import pandas as pd from pyecharts import options as opts from pyecharts.charts import Line # 读取Excel文件 data = pd.read_excel('6004021055.xlsx') # 提取数据 week = data['week'] need = data['need'] # 创建折线图对象 line = Line() line.set_global_opts( xaxis_opts=opts.AxisOpts(name='week', split_number=18, interval=10), yaxis_opts=opts.AxisOpts(name='need', split_number=10, interval=10, axislabel_opts={"interval": 10}), title_opts=opts.TitleOpts(title='6004021055') ) # 设置图例 legend_data = ['需求'] line.add_xaxis(week) line.add_yaxis(legend_data[0], need, linestyle_opts=opts.LineStyleOpts(width=2)) # 显示中文标签 line.set_series_opts(label_opts=opts.LabelOpts(is_show=True, position='right')) # 生成HTML文件 line.render('line_chart_6004021055.html')我希望我的代码实现的图像上的点不显示数据，只有鼠标放上去才显示

要实现图像上的点不显示数据，只有鼠标放上去才显示，你可以在添加数据时，通过设置 `label_opts` 参数来控制数据的显示方式。具体做法是将 `label_opts` 的 `is_show` 参数设置为 `False`，即不显示数据标签。代码示例如下：

line.add_yaxis(legend_data[0], need, linestyle_opts=opts.LineStyleOpts(width=2), label_opts=opts.LabelOpts(is_show=False))

这样，图像上的点就不会显示数据，只有当鼠标放上去时才会显示数据。

相关问题

import pandas as pd from pyecharts import options as opts from pyecharts.charts import Line # 读取Excel文件 data = pd.read_excel('6004021055.xlsx') # 提取数据 week = data['week'] need = data['need'] # 创建折线图对象 line = Line() line.set_global_opts( xaxis_opts=opts.AxisOpts(name='week', split_number=18, interval=10), yaxis_opts=opts.AxisOpts(name='need', split_number=10, interval=10, axislabel_opts={"interval": 10}), title_opts=opts.TitleOpts(title='6004021055'), tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="cross") ) # 设置图例 legend_data = ['需求'] line.add_xaxis(week) line.add_yaxis(legend_data[0], need, is_smooth=True, label_opts=opts.LabelOpts(is_show=False)) # 显示中文标签 line.set_series_opts(label_opts=opts.LabelOpts(is_show=True, position='top')) # 生成HTML文件 line.render('line_chart_6004021055.html')这个代码还是会在生成的图像上之间出现数据，我要求是只有鼠标放上去才显示

你可以使用 `label_opts=opts.LabelOpts(is_show=False)` 选项来隐藏数据标签然后使用 `tooltip_opts=opts.TooltipOpts(trigger="axis",_pointer_type="cross")` 选项来设置鼠标停时显示数据。下面是修改后的代码：

from pyecharts import options as opts
from pyecharts.charts import Line

# 读取Excel文件
data = pd.read_excel('6004021055.xlsx')

# 提取数据
week = data['week']
need = data['need']

# 创建折线图对象
line = Line()
line.set_global_opts(
    xaxis_opts=opts.AxisOpts(name='week', split_number=18, interval=10),
    yaxis_opts=opts.AxisOpts(name='need', split_number=10, interval=10, axislabel_opts={"interval": 10}),
    title_opts=opts.TitleOpts(title='6004021055'),
    tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="cross")
)

# 设置图例
legend_data = ['需求']
line.add_xaxis(week)
line.add_yaxis(legend_data[0], need, is_smooth=True, label_opts=opts.LabelOpts(is_show=False))

# 显示中文标签
line.set_series_opts(label_opts=opts.LabelOpts(is_show=True, position='top'))

# 生成HTML文件
line.render('line_chart_6004021055.html')

这样修改后，生成的折线图上只有鼠标放上去才会显示数据。

import pandas as pd from pyecharts import options as opts from pyecharts.charts import Scatter # 读取Excel文件 data = pd.read_excel('6004021055.xlsx') # 提取数据 week = data['week'] need = data['need'] # 创建散点图对象 scatter = Scatter() scatter.set_global_opts( xaxis_opts=opts.AxisOpts(name='week', split_number=18, interval=10), yaxis_opts=opts.AxisOpts(name='need', split_number=10, interval=10, axislabel_opts={"interval": 10}), title_opts=opts.TitleOpts(title='6004021055') ) # 设置图例 legend_data = ['需求'] scatter.add_xaxis(week) scatter.add_yaxis(legend_data[0], need, symbol_size=10) # 显示中文标签 scatter.set_series_opts(label_opts=opts.LabelOpts(is_show=True, position='right')) # 生成HTML文件 scatter.render('scatter_chart_6004021055.html')帮我把这段代码从绘制散点图修改成绘制折线图，要求在点上不显示数据

好的，我将把代码从绘制散点图修改为绘制折线图，并且在数据点上不显示数据。以下是修改后的代码：

import pandas as pd
from pyecharts import options as opts
from pyecharts.charts import Line

# 读取Excel文件
data = pd.read_excel('6004021055.xlsx')

# 提取数据
week = data['week']
need = data['need']

# 创建折线图对象
line = Line()
line.set_global_opts(
    xaxis_opts=opts.AxisOpts(name='week', split_number=18, interval=10),
    yaxis_opts=opts.AxisOpts(name='need', split_number=10, interval=10, axislabel_opts={"interval": 10}),
    title_opts=opts.TitleOpts(title='6004021055')
)

# 设置图例
legend_data = ['需求']
line.add_xaxis(week)
line.add_yaxis(legend_data[0], need, is_smooth=True, label_opts=opts.LabelOpts(is_show=False))

# 生成HTML文件
line.render('line_chart_6004021055.html')

这样修改后，代码将绘制折线图，并且在数据点上不显示数据。