Simple bar graph express bar barplot Grouped bar graph color attribute and barmode=’group’ hue attribute Stacked bar graph color attribute label and color attributes with multiple plots Simple line graph express line lineplot Multiple line graph color and symbol attributes hue attribute Simple pie ...
# 柱状图1, 不同水果不同城市的销售额fig = px.bar(df, x="Fruit", y="Amount", color="City", barmode="group")# 箱型图1, 不同城市的销售额分布情况fig1 = px.box(df, x="City", y="Amount", color="City") 效果如下。 剩下就是文字模块啦,文字+CSS样式。 其中排版布局美化,通过Tailwind...
Bar chart is used to simulate the changing trend of objects over time or to compare the figures / factors of objects. Bar charts usually have two axes: one axis is the object / factor that needs to be analyzed, the other axis is the parameters of the objects. For this dataset, I will...
(Ordered Bar Chart) 18、棒棒糖图(Lollipop Chart) 19、点图 (Dot Plot) 20、坡图(Slope Chart) 21、哑铃图(Dumbbell Plot) 四、分布(Distribution)关系图 21、连续变量堆积直方图(Stacked Histogram for Continuous Variable) 22、类别变量堆积直方图(Stacked Histogram for Categorical Variable) 23、密度图(...
graph_objects as go import numpy as np # Generate sample data x = np.linspace(-5, 5, 100) y = np.linspace(-5, 5, 100) x, y = np.meshgrid(x, y) z = np.sin(np.sqrt(x**2 + y**2)) # Create a 3D surface plot fig = go.Figure(data=[go.Surface(z=z, x=x, y=y)...
The bargraph is colored by “Sex”, so we can clearly distinguish male students from female students; and when you hover over the barchart, you can see information about each student in the dataset. Now, let us see how we can customize the plot legend to make it more appealing....
(axis) for graph draw 19 fig, ax = plt.subplots() 20 # bar(position_list, height_list, width_of_bar) 21 ax.bar(bar_position, bar_height, 0.3) 22 # Use barh to create a horizonal bar figure 23 ax.barh(bar_position, bar_height, 0.3) 24 # Set position of ticks 25 ax.set_...
https://github.com/holtzy/The-Python-Graph-Gallery 给大家提供了示例及代码,几分钟内就能构建一个你所需要的图表。 下面就给大家介绍一下～ 01. 小提琴图 小提琴图可以将一组或多组数据的数值变量分布可视化。 相比有时会隐藏数据特征的箱形图相比,小提琴图值得更多关注。
https://www.python-graph-gallery.com GitHub地址 https://github.com/holtzy/The-Python-Graph-Gallery 给大家提供了示例及代码,几分钟内就能构建一个你所需要的图表。 下面就给大家介绍一下～ 01. 小提琴图 小提琴图可以将一组或多组数据的数值变量分布可视化。
5. 主题河流图(Stream Graph/ Theme River) 主题河流图,顾名思义,其形态宛如自然界的河流,实际上它是一种独具匠心的流图设计。这种图表主要用于描绘事件或主题随时间而发生的动态变化。河流图中,不同的颜色巧妙地区分了各个类别,或用以展示每个类别的附加定量信息。而河流的流向则与横贯图表的X轴平行,清晰映射出...