Here's my problem, I'm making charts with the windows.forms.datavisualisation.charting library in a vb.net program.
I want my charts' X axis to always be the same length (pixel wise) because I'm lining them up vertically. The charts all have the same width and the X axis values are always the same (hours from 0 to 24).
The thing is the Y labels are not all in the same format. Some are integer representing a mass, some are percentage... Which makes the strings in each Y axis labels of different length
For example:
Chart1 Y axis labels: 0, 1 000 000, 2000 000, ..., 10 000 000...;
Chart2 Y axis: 2.33%, 3.45%...
They all have the same font and I would like to keep it like that if possible, but the length of the X axis is more important.
Any ideas? The following charts should help to explain:
First chart
Second Chart
Related
I cannot work out how to apply a specific y axis range to my violin plot
current code is :
library(ggplot2)
X21$`gggnnn`<-as.factor(X21$`gggnnn`)
X21$`RTtype`<-as.factor(X21$`RTtype`)
bp<-ggplot(data=X21,aes(x=RTtype,y=RT,group=RTtype))+
geom_violin(aes(colour=RTtype),outlier.alpha = 1)+
facet_grid(.~gggnnn) +
labs(x="AM or PM", y='Reaction time /ms')+
geom_boxplot(width=0.1,colour="black",alpha=1,outlier.shape=4)+
ggtitle("AM and PM Reaction Time Distributions among Gamers and Non-gamers")+
geom_jitter(data=X21,aes(x=RTtype,y=RT,group=RTtype, colour=RTtype,shape=gggnnn))+
bp
this gives the plot as shown:
[1]:https://i.stack.imgur.com/3Aggm.png
I then tried to set y axis limits with adding a '+ylim(150,900)' , however this just truncated my data:
[2]:https://i.stack.imgur.com/kDiRs.png
I now see that this is a limit on the range of the data, not the values on the axis (i am looking for the y axis to go from 150 to 900, also i do not know how to change the y axis grid spacing, as it is currently in intervals of 250, which is harder to interperit, i would like to set this to 100.
I attempted to do this with '+scale_y_continuous(breaks = seq(150,900, by = 100))', However it had no effect on the plot
Any help would be much appreciated
datasheet format:
[3]: https://i.stack.imgur.com/iXKXF.png
in order to set y coordinate limits use
coord_cartesian(ylim = c(100,900))
generalised this is:
coordinates_cartesian(xlim = c(lower limit,upper limit), ylim( c =(lower,upper)
in order to set spacing use
scale_y_continuous(breaks = seq(100, 900, by = 200))
I am plotting a plot of Accuracy versus the var_smoothing curve of 4 different instances. My values are:
var_smoothing_values
>>
[1e-09, 1e-06, 0.001, 1]
gauss_accuracies
>>
[0.728, 0.8, 0.826, 0.832]
I have used the 2 subplots and on the second subplot, I am plotting this as:
f,ax = plt.subplots(1,2,figsize=(15,5))
ax[1].plot(var_smoothing_values,gauss_accuracies,marker='*',markersize=12)
ax[1].set_ylabel('Accuracy')
ax[1].set_xlabel('var_smoothing values')
ax[1].set_title('Accuracy vs var_smoothing | GaussianNB',size='large')
plt.show()
ax[1].set_xticks(var_smoothing_values) shows only 3 ticks.
How can I show only 4 ticks which corresponds to each of my var_smoothing_values??
You need to use the log scale on the x-axis since your x-values span acoss several orders of magnitude
ax[1].set_xscale('log')
ax[1].set_xticks(var_smoothing_values);
I wish to create a sub plot that looks like the following picture,
it is supposed to contain 25 polar histograms, and I wish to add them to the plot one by one.
needs to be in python.
I already figured I need to use matplotlib but can't seem to figure it out completely.
thanks a lot!
You can create a grid of polar axes via projection='polar'.
hist creates a histogram, also when working with polar axes. Note that the x is in radians with a range of 2π. It works best when you give the bins explicitly as a linspace from 0 to 2π (or from -π to π, depending on the data). The third parameter of linspace should be one more than the number of bars that you'd want for the full circle.
About the exact parameters of axs[i][j].hist(x, bins=np.linspace(0, 2 * np.pi, np.random.randint(7, 30), endpoint=True), color='dodgerblue', ec='black'):
axs[i][j] draw on the jth subplot of the ith line
.hist create a histogram
x: the values that are put into bins
bins=: to enter the bins (either a fixed number between lowest and highest x or some explicit boundaries; default is 10 fixed boundaries)
np.random.randint(7, 30) a random whole number between 7 and 29
np.linspace(0, 2 * np.pi, n, endpoint=True) divide the range between 0 and 2π into n equal parts; endpoint=True makes boundaries at 0, at 2π and at n-2 positions in between; when endpoint=False there will be a boundary at 0, at n-1 positions in between but none at the end
color='dodgerblue': the color of the histogram bars will be blueish
ec='black': the edge color of the bars will be black
import numpy as np
import matplotlib.pyplot as plt
fig, axs = plt.subplots(5, 5, figsize=(8, 8),
subplot_kw=dict(projection='polar'))
for i in range(5):
for j in range(5):
x = np.random.uniform(0, 2 * np.pi, 50)
axs[i][j].hist(x, bins=np.linspace(0, 2 * np.pi, np.random.randint(7, 30)), color='dodgerblue', ec='black')
plt.tight_layout()
plt.show()
I'd like to know how to find the value of the X axis, where the X and Y axes cross. The result is to be displayed in a cell. VB is optional.
Example
Where the arrow points is the value I would like to get.
From where the 60 in the Y axis crosses the points, I'd like to get the Y axis.
I am creating charts with origin(100,0) i.e, x axis value=100. At first I used,
ActiveChart.Axes(xlValue).MajorUnit = 10
and I got the x axis ... 70,80,90,100,110,120,130....etc
I thought it would be better if I had axis values as ...60,80,100,120,140... etc. So I edited my code as follows,
ActiveChart.Axes(xlValue).MajorUnit = 20
But now I am getting ...70,90,110,130... etc.
How can I get my x axis as ...60,80,100,120,140...?