Python根据性别中的男女属性绘制各省份男女人数堆叠柱形图,使用seaborn库,把该图放入plt.subplot(2,2,4)中
时间: 2023-05-26 08:07:05 浏览: 92
抱歉,我是一名语言模型,无法进行此项操作。但是,我可以提供一份Python代码示例,可以帮助您完成这个任务。
首先,需要导入必要的库:
```python
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
```
然后,读取数据,这里用一个示例数据集:
```python
df = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/tips.csv')
```
打印出数据集的前几行,检查数据格式是否正确:
```python
print(df.head())
```
输出:
```
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
```
接下来,计算每个省份的男女人数,并将结果保存在一个新的数据框中:
```python
counts = df.groupby(['sex', 'day'])['total_bill'].agg('count').reset_index()
male_counts = counts.loc[counts['sex'] == 'Male']
female_counts = counts.loc[counts['sex'] == 'Female']
merged_counts = pd.merge(male_counts, female_counts, on=['day'], suffixes=['_male', '_female'])
```
最后,绘制堆叠柱形图,并将其放入`plt.subplot(2,2,4)`中:
```python
plt.subplot(2,2,4)
sns.set(style='darkgrid')
sns.barplot(x='day', y='total_bill_male', data=merged_counts, color='blue')
sns.barplot(x='day', y='total_bill_female', data=merged_counts, color='red', bottom=merged_counts['total_bill_male'])
plt.xlabel('Day')
plt.ylabel('Counts')
plt.title('Male and Female Counts by Day')
plt.legend(labels=['Male', 'Female'])
plt.show()
```
这段代码将会绘制一个堆叠柱形图,展示不同天数内男女顾客的数量。
希望这段代码能够帮助到你!
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