我正在研究Pandas DF问题,我无法将一些Pandas数据转换为可用格式来创建Scatter Plot。
以下是下面的代码,请让我知道我做错了什么以及如何纠正它。由于我是初学者,所以需要诚实的批评。
# Import Data
df = pd.read_csv(filepath + 'BaltimoreData.csv')
df = df.dropna()
print(df.head(20))
# These are two categories within the data
df.plot(df['Bachelors degree'], df['Median Income'])
# Plotting the Data
df.plot(kind = 'scatter', x = 'Bachelor degree', y = 'Median Income')
df.plot(kind = 'density')
答案 0 :(得分:1)
只需在y上绘制x,如下所示,其中df是您的数据框,x和y是您的依赖和自变量:
#include <iostream>
using namespace std;
struct node{
int data;
node * next;
};
class singly{
private:
node * head,*tail;
public:
singly(){
head=NULL;
tail=NULL;
}
void createNode(int value){
node * temp = new node;
temp->data=value;
temp->next=NULL;
if(head==NULL){
head=temp;
tail=temp;
temp=NULL;
}
else{
tail->next=temp;
tail=temp;
}
}
void display(){
node * temp = new node;
head=temp;
while(temp!=NULL){
cout << temp->data << "\t" << endl;
temp->next=temp;
}
}
void insert_end(int value){
node*newnode = new node;
node*temp = new node;
newnode->data=value;
newnode->next=NULL;
temp=head;
while(temp->next!=NULL){
temp = temp->next;
}
temp->next=newnode;
}
void delete_node(){
node*current = new node;
node*previous = new node;
current = head;
while(current->next!=NULL){
previous=current;
current=current->next;
}
tail=previous;
previous->next=NULL;
delete current;
}
};
int main(){
singly lists;
lists.createNode(32);
lists.createNode(654);
lists.createNode(34);
lists.createNode(234);
cout<<"\n--------------------------------------------------\n";
cout<<"---------------Displaying All nodes---------------";
cout<<"\n--------------------------------------------------\n";
lists.display();
cout<<"\n--------------------------------------------------\n";
cout<<"-----------------Inserting At End-----------------";
cout<<"\n--------------------------------------------------\n";
lists.createNode(55);
lists.display();
cout<<"\n--------------------------------------------------\n";
cout<<"-----------------Deleing At End-------------------";
cout<<"\n--------------------------------------------------\n";
lists.delete_node();
lists.display();
}
答案 1 :(得分:0)
您可以使用pandas中的scatter plot。
import pandas
import matplotlib.pyplot as plt
plt.style.use('ggplot')
df.plot.scatter(x='Bachelors degree', y='Median Income');
plt.show()