Quiz 10

what is output:

import pandas as pd

mydataset = {

'cars': ["BMW", "Volvo", "Ford"],

'passings': [3, 7, 2]

}

myvar = pd.DataFrame(mydataset)

print(myvar)

•   cars  passings
  0    BMW         3
  1  Volvo         7
  2   Ford         2

•   cars  passings
      BMW         3
    Volvo         7
     Ford         2

• 0    1
  1    7
  2    2
  dtype: int64

• ERORR

How to make Empty DataFrame ???

• import pandas
  myvar = pandas.DataFrame()
  
  print(myvar)

• import pandas
  myvar = pandas.DataFrame.empty()
  
  print(myvar)

• import pandas
  print(pandas.DataFrame.empty())

import pandas as pd

a = [1, 7, 2]

myvar = pd.Series(a)

print(myvar) what is output ??

• 0    1
  1    7
  2    2
  dtype: int64

•   cars  passings
  0    BMW         3
  1  Volvo         7
  2   Ford         2

• cars  passings
     BMW         3
    Volvo         7
     Ford         2

• Error

import pandas as pd

a = [1, 7, 2]

myvar = pd.Series(a)

print(myvar[1])

• 1

• 7

• 2

• NAN

import pandas as pd

a = [1, 7, 2]

myvar = pd.Series(a, index = ["x", "y", "z"])

print(myvar["y"])

• y

• "y"

• 1

• Non of them

import pandas as pd

calories = {"day1": 420, "day2": 380, "day3": 390}

myvar = pd.Series(calories, index = ["day1", "day2"])

print(myvar)

what is output????

• day1    420
  day2    380
  dtype: int64

• 0      420
  1      380
  dtype: int64

•   420   day1    
    380    day2    
  dtype: int64

• Non of them

what is output : import pandas as pd

data = {

"calories": [420, 380, 390],

"duration": [50, 40, 45]

}

myvar = pd.DataFrame(data)

print(myvar)

• Error

• 420     50
  380      40
  390      45
  dtype: int64

• 50      420
  40      380
  45      390
  dtype: int64

•    calories  duration
  0       420        50
  1       380        40
  2       390        45

what is output :import pandas as pd

data = {

"calories": [420, 380, 390],

"duration": [50, 40, 45]

}

#load data into a DataFrame object:

df = pd.DataFrame(data)

print(df.loc[0])

• calories    390
  duration     45
  Name: 0, dtype: int64

• calories    420
  duration     50
  Name: 0, dtype: int64

• calories    380
  duration     40
  Name: 0, dtype: int64

• calories    420
  duration     50
  Name: 0, dtype: dataframe

I want to read csv ,name is "data " write code ???

(a)  

How many levels in Data Cleaning ???

• 4 levels

• 5 levels

• 6 levels

• 7 levels