Pandas data frame filter column names regex

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Sat Oct 31 2020 00:38:58 GMT+0000 (Coordinated Universal Time)

# 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]')

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https://www.geeksforgeeks.org/python-pandas-dataframe-filter/

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Pandas

@ianh

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@ianh

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#wordpress #php #stock #quantity #filter

Filter get_stock_quantity method for WooCommerce products

add_filter( 'woocommerce_product_get_stock_quantity' ,'custom_get_stock_quantity', 10, 2 );
add_filter( 'woocommerce_product_variation_get_stock_quantity' ,'custom_get_stock_quantity', 10, 2 );
function custom_get_stock_quantity( $value, $product ) {
    $value = 15; // <== Just for testing
    return $value;
}

#python #pandas #data-cleaning

Forward fills Column names

def ffill_cols(df, cols_to_fill_name='Unn'):
    """
    Forward fills column names. Propagate last valid column name forward to next invalid column. Works similarly to pandas
    ffill().
    
    :param df: pandas Dataframe; Dataframe
    :param cols_to_fill_name: str; The name of the columns you would like forward filled. Default is 'Unn' as
    the default name pandas gives unnamed columns is 'Unnamed'
    
    :returns: list; List of new column names
    """
    cols = df.columns.to_list()
    for i, j in enumerate(cols):
        if j.startswith(cols_to_fill_name):
            cols[i] = cols[i-1]
    return cols

#python #datetime #pandas

Convert Excel Days Date to real date Pandas

df['SettlementDate'] = pd.TimedeltaIndex(df['SettlementDate'], unit='d') + dt.datetime(1900,1,1)

#pandas #filter

Pandas data frame filter column names regex

# 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]')

#pandas #filter #column

Pandas filter dataframe columns

# applying filter function 
df.filter(["Name", "College", "Salary"])

#pandas #isin #filter

Filter column using isin Pandas

c3 = pd.Series(['China', 'US'])
df[df['countries'].isin(c1)]

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

Filter, then map an array : React

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;

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

Filter an Array of Objects by Value: React

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;

#powershell #filter

How to Use PowerShell Where-Object to Filter All the Things

Get-Service | Where-Object -FilterScript {$_.StartType -EQ 'Automatic'}

#swift #filter #array #ios

filter an array in Swift

To Filter Model Array:

var filteredItems = unfilteredItems.filter { $0.cat == "garden" }

Arrange :

self.chatModelArray = self.chatModelArray.sorted { $0.time == $1.time }

To Filter name : 

var filteredItems = unfilteredItems.filter { $0.name.localizedCaseInsensitiveContains(textField.text ?? "") }

To Filter an Array:

let result = arr.filter {$0.contains("ali")}

#wordpress #php #stock #quantity #filter

WooCommerce - Custom Admin Order Line Item Functionality

/**
*   WooCommerce woocommerce_order_item_line_item_html action hook registeration.
*/
add_action('woocommerce_order_item_line_item_html', 'woocommerce_order_item_line_item_html', 1, 3);


/**
* Callback Listener for customised line item functionality in the admin.
*/
function woocommerce_order_item_line_item_html($item_id, $item, $order){
    // Add your custom line item functionality.
    // A good example would be order fulfillment for a line item.
}

#powerautomate #sharepoint #filter

Filter Get Items based on date Column

CheckOutFrom eq '@{formatDateTime(utcNow(), 'yyyy-MM-dd')}'

#sharepoint #filter #powerapps

Set a variable with the current users first name, from the currentUser variable

Set(currentUser, User()); //require for the on start property

Set(varFirstName, Trim(Last(FirstN(Split(currentUser.FullName," "), 1)).Result))

#powerapps #filter #sortby

Show newly created items first / sort by most recent entry, will only show items created today

Sort(Filter('YouTube Resources', Text(Created,"mm/dd/yyyy") = Text(Today(),"mm/dd/yyyy")), Created,Descending)

#wordpress #acf #require #field #conditionally #filter

Conditionaly require field based on another field in ACF WordPress

<?php

add_filter( 'acf/validate_value/name=property_size', 'validate_property_size_field', 10, 4 );

function validate_property_size_field( $valid, $value, $field, $input ){

  // bail early if value is already invalid
  if ( ! $valid ) { return $valid; }

  $property_type = $_POST['acf']['field_5f0aa92348bb6'];

  if ( $property_type == 'Rent' ){
    if ( ! $value ) {
      $valid = __( 'This field is required for Rental Properties' );
    }
  }

  return $valid;

}

Pandas data frame filter column names regex

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