Python program to implement multiple plots in one figure# Data Visualization using Python # Dot Plot import matplotlib.pyplot as plt # plotting using plt.pyplot() plt.plot([1,2,3,4,5],[1,8,9,12,13],'o',[1,2,3,4,5],[4,6,1,8,9],'o') # axis labeling plt.xlabel('numbers...
[<matplotlib.lines.Line2Dat0x7f716d9a3be0>] Generating multiple plots in one figure with subplots fig = plt.figure() fig,(ax1, ax2) = plt.subplots(1,2) ax1.plot(x) ax2.plot(x,y) [<matplotlib.lines.Line2D at0x7f716d873f98>]<Figure size360x288with0Axes>...
One significant difference here, is that there are now multiple axes objects. There is only one figure object, because are plotting within a single window. But since there are two graphs, there are two axes objects. Even more Plots in Matplotlib! Lets do another example with even more plots...
fig=plt.figure(figsize=(6,4))title=fig.suptitle("Sulphates Content in Wine",fontsize=14)fig.subplots_adjust(top=0.85,wspace=0.3)ax=fig.add_subplot(1,1,1)ax.set_xlabel("Sulphates")ax.set_ylabel("Frequency")ax.text(1.2,800,r'$\mu$='+str(round(wines['sulphates'].mean(),2)),fo...
Multiple plots in same figure (Interactive) [back to section overview] #Note the use of plot parameter aliases and the figsize parameter eplot = EasyPlot(x, x**2, label=r"$y = x^2$", figsize=(8,4), showlegend=True, ncol=2, ms=10, ls=':', markeredgewidth=1.5, xlabel='x', ...
importpyreadstatimportpandasaspdimportmatplotlib.pyplotaspltimportseabornassnsimportscienceplotsplt.style.use('science')plt.style.use('no-latex')importwarningswarnings.filterwarnings('ignore')importosos.chdir('C:/Download/1-s2.0-S0140988324000604-mmc1')data,meta=pyreadstat.read_dta('data/rst_tfp.dta...
fig = plt.figure()ax = fig.add_subplot(111, projection='3d')ax.scatter(x, y, z)ax.set_xlabel('X')ax.set_ylabel('Y')ax.set_zlabel('Z')ax.set_title('3D Scatter Plot')plt.show() # Call this last to ensure the plot is displayed in the notebook cell output area (if using ...
test_splitfromsklearnimportmetricsfromsklearn.metricsimportaccuracy_score,roc_curve,aucfromxgboostimportXGBClassifier,plot_importanceimportwarningsimporteli5importshapfromeli5.sklearnimportPermutationImportance#from pdpbox import pdp, get_dataset, info_plots#from sklearn.tree import DecisionTreeClassifierwarnings....
Multiple Axes¶ Low-level API for creating a figure with multiple axesIn [4]: import plotly.graph_objects as go fig = go.Figure() fig.add_trace(go.Scatter( x=[1, 2, 3], y=[4, 5, 6], name="yaxis1 data" )) fig.add_trace(go.Scatter( x=[2, 3, 4], y=[40, 50, 60...
fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.plot_surface(X, Y, rv.pdf(pos), cmap="plasma") plt.show() Output: Plot two different 3D distributions We can add two different 3D plots to the same figure, with the help of thefig.add_subplotmethod. ...