bokeh

问题 I am developing a Flask web application to show data in a DataTable and also build interactive reports by Bokeh. My below code to show bokeh DataTable not work. from flask import Flask, render_template, request import pandas as pd from bokeh.embed import components from bokeh.models.widgets import DataTable, DateFormatter, TableColumn from bokeh.models.sources import ColumnDataSource app = Flask(__name__) # Load the Iris Data Set iris_df = pd.read_csv("/data/iris.data", names=["Sepal Length",

问题 I am fairly new to Bokeh and try to achieve the following: I have a dataset with rows containing dates in the format dd-mm-yyyy. The dates are counted and then plotted. When zoomed in I want Bokeh to show the indiviudal dates (that works already). When zoomed out I want Bokeh only to show the months (or years when zoomed out even further). Right know the index gets pretty messy due to individual dates getting closer and closer the more you zoom out. Is there a way to tell Bokeh to change what

问题 I am fairly new to Bokeh and try to achieve the following: I have a dataset with rows containing dates in the format dd-mm-yyyy. The dates are counted and then plotted. When zoomed in I want Bokeh to show the indiviudal dates (that works already). When zoomed out I want Bokeh only to show the months (or years when zoomed out even further). Right know the index gets pretty messy due to individual dates getting closer and closer the more you zoom out. Is there a way to tell Bokeh to change what

问题 I would like to plot a graph with a proportional colour bar on the right like graph 1, but with bokeh rather than matplotlib. Here's the matplotlib version with a proportional (pre-defined boundaries) colour bar using matplotlib colors.BoundaryNorm(bounds, cmap.N) : But my current bokeh version has the right hand side colour bar not proportional, although I have given ticker boundaries: My bokeh code: ticker = FixedTicker(ticks=bounds) bounds = [0, 5, 25, 75, 95,100] color_bar = ColorBar

问题 I would like to plot a graph with a proportional colour bar on the right like graph 1, but with bokeh rather than matplotlib. Here's the matplotlib version with a proportional (pre-defined boundaries) colour bar using matplotlib colors.BoundaryNorm(bounds, cmap.N) : But my current bokeh version has the right hand side colour bar not proportional, although I have given ticker boundaries: My bokeh code: ticker = FixedTicker(ticks=bounds) bounds = [0, 5, 25, 75, 95,100] color_bar = ColorBar

问题 I want Bokeh to update periodically and arbitrarily when the results from a separate algorithm running in python returns results, not based on any input from the Bokeh interface. I've tried various solutions but they all depend on a callback to a some UI event or a periodic callback as in the code below. import numpy as np from bokeh.plotting import figure, curdoc from bokeh.models import ColumnDataSource, Plot, LinearAxis, Grid from bokeh.models.glyphs import MultiLine from time import sleep

问题 Is there possible to update bokeh figure's renderes in IPython's interact function. I have code which looks like: x = [0, 1, 2, 3, 4] y = [0, 1, 2, 3, 4] source = ColumnDataSource(data=dict(x=x, y=y) f = figure() f.line(x, y, source=source) show(f) def update_func(selected_data): source.data['y'] = ... source.push_notebook() <here I would like to add BoxAnnotation to figure f, and rerender it> interactive(update_func, selected_data=[0,1,2]) 回答1: As of Bokeh 0.11 the push_notebook function can

问题 I'm trying to use toggle buttons in Bokeh to create an interactive website where a user can click toggle buttons to select which graphs are plotted. The buttons would load data from a text file (containing two columns x and y data). the data files have two columns containing x and y data separated by a space. When the toggle buttons are selected then the corresponding data would be plotted, the plot would be removed when the toggle button is deselected. I'm currently having trouble passing an

问题 I want to make a correlation heatmap for a DataFrame and a regression plot for each pair of the variables. I have tried to read all the docs and am still having a very hard time to connect two plots so that when I tap the heatmap, the corresponding regression plot can show up. Here's some example code: import holoviews as hv from holoviews import opts import seaborn as sns import numpy as np import pandas as pd hv.extension('bokeh') df = sns.load_dataset('tips') df = df[['total_bill', 'tip',

问题 I am a beginner to using Python's bokeh plotting tool and widgets. In my following code I am trying to have the title of the graph change to the value of the TextInput box. However, while the box appears upon entering in text and unfocusing, nothing changes. What could be causing this issue and what can I do to fix it? p=figure( height=400, x_axis_type='datetime', title=(company+' ('+tickerstring+') ') ) thedates = np.array(stockdates, dtype=np.datetime64) source = ColumnDataSource(data=dict(