表圖
import numpy as np
import matplotlib.pyplot as plt
# Represent years in rows in the table
rows = ['2011', '2012', '2013', '2014', '2015']
# Represent battery rating in columns of the table
columns = ('7Ah', '35Ah', '40Ah', '135Ah', '150Ah')
# Number of units sold each year, each rating. e.g. 75 units of 7Ah batteris sold in 2011
data = [[75, 144, 114, 102, 108],
[90, 126, 102, 84, 126],
[96, 114, 75, 105, 135],
[105, 90, 150, 90, 75],
[90, 75, 135, 75, 90]]
# Define the range and scale for y-axis
values = np.arange(0, 600, 100)
# Specify the color map to be used
colors = plt.cm.OrRd(np.linspace(0, 0.5, len(rows)))
n_rows = len(data)
index = np.arange(len(columns)) + 0.3
bar_width = 0.5
# Initialize the vertical-offset for the stacked bar chart.
y_offset = np.zeros(len(columns))
fig, ax = plt.subplots()
# Plot bars and create text labels for the table
cell_text = []
for row in range(n_rows):
plot = plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row])
y_offset = y_offset + data[row]
cell_text.append(['%1.1f' % (x) for x in y_offset])
i=0
for rect in plot:
ax.text(rect.get_x() + rect.get_width()/2, y_offset[i],'%d' % int(y_offset[i]),
ha='center', va='bottom')
i = i+1
# Add a table at the bottom of the axes
the_table = plt.table(cellText=cell_text,
rowLabels=rows,
rowColours=colors,
colLabels=columns,
loc='bottom')
plt.ylabel("Units Sold")
plt.title('Number of Batteries Sold/Year')
# No ticks on X-axis, as table below will cover the labels
plt.xticks([])
箱型圖
wine_quality = pd.read_csv('winequality.csv', delimiter=';')
data = [wine_quality['alcohol'], wine_quality['fixed acidity'], wine_quality['quality']]
plt.boxplot(data)
小提琴圖
wine_quality = pd.read_csv('winequality.csv', delimiter=';')
data = [wine_quality['alcohol'], wine_quality['fixed acidity'], wine_quality['quality']]
plt.violinplot(data, showmeans=True)
