Label plot axes.
parent
0409c9e982
commit
2c5a0b4157
|
@ -74,15 +74,16 @@ df_esm_PANAS_summary_participant = (
|
||||||
.reset_index(col_level=1)
|
.reset_index(col_level=1)
|
||||||
)
|
)
|
||||||
df_esm_PANAS_summary_participant[
|
df_esm_PANAS_summary_participant[
|
||||||
"PANAS_subscale"
|
"PANAS subscale"
|
||||||
] = df_esm_PANAS_daily_means.questionnaire_id.astype("category").cat.rename_categories(
|
] = df_esm_PANAS_daily_means.questionnaire_id.astype("category").cat.rename_categories(
|
||||||
{8.0: "PA", 9.0: "NA"}
|
{8.0: "positive affect", 9.0: "negative affect"}
|
||||||
)
|
)
|
||||||
|
|
||||||
# %%
|
# %%
|
||||||
fig1 = sns.displot(
|
fig1 = sns.displot(
|
||||||
data=df_esm_PANAS_summary_participant, x="mean", hue="PANAS_subscale", binwidth=0.2
|
data=df_esm_PANAS_summary_participant, x="mean", hue="PANAS subscale", binwidth=0.2
|
||||||
)
|
)
|
||||||
|
fig1.set_axis_labels(x_var="participant mean", y_var="frequency")
|
||||||
if save_figs:
|
if save_figs:
|
||||||
fig1.figure.savefig("PANAS_mean_participant.pdf", dpi=300)
|
fig1.figure.savefig("PANAS_mean_participant.pdf", dpi=300)
|
||||||
|
|
||||||
|
@ -90,14 +91,15 @@ if save_figs:
|
||||||
sns.displot(
|
sns.displot(
|
||||||
data=df_esm_PANAS_summary_participant,
|
data=df_esm_PANAS_summary_participant,
|
||||||
x="median",
|
x="median",
|
||||||
hue="PANAS_subscale",
|
hue="PANAS subscale",
|
||||||
binwidth=0.2,
|
binwidth=0.2,
|
||||||
)
|
)
|
||||||
|
|
||||||
# %%
|
# %%
|
||||||
fig2 = sns.displot(
|
fig2 = sns.displot(
|
||||||
data=df_esm_PANAS_summary_participant, x="std", hue="PANAS_subscale", binwidth=0.05
|
data=df_esm_PANAS_summary_participant, x="std", hue="PANAS subscale", binwidth=0.05
|
||||||
)
|
)
|
||||||
|
fig2.set_axis_labels(x_var="participant standard deviation", y_var="frequency")
|
||||||
if save_figs:
|
if save_figs:
|
||||||
fig2.figure.savefig("PANAS_std_participant.pdf", dpi=300)
|
fig2.figure.savefig("PANAS_std_participant.pdf", dpi=300)
|
||||||
|
|
||||||
|
@ -148,6 +150,9 @@ df_esm_SAM_event_summary_participant = (
|
||||||
|
|
||||||
# %%
|
# %%
|
||||||
fig6 = sns.displot(data=df_esm_SAM_event_summary_participant, x="mean", binwidth=0.1)
|
fig6 = sns.displot(data=df_esm_SAM_event_summary_participant, x="mean", binwidth=0.1)
|
||||||
|
fig6.set_axis_labels(
|
||||||
|
x_var="participant proportion of stressful events", y_var="frequency"
|
||||||
|
)
|
||||||
if save_figs:
|
if save_figs:
|
||||||
fig6.figure.savefig("SAM_events_mean_participant.pdf", dpi=300)
|
fig6.figure.savefig("SAM_events_mean_participant.pdf", dpi=300)
|
||||||
|
|
||||||
|
@ -194,7 +199,7 @@ df_esm_SAM_threat_challenge_summary_participant = df_esm_SAM_summary_participant
|
||||||
| (df_esm_SAM_summary_participant["questionnaire_id"] == 89)
|
| (df_esm_SAM_summary_participant["questionnaire_id"] == 89)
|
||||||
]
|
]
|
||||||
df_esm_SAM_threat_challenge_summary_participant[
|
df_esm_SAM_threat_challenge_summary_participant[
|
||||||
"event_subscale"
|
"event subscale"
|
||||||
] = df_esm_SAM_threat_challenge_summary_participant.questionnaire_id.astype(
|
] = df_esm_SAM_threat_challenge_summary_participant.questionnaire_id.astype(
|
||||||
"category"
|
"category"
|
||||||
).cat.rename_categories(
|
).cat.rename_categories(
|
||||||
|
@ -205,7 +210,7 @@ df_esm_SAM_threat_challenge_summary_participant[
|
||||||
sns.displot(
|
sns.displot(
|
||||||
data=df_esm_SAM_threat_challenge_summary_participant,
|
data=df_esm_SAM_threat_challenge_summary_participant,
|
||||||
x="mean",
|
x="mean",
|
||||||
hue="event_subscale",
|
hue="event subscale",
|
||||||
binwidth=0.2,
|
binwidth=0.2,
|
||||||
)
|
)
|
||||||
|
|
||||||
|
@ -213,9 +218,10 @@ sns.displot(
|
||||||
fig3 = sns.displot(
|
fig3 = sns.displot(
|
||||||
data=df_esm_SAM_threat_challenge_summary_participant,
|
data=df_esm_SAM_threat_challenge_summary_participant,
|
||||||
x="std",
|
x="std",
|
||||||
hue="event_subscale",
|
hue="event subscale",
|
||||||
binwidth=0.1,
|
binwidth=0.1,
|
||||||
)
|
)
|
||||||
|
fig3.set_axis_labels(x_var="participant standard deviation", y_var="frequency")
|
||||||
if save_figs:
|
if save_figs:
|
||||||
fig3.figure.savefig("SAM_std_participant.pdf", dpi=300)
|
fig3.figure.savefig("SAM_std_participant.pdf", dpi=300)
|
||||||
|
|
||||||
|
@ -263,7 +269,7 @@ df_esm_JCQ_summary_participant = (
|
||||||
.reset_index(col_level=1)
|
.reset_index(col_level=1)
|
||||||
)
|
)
|
||||||
df_esm_JCQ_summary_participant[
|
df_esm_JCQ_summary_participant[
|
||||||
"JCQ_subscale"
|
"JCQ subscale"
|
||||||
] = df_esm_JCQ_summary_participant.questionnaire_id.astype(
|
] = df_esm_JCQ_summary_participant.questionnaire_id.astype(
|
||||||
"category"
|
"category"
|
||||||
).cat.rename_categories(
|
).cat.rename_categories(
|
||||||
|
@ -274,9 +280,10 @@ df_esm_JCQ_summary_participant[
|
||||||
fig4 = sns.displot(
|
fig4 = sns.displot(
|
||||||
data=df_esm_JCQ_summary_participant,
|
data=df_esm_JCQ_summary_participant,
|
||||||
x="mean",
|
x="mean",
|
||||||
hue="JCQ_subscale",
|
hue="JCQ subscale",
|
||||||
binwidth=0.1,
|
binwidth=0.1,
|
||||||
)
|
)
|
||||||
|
fig4.set_axis_labels(x_var="participant mean", y_var="frequency")
|
||||||
if save_figs:
|
if save_figs:
|
||||||
fig4.figure.savefig("JCQ_mean_participant.pdf", dpi=300)
|
fig4.figure.savefig("JCQ_mean_participant.pdf", dpi=300)
|
||||||
|
|
||||||
|
@ -284,8 +291,11 @@ if save_figs:
|
||||||
fig5 = sns.displot(
|
fig5 = sns.displot(
|
||||||
data=df_esm_JCQ_summary_participant,
|
data=df_esm_JCQ_summary_participant,
|
||||||
x="std",
|
x="std",
|
||||||
hue="JCQ_subscale",
|
hue="JCQ subscale",
|
||||||
binwidth=0.05,
|
binwidth=0.05,
|
||||||
)
|
)
|
||||||
|
fig6.set_axis_labels(x_var="participant standard deviation", y_var="frequency")
|
||||||
if save_figs:
|
if save_figs:
|
||||||
fig5.figure.savefig("JCQ_std_participant.pdf", dpi=300)
|
fig5.figure.savefig("JCQ_std_participant.pdf", dpi=300)
|
||||||
|
|
||||||
|
# %%
|
||||||
|
|
Loading…
Reference in New Issue