Related
I want to add two moving points represent the location of two trains according to the day. My day data is as shown in pic starting from 0 to 7. However, in the resulting animation, the slider does not slide into the integer day. It jumped from 1.75 to 2.25 or 2.75 to 3.25 automatically. Can anyone help me to solve that?
trainpath info
import plotly.graph_objects as go
import pandas as pd
dataset = pd.read_csv('trainpath.csv')
days = []
for k in range(len(dataset['day'])):
if dataset['day'][k] not in days:
days.append(dataset['day'][k])
t1 = [-1, 0, 1, 1, 1, 0, -1, -1, -1]
k1 = [-20, -20, -20, 0, 20, 20, 20, 0, -20]
# make list of trains
trains = []
for train in dataset["train"]:
if train not in trains:
trains.append(train)
# make figure
fig_dict = {
"data": [go.Scatter(x=t1, y=k1,
mode="lines",
line=dict(width=2, color="blue")),
go.Scatter(x=t1, y=k1,
mode="lines",
line=dict(width=2, color="blue"))],
"layout": {},
"frames": []
}
# fill in most of layout
fig_dict['layout']['title'] = {'text':'Train Animation'}
fig_dict["layout"]["xaxis"] = {"range": [-10, 10], "title": "xlocation", 'autorange':False, 'zeroline':False}
fig_dict["layout"]["yaxis"] = {"range": [-22, 22], "title": "ylocation", 'autorange':False, 'zeroline':False}
fig_dict["layout"]["hovermode"] = "closest"
fig_dict["layout"]["updatemenus"] = [
{
"buttons": [
{
"args": [None, {"frame": {"duration": 500, "redraw": False},
"fromcurrent": True, "transition": {"duration": 300,
"easing": "quadratic-in-out"}}],
"label": "Play",
"method": "animate"
},
{
"args": [[None], {"frame": {"duration": 0, "redraw": False},
"mode": "immediate",
"transition": {"duration": 0}}],
"label": "Pause",
"method": "animate"
}
],
"direction": "left",
"pad": {"r": 10, "t": 87},
"showactive": False,
"type": "buttons",
"x": 0.1,
"xanchor": "right",
"y": 0,
"yanchor": "top"
}
]
sliders_dict = {
"active": 0,
"yanchor": "top",
"xanchor": "left",
"currentvalue": {
"font": {"size": 20},
"prefix": "Day:",
"visible": True,
"xanchor": "right"
},
"transition": {"duration": 300, "easing": "cubic-in-out"},
"pad": {"b": 10, "t": 50},
"len": 0.9,
"x": 0.1,
"y": 0,
"steps": []
}
# make data
day = 0
for train in trains:
dataset_by_date = dataset[dataset['day']==day]
dataset_by_date_and_train = dataset_by_date[dataset_by_date['train']==train]
data_dict = {
'x': list(dataset_by_date_and_train['x']),
'y': list(dataset_by_date_and_train['y']),
'mode': 'markers',
'text': train,
'marker': {
'sizemode': 'area',
'sizeref': 20,
'size': 20,
# 'size': list(dataset_by_date_and_train['quantity']) # this section can be used to increase or decrease the marker size to reflect the material quantity
},
'name': train
}
fig_dict['data'].append(data_dict)
# make frames
for day in days:
frame={'data': [go.Scatter(x=t1, y=k1,
mode="lines",
line=dict(width=2, color="blue")),
go.Scatter(x=t1, y=k1,
mode="lines",
line=dict(width=2, color="blue"))], 'name':str(day)}
for train in trains:
dataset_by_date = dataset[dataset['day'] == day]
dataset_by_date_and_train = dataset_by_date[dataset_by_date['train'] == train]
data_dict = {
'x': list(dataset_by_date_and_train['x']),
'y': list(dataset_by_date_and_train['y']),
'mode': 'markers',
'text': train,
'marker': {
'sizemode': 'area',
'sizeref': 20,
'size': 20,
# 'size': list(dataset_by_date_and_train['quantity']) # this section can be used to increase or decrease the marker size to reflect the material quantity
},
'name': train
}
frame['data'].append(data_dict)
fig_dict['frames'].append(frame)
slider_step = {'args': [
[day],
{'frame': {'duration':300, 'redraw':False},
'mode': 'immediate',
'transition': {'duration':3000}}
],
'label': day,
'method': 'animate'}
sliders_dict["steps"].append(slider_step)
if day == 7:
print('H')
fig_dict["layout"]["sliders"] = [sliders_dict]
fig = go.Figure(fig_dict)
fig.show()
The df is like this:
X Y Label
0 [16, 37, 38] [7968, 4650, 3615] 0.7
1 [29, 37, 12] [4321, 4650, 1223] 0.8
2 [12, 2, 445] [1264, 3456, 2112] 0.9
This should plot three lines on the same plot with labels as continuous variables. What is the fastest & simplest way to plot it using plotly?
Taking This should plot three lines on the same plot as the requirement. (Which is inconsistent with where I want subplots from each row of the df)
Simple case of create a trace for each row, using https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.explode.html to prepare x and y
import pandas as pd
import plotly.graph_objects as go
df = pd.DataFrame(
{
"X": [[16, 37, 38], [29, 37, 12], [12, 2, 445]],
"Y": [[7968, 4650, 3615], [4321, 4650, 1223], [1264, 3456, 2112]],
"Label": [0.7, 0.8, 0.9],
}
)
go.Figure(
[
go.Scatter(
x=r["X"].explode(), y=r["Y"].explode(), name=str(r["Label"].values[0])
)
for _, r in df.groupby(df.index)
]
)
with continuous color defined by label
import pandas as pd
import plotly.graph_objects as go
from plotly.colors import sample_colorscale
import plotly.express as px
df = pd.DataFrame(
{
"X": [[16, 37, 38], [29, 37, 12], [12, 2, 445]],
"Y": [[7968, 4650, 3615], [4321, 4650, 1223], [1264, 3456, 2112]],
"Label": [0.1, 0.5, 0.9],
}
)
fig = px.scatter(x=[0], y=[0], color=[.5], color_continuous_scale="YlGnBu")
fig = fig.add_traces(
[
go.Scatter(
x=r["X"].explode(),
y=r["Y"].explode(),
name=str(r["Label"].values[0]),
line_color=sample_colorscale("YlGnBu", r["Label"].values[0])[0],
showlegend=False
)
for _, r in df.groupby(df.index)
]
)
fig
I want to make this chart in Pentaho CDE:
based in this chart (I think that is the most similar from among CCC Components):
(The code is in this link.)
but I don't know how I can adapt my data input to that graph.
For example, I want to consume the data with this format:
[Year, customers_A, customers_B, cars_A, cars_B] [2014, 8, 4, 23, 20]
[2015, 20, 6, 30, 38]
How I can input my data in this chart?
Your data should come as an object such as this:
data = {
metadata: [
{ colName: "Year", colType:"Numeric", colIndex: 1},
{ colName: "customers_A", colType:"Numeric", colIndex: 2},
{ colName: "customers_B", colType:"Numeric", colIndex: 3},
{ colName: "cars_A", colType:"Numeric", colIndex: 4},
{ colName: "cars_B", colType:"Numeric", colIndex: 5}
],
resultset: [
[2014, 8, 4, 23, 20],
[2015, 20, 6, 30, 38]
],
queryInfo: {totalRows: 2}
}
I'm building a rally custom HTML app. I would like to create a heat map chart. How can I do that?
I've tried to create Rally Chart of the type 'heatmap' (code below). As a result, I see the 404 error message in the console:
GET https://rally1.rallydev.com/slm/panel/highcharts/heatmap.js?_dc=1558434971290 404
When I try to use Highcharts library directly I'm getting a conflict with https://rally1.rallydev.com/apps/2.1/lib/analytics/analytics-all.js - highcharts being loaded twice. As a result analytics lib do not load I guess and I get an error like Lumenize.Time undefined.
this.chart = this.add(
Ext.create('Rally.ui.chart.Chart', {
loadMask: false,
chartData: {
series: [{
type:'heatmap',
name: 'Sales per employee',
borderWidth: 1,
data: [[0, 0, 10], [0, 1, 19], [0, 2, 8], [0, 3, 24], [0, 4, 67], [1, 0, 92], [1, 1, 58], [1, 2, 78], [1, 3, 117], [1, 4, 48], [2, 0, 35], [2, 1, 15], [2, 2, 123], [2, 3, 64], [2, 4, 52], [3, 0, 72], [3, 1, 132], [3, 2, 114], [3, 3, 19], [3, 4, 16], [4, 0, 38], [4, 1, 5], [4, 2, 8], [4, 3, 117], [4, 4, 115], [5, 0, 88], [5, 1, 32], [5, 2, 12], [5, 3, 6], [5, 4, 120], [6, 0, 13], [6, 1, 44], [6, 2, 88], [6, 3, 98], [6, 4, 96], [7, 0, 31], [7, 1, 1], [7, 2, 82], [7, 3, 32], [7, 4, 30], [8, 0, 85], [8, 1, 97], [8, 2, 123], [8, 3, 64], [8, 4, 84], [9, 0, 47], [9, 1, 114], [9, 2, 31], [9, 3, 48], [9, 4, 91]],
dataLabels: {
enabled: true,
color: '#000000'
}
}]
},
chartConfig: {
chart: {
marginTop: 40,
marginBottom: 80,
plotBorderWidth: 1
},
title: {
text: 'Sales per employee per weekday'
},
xAxis: {
categories: ['Alexander', 'Marie', 'Maximilian', 'Sophia', 'Lukas', 'Maria', 'Leon', 'Anna', 'Tim', 'Laura']
},
yAxis: {
categories: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'],
title: null
},
colorAxis: {
min: 0,
minColor: '#FFFFFF',
//maxColor: Highcharts.getOptions().colors[0]
},
legend: {
align: 'right',
layout: 'vertical',
margin: 0,
verticalAlign: 'top',
y: 25,
symbolHeight: 280
},
tooltip: {
formatter: function () {
return '<b>' + this.series.xAxis.categories[this.point.x] + '</b> sold <br><b>' +
this.point.value + '</b> items on <br><b>' + this.series.yAxis.categories[this.point.y] + '</b>';
}
},
}
})
);
The problem you are going to hit is that the Highcharts v3.0.10 is bundled into the analytics code. This has been done so that there is a known Highcharts library used with the added Lumenize code - i.e. they match. The analytics library is dynamically loaded if the SDK can't find a Highcharts library as it starts up (i.e. window.Highcharts is undefined).
The result of this is that it looks like it is quite kludgy to change the Highcharts arrangement to add heatmaps. Someone who is better at javascript library loading/overloading might have a different view. You would have to load the heatmap.js file into your app after the app has started (in 'launch'?) to get around the dynamic loading.
I know that this is not directly related to your Highcharts question, but if it is just a 'heatmap' you are after, not necessarily a Highcharts heatmap, I have started to use d3 to visualise stuff in Rally. There is a d3 heatmap example here if you are interested: http://bl.ocks.org/tjdecke/5558084
I have done a bit of work to get d3 working inside a Rally custom app. There are a few examples on my github, but have a look here: https://github.com/nikantonelli/Radial-Density
I'm trying to use a combination of geopandas, Pandas and Folium to create a polygon map that I can embed incorporate into a web page.
For some reason, it's not displaying.
The steps I've taken:
Grabbed a .shp from the UK's OS for Parliamentary boundaries.
I've then used geopandas to change the projection to epsg=4326 and then exported as GeoJSON which takes the following format:
{ "type": "Feature", "properties": { "PCON13CD": "E14000532", "PCON13CDO": "A03", "PCON13NM": "Altrincham and Sale West" }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -2.313999519326579, 53.357408280545918 ], [ -2.313941776174758, 53.358341455420039 ], [ -2.31519699483377, 53.359035664493433 ], [ -2.317953152796459, 53.359102954309151 ], [ -2.319855973429864, 53.358581917200119 ],... ] ] ] } },...
Then what I'd like to do is mesh this with a dataframe of constituencies in the following format, dty:
constituency count
0 Burton 667
1 Cannock Chase 595
2 Cheltenham 22
3 Cheshire East 2
4 Congleton 1
5 Derbyshire Dales 1
6 East Staffordshire 4
import folium
mapf = folium.Map(width=700, height=370, tiles = "Stamen Toner", zoom_start=8, location= ["53.0219392","-2.1597434"])
mapf.geo_json(geo_path="geo_json_shape2.json",
data_out="data.json",
data=dty,
columns=["constituency","count"],
key_on="feature.properties.PCON13NM.geometry.type.Polygon",
fill_color='PuRd',
fill_opacity=0.7,
line_opacity=0.2,
reset="True")
The output from mapf looks like:
mapf.json_data
{'../../Crime_data/staffs_data92.json': [{'Burton': 667,
'Cannock Chase': 595,
'Cheltenham': 22,
'Cheshire East': 2,
'Congleton': 1,
'Derbyshire Dales': 1,
'East Staffordshire': 4,
'Lichfield': 438,
'Newcastle-under-Lyme': 543,
'North Warwickshire': 1,
'Shropshire': 17,
'South Staffordshire': 358,
'Stafford': 623,
'Staffordshire Moorlands': 359,
'Stoke-on-Trent Central': 1053,
'Stoke-on-Trent North': 921,
'Stoke-on-Trent South': 766,
'Stone': 270,
'Tamworth': 600,
'Walsall': 1}]}
Although the mapf.create_map() function successfully creates a map, the polygons don't render.
What debugging steps should I take?
#elksie5000, Try mplleaflet it is extremely straightforward.
pip install mplleaflet
in Jupyter/Ipython notebook:
import mplleaflet
ax = geopandas_df.plot(column='variable_to_plot', scheme='QUANTILES', k=9, colormap='YlOrRd')
mplleaflet.show(fig=ax.figure)