Created
December 12, 2020 00:13
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import random | |
import matplotlib.pyplot as plt | |
import pandas as pd | |
import seaborn as sns | |
get_point = lambda: {'Type': random.choice(['Liker', 'Subscriber', 'Like & Sub']), | |
'Age': random.randint(20, 40), | |
'Gender': random.choice(['M', 'W', 'T']), | |
'MemberSince': random.randint(2010, 2020)} | |
df = pd.DataFrame([get_point() for i in range(1000)]) | |
print(df) | |
sns.boxplot(x='Type', y='MemberSince', hue='Gender', data=df) | |
plt.show() | |
sns.heatmap(df[['Gender', 'Type']].pivot_table(index='Type', columns='Gender', | |
aggfunc=len, fill_value=0)) | |
print(df[['Gender', 'Type']].pivot_table(index='Type', columns='Gender', | |
aggfunc=len, fill_value=0)) | |
plt.show() | |
sns.scatterplot(data=df[:100], x='Age', y='MemberSince', hue='Type') | |
plt.show() | |
sns.countplot(data=df, y='MemberSince', hue='Type') | |
plt.show() | |
sns.lineplot(data=df[:100], x='Age', y='MemberSince', hue='Type') | |
plt.show() | |
sns.displot(data=df[:100], x='Age') | |
plt.show() |
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