一个有用的检查器是当用户将鼠标悬停在数据点上时出现的提示工具,在 Bokeh 中称为 HoverTool 。 为了添加提示工具(tooltips),我们需要将数据源从 dataframe 更改为ColumnDataSource(CDS),这是 Bokeh 中的一个关键概念。CDS 是一个专门用于绘图的对象,包括数据以及多个方法和属性。CDS 允许我们为图形添加注释和交互...
之前咱们介绍过Pandas可视化图表的绘制《『数据可视化』一文掌握Pandas可视化图表》，不过它是依托于matplotlib...
from bokeh.models.widgets import CheckboxGroup # Create the checkbox selection element, available carriers is a # list of all airlines in the data carrier_selection = CheckboxGroup(labels=available_carriers, active = [0, 1]) Bokeh 复选框中的标签必须是字符串,而活动值是整数。 这意味着在图形中...
(train_valid_date, None), slice(None)), :] df_feature = df_train['feature'] df_label = df_train['label']['LABEL_1'] from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(df_feature,df_label, test_size=0.2) return X_train...
# Create the checkbox selection element, available carriers is a # list of all airlines in the data carrier_selection = CheckboxGroup(labels=available_carriers, active = [0, 1]) 1. 2. 3. 4. 5. Bokeh 复选框中的标签必须是字符串,而活动值是整数。 这意味着在图形中 'AirTran Airways Corpo...
ExampleExample code for legend customisation is as follows −from bokeh.plotting import figure, output_file, show import math x2 = list(range(1,11)) y4 = [math.pow(i,2) for i in x2] y2 = [math.log10(pow(10,i)) for i in x2] fig = figure(y_axis_type = 'log') fig....
Interactivity is created by enabling the selection of a combination of different tickers and different time periods (on the price trend charts). The web app will look like this: Creating the Stock Market Web App Bokeh Project 1. You will need to create a project folder and name it Select...
(source, rect, selection_glyph=rect, nonselection_glyph=rect) # Python side event to display the contents of the Rectangle glyphs data_source.data object # This also adds a new Rectangle that should appear in the chart def button_click_event(): print("Button was pushed") # data = copy...
First, specify the selection tools you want to make available. In the example above, 'box_select', 'lasso_select', 'poly_select', and 'tap' (plus a reset button) were specified in a list called select_tools. When the figure is instantiated, the toolbar is positioned 'below' the plot...
Just provide the category keyword for the selection of the property column: category: Specifies the column of the GeoDataFrame that should be used to draw a choropleth map show_colorbar: Whether or not to show a colorbar for categorical plots. Default: True Let us now draw the regions as ...