Feature_Selector.plot(which_features='all') 设置字体
时间: 2023-08-21 16:03:33 浏览: 57
`Feature_Selector.plot()` 函数可以通过 `fontdict` 参数来设置字体样式。该参数是一个字典类型,其中可以指定字体的各种属性,例如 `'family'`、`'size'`、`'weight'`、`'style'` 等。下面是一个示例:
```python
from feature_selector import FeatureSelector
import matplotlib.pyplot as plt
# 创建一个FeatureSelector对象
fs = FeatureSelector()
# 调用plot函数,设置字体样式
fs.plot(which_features='all', fontdict={'family': 'serif', 'size': 12, 'weight': 'bold'})
```
在上面的代码中,`fontdict` 参数设置了字体的族为 serif,大小为 12,加粗为 bold。你可以根据需要更改这些参数来自定义字体样式。
相关问题
import mifs import pandas as pd image_data = pd.read_csv(r'D:\smoth\3D_res34_pearson.csv', header=0) x=image_data[image_data.columns[1:]] label = pd.read_csv('D:/smoth/label.csv', header=0) y = label['label'] feat_selector = mifs.MutualInformationFeatureSelector('MRMR', k=1) feat_selector.fit(x, y) # call transform() on X to filter it down to selected features X_filtered = feat_selector.transform(x.values) # Create list of features feature_name = x.columns[feat_selector.ranking_] print(feature_name) # Write selected features to CSV file selected_features = x[feature_name] selected_features.to_csv(r'D:\smoth\3D_res34_mrmr.csv', index=None) 将这段代码修改一下保留第一列
修改后的代码如下所示,已保留第一列:
```python
import mifs
import pandas as pd
image_data = pd.read_csv(r'D:\smoth\3D_res34_pearson.csv', header=0)
x = image_data.iloc[:, 1:] # 保留第一列之后的所有列
label = pd.read_csv('D:/smoth/label.csv', header=0)
y = label['label']
feat_selector = mifs.MutualInformationFeatureSelector('MRMR', k=1)
feat_selector.fit(x, y)
# 调用 transform() 来筛选出选择的特征
X_filtered = feat_selector.transform(x.values)
# 创建特征列表
feature_name = x.columns[feat_selector.ranking_]
print(feature_name)
# 将选择的特征写入CSV文件
selected_features = x[feature_name]
selected_features.to_csv(r'D:\smoth\3D_res34_mrmr.csv', index=None)
```
在上述代码中,首先读取了`3D_res34_pearson.csv`和`label.csv`文件,然后使用`iloc`方法将`x`中的数据保留从第二列开始的所有列。接着,使用`mifs.MutualInformationFeatureSelector`创建一个互信息特征选择器,并使用`fit`方法对特征进行选择。然后,使用`transform`方法筛选出选择的特征。
在最后部分,我们通过`feature_name`获取了选择的特征名称,并打印输出。然后,将选择的特征存储到`selected_features`变量,并使用`to_csv`方法将其写入到`3D_res34_mrmr.csv`文件中(不包括索引)。
请注意,以上代码假设第一列是特征的标识列,而从第二列开始才是需要进行特征选择的数据列。如果你的数据列不是从第二列开始,你需要根据实际情况修改代码中的索引切片部分。
#解析数据 detail_selector = parsel.Selector(detail_html) title = detail_selector.css('.b_crumb_cont *:nth-child(3)::text').get() comment = detail_selector.css('.title white::text').get() view_count = detail_selector.css('.view_count::text').get() date = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.when > p > span.data::text').get() days = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howlong > p > span.data::text').get() money = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howmuch > p > span.data::text').get() character = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.who > p > span.data::text').get() play_list = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.how > p > span.data > span::text').getall() for play in play_list: print(play) print(title, comment, view_count, date, days, money, character, play_list, detail_url) time.sleep(random.randint(3,5))这段代码为什么只能输出最后一个网站的内容,应该怎么修改
这段代码只输出最后一个网站的内容是因为在循环中只是将每个play输出了,并没有将其他的信息输出。可以将每个网站的信息放在一个字典中,再将这些字典放在一个列表中,最后输出整个列表即可。修改后的代码如下:
```
detail_selector = parsel.Selector(detail_html)
title = detail_selector.css('.b_crumb_cont *:nth-child(3)::text').get()
comment = detail_selector.css('.title white::text').get()
view_count = detail_selector.css('.view_count::text').get()
date = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.when > p > span.data::text').get()
days = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howlong > p > span.data::text').get()
money = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howmuch > p > span.data::text').get()
character = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.who > p > span.data::text').get()
play_list = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.how > p > span.data > span::text').getall()
result_list = []
for play in play_list:
result_dict = {}
result_dict['title'] = title
result_dict['comment'] = comment
result_dict['view_count'] = view_count
result_dict['date'] = date
result_dict['days'] = days
result_dict['money'] = money
result_dict['character'] = character
result_dict['play'] = play
result_dict['detail_url'] = detail_url
result_list.append(result_dict)
print(result_dict)
time.sleep(random.randint(3,5))
```
这样就能够输出每个网站的所有信息了。