Skip to content
#

pandas

Here are 15,048 public repositories matching this topic...

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • Updated Nov 4, 2021
  • Python
datasets
ck37
ck37 commented Jan 20, 2022

Is your feature request related to a problem? Please describe.

I am uploading our dataset and models for the "Constructing interval measures" method we've developed, which uses item response theory to convert multiple discrete labels into a continuous spectrum for hate speech. Once we have this outcome our NLP models conduct regression rather than classification, so binary metrics are not r

tomwhite
tomwhite commented Feb 6, 2022

What happened:

linspace gives a division by zero error, when NumPy returns an empty array on the same input.

What you expected to happen:

Behaviour the same as NumPy.

Minimal Complete Verifiable Example:

>>> import numpy as np
>>> np.linspace(0, 0, 0, endpoint=False)
array([], dtype=float64)
>>> import dask.array as da
>>> da.linspace(0, 0, 0, endpoint=F
Data-Science-For-Beginners

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

  • Updated Feb 6, 2020
bdice
bdice commented Feb 3, 2022

Is your feature request related to a problem? Please describe.
While reviewing PR #9817 to introduce DataFrame.diff, I noticed that it is restricted to acting on numeric types.

A time-series diff is probably a very common user need, if provided a series of timestamps and seeking the durations between observations.

Pandas supports diffs on non-numeric types like timestamps:

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

  • Updated Feb 11, 2022
  • Python

Improve this page

Add a description, image, and links to the pandas topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the pandas topic, visit your repo's landing page and select "manage topics."

Learn more