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stateslist = ['Maharashtra', 'Gujarat', 'Delhi', 'Karnataka', 'Kerala', 'West Bengal'] | |
for state in stateslist: | |
statedata = data[data['state']==state] | |
plt.plot(statedata['Dates'][-15:], statedata['dailytested'][-15:], label=state) | |
plt.title('Daily Tests ') | |
plt.legend() | |
plt.show() |
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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) |
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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'}) |
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<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") |
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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() |
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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) |
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active = [] | |
confirmed = [] | |
deaths = [] | |
deltaconfirmed = [] | |
deltadeaths = [] | |
deltarecovered = [] | |
recovered = [] | |
state = [] | |
for data in districts_daily['statewise']: | |
active.append(data['active']) |
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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() |
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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 = [] |
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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] | |
) |