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- import pandas as pd
- import numpy as np
- import matplotlib
- import matplotlib.pyplot as plt
- matplotlib.use('TkAgg')
- import pylab
- df = pd.read_csv('Query_Final_2.csv')
- df['Ship_Date'] = pd.to_datetime(df['Ship_Date'], errors = 'coerce')
- df1 = (df.groupby('Industry'))
- print(
- df1.boxplot(column='Gross_Margin',layout=(1,9), figsize=(20,10), whis=[5,95])
- ,pylab.show()
- )
- import pandas as pd
- import matplotlib.pyplot as plt
- df = pd.read_csv('Query_Final_2.csv')
- df['Ship_Date'] = pd.to_datetime(df['Ship_Date'], errors = 'coerce')
- df1 = df.groupby('Industry')
- axes = df1.boxplot(column='Gross_Margin',layout=(1,9), figsize=(20,10),
- whis=[5,95], return_type='axes')
- for ax in axes.values():
- ax.set_ylim(-2.5, 2.5)
- plt.show()
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