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import React from 'react';

const people = [
  {
    name: 'James',
    age: 31,
  },
  {
    name: 'John',
    age: 45,
  },
  {
    name: 'Paul',
    age: 65,
  },
  {
    name: 'Ringo',
    age: 49,
  },
  {
    name: 'George',
    age: 34,
  }
];

function App() {
  return (
    <div>
      {people.filter(person => person.age < 60).map(filteredPerson => (
        <li>
          {filteredPerson.name}
        </li>
      ))}
    </div>
  );
}

export default App;
import React from 'react';

const names = ['James', 'John', 'Paul', 'Ringo', 'George'];

function App() {
  return (
    <div>
      {names.filter(name => name.includes('J')).map(filteredName => (
        <li>
          {filteredName}
        </li>
      ))}
    </div>
  );
}

export default App;
c3 = pd.Series(['China', 'US'])
df[df['countries'].isin(c1)]
# applying filter function 
df.filter(["Name", "College", "Salary"]) 

# importing pandas as pd 
import pandas as pd 
  
# Creating the dataframe  
df = pd.read_csv("nba.csv") 
  
# Using regular expression to extract all 
# columns which has letter 'a' or 'A' in its name. 
df.filter(regex ='[aA]') 
star

Tue Jun 29 2021 09:34:54 GMT+0000 (UTC) https://upmostly.com/tutorials/react-filter-filtering-arrays-in-react-with-examples

#array #react.js #javascript #react #filter #map
star

Sat Oct 31 2020 00:55:40 GMT+0000 (UTC) https://stackoverflow.com/questions/19960077/how-to-filter-pandas-dataframe-using-in-and-not-in-like-in-sql

#pandas #isin #filter
star

Sat Oct 31 2020 00:40:59 GMT+0000 (UTC) https://www.geeksforgeeks.org/python-pandas-dataframe-filter/

#pandas #filter #column
star

Sat Oct 31 2020 00:38:58 GMT+0000 (UTC) https://www.geeksforgeeks.org/python-pandas-dataframe-filter/

#pandas #filter

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