pyecharts代码转换pycharm
时间: 2023-07-09 21:24:47 浏览: 104
pyecharts 可以在 PyCharm 中使用,只需要安装好 pyecharts 和相关的依赖库,并在 PyCharm 中导入相应的模块即可。
以下是示例代码,可以在 PyCharm 中直接运行:
```python
from pyecharts import options as opts
from pyecharts.charts import Bar
# 创建柱状图
bar = Bar()
# 添加数据
bar.add_xaxis(["A", "B", "C", "D", "E"])
bar.add_yaxis("数据", [1, 2, 3, 4, 5])
# 设置全局配置项
bar.set_global_opts(title_opts=opts.TitleOpts(title="柱状图"))
# 渲染图表
bar.render("bar.html")
```
在 PyCharm 中,可以选择 File -> New Project 来创建一个新的项目,然后在项目中创建一个新的 Python 文件,将上述代码复制到 Python 文件中,然后运行即可。注意,需要确保已经安装好 pyecharts 和相关的依赖库(例如 echarts-countries-pypkg、echarts-china-provinces-pypkg 等)。
相关问题
Traceback (most recent call last): File "D:/PyCharm 2021/新建文件夹/数据转成可视化.py", line 105, in <module> map_1.render("全国疫情分布图.html") File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\pyecharts\charts\base.py", line 92, in render self._prepare_render() File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\pyecharts\charts\base.py", line 116, in _prepare_render self.json_contents = self.dump_options() File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\pyecharts\charts\base.py", line 77, in dump_options json.dumps(self.get_options(), indent=4, default=default, ignore_nan=True) File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\__init__.py", line 381, in dumps return cls( File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 300, in encode chunks = list(chunks) File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 714, in _iterencode for chunk in _iterencode_dict(o, _current_indent_level): File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 668, in _iterencode_dict for chunk in chunks: File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 735, in _iterencode for chunk in _iterencode(o, _current_indent_level): File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 714, in _iterencode for chunk in _iterencode_dict(o, _current_indent_level): File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 668, in _iterencode_dict for chunk in chunks: File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 544, in _iterencode_list for chunk in chunks: File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 620, in _iterencode_dict key = _stringify_key(key) File "C:\Users\Administrator\AppData\Local\Programs\Python\Python38\lib\site-packages\simplejson\encoder.py", line 580, in _stringify_key raise TypeError('keys must be str, int, float, bool or None, ' TypeError: keys must be str, int, float, bool or None, not builtin_function_or_method
这个错误是由于在使用pyecharts库时,传入了一个非法的键(key),导致无法将其转换为JSON格式。根据错误信息,这个键的类型是内置函数或方法(builtin_function_or_method),而JSON只支持字符串(str)、整数(int)、浮点数(float)、布尔值(bool)或None类型的键。
要解决这个问题,你需要检查代码中使用pyecharts库的部分,确认传入的键是合法的类型。如果有使用内置函数或方法作为键的情况,需要修改代码,将其转换为合法类型的键,例如字符串。
如果你无法确定出现问题的具体代码,请提供更多关于你使用pyecharts库的代码片段,我可以帮你进一步分析和解决问题。
from pyecharts import options as opts from pyecharts.charts import Bar c = ( Bar() .add_xaxis( [ "名字很长的X轴标签1", "名字很长的X轴标签2", "名字很长的X轴标签3", "名字很长的X轴标签4", "名字很长的X轴标签5", "名字很长的X轴标签6", ] ) .add_yaxis("商家A", [10, 20, 30, 40, 50, 40]) .add_yaxis("商家B", [20, 10, 40, 30, 40, 50]) .set_global_opts( xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-15)), title_opts=opts.TitleOpts(title="Bar-旋转X轴标签", subtitle="解决标签名字过长的问题"), ) .render("bar_rotate_xaxis_label.html") )这个代码执行了不显示可视化图片
这段代码给出了一个旋转X轴标签的柱状图示例,但是在执行这段代码时,它只会生成一个HTML文件(bar_rotate_xaxis_label.html),并不会显示任何输出,因为它是在本地生成HTML文件。你可以在浏览器中打开HTML文件(bar_rotate_xaxis_label.html)来查看生成的柱状图。如果你想在PyCharm中查看图表,可以尝试使用pyecharts_snapshot库将图表转换为图片并在Python Shell中显示。你还需要确保已经安装了pyecharts和pandas等必要的依赖库。以下是一个示例代码,将图表转换为图片并在Python Shell中显示:
```
from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.render import make_snapshot
from snapshot_selenium import snapshot as driver
c = (
Bar()
.add_xaxis(
[
"名字很长的X轴标签1",
"名字很长的X轴标签2",
"名字很长的X轴标签3",
"名字很长的X轴标签4",
"名字很长的X轴标签5",
"名字很长的X轴标签6",
]
)
.add_yaxis("商家A", [10, 20, 30, 40, 50, 40])
.add_yaxis("商家B", [20, 10, 40, 30, 40, 50])
.set_global_opts(
xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-15)),
title_opts=opts.TitleOpts(title="Bar-旋转X轴标签", subtitle="解决标签名字过长的问题"),
)
)
# 将图表转换为PNG图片并在Python Shell中显示
make_snapshot(driver, c.render(), "bar_rotate_xaxis_label.png")
```
这段代码将生成一个bar_rotate_xaxis_label.png图片,并在Python Shell中显示该图片。
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