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()
