Python program for adding legend to a plot # Data Visualization using Python# Adding a Legendimportnumpyasnpimportmatplotlib.pyplotasplt x=np.linspace(0,2,100)# Example 1plt.figure()plt.plot(x,x+2,label='linear')plt.plot(x,x**2,label='quadratic')plt.plot(x,x**3,label='cubic')plt...
Python | Adding legend to a Plot Python | Antialiasing in Plotting Python | Categorical Plotting Python | Controlling the Line Width of a Graph Plot in Matplotlib Change Plot Size in Matplotlib with plt.figsize() Python | Horizontal Bar Graph ...
6 months ago. Modified 6 years, 6 months ago. Viewed 394 times 1 I want to connect a QPushButton in my QMainWindow with a class that i created using Matplotlib so i can show a grid when i push the button
Figure 2.4: A plot with axes labels, a title, and a legend produced using Matplotlib How it works... Theset_title,set_xlabel, andset_ylabelmethods simply add the text argument to the corresponding position of theAxesobject. Thelegendmethod, as called in the preceding code, adds the labels...
});// remove legend when layer is added @@ -697,13 +765,18 @@ window.onload = function () { pm_heatmap_checkbox.style.pointerEvents = "auto"; pm_heatmap_checkbox.style.opacity = 1; }else if (eventLayer.layer.options.name === "heatmap_pm") { ...
frommatplotlibimportpyplot frompandasimportDataFrame # generate 2d classification dataset X,y=make_circles(n_samples=100,noise=0.1,random_state=1) # scatter plot, dots colored by class value df=DataFrame(dict(x=X[:,0],y=X[:,1],label=y)) ...
insertLegend(Qwt.QwtLegend(), Qwt.QwtPlot.RightLegend) else: self.plot.insertLegend(None) self.plot.replot() def on_about(self): msg = __doc__ QMessageBox.about(self, "About the demo", msg.strip()) def fill_series_list(self, names): self.series_list_model.clear() for name in ...
(ind+width,women_means,width,color='y',yerr=women_std)# add some text for labels, title and axes ticksax.set_ylabel('Scores')ax.set_title('Scores by group and gender')ax.set_xticks(ind+width/2)ax.set_xticklabels(('G1','G2','G3','G4','G5'))ax.legend((rects1[0],rect...
import matplotlib.pyplot as plt import seaborn as sns train, test = load_text_csv() data_chng_train, data_chng_test = load_ts_csv() # train_text, test_text = transform_text2sentences(train, test) train_text = cPickle.load(open('train_text.p', 'rb'))[1:] test_text = cPickle...