What's the difference between the two code snippets I've mentioned? Can somebody explain what each one does?

Question

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()])

AND

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[df['ratio'].max()])

Answer 1

SriHarsha Bodicherla ,

> the 2 codes differ only in the last line

> the last line in the second code has a syntax error. try to correct it.

Answer 2

The first code snippet imports the pandas library and reads in a CSV file called "ca-covid.csv" using the read_csv() function. It then drops the "state" column from the DataFrame using the drop() function, sets the "date" column as the index using the set_index() function, and creates a new column called "ratio" which is the quotient of the "deaths" and "cases" columns. Finally, it prints the rows where the "ratio" column is equal to the maximum value of the "ratio" column.

The second code snippet is similar to the first one, but the final print statement is invalid. It is trying to index the dataframe with a boolean value derived from the max() function which is incorrect.

it should be
print(df[df['ratio']==df['ratio'].max()])
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