<jupyter_start><jupyter_text>pandas multivariate plots<jupyter_code>import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
data_file = "top-five-wine-score-counts.csv"
topFiveData = pd.read_csv(data_file, index_col=0)
topFiveData.head()<jupyter_output><empty_output><jupyter_text>which wine most commonly scores an 87?<jupyter_code>topFiveData.plot.line(figsize=(16,6))
topFiveData.plot.bar(figsize=(16,6))
plt.figure(figsize=(16,6))
topFiveData["Pinot Noir"].plot.bar(stacked=True)
topFiveData.plot.bar(figsize=(16,6), stacked=True)
topFiveData.plot.area(figsize=(16,6), stacked=True)
topFiveData.plot.hist(figsize=(16,6), stacked=True)
topFiveData[topFiveData<100].plot.pie(figsize=(66,10), subplots=True)
topFiveData.plot.pie(figsize=(66,10), subplots=True)<jupyter_output><empty_output>
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