I have a bar chart. It has 25 bars all representing a different category. The chart is fine however it only prints out a few of the categories.
I thought by using the line below that it would display all 25 categories that I have specified in x_labels.
set(gca,'XtickL',x_labels);
I also use the method rotateXLabel and rotate the labels 90 degrees so they are not over writing each other. However still only display some of the categories. How can I display all of them?
update
Here is my data,
'Health Care' 4.72629799981083
'Capital Goods' 4.09458147368759
'Transp' 3.98149295925542
'Media' 1.79439005788530
'Insurance' 1.69956150439052
'Commer Serv' 1.39773924375053
'Food & Staples' 1.37870312358688
'Tech Hardw' 1.14006008338028
'Div Finan' 1.07437424540054
'Retailing' 0.799227696500581
'Cons Durab' 0.484704646767555
'Semiconduct' -0.0668927175281457
'Cons Serv' -0.0994263844790881
'Software' -1.13770277184728
'Auto&Comp' -1.14193637823934
'Materials' -1.52052729345776
'Real Estate' -1.58166267932780
'HH & Prod' -1.68076878183555
'Food Bever' -1.73283367572542
'Pharma' -1.90119783888618
'Telecom' -2.04480219189470
'Utilities' -2.20510498991084
'Energy' -2.36405808621777
'Banks' -5.09421924506606
another update
Found the solution here. Its not quite 100% perfect though as some of my labels are too long so the chart cuts them off. Need to work out how to get round that issue
[pp,h1,h2]=plotyy((1:length(risk_tot)),risk_tot,(1:length(risk_tot)),risk_cont,'bar','stem');
xData = get(h1,'XData');
set(gca,'Xtick',linspace(xData(1),xData(end),length(x_labels(:, 1))));
Is this what you are looking for?:
value is vector with the provided values
label is a cell with the provided strings
bar(value);
set(gca, 'XTick', 1:length(value))
set(gca, 'XTickLabel', label)
grid on
rotateXLabels(gca(), 90)
Related
For better understanding of this question, let me show a working example in TradingView webpage, on which the following chart shows the combination of Momentum (area chart) + ADX (line chart):
As you can see, there are 2 vertical values, at left side is the ADX which the scale goes usually from 0 to 60(+-), but the right side, it can grow much more.
On my attempt to achieve the same here, the momentum (area chart) has a huge range, and the adx (lineal chart) goes from 0 to 60, so when it tries to fit both values under the same scale, my blue line looks like it's almost zero, in comparison with the area chart values. (Mouse-over the blue line showing that is currently 43)
So I think you get the point, would it be possible to have 2 scales/vAxis for each series of values?
I checked documentation already but nothing here seems to refer to what I mention:
https://developers.google.com/chart/interactive/docs/gallery/combochart
And just in case you need the options provided to the chart, nothing advanced, just the basic examples:
options:{
seriesType: 'area',
series: {
0: { type: 'line', color: 'blue' }
}
};
use option --> targetAxisIndex -- in the series option...
zero is the default v-axis
targetAxisIndex: 0
to create a second v-axis, assign one of the series to index 1
series: {
1: {
targetAxisIndex: 1
}
}
Found the solution over this post in the documentation, it is conceptually known as DUAL-Y Charts
https://developers.google.com/chart/interactive/docs/gallery/columnchart#dual-y-charts
I'm using Dash to plot some data. I currently have a clustered bar chart with two data sets (one for each bar in the clusters.) These data sets have their name and the corresponding color of the bars displayed in the top, left-hand corner of the figure. They can be clicked to be toggled on and off, which will remove their corresponding bars from the chart.
Separately, I have a checklist of items that can be displayed in the chart. I am using a callback to update the graph so that it only displays what the user has checked. This updates the graph as expected, however, it also resets the bars/datasets such that both are enabled. Ie. if you select only one of the bars, then select some new checklist items, it will display the new checklist items and both of the bars.
My thinking is that the logical way to do this is to pass some variable as a second input to the callback function, then set up the outputted figure within the function to only display the proper bars. However, I can't seem to find a variable that contains this data.
From what I can tell, the accessible properties of the Plotly graph object are 'id', 'clickData', 'clickAnnotationData', 'hoverData', 'clear_on_unhover', 'selectedData', 'relayoutData', 'figure', 'style', 'className', 'animate', 'animation_options', 'config', and 'loading_state'.
I've investigated all of these, and it seems that none hold the data that I am looking for. Does anyone know of an easy way to access this data?
This is how my callback is working right now:
#app.callback(
dash.dependencies.Output('theGraph', 'figure'),
[dash.dependencies.Input('theChecklist','values'),
dash.dependencies.Input('theGraph', 'clickData')
]
)
def updateGraph(checklistValues, figureInput):
#print to see what the variables hold
print(checklistValues)
print(figureInput)
figure=go.Figure(
data = [
go.Bar(
x = df[df['MyColumnName'].isin(checklistValues)].groupby('MyColumnName').size().index,
y = df[df['MyColumnName'].isin(checklistValues)].groupby('MyColumnName').size().values,
name = 'Bar 1'
),
go.Bar(
x = df[df['MyColumnName'].isin(checklistValues)].groupby('MyColumnName')['# cores'].sum().reset_index()['MyColumnName'],
y = df[df['MyColumnName'].isin(checklistValues)].groupby('MyColumnName')['# cores'].sum().reset_index()['MyOtherColumnName'],
name = 'Bar 2'
)
],
layout=go.Layout(
title='The Title',
showlegend=True,
legend=go.layout.Legend(
x=0,
y=1.0
),
margin=go.layout.Margin(l=40, r=40, t=40, b=110)
)
)
return figure
I need help to plot the results in 2 bar graphs (with different colours). The resulting figure needs to have grid lines.
How to output a nice plot?
The data is as follows:
x-axis is speed from 2 to 50 and the increment is 2.
A = [2.2214523, 1.81357174, 1.61390754, 1.47970432, 1.29658232, 1.26972206, 1.16870602, 1.17688473, 1.30224695, 1.23878984, 1.18680971, 1.26357444, 1.14138904, 0.95115584, 1.16134491, 1.021687, 0.98920929, 1.04342079, 0.99826255, 0.8655728, 0.91652594, 0.85538917, 0.78884521, 0.91927867, 0.86419587]
B = [187.579709, 25.312399, 11.3572375, 9.3078819, 8.37157321, 7.66729673, 7.36497776, 6.96170053, 6.69527653, 6.77668306, 6.19491326, 6.01744432, 5.61383228, 5.59616954, 5.26652168, 5.26946343, 5.19543014, 5.11049461, 5.05088231, 4.917285, 4.9581181, 4.78929521, 4.772158, 4.7373291, 4.81629734]
Do you know how to plot a Gantt chart in Matlab without using a third-party software?
At the end I would love to obtain something like this:
What I was able to obtain so far is
using this code:
% Create data for childhood disease cases
measles = [38556 24472 14556 18060 19549 8122 28541 7880 3283 4135 7953 1884]';
mumps = [20178 23536 34561 37395 36072 32237 18597 9408 6005 6268 8963 13882]';
chickenPox = [37140 32169 37533 39103 33244 23269 16737 5411 3435 6052 12825 23332]';
% Create a stacked bar chart using the bar function
fig = figure;
bar(1:12, [measles mumps chickenPox], 0.5, 'stack');
axis([0 13 0 100000]);
title('Childhood diseases by month');
xlabel('Month');
ylabel('Cases (in thousands)');
legend('Measles', 'Mumps', 'Chicken pox');
That is not what I want but, maybe, goes in this direction
Here, I share the solution I have just found (maybe it is not the most elegant one but it works for the purpose I have):
[the main idea is to draw a bar and "delete" the beginning overdrawing up on it another white bar]
Let's say you have two vector:
start =[6907402; 2282194; 4579536; 2300332; 10540; 2307970; 4603492; 0];
stop =[9178344; 9168694;6895050; 4571400; 2280886; 4579044; 6897152 ;2271186];
There are 8 elements in each: every element is a task. In the start array, there is the start time of each task and in stop there is the end of the "execution" of a given task.
barh(stop)
hold on
barh(start,'w')
At the end here you have the Gantt:
UPDATE:
My scripts are evolved of course and, more, on the matlab website, there is more information. Here 2 example more to complete the answer:
Option 1:
Positions=[1,2,3,4];
Gap_Duration=[0,2,5,3,5,3;
3,5,3,5,3,4;
9,3,0,0,12,2;
13,2,2,2,8,3];
barh(Positions,Gap_Duration,'stacked');
Option 2:
Positions=[1,2,3,4];
Gap_Duration=[0,2,5,3,5,3;
3,5,3,5,3,4;
9,3,0,0,12,2;
13,2,2,2,8,3];
barh(Positions,Gap_Duration,'stacked');
set(H([1 3 5]),'Visible','off')
I have everything going swimmingly on my pie chart and 3D pie charts within MATLAB for a dataset, however, I noticed that even though I have 21 pieces of data for this pie-chart being fed into the pie-chart call, only 17 appear.
PieChartNums = [ Facebook_count, Google_count, YouTube_count, ThePirateBay_count, StackOverflow_count, SourceForge_count, PythonOrg_count, Reddit_count, KUmail_count, Imgur_count, WOWhead_count, BattleNet_count, Gmail_count, Wired_count, Amazon_count, Twitter_count, IMDB_count, SoundCloud_count, LinkedIn_count, APOD_count, PhysOrg_count];
labels = {'Facebook','Google','YouTube','ThePirateBay','StackOverflow', 'SourceForge', 'Python.org', 'Reddit', 'KU-Email', 'Imgur', 'WOWhead', 'BattleNet', 'Gmail', 'Wired', 'Amazon', 'Twitter', 'IMDB', 'SoundCloud', 'LinkedIn', 'APOD', 'PhysOrg'};
pie3(PieChartNums)
legend(labels,'Location','eastoutside','Orientation','vertical')
This goes for the labels and the physical graph itself.
Excuse the poor formatting in terms of the percentage cluster, this is just a rough version. I tried every orientation and even splitting labels between the orientations without any luck.
Quasi-better resolution for Pie Chart -- Imgur Link
Like Daniel said - it appears that there simply isn't any non-negative data for the missing slices. I tried reproducing your problem with the following initialization, yet it resulted in normal-looking chart:
[ Facebook_count, Google_count, YouTube_count, ThePirateBay_count, ...
StackOverflow_count, SourceForge_count, PythonOrg_count, Reddit_count, ...
KUmail_count, Imgur_count, WOWhead_count, BattleNet_count, Gmail_count, ...
Wired_count, Amazon_count, Twitter_count, IMDB_count, SoundCloud_count, ...
LinkedIn_count, APOD_count, PhysOrg_count] = deal(0.04);
In order to verify this hypothesis - could you provide the data you're using for the chart? Do you get any warnings when plotting the chart?
From inside the code of pie.m:
if any(nonpositive)
warning(message('MATLAB:pie:NonPositiveData'));
x(nonpositive) = [];
end
and:
for i=1:length(x)
if x(i)<.01,
txtlabels{i} = '< 1%';
else
txtlabels{i} = sprintf('%d%%',round(x(i)*100));
end
end
You can see that MATLAB doesn't delete valid slices, but only renames them if the data values are small.