Seaborn के साथ Data Visualization परिचय
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लाइन प्लॉट: समय के साथ नाइट्रोजन डाइऑक्साइड का औसत स्तर

पॉइंट प्लॉट: औसत रेस्टोरेंट बिल, स्मोकर्स बनाम नॉन-स्मोकर्स

दोनों दिखाते हैं:
अंतर:
दोनों दिखाते हैं:


import matplotlib.pyplot as plt
import seaborn as sns
sns.catplot(x="age",
y="masculinity_important",
data=masculinity_data,
hue="feel_masculine",
kind="point")
plt.show()

import matplotlib.pyplot as plt import seaborn as sns sns.catplot(x="age", y="masculinity_important", data=masculinity_data, hue="feel_masculine", kind="point", linestyle="none")plt.show()

import matplotlib.pyplot as plt
import seaborn as sns
sns.catplot(x="smoker",
y="total_bill",
data=tips,
kind="point")
plt.show()

import matplotlib.pyplot as plt
import seaborn as sns
from numpy import median
sns.catplot(x="smoker",
y="total_bill",
data=tips,
kind="point",
estimator=median)
plt.show()

import matplotlib.pyplot as plt import seaborn as sns sns.catplot(x="smoker", y="total_bill", data=tips, kind="point", capsize=0.2)plt.show()

import matplotlib.pyplot as plt import seaborn as sns sns.catplot(x="smoker", y="total_bill", data=tips, kind="point", errorbar=None)plt.show()

Seaborn के साथ Data Visualization परिचय