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Indeed Df 2021. In the case where there are subplots, the plot api returns an numpy.ndarray of matplotlib.axes.axes; Import pandas as pd import seaborn as sns # for sample data import matplotlib.pyplot as plt # load data df = sns.load_dataset('iris') # display(df.head()) sepal_length sepal_width petal_length petal_width.
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Import pandas as pd import seaborn as sns # for sample data import matplotlib.pyplot as plt # load data df = sns.load_dataset('iris') # display(df.head()) sepal_length sepal_width petal_length petal_width. In the case where there are subplots, the plot api returns an numpy.ndarray of matplotlib.axes.axes; The other answers deal with saving the plot for a single plot, not subplots.
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In the case where there are subplots, the plot api returns an numpy.ndarray of matplotlib.axes.axes; In the case where there are subplots, the plot api returns an numpy.ndarray of matplotlib.axes.axes; The other answers deal with saving the plot for a single plot, not subplots. Import pandas as pd import seaborn as sns # for sample data import matplotlib.pyplot as plt # load data df = sns.load_dataset('iris') # display(df.head()) sepal_length sepal_width petal_length petal_width.