Skip to content
Snippets Groups Projects
Verified Commit 2bdfae88 authored by David Beniamine's avatar David Beniamine
Browse files

Dashboards updated

parent 4c50e449
No related branches found
No related tags found
No related merge requests found
Expand all Show whitespace changes
Inline Side-by-side
dashboads/bokeh.ipynb deleted 100644 → 0
+ 0
− 977
View file @ 4c50e449
%% Cell type:code id: tags:
``` python
# Imported from seaborn tutorial https://nbviewer.jupyter.org/github/bokeh/bokeh-notebooks/blob/master/tutorial/06%20-%20Linking%20and%20Interactions.ipynb
from bokeh.io import output_notebook, show
from bokeh.plotting import figure
output_notebook()
from bokeh.layouts import column
from bokeh.models import CustomJS, ColumnDataSource, Slider
x = [x*0.005 for x in range(0, 201)]
source = ColumnDataSource(data=dict(x=x, y=x))
plot = figure(plot_width=400, plot_height=400)
plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6)
slider = Slider(start=0.1, end=6, value=1, step=.1, title="power")
update_curve = CustomJS(args=dict(source=source, slider=slider), code="""
var data = source.data;
var f = slider.value;
x = data['x']
y = data['y']
for (i = 0; i < x.length; i++) {
y[i] = Math.pow(x[i], f)
}
// necessary becasue we mutated source.data in-place
source.change.emit();
""")
slider.js_on_change('value', update_curve)
show(column(slider, plot))
```
%% Output
%% Cell type:code id: tags:
``` python
#Imported from Interact_seaborn
from ipywidgets import interact, interactive
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
tips = sns.load_dataset("tips")
from bokeh.plotting import figure
from bokeh.models import ColumnDataSource
from bokeh.io import output_notebook, show
from bokeh.palettes import Category10_10 as palette
from bokeh.transform import factor_cmap
output_notebook()
@interact(color=["smoker","sex","day","time","size"])
def f(color):
cds_df = ColumnDataSource(tips)
p = figure(title="Tips repartition",
x_axis_label="Total bill",
y_axis_label="Tip")
categories=[str(x) for x in tips[color].unique()]
# Hack to fix bug with size being integer values
tips['size']=[str(x) for x in tips['size']]
colors = factor_cmap(color, palette=palette, factors=categories)
p.circle(x='total_bill', y='tip', color=colors, legend=colors, source=cds_df)
show(p)
```
%% Output
%% Cell type:code id: tags:
``` python
# Interactive plot with only matplotlib and jupyter interactive widget
from ipywidgets import interact, interactive
import matplotlib.pyplot as plt
import numpy as np
def ma_fonction(a,b,c):
plt.figure(2) # ???
x = np.linspace(-10,10, num=1000)
plt.plot(x, a*x**2+b*x+c)
plt.ylim(-10,10)
plt.show()
interactive_plot = interactive(ma_fonction, a=(-10,10), b=(-20,20), c=(-5,5))
interactive_plot
```
%% Output
%% Cell type:code id: tags:
``` python
# And again bokeh code
# Imported from seaborn tutorial https://nbviewer.jupyter.org/github/bokeh/bokeh-notebooks/blob/master/tutorial/06%20-%20Linking%20and%20Interactions.ipynb
from bokeh.io import output_notebook, show
from bokeh.plotting import figure
output_notebook()
from bokeh.layouts import column
from bokeh.models import CustomJS, ColumnDataSource, Slider
x = [x*0.005 for x in range(0, 201)]
source = ColumnDataSource(data=dict(x=x, y=x))
plot = figure(plot_width=400, plot_height=400)
plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6)
slider = Slider(start=0.1, end=6, value=1, step=.1, title="power")
update_curve = CustomJS(args=dict(source=source, slider=slider), code="""
var data = source.data;
var f = slider.value;
x = data['x']
y = data['y']
for (i = 0; i < x.length; i++) {
y[i] = Math.pow(x[i], f)
}
// necessary becasue we mutated source.data in-place
source.change.emit();
""")
slider.js_on_change('value', update_curve)
show(column(slider, plot))
```
%% Output
%% Cell type:code id: tags:
``` python
```
dashboards/Interact_seaborn.ipynb 0 → 100644
+ 1643
− 0
View file @ 2bdfae88
This diff is collapsed.
dashboads/csv.ipynb → dashboards/csv.ipynb
+ 0
− 0
View file @ 2bdfae88
File moved
dashboards/test.csv 0 → 100644
+ 4
− 0
View file @ 2bdfae88
nom;prenom;surnom
toto;d;toto
titi;a;tutu
tata;plop;a
requirements.txt 0 → 100644
+ 3
− 0
View file @ 2bdfae88
bokeh
matplotlib
seaborn
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment