fix(script): Fix display of fuller-width figures
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1 changed files with 3 additions and 4 deletions
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@ -418,6 +418,7 @@ print(f"""
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```{{mermaid}}
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```{{mermaid}}
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%%| label: fig-prisma
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%%| label: fig-prisma
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%%| fig-cap: "Sample sorting process through identification and screening"
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%%| fig-cap: "Sample sorting process through identification and screening"
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%%| fig-width: 6
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flowchart TD;
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flowchart TD;
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search_db["Records identified through database searching (n=1643)"] --> starting_sample;
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search_db["Records identified through database searching (n=1643)"] --> starting_sample;
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search_prev["Records identified through other sources (n=753)"] --> starting_sample["Starting sample (n=2396)"];
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search_prev["Records identified through other sources (n=753)"] --> starting_sample["Starting sample (n=2396)"];
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@ -557,7 +558,6 @@ Should they point towards gaps (or over-optimization) of sepcific areas of inter
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```{python}
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```{python}
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#| label: fig-intervention-types
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#| label: fig-intervention-types
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#| fig-cap: Predominant type of intervention
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#| fig-cap: Predominant type of intervention
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#| column: page
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interv_type_df = (
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interv_type_df = (
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bib_df["zot_keywords"]
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bib_df["zot_keywords"]
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@ -569,7 +569,7 @@ interv_type_df = (
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sort_order = interv_type_df["intervention type"].value_counts(ascending=False).index
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sort_order = interv_type_df["intervention type"].value_counts(ascending=False).index
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fig = plt.figure()
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fig = plt.figure()
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fig.set_size_inches(12, 4)
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fig.set_size_inches(6, 3)
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ax = sns.countplot(interv_type_df, x="intervention type", order=sort_order)
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ax = sns.countplot(interv_type_df, x="intervention type", order=sort_order)
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plt.setp(ax.get_xticklabels(), rotation=45, ha="right",
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plt.setp(ax.get_xticklabels(), rotation=45, ha="right",
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rotation_mode="anchor")
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rotation_mode="anchor")
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@ -581,7 +581,6 @@ plt.show()
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```{python}
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```{python}
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#| label: fig-inequality-types
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#| label: fig-inequality-types
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#| fig-cap: Types of inequality analyzed
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#| fig-cap: Types of inequality analyzed
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#| column: page
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inequ_type_df = (
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inequ_type_df = (
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bib_df["zot_keywords"]
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bib_df["zot_keywords"]
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@ -593,7 +592,7 @@ inequ_type_df = (
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sort_order = inequ_type_df["inequality type"].value_counts(ascending=False).index
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sort_order = inequ_type_df["inequality type"].value_counts(ascending=False).index
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fig = plt.figure()
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fig = plt.figure()
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fig.set_size_inches(12, 4)
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fig.set_size_inches(6, 3)
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ax = sns.countplot(inequ_type_df, x="inequality type", order=sort_order)
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ax = sns.countplot(inequ_type_df, x="inequality type", order=sort_order)
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plt.setp(ax.get_xticklabels(), rotation=45, ha="right",
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plt.setp(ax.get_xticklabels(), rotation=45, ha="right",
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rotation_mode="anchor")
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rotation_mode="anchor")
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