%load_ext watermark

%watermark -u -v -d -p matplotlib,numpy,scipy

%matplotlib inline

importmatplotlib.pyplotaspltdeferrorbar_default():# Datadata=[1,1.5,1.2]std_devs=[0.15,0.25,0.12]# X axis positionsx_pos=range(len(data))ford,std,xinzip(data,std_devs,x_pos):plt.errorbar(x=x,y=d,yerr=std,fmt='o')# setting axis limitsplt.xlim([min(x_pos)-1,max(x_pos)+1])plt.ylim([min(data)*0.7,max(data)*1.3])# setting labels and titlesplt.ylabel('x label')plt.title('Matplotlib default')plt.legend(['X1','X2','X3'],loc='upper right')plt.show()

importnumpyasnpdeferrorbar_modified():# Datadata=[1,1.5,1.2]std_devs=[0.15,0.25,0.12]# X axis positionsx_pos=range(len(data))colors=['lightblue','pink','lightgreen']fig=plt.gca()ax=plt.subplot(111)# draw plotsford,std,col,xinzip(data,std_devs,colors,x_pos):plt.errorbar(x=x,y=d,yerr=std,fmt='o',color=col,ecolor='black')# setting axis limitsplt.xlim([min(x_pos)-1,max(x_pos)+1])plt.ylim([min(data)*0.7,max(data)*1.3])# setting labels and titlesplt.ylabel('x label')plt.text(1,2,'Modified',horizontalalignment='center',fontsize=14)# remove axis spinesax.spines["top"].set_visible(False)ax.spines["right"].set_visible(False)ax.spines["bottom"].set_visible(False)ax.spines["left"].set_visible(False)# hiding axis ticksplt.tick_params(axis="both",which="both",bottom="off",top="off",labelbottom="off",left="off",right="off",labelleft="on")# adding horizontal grid linesax.yaxis.grid(True)plt.legend(['X1','X2','X3'],loc='upper right',fancybox=True,numpoints=1)plt.tight_layout()plt.show()

errorbar_default()

errorbar_modified()

data=[np.random.normal(0,std,50)forstdinrange(1,4)]

importmatplotlib.pyplotaspltimportnumpyasnpdefboxplot_default():fig=plt.figure(figsize=(8,6))plt.boxplot(data,notch=False,# box instead of notch shapesym='rs',# red squares for outliersvert=True)# vertical box aligmnentplt.xticks([y+1foryinrange(len(data))],['x1','x2','x3'])plt.title('Matplotlib default')plt.show()

defboxplot_modified():fig=plt.figure(figsize=(8,6))ax=plt.subplot(111)bplot=plt.boxplot(data,notch=True,# notch shapevert=True,# vertical box aligmnentsym='ko',# red circle for outlierspatch_artist=True,# fill with color)# choosing custom colors to fill the boxescolors=['pink','lightblue','lightgreen']forpatch,colorinzip(bplot['boxes'],colors):patch.set_facecolor(color)# modifying the whiskers: straight lines, black, widerforwhiskerinbplot['whiskers']:whisker.set(color='black',linewidth=1.2,linestyle='-')# making the caps a little bit widerforcapinbplot['caps']:cap.set(linewidth=1.2)# hiding axis ticksplt.tick_params(axis="both",which="both",bottom="off",top="off",labelbottom="on",left="off",right="off",labelleft="on")# adding horizontal grid linesax.yaxis.grid(True)# remove axis spinesax.spines["top"].set_visible(False)ax.spines["right"].set_visible(False)ax.spines["bottom"].set_visible(False)ax.spines["left"].set_visible(False)plt.xticks([y+1foryinrange(len(data))],['x1','x2','x3'])# raised titleplt.text(2,9,'Modified',horizontalalignment='center',fontsize=18)plt.tight_layout()plt.show()

boxplot_default()

boxplot_modified()

importmatplotlib.pyplotaspltdefbarplot_default():# input datamean_values=[1,2,3]variance=[0.2,0.4,0.5]bar_labels=['bar 1','bar 2','bar 3']fig=plt.figure(figsize=(6,4))# plot barsx_pos=list(range(len(bar_labels)))plt.bar(x_pos,mean_values,yerr=variance,align='center')# set axes labels and titleplt.ylabel('variable y')plt.xticks(x_pos,bar_labels)plt.title('Matplotlib default')plt.show()

importmatplotlib.pyplotaspltdefbarplot_modified():# input datamean_values=[1,2,3]variance=[0.2,0.4,0.5]bar_labels=['bar 1','bar 2','bar 3']fig=plt.figure(figsize=(6,4))ax=plt.subplot(111)# plot barsx_pos=list(range(len(bar_labels)))plt.bar(x_pos,mean_values,yerr=variance,ecolor='black',# black error bar coloralpha=0.5,# transparencywidth=0.5,# smaller bar widthalign='center')# set height of the y-axismax_y=max(zip(mean_values,variance))# returns a tuple, here: (3, 5)plt.ylim([0,(max_y[0]+max_y[1])*1.1])# hiding axis ticksplt.tick_params(axis="both",which="both",bottom="off",top="off",labelbottom="on",left="off",right="off",labelleft="on")# adding horizontal grid linesax.yaxis.grid(True)# remove axis spinesax.spines["top"].set_visible(False)ax.spines["right"].set_visible(False)ax.spines["bottom"].set_visible(False)ax.spines["left"].set_visible(False)# set axes labels and titleplt.ylabel('variable y')plt.xticks(x_pos,bar_labels)plt.text(1,4,'Modified',horizontalalignment='center',fontsize=18)plt.tight_layout()plt.show()

barplot_default()

barplot_modified()

importnumpyasnpimportrandomfrommatplotlibimportpyplotaspltdata1=[random.gauss(15,10)foriinrange(500)]data2=[random.gauss(5,5)foriinrange(500)]

defhistogram_default():fig=plt.figure(figsize=(8,6))bins=np.arange(-60,60,2.5)# plot histogramsplt.hist(data1,bins=bins,label='class 1')plt.hist(data2,bins=bins,label='class 2')# labelsplt.title('Matplotlib default')plt.xlabel('variable X')plt.ylabel('count')plt.legend(loc='upper right')plt.show()

defhistogram_modified():bins=np.arange(-60,60,2.5)fig=plt.figure(figsize=(8,6))ax=plt.subplot(111)# plot histogramsplt.hist(data1,bins=bins,alpha=0.3,# transparencylabel='class 1')plt.hist(data2,bins=bins,alpha=0.3,# transparencylabel='class 2')# axis formattingplt.ylim([0,110])plt.xlim([min(data1+data2)-5,max(data1+data2)+5])# hiding axis ticksplt.tick_params(axis="both",which="both",bottom="off",top="off",labelbottom="on",left="off",right="off",labelleft="on")# adding horizontal grid linesax.yaxis.grid(True)# remove axis spinesax.spines["top"].set_visible(False)ax.spines["right"].set_visible(False)ax.spines["bottom"].set_visible(False)ax.spines["left"].set_visible(False)# labelsplt.xlabel('variable X')plt.ylabel('count')plt.legend(loc='upper right',fancybox=True)# raised titleplt.text(15,120,'Modified',horizontalalignment='center',fontsize=18)plt.show()

histogram_default()

histogram_modified()

frommatplotlibimportpyplotaspltimportnumpyasnpdefpiechart_default():plt.pie((10,5),labels=('spam','ham'))plt.legend()plt.title('Matplotlib default')plt.show()

defpiechart_modified():plt.pie((10,5),labels=('spam','ham'),shadow=True,colors=('lightskyblue','yellowgreen'),explode=(0,0.15),# space between slicesstartangle=90,# rotate conter-clockwise by 90 degreesautopct='%1.1f%%',# display fraction as percentage)plt.legend(fancybox=True)plt.axis('equal')# plot pyplot as circleplt.tight_layout()plt.title('Modified')plt.show()

piechart_default()

piechart_modified()

importnumpyasnpdata=[np.random.normal(0,std,50)forstdinrange(1,4)]

importmatplotlib.pyplotaspltdefviolin_default():fig=plt.figure(figsize=(8,6))plt.violinplot(data)plt.xticks([y+1foryinrange(len(data))],['x1','x2','x3'])plt.title('Matplotlib default')plt.show()

defviolin_modified():fig=plt.figure(figsize=(8,6))ax=plt.subplot(111)vplot=plt.violinplot(data,showmeans=False,showmedians=True,showextrema=False)# choosing custom colors to fill the boxescolors=['red','blue','green']forpatch,colorinzip(vplot['bodies'],colors):patch.set_facecolor(color)# hiding axis ticksplt.tick_params(axis="both",which="both",bottom="off",top="off",labelbottom="on",left="off",right="off",labelleft="on")# adding horizontal grid linesax.yaxis.grid(True)# remove axis spinesax.spines["top"].set_visible(False)ax.spines["right"].set_visible(False)ax.spines["bottom"].set_visible(False)ax.spines["left"].set_visible(False)plt.xticks([y+1foryinrange(len(data))],['x1','x2','x3'])# raised titleplt.text(2,9,'Modified',horizontalalignment='center',fontsize=18)plt.tight_layout()plt.show()

violin_default()

violin_modified()