Q. Given a data-frame df as shown below:
import pandas as pd
x = {'speed': [10, 15, 20, 18, 19],\
'meters': [122, 150, 190, 230, 300],\
'weight' :[0.2, 0.3, 0.1, 0.85, 0.0]}
df = pd.DataFrame (x)
print (df)
Output :-
speed meters weight
0 10 122 0.20
1 15 150 0.30
2 20 190 0.10
3 18 230 0.85
4 19 300 0.00
>>>
Write code to create scatter graphs from
(a) speed and meters columns of df
(b) meters and weight columns of df
Answer :-
(a)
import pandas as pd import matplotlib.pyplot as pl x = {'speed': [10, 15, 20, 18, 19],\ 'meters': [122, 150, 190, 230, 300],\ 'weight' :[0.2, 0.3, 0.1, 0.85, 0.0]} df = pd.DataFrame (x) pl.scatter(df['speed'], df [ 'meters']) pl.show()
Output :-
(b)
import pandas as pd import matplotlib.pyplot as pl x = {'speed': [10, 15, 20, 18, 19],\ 'meters': [122, 150, 190, 230, 300],\ 'weight' :[0.2, 0.3, 0.1, 0.85, 0.0]} df = pd.DataFrame (x) pl.scatter(df['meters'], df['weight']) pl.show()
Output :-
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