01 Constructing a scatter plot

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<iframe width="700" height="400" src="https://www.youtube.com/embed/sHbX58y5D4U/" frameborder="0" allowfullscreen></iframe>

import numpy as np
import pandas as pd
from pandas import Series, DataFrame
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats

khanacademy

data = {
    'Class': ['English', 'Math', 'History', 'CS', 'Arts', 'Biology', 'Physics', 'Chemistry', 'Spanish'],
    'Period': [1,6,2,4,4,1,3,1,3],
    'Score': [93,87,70,62,86,73,73,80,96]
    }

df = DataFrame(data).set_index('Class')

df

	Period	Score
Class
English	1	93
Math	6	87
History	2	70
CS	4	62
Arts	4	86
Biology	1	73
Physics	3	73
Chemistry	1	80
Spanish	3	96

df.plot(kind='scatter', x='Period', y='Score')

<AxesSubplot:xlabel='Period', ylabel='Score'>

plt.scatter(df['Period'], df['Score'])
plt.xlabel('Period')
plt.ylabel('Avg. Score')
plt.show()

sns.scatterplot(df['Period'], df['Score'])

/opt/hostedtoolcache/Python/3.9.13/x64/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.
  warnings.warn(

<AxesSubplot:xlabel='Period', ylabel='Score'>