Seaborn - violinplot 차트/그래프 그리기 Cheet Sheet

Grouped violinplots with split violins seaborn components used: set_theme(), load_dataset(), violinplot(), despine() import seaborn as sns sns.set_theme(style="whitegrid") # Load the example tips dataset tips = sns.load_dataset("tips") # Draw a nested violinplot and split the violins for easier comparison sns.violinplot(data=tips, x="day", y="total_bill", hue="smoker", split=True, inner="quart",..

• format_list_bulleted Programming/Python
• · 2022. 6. 8.
• textsms

Seaborn - FacetGrid 차트/그래프 그리기 Cheet Sheet

Plotting on a large number of facets seaborn components used: set_theme(), FacetGrid import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt sns.set_theme(style="ticks") # Create a dataset with many short random walks rs = np.random.RandomState(4) pos = rs.randint(-1, 2, (20, 5)).cumsum(axis=1) pos -= pos[:, 0, np.newaxis] step = np.tile(range(5), 20) walk = ..

• format_list_bulleted Programming/Python
• · 2022. 6. 8.
• textsms

Seaborn - lineplot 차트/그래프 그리기 Cheet Sheet

Timeseries plot with error bands seaborn components used: set_theme(), load_dataset(), lineplot() import seaborn as sns sns.set_theme(style="darkgrid") # Load an example dataset with long-form data fmri = sns.load_dataset("fmri") # Plot the responses for different events and regions sns.lineplot(x="timepoint", y="signal", hue="region", style="event", data=fmri) Lineplot from a wide-form dataset ..

• format_list_bulleted Programming/Python
• · 2022. 6. 8.
• textsms

Seaborn - heatmap 차트/그래프 그리기 Cheet Sheet

Annotated heatmaps seaborn components used: set_theme(), load_dataset(), heatmap() import matplotlib.pyplot as plt import seaborn as sns sns.set_theme() # Load the example flights dataset and convert to long-form flights_long = sns.load_dataset("flights") flights = flights_long.pivot("month", "year", "passengers") # Draw a heatmap with the numeric values in each cell f, ax = plt.subplots(figsize..

• format_list_bulleted Programming/Python
• · 2022. 6. 8.
• textsms

Seaborn - lmplot 차트/그래프 그리기 Cheet Sheet

Anscombe’s quartet seaborn components used: set_theme(), load_dataset(), lmplot() import seaborn as sns sns.set_theme(style="ticks") # Load the example dataset for Anscombe's quartet df = sns.load_dataset("anscombe") # Show the results of a linear regression within each dataset sns.lmplot(x="x", y="y", col="dataset", hue="dataset", data=df, col_wrap=2, ci=None, palette="muted", height=4, scatter..

• format_list_bulleted Programming/Python
• · 2022. 6. 8.
• textsms

Seaborn - boxplot 차트/그래프 그리기 Cheet Sheet

Grouped boxplots seaborn components used: set_theme(), load_dataset(), boxplot(), despine() import seaborn as sns sns.set_theme(style="ticks", palette="pastel") # Load the example tips dataset tips = sns.load_dataset("tips") # Draw a nested boxplot to show bills by day and time sns.boxplot(x="day", y="total_bill", hue="smoker", palette=["m", "g"], data=tips) sns.despine(offset=10, trim=True) Hor..

• format_list_bulleted Programming/Python
• · 2022. 6. 7.
• textsms