# https://seaborn.pydata.org/generated/seaborn.lineplot.html
# https://rajacsp.github.io/mlnotes/python/data-wrangling/food_points/

import seaborn as sns

flights = sns.load_dataset("flights")
flights.head()

type(flights)

pandas.core.frame.DataFrame

may_flights = flights.query("month == 'May'")
sns.lineplot(data=may_flights, x="year", y="passengers")

<Axes: xlabel='year', ylabel='passengers'>

flights.head()

flights_wide = flights.pivot(index="year", columns="month", values="passengers")
flights_wide.head()

sns.lineplot(data=flights_wide["May"])

<Axes: xlabel='year', ylabel='May'>

sns.lineplot(data=flights_wide["Oct"])

<Axes: xlabel='year', ylabel='Oct'>

sns.lineplot(data=flights_wide)

<Axes: xlabel='year'>

flights_wide

import pandas as pd

data = {
    'month' : [0, 1, 2],
    'raja' : [0, 300, 450],
    'hari' : [0, 200, 500]
}

df = pd.DataFrame(data)

df

sns.lineplot(data=df)

<Axes: >

data = {
    'days' : [1, 1, 1, 2, 2, 2],
    'learners' : ['raja', 'hari', 'steve', 'raja', 'hari', 'steve'],
    'score' : [0, 0, 0, 50, 40, 60]
}

# 1949 Jan 112
# day:1 hari 0
# day:1 steve 0

df = pd.DataFrame(data)

df

df_wide = df.pivot(index="days", columns="learners", values="score")
df_wide.head()

sns.lineplot(data=df_wide)

<Axes: xlabel='days'>