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I am trying to do EDA with the Kaggle dataset link
I made a plot with 3 subplots and have plotted 3 vertical lines on the basis of mean, median and mode. is there any way to show these 3 lines in a legend?
This is my code
def plott(data):
fig, axes = plt.subplots(3, sharex=True, figsize=(15, 15),gridspec_kw={"height_ratios": (1, 0.2, 0.6)})
fig.suptitle('Spread of Data for ' + data.name, fontsize=20, fontweight='bold')
sns.histplot(data, kde=True, binwidth=1, ax=axes[0])
sns.boxplot(x=data, orient='h', ax=axes[1])
sns.violinplot(x=data, ax=axes[2])
axes[0].set_xlabel('')
axes[1].set_xlabel('')
axes[2].set_xlabel('')
axes[0].axvline(data.mean(), color='r', linewidth=2, linestyle='solid')
axes[0].axvline(data.median(), color='r', linewidth=2, linestyle='dashed')
axes[0].axvline(data.mode()[0], color='r', linewidth=2, linestyle='dotted')
axes[1].axvline(data.mean(), color='r', linewidth=2, linestyle='solid')
axes[1].axvline(data.median(), color='r', linewidth=2, linestyle='dashed')
axes[1].axvline(data.mode()[0], color='r', linewidth=2, linestyle='dotted')
axes[2].axvline(data.mean(), color='r', linewidth=2, linestyle='solid')
axes[2].axvline(data.median(), color='r', linewidth=2, linestyle='dashed')
axes[2].axvline(data.mode()[0], color='r', linewidth=2, linestyle='dotted')
axes[0].tick_params(axis='both', which='both', labelsize=10, labelbottom=True)
axes[1].tick_params(axis='both', which='both', labelsize=10, labelbottom=True)
axes[2].tick_params(axis='both', which='both', labelsize=10, labelbottom=True)
plott(df['Age'])
This is the resulting plot
Is there a way to add the legend in here in accordance to the 3 vertical lines
like this with each line type denoting the value?
Also, how to add more values in x axis of all three graphs?
like make it interval of 5 or 2 years apart?
Thanks
Give the axvlines a "label" value, then call plt.legend after plotting it.
Example:
import matplotlib.pyplot as plt
plt.plot([1,2,3],[1,2,3],label="Test")
plt.axvline(x=0.22058956, label="Test2", color="red")
plt.legend()
Output:
hello im ussing fb prophet and changing old white layout for a better experience, i manage to change background and line colors in 'plot.py' , but cant change black scatters as seen on pic.
allready make a search but dont find a way
how can i change it?
if ax is None:
fig = plt.figure(facecolor='w', figsize=figsize)
ax = fig.add_subplot(111)
else:
fig = ax.get_figure()
fcst_t = fcst['ds'].dt.to_pydatetime()
ax.plot(m.history['ds'].dt.to_pydatetime(), m.history['y'], 'k.')
ax.plot(fcst_t, fcst['yhat'], ls='-', c='#0072B2')
if 'cap' in fcst and plot_cap:
ax.plot(fcst_t, fcst['cap'], ls='--', c='k')
if m.logistic_floor and 'floor' in fcst and plot_cap:
ax.plot(fcst_t, fcst['floor'], ls='--', c='k')
if uncertainty and m.uncertainty_samples:
ax.fill_between(fcst_t, fcst['yhat_lower'], fcst['yhat_upper'],
color='#ffffff', alpha=0.2)
# Specify formatting to workaround matplotlib issue #12925
locator = AutoDateLocator(interval_multiples=False)
formatter = AutoDateFormatter(locator)
ax.xaxis.set_major_locator(locator)
ax.xaxis.set_major_formatter(formatter)
ax.grid(True, which='major', c='white', ls='-', lw=1, alpha=0.2)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
fig.tight_layout()
return fig
my plot
My x-axis minor gridlines are not showing, this is my code
ax = plt.gca()
ax.minorticks_on()
plt.semilogx(data_x1,data_y1,"red")
plt.semilogx(data_x2,data_y2,"blue")
ax.grid(b=True, which='major',axis="both", color='k', linestyle='-', linewidth=0.5)
ax.grid(b=True, which='minor',axis="both", color='k', linestyle='-', linewidth=0.2)
plt.xlabel("frequency(Hz)")
plt.ylabel("Iramp(dB)")
plt.show()
enter image description here
Either I'm not sure of what you want, or your code is actually working correctly. The minor grid lines are those between the powers of 10. I made a little example to show a comparison of your plot with the minor grid lines on and off.
import numpy as np
import matplotlib.pyplot as plt
data_x1 = np.linspace(0,2,10)
data_x2 = np.linspace(0,4,10)
data_y1 = np.random.rand(10)
data_y2 = np.random.rand(10)
fig, axall =plt.subplots(1,2, figsize=(10,5))
# your code with some changes
ax = axall[0]
ax.minorticks_on()
ax.semilogx(data_x1,data_y1,"red")
ax.semilogx(data_x2,data_y2,"blue")
ax.grid(b=True, which='major',axis="both", color='k', linestyle='-', linewidth=0.5)
ax.grid(b=True, which='minor',axis="both", color='k', linestyle='-', linewidth=0.2)
ax.set_xlabel("frequency(Hz)")
ax.set_ylabel("Iramp(dB)")
# code to make the plot on the right.
ax = axall[1]
ax.minorticks_on()
ax.semilogx(data_x1,data_y1,"red")
ax.semilogx(data_x2,data_y2,"blue")
ax.grid(b=True, which='major',axis="both", color='k', linestyle='-', linewidth=0.5)
# ax.grid(b=True, which='minor',axis="both", color='k', linestyle='-', linewidth=0.2)
ax.set_xlabel("frequency(Hz)")
ax.set_ylabel("Iramp(dB)")
plt.show()
Note how I commented out your minor grid lines.
I'm trying to create a parallelogram in PyPlot. I'm not up to drawing the parallelogram--first I'm putting in the vector arrows--using the following code:
fig = plt.figure()
ax = fig.add_subplot(111)
ax.spines['left'].set_position('zero')
ax.spines['right'].set_color('none')
ax.spines['bottom'].set_position('zero')
ax.spines['top'].set_color('none')
plt.axis([-5,5,-5,5])
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
plt.grid()
plt.arrow(0,0, 3,1, head_width=0.2, color='r', length_includes_head=True, label='u')
plt.arrow(0,0, 1,3, head_width=0.2, color='r', length_includes_head=True, label='v')
plt.arrow(0,0, 4,4, head_width=0.2, color='r', length_includes_head=True, label='u+v')
plt.legend()
This returns the following error:
No handles with labels found to put in legend.
I'm not sure why, because, based on the documentation for plt.arrow(), label is an acceptable kwarg, and plt.legend() should ostensibly be reading that. The rest of the figure draws fine; it's just missing the legend.
It might be late but for anyone with the same issue the solution is using the method legend() for the corresponding ax not as for plt
fig = plt.figure()
ax = fig.add_subplot(111)
ax.spines['left'].set_position('zero')
ax.spines['right'].set_color('none')
ax.spines['bottom'].set_position('zero')
ax.spines['top'].set_color('none')
plt.axis([-5,5,-5,5])
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
plt.grid()
plt.arrow(0,0, 3,1, head_width=0.2, color='r', length_includes_head=True, label='u')
plt.arrow(0,0, 1,3, head_width=0.2, color='r', length_includes_head=True, label='v')
plt.arrow(0,0, 4,4, head_width=0.2, color='r', length_includes_head=True, label='u+v')
ax.legend()
You can explicitly define the elements in the legend.
For full control of which artists have a legend entry, it is possible to pass an iterable of legend artists followed by an iterable of legend labels respectively. Reference
Example:
arr1 = plt.arrow(0,0, 3,1, head_width=0.2, color='r', length_includes_head=True)
arr2 = plt.arrow(0,0, 1,3, head_width=0.2, color='g', length_includes_head=True)
arr3 = plt.arrow(0,0, 4,4, head_width=0.2, color='b', length_includes_head=True)
plt.xlim(0,5)
plt.ylim(0,5)
plt.legend([arr1, arr2, arr3], ['u','v','u+v'])
The error is thrown because you haven't specified the label text
Either do something like this
plt.hist([x01, x02,x03], color=["lightcoral","lightskyblue","slategrey"], stacked=True,
label=['Supressed','Active','Resolved'])
plt.legend()
Or
Do not use plt.legend() if you haven't specified the label text as in the following WRONG example:
plt.hist([x01])
plt.legend()
The above will throw the same error, so either remove legend function or provide what it needs -> label.
Side note: Here x01 is just a list of number for which I am creating a histogram, in the first example they are three list of numbers to create stacked bar chart
The bottom line is this error is thrown because of not specifying legend text and calling/initializing a legend
I had this error when using labels which started with an underscore
plt.plot(x, y, label = '_bad_name')
Removing the front underscore from the labels solved the issue
Assuming you have 2 plots ax and ax2, we can:
get the labels from each y-axis via ax.get_label()
.legend allows an array to be ingested
fig.legend([ax.get_ylabel(), ax2.get_ylabel()], loc='upper right')
I had this same issue and solved it with an understanding that .legend() function has to be after all the instructions that deal with the label attribute. This includes both plt and ax.
So moving ax.legend(*) as the last command.
I hope this helps you too.
Change
ax.plot(-trip_df.stop_lat, -trip_df.stop_lon, label = trip_id)
plt.legend()
to
ax.plot(-trip_df.stop_lat, -trip_df.stop_lon, label = trip_id)
ax.legend()
plt.legend()
I face similar problem like No handles with labels found to put in legend.
First My code look like
figure, axis = pyplot.subplots(nrows=1,ncols=2, figsize=(15, 6), tight_layout=True)
axis[0].legend(title='Country', title_fontsize = 12) #this line
axis[0].pie(x=piechart_result['value_eur'],labels=piechart_result['short_name'])
axis[1].pie(x=piechart_result['value_eur'],labels=piechart_result['short_name')
pyplot.show()
Then I changed to
figure, axis = pyplot.subplots(nrows=1,ncols=2, figsize=(15, 6), tight_layout=True)
axis[0].pie(x=piechart_result['value_eur'],labels=piechart_result['short_name'])
axis[0].legend(title='Country', title_fontsize = 12) # this line
axis[1].pie(x=piechart_result['value_eur'],labels=piechart_result['short_name')
pyplot.show()
this work for me in colab notebook
I have a 16 subplots and want to include following in each subplot:
ax1.axvline(x=0.5, ymin=0.0, ymax=1.0, color='k', linestyle='--', alpha=0.3)
ax1.axhline(y=0.5, xmin=0.0, xmax=1.0, color='k', linestyle='--', alpha=0.3)
Running a loop to have them for all subplots seems more feasible rather to have 32 lines, but simple string concatenation isn't working such as
for i in xrange(1,17,1):
# then try to use i for each ax -- this isn't practical
Any suggestions?
You kinda got everything written already...
from matplotlib import pyplot as plt
f, ax = plt.subplots(17)
for i in range(17):
ax[i].axvline(x=0.5, ymin=0.0, ymax=1.0, color='k', linestyle='--', alpha=0.3)
ax[i].axhline(y=0.5, xmin=0.0, xmax=1.0, color='k', linestyle='--', alpha=0.3)