60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
|
import sklearn
|
||
|
|
import pandas as pd
|
||
|
|
import matplotlib
|
||
|
|
import seaborn as sns
|
||
|
|
import numpy as np
|
||
|
|
import matplotlib.pyplot as plt
|
||
|
|
|
||
|
|
data = pd.read_csv("Dataset.csv")
|
||
|
|
|
||
|
|
#Windspeed
|
||
|
|
plt.figure()
|
||
|
|
sns.set_theme(style="white", color_codes=True)
|
||
|
|
g = sns.JointGrid(data=data, x="Subscribed", y="windspeed", space=0, ratio=17)
|
||
|
|
g.plot_joint(sns.scatterplot, sizes=(30, 120), color="g", alpha=.6, legend=False) #size=data["hour"],
|
||
|
|
g.plot_marginals(sns.rugplot, height=1, color="g", alpha=.6)
|
||
|
|
|
||
|
|
#Seasons - Boxplot
|
||
|
|
plt.figure()
|
||
|
|
sns.set_theme(style="ticks", palette="pastel")
|
||
|
|
sns.boxplot(x="season", y="Total", palette=["m", "g"], data=data)
|
||
|
|
sns.despine(offset=10, trim=True)
|
||
|
|
|
||
|
|
#Subscribed, non-subscribed
|
||
|
|
plt.figure()
|
||
|
|
sns.lineplot(x="month", y="Total", data=data, color='purple')
|
||
|
|
sns.lineplot(x="month", y="Subscribed", data=data, color='blue')
|
||
|
|
sns.lineplot(x="month", y="Non-subscribed", data=data, color='red')
|
||
|
|
plt.legend(title='Type', loc='lower right', labels=['Total', 'Subscribed', 'Non-subscribed'])
|
||
|
|
|
||
|
|
# Distribution plot per month with weather type annotated?
|
||
|
|
plt.figure()
|
||
|
|
sns.displot(data=data, x="month", y="Total", hue="weather")
|
||
|
|
|
||
|
|
# Season - weather scatterplot
|
||
|
|
plt.figure()
|
||
|
|
sns.pointplot(x="Total", y="season", hue="weather", data=data, dodge=.8 - .8 / 3, join=False, palette="dark",markers="d", scale=.75, ci=None)
|
||
|
|
|
||
|
|
# By day -> Holidays
|
||
|
|
plt.figure()
|
||
|
|
sns.violinplot(data=data, x="day", y="Total", hue="smoker", split=True, inner="quart", linewidth=1, palette={"Yes": "b", "No": ".85"})
|
||
|
|
sns.despine(left=True)
|
||
|
|
|
||
|
|
#Temperature total
|
||
|
|
plt.figure()
|
||
|
|
sns.lineplot(x="temperature", y="Total", data=data)
|
||
|
|
sns.lineplot(x="feeling_temperature", y="Total", data=data)
|
||
|
|
plt.legend(title='Type', loc='upper left', labels=['Feeling', 'Feeling temperature'])
|
||
|
|
|
||
|
|
#Humidity total
|
||
|
|
plt.figure()
|
||
|
|
sns.lineplot(x="humidity", y="Total", data=data)
|
||
|
|
|
||
|
|
#Windspeed total
|
||
|
|
plt.figure()
|
||
|
|
sns.lineplot(x="windspeed", y="Total", data=data)
|
||
|
|
|
||
|
|
# Boxplot with weather types
|
||
|
|
plt.figure()
|
||
|
|
sns.boxplot(x="weather", y="Total", data=data, dodge=.8 - .8 / 3, palette="dark")
|