I've coded two lines that show two y-axis (coffee and tea) and one x-axis(year). And it's all good, I need some tweaking with the headers. however I can't fix the legends. They either get separated or i can see one but not the other. What am I doing wrong?
my code:
fig, ax1 = plt.subplots()
ax2 = ax1.twinx()
ax1.plot(year, coffee, 'b-')
ax1.set_ylabel("Coffee") ax1.grid()
ax2.plot(year, tea, 'r--')
ax1.set_ylim(6, 12)
ax2.set_ylim(0.1, 0.5)
ax1.legend(["Coffee"], loc=(0.8, 0.9))
ax2.legend(["Tea"], loc=(0.8, 0.8))
ax1.set_facecolor((1.0, 0.8, 0.6))
plt.show()
Related
The violin plots I am making with Matplotlib have one of the plot intersecting with ytick label. See the picture below:
The code I am using as follow:
alp = 1
fig, axes = plt.subplots(nrows=10, ncols=1, figsize=(8, 6), dpi=100)#, sharex=True)
for i,t in enumerate(top_features):
# print(i)
alp = alp - 0.08
parts = axes[i].violinplot(data[i], vert=False, widths=0.9,
showmeans=True, showextrema=True, showmedians=False,
bw_method='scott')#, points=200)
for pc in parts['bodies']:
pc.set_facecolor('#D43F3A')
pc.set_edgecolor('black')
pc.set_alpha(alp)
axes[i].set_ylabel('{:.3f}'.format(top_features[i]), rotation=0)
# axes[i].axis('off')
axes[i].set_xlim(-0.0010, 0.0030)
axes[i].spines['top'].set_visible(False)
axes[i].spines['right'].set_visible(False)
axes[i].spines['bottom'].set_visible(False)
axes[i].spines['left'].set_visible(False)
for i, ax in enumerate(axes):
if i !=9:
ax.set_xticks([])
ax.set_yticks([])
fig.tight_layout()
fig.subplots_adjust(left=0.01,right= 1.1, hspace=0.14, wspace=0.3)
ax.set_yticklabels(top_features)
How can move the figure to the right with the shared X-axis ticks and all the other violinplots?
That moment when you find an answer to your own question! -_-
axes[i].set_ylabel('{:.3f}'.format(top_features[i]), rotation=0, labelpad=30)
Adjusting the labelpad value solves!
Thanks all!
I am trying to make two subplots as a row in matplot lib.
Here is my code
fig, (ax1, ax2) = plt.subplots(1,2)
ax1 = plt.bar(x="Topic", height='perc', data=df1)
ax2 = plt.bar(x="Topic", height='perc', data=df2)
What is happening is that the barplots overlap eachother and leave col1 empty.
How can I fix this
The following code is for generating the 3 subplots. And on all the 3 subplots scale is mentioned. I want to stack them in such a way that x-axis and y-axis scale appear once like this. Can I get this plot with plt.subplot() or fig.add_axes is compulsory for this? I actually want to do this with subplots because in fig.add_subplot I havve to specify the width and height of each plot that I don't want.
`fig,axes = plt.figure(nrow=3, ncolmn=1)
ax1 = fig.add_subplot(311)
ax2 = fig.add_subplot(312)
ax3 = fig.add_subplot(313)
ind1 =[1,2,3]
ind2 = [4,5,6]
for i in range(len(3)):
data1=np.load(..)
data2=np.load(..)
axes[i].plot(data1, data2)`
Here is one solution using subplots_adjust where you put the space between two plots to 0 using hspace. Also, use sharex=True to have a shared x-axis
fig, axes = plt.subplots(nrows=3, ncols=1,sharex=True)
x = np.linspace(0, 2*np.pi, 100)
y = np.sin(x)
for i, ax in enumerate(axes.ravel()): # or axes.flatten() or axes.flat
ax.plot(x, y, label='File %d' %i)
ax.legend()
fig.text(0.5, 0.01, 'X-label', ha='center')
fig.text(0.01, 0.5, 'Y-label', va='center', rotation='vertical')
plt.tight_layout() # To get a better spacing between the subplots
plt.subplots_adjust(hspace=.0)
I want to completely remove white space around my axes during active plot (not save_fig as others asked).
Here we cannot use bbox_inches='tight'. I can use tight_layout(pad=0).
When axis is on, it works fine, it shows all the ticks and x-y labels.
However, in some cases, I set the axis off. What I expected is to see the contents expand to fill up the empty space where the axes are. However, this does not work. It still keep the padding as there are still x-y labels and axes.
How can I remove the white space of invisible axes objects?
edit:
I am aware that I can use ax.set_yticks([]) and ax.set_xticks([]) to turn those off. But this is clumsy, I have to remember the the ticks before I clear them. And if I remove-then-add those ticks. The ticks cannot automatically update any more.
I wonder is there any more straightforward way to do this?
We can still see there is a small border spacing even after removing all ticks. If someone can come up a way to remove that too. It will be fantastic.
I would also like to keep the title if there is one. Thus the hard-coded ax.set_position([0,0,1,x]) is not very good for this usage. Surely we can still try to get the top spacing when there is a title, but if someone can provide a more direct/simple way to handle this, it will be preferred.
Example code:
def demo_tight_layout(w=10, h=6, axisoff=False, removeticks=False):
fig,ax = plt.subplots()
fig.set_facecolor((0.8, 0.8, 0.8))
rect = patches.Rectangle((-w/2, -h/2), w, h, color='#00ffff', alpha=0.5)
ax.add_patch(rect)
ax.plot([-w/2,w/2], [-h/2,h/2])
ax.plot([-w/2,w/2], [h/2,-h/2])
ax.set_ylabel("ylabel")
ax.margins(0)
_texts = []
if axisoff:
ax.set_axis_off()
_texts.append("axisoff")
if removeticks:
ax.set_xticks([])
ax.set_yticks([])
ax.set_ylabel("")
_texts.append("removeticks")
fig.text(0.5, 0.6, " ".join(_texts))
fig.tight_layout(pad=0)
plt.show()
return fig, ax, text
You may adjust the subplot parameters depending on whether you turned the axis off or not.
import matplotlib.pyplot as plt
from matplotlib import patches
def demo_tight_layout(w=10, h=6, axisoff=False):
fig,ax = plt.subplots()
fig.set_facecolor((0.8, 0.8, 0.8))
rect = patches.Rectangle((-w/2, -h/2), w, h, color='#00ffff', alpha=0.5)
ax.add_patch(rect)
ax.plot([-w/2,w/2], [-h/2,h/2])
ax.plot([-w/2,w/2], [h/2,-h/2])
ax.set_ylabel("ylabel")
ax.margins(0)
_texts = []
fig.tight_layout()
if axisoff:
ax.set_axis_off()
_texts.append("axisoff")
params = dict(bottom=0, left=0, right=1)
if ax.get_title() == "":
params.update(top=1)
fig.subplots_adjust(**params)
fig.text(0.5, 0.6, " ".join(_texts))
plt.show()
Now demo_tight_layout(axisoff=True) produces
and demo_tight_layout(axisoff=False) produces
You need to set the axes position to fill the figure. If you create your figure and plot with
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.gca()
ax.plot(some_x_data, some_y_data)
you need to add the following line to fill the figure with the axes:
ax.set_position([0, 0, 1, 1], which='both')
This sets the axes location relative to the figure size in the following way:
[left, bottom, width, height]
So to completely fill the figure use [0, 0, 1, 1] as shown above.
So taking your code, it should look like this (using fill_figure bool to check):
def demo_tight_layout(w=10, h=6, axisoff=False, removeticks=False, fill_figure=False):
fig,ax = plt.subplots()
fig.set_facecolor((0.8, 0.8, 0.8))
rect = patches.Rectangle((-w/2, -h/2), w, h, color='#00ffff', alpha=0.5)
ax.add_patch(rect)
ax.plot([-w/2,w/2], [-h/2,h/2])
ax.plot([-w/2,w/2], [h/2,-h/2])
ax.set_ylabel("ylabel")
ax.margins(0)
_texts = []
if axisoff:
ax.set_axis_off()
_texts.append("axisoff")
if removeticks:
ax.set_xticks([])
ax.set_yticks([])
ax.set_ylabel("")
_texts.append("removeticks")
fig.text(0.5, 0.6, " ".join(_texts))
fig.tight_layout(pad=0)
if fill_figure:
ax.set_position([0, 0, 1, 1], which='both')
plt.show()
return fig, ax, text
ax.set_position needs to be after fig.tight_layout.
If a figure title is needed, there is no direct way to do it. This unluckily can't be avoided. You need to adapt the height parameters manually so that the title fits in the figure, for example with:
ax.set_position([0, 0, 1, .9], which='both')
Inside a loop I am calculating some things and then I want to plot them in two different figures. I have set up the figures as
susc_comp, (ax1,ax2) = plt.subplots( 2, 1, sharex=True, sharey='none', figsize=(8.3,11.7))
cole_cole, (ax3) = plt.subplots( 1, 1, sharex='none', sharey='none', figsize=(8.3,11.7))
for j,temp in enumerate(indexes_T[i]):
Calculate and plot in the corresponding ax1,ax2,ax3
plt.legend(loc=0, fontsize='small', numpoints = 1, ncol=(len(indexes_T[i]))/2, frameon=False)
susc_comp.savefig('suscp_components'+str(field)+'Oe.png', dpi=300)
cole_cole.savefig('Cole_Cole'+str(field)+'Oe.png', dpi=300)
But I get the legend only in the sus_comp figure (it is the same legend for both figures). How can I select the figure and add the legend to each of them?
Thank you very much!
You can call figure.legend directly (although I think this may have less functionality than plt.legend). Therefore, I would do this a different way.
The question states that both legends are the same. In addition, the second figure only has 1 axes in it. Therefore one solution would be to get the handles and labels from ax3, then manually apply those to both figures. A simplified example is below:
import matplotlib.pyplot as plt
susc_comp, (ax1, ax2) = plt.subplots(1,2)
cole_cole, ax3 = plt.subplots()
ax1.plot([1,2,3], label="Test1")
ax2.plot([3,2,1], label="Test2")
ax3.plot([1,2,3], label="Test1")
ax3.plot([3,2,1], label="Test2")
handles, labels = ax3.get_legend_handles_labels()
ax2.legend(handles, labels, loc=1, fontsize='small', numpoints = 1)
ax3.legend(handles, labels, loc=1, fontsize='small', numpoints = 1)
plt.show()
This gives the following 2 figures: