[Data_Analytics] Plotly 패키지
import plotly.express as px df = px.data.tips() fig = px.histogram(data_frame=df, x="tip", nbins=10, color="smoker") fig.show() fig = px.box(df, x="day", y="tip", color="smoker", notched=True) fig.show() import pandas as pd df = pd.DataFrame([ dict(Task="Job A", Start='2009-01-01', Finish='2009-02-28', Resource="Alex"), dict(Task="Job B", Start='2009-03-05', Finish='2009-04-15', Resource="Alex")..
[Data_Analytics] Seaborn plot
seaborn 패키지 불러오기 import seaborn as sns sns.set_theme(style='whitegrid') penguins = sns.load_dataset("penguins") LinePlot sns.lineplot(data=penguins, x="body_mass_g", y="flipper_length_mm", ci=None, hue="species") Point Plot sns.pointplot(data=penguins, x="species", y="body_mass_g", hue="sex", palette="winter") Hist Plot sns.histplot(data=penguins, x="bill_depth_mm", bins=30, hue="species", multi..
