Tag: Python

Below is the code for a work fragment.

This is what is strange about behavior:

• Touching the button frequently freezes the application.
• The lower right group never contributes to the histogram when it is selected.

We appreciate any comments about the code.

import numpy as np
import pandas like pd

From bokeh.layouts we import gridplot
from bokeh.models import BoxSelectTool, LassoSelectTool
of bokeh.ploting import figure, curdoc
from bokeh.io import output_file, show
from bokeh.models.widgets import button
from bokeh.models import ColumnDataSource
from bokeh.models import DataRange1d

button = Button (label = "Plot Points and remake histogram", button_type = "success")

def generated ():
x global
global and

size1 = np.random.randint (1,1000, size = 1)[0]
    size2 = np.random.randint (1,1000, size = 1)[0]
    size3 = np.random.randint (1,1000, size = 1)[0]

    # create three samples of normal population with different parameters
x1 = np.random.normal (loc = 5.0, size = size1) * 100; y1 = np.random.normal (loc = 10.0, size = size1) * 10
x2 = np.random.normal (loc = 5.0, size = size2) * 50; y2 = np.random.normal (loc = 5.0, size = size2) * 10
x3 = np.random.normal (loc = 55.0, size = size3) * 10; y3 = np.random.normal (loc = 4.0, size = size3) * 10

x = np.concatenate ((x1, x2, x3))
y = np.concatenate ((y1, y2, y3))


generate ()


TOOLS = "pan, wheel_zoom, box_select, lasso_select, reset"

p = figure (tools = TOOLS, plot_width = 700, plot_height = 600, min_border = 10, min_border_left = 50,
toolbar_location = "above", x_axis_location = None, y_axis_location = None,
title = "Dispersion diagram")

pointchart_source = ColumnDataSource (pd.DataFrame ({& # 39; x & # 39 ;: x, & # 39; and & # 39 ;: and}))
r = p.scatter (x = & # 39; x & # 39 ;, y = & # 39; and & # 39 ;, size = 3, color = "# 3A5785", alpha = 0.6, font = pointchart_source)


# create histogram
hhist, hedges = np.histogram (x, bins = 10) #Set bin binebr here
hzeros = np.zeros (len (hedges) -1)
hmax = max (hhist) * 1.1

LINE_ARGS = dict (color = "# 3A5785", line_color = None)

ph = figure (toolbar_location = None, plot_width = 600, plot_height = 300, x_range = p.x_range,
y_range = (- hmax, hmax), min_border = 10, min_border_left = 50, and_axis_location = "right")

white_hist_glyph = ph.quad (bottom = 0, left = hedges[:-1], right = hedges[1:], above = hhist, color = "white", line_color = "# 3A5785")

blue_hist_glyph = ph.quad (lower = 0, left = coverages[:-1], right = hedges[1:], above = hzeros, alpha = 0.5, ** LINE_ARGS)


bins_count = 20

def on_selection_callback (attr, old, new):

x = pd.DataFrame (pointchart_source.data) .loc[new]['x']

    

    

    

    inds = new

allvalues ​​= pd.DataFrame (pointchart_source.data) .loc[:]['x']

    

    

    

    blue_hist_values, _ = np.histogram (x[inds], bins = white_hist_edges)
#lesson: set this in the original containers
#white_hist_edges
blue_hist_glyph.data_source.data["top"]   = blue_hist_values


r.data_source.selected.on_change (& # 39; indexes & # 39 ;, on_selection_callback)


def new_source_callback ():
global white_hist_edges

#Develops new global fixes for x and y
generate ()

# New plotted points (fails)
pointchart_source.data = ColumnDataSource (pd.DataFrame ({& # 39; x & # 39 ;: x, & # 39; and & # 39 ;: and})). data

allvalues ​​= pd.DataFrame (pointchart_source.data['x'])
white_hist_values, white_hist_edges = np.histogram (allvalues, bins = bins_count)
white_hist_glyph.data_source.data["top"] = white_hist_values

#blue_hist_values, _ = np.histogram (pointchart_source.data)['x'], bins = white_hist_edges)
blue_hist_glyph.data_source.data["top"] = np.zeros (len (white_hist_edges) -1)


ph.x_range = p.x_range

ph.y_range.start = -max (white_hist_values) * 1.1
ph.y_range.end = max (white_hist_values) * 1.1


button.on_click (new_source_callback)


layout = gridplot ([[p, ph, button]], merge_tools = False)
curdoc (). add_root (layout)
curdoc (). title = "Selection Histogram"


! powershell -command {& # 39; bokeh serve --show Histogram_test_v5.ipynb & # 39;}