我关注DataFrame
product count
Id
175 '409' 41
175 '407' 8
175 '0.5L' 4
175 '1.5L' 4
177 'SCHWEPPES' 6
177 'TONIC 1L' 4
如何将其转换为以下词典列表：
[{'409':41,'407':8, '0.5L':4, '1.5L':4},
{'SCHWEPPES':6, 'TONIC 1L':4}]
非常感谢您的帮助。
答案 0 :(得分：3)
In [14]: df.set_index('product').T.to_dict('r')
Out[14]: [{'0.5L': 4, '1.5L': 4, '407': 8, '409': 41, 'SCHWEPPES': 6, 'TONIC 1L': 4}]
答案 1 :(得分：1)
好像你需要import javax.swing.*;
import java.io.File;
import java.io.FileNotFoundException;
import java.util.Scanner;
public class TwoDimArray {
private int arr[][];
public TwoDimArray() {
loadArray();
}
public void loadArray(){
/**
* loadArray() method loads user defined filename
* @return text file's contents
*/
String fileName = "";
try {
fileName = JOptionPane.showInputDialog("Enter file name: ");
}
catch (Exception e){
JOptionPane.showMessageDialog(null, "can not open " + fileName + " to read");
return;
}
try {
Scanner in = new Scanner(new File(fileName));
int rows, cols;
rows = in.nextInt();
cols = in.nextInt();
arr = new int[rows][cols];
for(int i = 0; i < rows; ++i){
for(int j = 0; j < cols; ++j){
arr[i][j] = in.nextInt();
}
}
in.close();
} catch (FileNotFoundException e) {
JOptionPane.showMessageDialog(null, "can not open " + fileName + " to read");
}
}
public int getArrayMaxValue(){
/**
* @return the max vale of the array
*/
int maxVal = Integer.MIN_VALUE;
for(int i = 0; i < arr.length; ++i){
for(int j = 0; j < arr.length; ++j){
if(arr[i][j] > maxVal){
maxVal = arr[i][j];
}
}
}
return maxVal;
}
public int getArrayMinValue(){
/**
* @return the minimum value of the array
*/
int minVal = Integer.MAX_VALUE;
for(int i = 0; i < arr.length; ++i){
for(int j = 0; j < arr.length; ++j){
if(arr[i][j] < minVal){
minVal = arr[i][j];
}
}
}
return minVal;
}
public static int getTotal(int[][] array) {
int total = 0;
for (int row = 0; row < array.length; row++) {
for (int col = 0; col < array[row].length; col++) {
total += array[row][col];
}
}
return total;
}
public static int getAverage(int[][] array) {
return getTotal(array) / getElementCount(array);
}
public static int getRowTotal(int[][] array, int row) {
int total = 0;
for (int col = 0; col < array[row].length; col++) {
total += array[row][col];
}
return total;
}
public static int getColumnTotal(int[][] array, int col) {
int total = 0;
for (int row = 0; row < array.length; row++) {
total += array[row][col];
}
return total;
}
public static int getHighestInRow(int[][] array, int row) {
int highest = array[row][0];
for (int col = 1; col < array[row].length; col++) {
if (array[row][col] > highest) {
highest = array[row][col];
}
}
return highest;
}
public static int getLowestInRow(int[][] array, int row) {
int lowest = array[row][0];
for (int col = 1; col < array[row].length; col++) {
if (array[row][col] < lowest) {
lowest = array[row][col];
}
}
return lowest;
}
public static int getElementCount(int[][] array) {
int count = 0;
for (int row = 0; row < array.length; row++) {
count += array[row].length;
}
return count;
}
public static void main(String[] args){
/**
* what to put in int[][] array to allow println of average, getrowtotal,
* etc..
*/
int[][] array = ???;
TwoDimArray twoDimArray = new TwoDimArray();
System.out.println("Max value: " + twoDimArray.getArrayMaxValue());
System.out.println("Min value: " + twoDimArray.getArrayMinValue());
System.out.println(getAverage(array));
}
索引
groupby以列表形式输出
df.groupby(level='Id').apply(lambda x : x.set_index('product').T.to_dict(orient='records'))
Out[124]:
Id
175 [{''409'': 41, ''407'': 8, ''0.5L'': 4, ''1.5L...
177 [{''SCHWEPPES'': 6, ''TONIC1L'': 4}]
dtype: object
制作一份清单
df.groupby(level='Id').apply(lambda x : x.set_index('product').T.to_dict(orient='records')).tolist()
Out[128]:
[[{"'0.5L'": 4, "'1.5L'": 4, "'407'": 8, "'409'": 41}],
[{"'SCHWEPPES'": 6, "'TONIC1L'": 4}]]