matplotlib统计图
seaborn的tips数据集包含消费账单的大小，人数，星期几，时间等。
- 加载tips数据集
tips = sns.load_dataset("tips")
print(tips.head())
total_bill tip sex smoker day time size
0 16.99 1.01 Female No Sun Dinner 2
1 10.34 1.66 Male No Sun Dinner 3
2 21.01 3.50 Male No Sun Dinner 3
3 23.68 3.31 Male No Sun Dinner 2
4 24.59 3.61 Female No Sun Dinner 4
- 直方图(单变量)
fig = plt.figure()
axes1 = fig.add_subplot(1, 1, 1)
axes1.hist(tips['total_bill'], bins=10)
axes1.set_title('Histogram of Total Bill')
axes1.set_xlabel('Frequency' )
axes1.set_ylabel('Total Bill')
fig.show ()
图片.png
- 散点图(双变量)
scatter_plot = plt.figure()
axesl = scatter_plot.add_subplot(1, 1, 1)
axesl.scatter(tips['total_bill'], tips['tip'])
axesl.set_title('Scatterplot of Total Bill vs Tip')
axesl.set_xlabel('Total Bill')
axesl.set_ylabel('Tip')
scatter_plot.show()
图片.png
- 箱形图
boxplot = plt.figure()
axesl = boxplot.add_subplot(1, 1, 1)
axesl.boxplot([tips[tips['sex'] == 'Female']['tip'], tips[tips ['sex'] == 'Male']['tip']])
axesl.set_xlabel('Sex')
axesl.set_ylabel('Tip')
axesl.set_title('Boxplot of Tips by Sex')
图片.png
- 多变量绘图
# create a color variable based on the sex
def recode_sex(sex):
if sex == 'Female':
return 0
else:
return 1
tips['sex_color'] = tips['sex'].apply(recode_sex)
scatter_plot = plt.figure()
axesl = scatter_plot.add_subplot(1, 1, 1)
axesl.scatter(x=tips['total_bill'], y=tips['tip'], s=tips['size'] * 10,
c=tips['sex_color'], alpha=0.5)
axesl.set_title('Total Bill vs Tip colored by Sex and sized by Size')
axesl.set_xlabel('Total Bill')
axesl.set_ylabel('Tip')
scatter_plot.show()
图片.png
参考资料
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