from PyQt5.QtWidgets import QApplication, QLabel<\/p>\napp = QApplication([])<\/p>\n
label = QLabel("Hello, World!")<\/p>\n
label.setStyleSheet("font-size: 16px;")<\/p>\n
label.show()<\/p>\n
app.exec_()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7setStyleSheet<\/code>\u65b9\u6cd5\u6765\u8bbe\u7f6e\u5b57\u4f53\u5927\u5c0f\u3002<\/p>\n<\/p>\n3\u3001Kivy<\/h4>\n<\/p>\n
Kivy\u662f\u4e00\u4e2a\u5f00\u6e90\u7684Python GUI\u5e93\uff0c\u7279\u522b\u9002\u5408\u5f00\u53d1\u591a\u70b9\u89e6\u63a7\u5e94\u7528\u3002\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\u7684\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
from kivy.app import App<\/p>\nfrom kivy.uix.label import Label<\/p>\n
class MyApp(App):<\/p>\n
def build(self):<\/p>\n
return Label(text="Hello, World!", font_size='20sp')<\/p>\n
if __name__ == '__main__':<\/p>\n
MyApp().run()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7font_size<\/code>\u53c2\u6570\u8bbe\u7f6e\u5b57\u4f53\u5927\u5c0f\u3002<\/p>\n<\/p>\n\u4e09\u3001\u5728\u7ed8\u56fe\u5e93\u4e2d\u8bbe\u7f6e\u5b57\u4f53\u5927\u5c0f<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u5728\u4f7f\u7528Python\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\uff0c\u53ef\u80fd\u9700\u8981\u8c03\u6574\u56fe\u8868\u4e2d\u7684\u5b57\u4f53\u5927\u5c0f\u3002\u4ee5\u4e0b\u662f\u51e0\u4e2a\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u53ca\u5176\u8bbe\u7f6e\u5b57\u4f53\u5927\u5c0f\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
1\u3001Matplotlib<\/h4>\n<\/p>\n
Matplotlib\u662f\u6700\u5e38\u7528\u7684Python\u7ed8\u56fe\u5e93\uff0c\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\u7684\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\nplt.plot([1, 2, 3], [4, 5, 6])<\/p>\n
plt.xlabel('X-axis', fontsize=14)<\/p>\n
plt.ylabel('Y-axis', fontsize=14)<\/p>\n
plt.title('Title', fontsize=16)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7fontsize<\/code>\u53c2\u6570\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e\u548c\u6807\u9898\u7684\u5b57\u4f53\u5927\u5c0f\u3002<\/p>\n<\/p>\n2\u3001Seaborn<\/h4>\n<\/p>\n
Seaborn\u662f\u4e00\u4e2a\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u7ed8\u56fe\u5e93\uff0c\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\u7684\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
import seaborn as sns<\/p>\nimport matplotlib.pyplot as plt<\/p>\n
sns.set(font_scale=1.5)<\/p>\n
data = [1, 2, 3, 4, 5]<\/p>\n
sns.lineplot(x=data, y=data)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7sns.set<\/code>\u65b9\u6cd5\u4e2d\u7684font_scale<\/code>\u53c2\u6570\u6765\u8c03\u6574\u5168\u5c40\u5b57\u4f53\u5927\u5c0f\u3002<\/p>\n<\/p>\n3\u3001Plotly<\/h4>\n<\/p>\n
Plotly\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u4e14\u4ea4\u4e92\u5f0f\u7684\u7ed8\u56fe\u5e93\uff0c\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\u7684\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
import plotly.graph_objects as go<\/p>\nfig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6]))<\/p>\n
fig.update_layout(<\/p>\n
title={'text': "Title", 'font': {'size': 20}},<\/p>\n
xaxis={'title': {'text': "X-axis", 'font': {'size': 18}}},<\/p>\n
yaxis={'title': {'text': "Y-axis", 'font': {'size': 18}}}<\/p>\n
)<\/p>\n
fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7update_layout<\/code>\u65b9\u6cd5\u4e2d\u7684font<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u6807\u9898\u548c\u8f74\u6807\u7b7e\u7684\u5b57\u4f53\u5927\u5c0f\u3002<\/p>\n<\/p>\n\u56db\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u8c03\u6574Python3.7\u4e2d\u7684\u5b57\u4f53\u5927\u5c0f\u53ef\u4ee5\u4ece\u591a\u4e2a\u65b9\u9762\u8fdb\u884c\uff0c\u5305\u62ec\u4ee3\u7801\u7f16\u8f91\u5668\u3001\u56fe\u5f62\u7528\u6237\u754c\u9762\u5e93\u548c\u7ed8\u56fe\u5e93\u3002\u4e0d\u540c\u7684\u60c5\u5883\u4e0b\uff0c\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\u7684\u65b9\u6cd5\u4e5f\u6709\u6240\u4e0d\u540c\uff0c\u4f46\u603b\u4f53\u6765\u8bf4\uff0c\u901a\u8fc7\u8bbe\u7f6e\u76f8\u5e94\u7684\u53c2\u6570\u6216\u9009\u9879\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fbe\u5230\u76ee\u7684\u3002\u65e0\u8bba\u662f\u7f16\u5199\u4ee3\u7801\u3001\u5f00\u53d1GUI\u5e94\u7528\u7a0b\u5e8f\u8fd8\u662f\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\uff0c\u5408\u7406\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\u90fd\u6709\u52a9\u4e8e\u63d0\u5347\u53ef\u8bfb\u6027\u548c\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n \u5982\u4f55\u5728Python 3.7\u4e2d\u4fee\u6539\u5b57\u4f53\u5927\u5c0f\u4ee5\u9002\u5e94\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\uff1f<\/strong>
\u5728Python 3.7\u4e2d\uff0c\u4fee\u6539\u5b57\u4f53\u5927\u5c0f\u901a\u5e38\u4f9d\u8d56\u4e8e\u6240\u4f7f\u7528\u7684\u56fe\u5f62\u5e93\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u4f7f\u7528Tkinter\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6efont<\/code>\u5c5e\u6027\u6765\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\u3002\u4f8b\u5982\uff0c\u4f7f\u7528font=("Arial", 16)<\/code>\u53ef\u4ee5\u5c06\u5b57\u4f53\u8bbe\u7f6e\u4e3a16\u53f7\u3002\u5982\u679c\u4f60\u4f7f\u7528\u5176\u4ed6\u5e93\u5982Pygame\u6216Matplotlib\uff0c\u5b57\u4f53\u8bbe\u7f6e\u7684\u65b9\u6cd5\u4f1a\u6709\u6240\u4e0d\u540c\u3002\u786e\u4fdd\u67e5\u9605\u76f8\u5173\u6587\u6863\u4ee5\u83b7\u53d6\u8be6\u7ec6\u4fe1\u606f\u3002<\/p>\n\u5728Python\u56fe\u5f62\u754c\u9762\u4e2d\uff0c\u5982\u4f55\u52a8\u6001\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\uff1f<\/strong>
\u52a8\u6001\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\u53ef\u4ee5\u901a\u8fc7\u7ed1\u5b9a\u4e8b\u4ef6\u6765\u5b9e\u73b0\u3002\u4f8b\u5982\uff0c\u5728Tkinter\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u6ed1\u5757\uff08Scale\uff09\u6765\u63a7\u5236\u5b57\u4f53\u5927\u5c0f\u7684\u53d8\u5316\u3002\u4f60\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u6ed1\u5757\uff0c\u5e76\u5728\u5176\u503c\u66f4\u6539\u65f6\u66f4\u65b0\u6807\u7b7e\u6216\u6587\u672c\u6846\u7684\u5b57\u4f53\u5927\u5c0f\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u63d0\u4f9b\u66f4\u52a0\u7075\u6d3b\u548c\u4ea4\u4e92\u5f0f\u7684\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n\u6709\u54ea\u4e9b\u5e38\u89c1\u7684Python\u5e93\u652f\u6301\u5b57\u4f53\u5927\u5c0f\u7684\u8c03\u6574\uff1f<\/strong>
\u8bb8\u591a\u6d41\u884c\u7684Python\u5e93\u90fd\u652f\u6301\u5b57\u4f53\u5927\u5c0f\u7684\u8c03\u6574\u3002Tkinter\u3001Pygame\u3001Matplotlib\u4ee5\u53caPyQt\u90fd\u662f\u5e38\u7528\u7684\u9009\u62e9\u3002\u6bcf\u4e2a\u5e93\u90fd\u6709\u81ea\u5df1\u7279\u5b9a\u7684\u65b9\u5f0f\u6765\u8bbe\u7f6e\u548c\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\uff0c\u901a\u5e38\u6d89\u53ca\u5230\u5b57\u4f53\u5c5e\u6027\u7684\u5b9a\u4e49\u548c\u66f4\u65b0\u3002\u5efa\u8bae\u67e5\u770b\u5404\u81ea\u7684\u6587\u6863\u4ee5\u83b7\u53d6\u8be6\u7ec6\u7684\u5b9e\u73b0\u65b9\u6cd5\u548c\u793a\u4f8b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python3.7\u5b57\u4f53\u653e\u5927\u65b9\u6cd5\u6709\u4ee5\u4e0b\u51e0\u79cd\uff1a\u5728\u4ee3\u7801\u7f16\u8f91\u5668\u4e2d\u8bbe\u7f6e\u5b57\u4f53\u5927\u5c0f\u3001\u5728\u56fe\u5f62\u7528\u6237\u754c\u9762\uff08GUI\uff09\u5e93\u4e2d\u8bbe\u7f6e\u5b57\u4f53\u5927\u5c0f […]","protected":false},"author":3,"featured_media":1066949,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1066942"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1066942"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1066942\/revisions"}],"predecessor-version":[{"id":1066953,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1066942\/revisions\/1066953"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1066949"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1066942"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1066942"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1066942"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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<\/p>\n