rohitrajiit

import tensorflow as tf
import tensorflow_hub as hub
import matplotlib.pyplot as plt
import numpy as np
import PIL.Image

def load_img(path_to_img):
  max_dim = 512
  img = tf.io.read_file(path_to_img)
  img = tf.image.decode_image(img, channels=3)

rohitrajiit

import requests
import pandas
import json
import plotly.express as px

districts_daily = requests.get('https://api.covid19india.org/v4/timeseries.json')
districts_daily = districts_daily.text
districts_daily = json.loads(districts_daily)

dfs = []

rohitrajiit

active = []
confirmed = []
deaths = []
deltaconfirmed = []
deltadeaths = []
deltarecovered = []
recovered = []
state = []
for data in districts_daily['statewise']:
    active.append(data['active'])

rohitrajiit

import plotly.graph_objects as go
import requests
import pandas
import json


districts_daily = requests.get('https://api.covid19india.org/data.json')

districts_daily = districts_daily.text
districts_daily = json.loads(districts_daily)

rohitrajiit

import plotly.express as px

fig = px.line(df, x="date", y=["totalactive",'totalrecovered','totaldeceased'], 
              log_y= True, title='Total Coronavirus Cases in India')
fig.show()

rohitrajiit

with open('Indian_States.txt') as f:
    statejson = json.load(f)
fig = px.choropleth_mapbox(statedf, geojson=statejson, color="active",
                           locations="state", featureidkey="properties.NAME_1",
                           center={"lat": 23.2599, "lon": 77.4126},
                           mapbox_style="carto-positron", zoom=3)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.show()

rohitrajiit

px.scatter(data2, x="totalconfirmed", y="totaldeceased", 
           animation_frame=data2.date.astype(str), animation_group="state",
           size="totaltested", color="state", hover_name="state", 
           range_x=[0,450000], range_y=[0,16000]
           )

rohitrajiit

<script>

// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 30, left: 60},
    width = 460 - margin.left - margin.right,
    height = 400 - margin.top - margin.bottom;

// append the svg object to the body of the page
var svg = d3.select("#my_dataviz")
  .append("svg")

rohitrajiit

monthwise = df.groupby(['district','month']).last()['confirmed'].unstack()
monthwise['growth'] = monthwise[5]/monthwise[4]
growth = monthwise.drop(6, axis=1)[monthwise[5]>1000].dropna(subset=['growth'])
growth = growth.sort_values(by=['growth'], ascending = False)
growth.rename(columns ={4: 'Last day of April', 5: 'Last day of May'})

rohitrajiit

districts_daily = requests.get('https://api.covid19india.org/districts_daily.json')
districts_daily = districts_daily.text
districts_daily = json.loads(districts_daily)
states = []; districts = []; dates = []; active = []; confirmed = []
deceased = []; recovered = []
for state in districts_daily["districtsDaily"]:
    for district in districts_daily["districtsDaily"][state]:
        for day in districts_daily["districtsDaily"][state][district]:
            states.append(state)
            districts.append(district)