Seabornflightdataanalysis

Sun 29 June 2025

import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt

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

	year	month	passengers
0	1949	Jan	112
1	1949	Feb	118
2	1949	Mar	132
3	1949	Apr	129
4	1949	May	121

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

month	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
year
1949	112	118	132	129	121	135	148	148	136	119	104	118
1950	115	126	141	135	125	149	170	170	158	133	114	140
1951	145	150	178	163	172	178	199	199	184	162	146	166
1952	171	180	193	181	183	218	230	242	209	191	172	194
1953	196	196	236	235	229	243	264	272	237	211	180	201

sns.lineplot(data=flights_wide["May"])
plt.title("May Passengers (1949–1960)")
plt.xlabel("Year")
plt.ylabel("Passengers")
plt.show()

png

sns.lineplot(data=flights_wide["Oct"])
plt.title("October Passengers (1949–1960)")
plt.xlabel("Year")
plt.ylabel("Passengers")
plt.show()

png

sns.lineplot(data=flights_wide)
plt.title("Monthly Passenger Trends (1949–1960)")
plt.xlabel("Year")
plt.ylabel("Passengers")
plt.show()

png

data = {
    'month': [0, 1, 2],
    'raja': [0, 300, 450],
    'hari': [0, 200, 500]
}
df = pd.DataFrame(data)
sns.lineplot(data=df.drop(columns='month'))
plt.title("Scores Over Time (Raja vs Hari)")
plt.show()

png

data = {
    'days': [1, 1, 1, 2, 2, 2],
    'learners': ['raja', 'hari', 'steve', 'raja', 'hari', 'steve'],
    'score': [0, 0, 0, 50, 40, 60]
}
df = pd.DataFrame(data)
df_wide = df.pivot(index="days", columns="learners", values="score")
sns.lineplot(data=df_wide)
plt.title("Learner Scores Over Days")
plt.xlabel("Day")
plt.ylabel("Score")
plt.show()

png

Score: 5

Category: basics