fig, ax = MakePlot().create() # g = sns.FacetGrid(df, col="time", row="sex") # g.map(sns.scatterplot, "total_bill", "tip") sns.scatterplot(x='Current (mA)', y=r'$\mu_o H_{Peak} (T)$', data=df[df['Temperature (K)'] == key], palette="bright" ) #style='Temperature (K)', column='Temperature (K)' plt.suptitle('Low Temperature Peak Field for ' + sample + '(T = ' + str(key) + ' K)', fontsize=22) fig.tight_layout(pad=4.0) plt.show() # # for curr, inds in groupers.groups.items(): # # df_curr = df[df['Current (mA)'] == curr] # # fig, ax = MakePlot().create() # sns.scatterplot(x='Magnetic Field (T)', y='Magnetoresistive Ratio', hue='Temperature (K)', data=df_curr, palette="bright", legend=True) #style='Temperature (K)', # plt.title('Low Temperature Magnetoresistive Ratio ('+str(curr)+'(mA) ) for '+ sample, fontsize=22) # ax.set_xlabel('Magnetic Field (T)', fontsize=16) # ax.set_ylabel('Magnetoresistive Ratio', fontsize=16) # plt.tight_layout() # plt.show() #
prop={ 'size': 18, 'family': 'arial' }, handlelength=0, title=r'Angle c to a ($^\circ$)') plt.setp(legend.get_title(), fontsize=18, fontname='arial') for line, text in zip(legend.get_lines(), legend.get_texts()): text.set_color(line.get_color()) legend = axs[1].legend(framealpha=0, ncol=len(filenames_2ndsweep) // 2, loc='lower left', prop={ 'size': 18, 'family': 'arial' }, handlelength=0, title=r'Angle c to a ($^\circ$)') plt.setp(legend.get_title(), fontsize=18, fontname='arial') for line, text in zip(legend.get_lines(), legend.get_texts()): text.set_color(line.get_color()) fig.tight_layout(pad=3) plt.show()
if ind2 == 12: sns.scatterplot(x='Temperature (K)', y='Magnetoresistive Ratio', data=df2, palette="bright", legend=True, ax=axs[ind2]) axs[ind2].legend(loc='center', bbox_to_anchor=(0.5, -0.15), shadow=False, ncol=15, frameon=False) if not (ind2 == 0 or ind2 == 5 or ind2 == 10): axs[ind2].set_ylabel('') if ind2 < 10: axs[ind2].set_xlabel('') axs[ind2].set_title(str(key2) + 'T', fontsize=14) plt.suptitle('Low Temperature Magnetoresistive Ratio for ' + sample + 'Current (' + str(key) + ' mA)', fontsize=22) fig.tight_layout(pad=2.0) #plt.show() plt.savefig( '/Volumes/GoogleDrive/Shared drives/Quantum Materials/Popiel/MR_by_Field/' + sample + 'mr_field_curr_' + str(key) + '.png', dpi=300) plt.close()