How to select rows with multiple filters?

How to select rows with multiple filters?

How to select rows with multiple filters?

This recipe helps you select rows with multiple filters

In [1]:
# How to select rows with multiple filters
def Snippet_108():
    print(format('How to select rows with multiple filters','*^82'))

    import warnings

    # load libraries
    import pandas as pd

    # Create an example dataframe
    data = {'name': ['A', 'B', 'C', 'D', 'E'],
            'score': [1,2,3,4,5]}

    df = pd.DataFrame(data)
    print(); print(df)

    # Select rows of the dataframe where df.score is greater than 1 and less and 5
    df1 = df[(df['score'] > 1) & (df['score'] < 5)]
    print(); print(df1)

*********************How to select rows with multiple filters*********************

  name  score
0    A      1
1    B      2
2    C      3
3    D      4
4    E      5

  name  score
1    B      2
2    C      3
3    D      4

Relevant Projects

Predict Macro Economic Trends using Kaggle Financial Dataset
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.

Credit Card Fraud Detection as a Classification Problem
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.

Time Series Forecasting with LSTM Neural Network Python
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

Solving Multiple Classification use cases Using H2O
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

Natural language processing Chatbot application using NLTK for text classification
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

Resume parsing with Machine learning - NLP with Python OCR and Spacy
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Choosing the right Time Series Forecasting Methods
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.

Music Recommendation System Project using Python and R
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.