Pin-Yen Huang PM25

## nan.py
import pandas as pd

def get_columns_with_nan(df):
    nan_values = df.isna()
    nan_columns = nan_values.any()
    columns_with_nan = df.columns[nan_columns].tolist()
    return columns_with_nan

## advance.py
# %%
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision
import torchvision.models as models
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import torch.nn.utils.prune as prune

## 2020-04-11_21-29-13.json
{
    "0001": {
        "sno": "0001",
        "sna": "捷運市政府站(3號出口)",
        "tot": "180",
        "sbi": "124",
        "sarea": "信義區",
        "mday": "20200411212722",
        "lat": "25.0408578889",
        "lng": "121.567904444",

## TOWN_MOI_1090324.json

      
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                PM25
                / TOWN_MOI_1090324.json
            
            
              Last active
              April 22, 2020 06:00
            
              
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## index.html
<!DOCTYPE html>
<html>

<head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width">
    <link rel="stylesheet" href="css/style.css">
    <script src="js/script.js"></script>
    <title></title>
</head>
	import pandas as pd

	def get_columns_with_nan(df):
	nan_values = df.isna()
	nan_columns = nan_values.any()
	columns_with_nan = df.columns[nan_columns].tolist()
	return columns_with_nan
	# %%
	import torch
	import torch.nn as nn
	import torch.nn.functional as F
	import torch.optim as optim
	import torchvision
	import torchvision.models as models
	import torchvision.transforms as transforms
	import torchvision.datasets as datasets
	import torch.nn.utils.prune as prune
	{
	"0001": {
	"sno": "0001",
	"sna": "捷運市政府站(3號出口)",
	"tot": "180",
	"sbi": "124",
	"sarea": "信義區",
	"mday": "20200411212722",
	"lat": "25.0408578889",
	"lng": "121.567904444",
	<!DOCTYPE html>
	<html>

	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width">
	<link rel="stylesheet" href="css/style.css">
	<script src="js/script.js"></script>
	<title></title>
	</head>