data science applications in marketing Marketing is a field that has been significantly transformed by the advent of data science. The applications in this industry are diverse, ranging from cust...
Recent Data Science Articles How to Convert a Dictionary Into a Pandas DataFrame 13 Python Snippets You Need to Know Fact Table vs. Dimension Table: What’s the Difference?
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Additionally, Python is very good for working with and understandingdata structures. It also offers a wealth oflibrariesand frameworks used heavily indata scienceandmachine learning. Recent Data Science Articles How to Convert a Dictionary Into a Pandas DataFrame ...
import shap import pandas as pd import numpy as np def kernel_fn(inp): return np.array([1.0]) data = pd.DataFrame({"feature": [1.0, 2.0], "embedding_feature": [np.array([3.0, 4.0]), np.array([5.0, 6.0])]}) explainer = shap.KernelExplainer(kernel_fn, data) shap_values = exp...
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