COVID Data Analysis

Question

Help me, I already found the answer but i don't know how to match it with the answer key
Question : Phyton for Data Science
COVID Data Analysis
You are working with the COVID dataset for California, which includes the number of cases and deaths for each day of 2020.
Find the day when the deaths/cases ratio was largest.
To do this, you need to first calculate the deaths/cases ratio and add it as a column to the DataFrame with the name 'ratio', then find the row that corresponds to the largest value.
And here is my code
import pandas as pd
df = pd.read_csv("/usercode/files/ca-covid.csv")
df.drop('state', axis=1, inplace=True)
#df.set_index('date', inplace=True)
max = 0
maxindex = 0
ratio= []
for i in df.index:
a= df["deaths"][i] / df["cases"][i]
ratio.append(a)
if (a > max):
max = a
maxindex = i
df['ratio']=ratio
#print(df)
#print(maxindex)
print(df.iloc[maxindex])

Answer 1

And finally if don't understand u can look on my solution
https://code.sololearn.com/co287aYKt37I/?ref=app

Answer 2

For filter date (why u comment set index line?) U can use df[df["ratio"]==df["ratio"].max()]

Answer 3

Ratio u can add very easy just df["ratio"]=df["death"]/df["cases"]

Answer 4

For get max value u can use max function. df["ratio"].max()

Answer 5

Alright, Thank you very much 😁

Answer 6

Sylvanast what u mean? df["ratio"]==df["ratio"].max() generate list of true and false, but max ratio only one and it give only one 2. row
1. No max False
2. Max True
3. No max False
...
N. No max False
https://www.sololearn.com/post/1028491/?ref=app

Answer 7

Maybe i can help you Aripov Shahriyor. Because [df['ratio'].max()]) didn't give output that iloc required. You can check Илья Мирошник answer. It is works

Answer 8

Aripov Shahriyor because u try get row by index but input value

Answer 9

Илья Мирошник I wanna ask something
For filter date (why u comment set index line?) U can use df[df["ratio"]==df["ratio"].max()]
Can you explain how we can specify df[ ] with boolean value inside the [ ] ?

Answer 10

So, it is like when you define df[True] and then will print that line? Because if it false,it is not the maximum Илья Мирошник

Answer 11

Mmm... df[True] return error because df don't have index True. Layout True of False get data from df if length layout true and false == length of df. and this data will be length of True in layout of True/False

Answer 12

Can somebody explain why this solution doesn't work
df['ratio']= df['death']/df['cases']
print(df.iloc[df['ratio'].max()])

Answer 13

Thank you for your answers. I have just understood

Answer 14

print(df.loc['31.12.20'])

Answer 15

import pandas as pd
df = pd.read_csv("/usercode/files/ca-covid.csv")
df.drop('state', axis=1, inplace=True)
df.set_index('date', inplace=True)
df['ratio']= df['deaths']/ df['cases']
maxratio =df.loc[df['ratio']==df['ratio'].max()]
print(maxratio)
its work

Answer 16

import pandas as pd
df = pd.read_csv("/usercode/files/ca-covid.csv")
df.drop('state', axis=1, inplace=True)
df.set_index('date', inplace=True)
df['ratio'] = df['deaths']/df['cases']
print(df[(df["ratio"]== df['ratio'].max())])

Answer 17

import pandas as pd
df = pd.read_csv("/usercode/files/ca-covid.csv")
df.drop('state', axis=1, inplace=True)
df.set_index('date', inplace=True)
df['ratio']= df['deaths']/ df['cases']
maxratio =df.loc[df['ratio']==df['ratio'].max()]
print(maxratio)