From b6b0a88eba8e3ccc9f24d0bcf13ff4bfcc5381cc Mon Sep 17 00:00:00 2001 From: Daniel Svitan Date: Sun, 23 Mar 2025 19:44:11 +0100 Subject: [PATCH] :lipstick: Increases font size --- analyze.py | 18 ++++++++------- analyze_absence.py | 13 ++++++----- distribution.py | 20 ++++++++--------- requirements.txt | 56 ++++++++-------------------------------------- 4 files changed, 37 insertions(+), 70 deletions(-) diff --git a/analyze.py b/analyze.py index 5aaacb8..1909fe6 100644 --- a/analyze.py +++ b/analyze.py @@ -105,7 +105,7 @@ def plot_violin(data, labels, Fs, ps, title): grade_name_labels = ["Priemer známok", "Známka z matematiky", "Známka zo slovenčiny", "Známka z angličtiny"] fig, axs = plt.subplots(2, 2) - fig.suptitle(title) + fig.suptitle(title, fontsize=18) fig.set_size_inches(12, 9) for j in range(2): @@ -114,9 +114,9 @@ def plot_violin(data, labels, Fs, ps, title): step = 1 if index > 0 else 0.5 parts = axs[j, k].violinplot(data[index], showmedians=True, showmeans=True) - axs[j, k].set_title(grade_names[index]) - axs[j, k].set_xlabel(title, fontweight="bold") - axs[j, k].set_ylabel(grade_name_labels[index], fontweight="bold") + axs[j, k].set_title(grade_names[index], fontsize=16) + axs[j, k].set_xlabel(title, fontweight="bold", fontsize=14) + axs[j, k].set_ylabel(grade_name_labels[index], fontweight="bold", fontsize=14) # q1-q3 lines for ind, vec in enumerate(data[index]): @@ -142,12 +142,14 @@ def plot_violin(data, labels, Fs, ps, title): p = ps[index] axs[j, k].text(0.01, 0.99, f"F-stat: {F:.4f}\np-val: {p:.4f}", ha="left", va="top", transform=axs[j, k].transAxes, - fontweight="bold") + fontweight="bold", + fontsize=12) axs[j, k].text(0.99, 0.99, f"Na ľavo - priemer (červená)\nNa pravo - medián (zelená)\nSivá - medzi kvartilom 1 a 3", ha="right", va="top", - transform=axs[j, k].transAxes) + transform=axs[j, k].transAxes, + fontsize=12) medians = list([np.median(a) for a in data[index]]) means = list([a.mean() for a in data[index]]) @@ -155,8 +157,8 @@ def plot_violin(data, labels, Fs, ps, title): median = medians[l] mean = means[l] # left - mean, right - median - axs[j, k].text(l + 1.13, median - 0.05, f"{median:.2f}", color="green") - axs[j, k].text(l + 0.90 - len(labels) * 0.065, mean - 0.05, f"{mean:.2f}", color="red") + axs[j, k].text(l + 1.13, median - 0.05, f"{median:.2f}", color="green", fontsize=12, fontweight="bold") + axs[j, k].text(l + 0.87 - len(labels) * 0.065, mean - 0.05, f"{mean:.2f}", color="red", fontsize=12, fontweight="bold") fig.tight_layout() if save != "": diff --git a/analyze_absence.py b/analyze_absence.py index dbe2733..0e06115 100644 --- a/analyze_absence.py +++ b/analyze_absence.py @@ -49,7 +49,7 @@ grade_names = ["Priemer", "Matematika", "Slovenčina", "Angličtina"] grade_name_labels = ["Priemer známok", "Známka z matematiky", "Známka zo slovenčiny", "Známka z angličtiny"] fig, axs = plt.subplots(2, 2) -fig.suptitle("Absencia") +fig.suptitle("Absencia", fontsize=18) fig.set_size_inches(12, 9) for j in range(2): @@ -61,8 +61,8 @@ for j in range(2): x = data[index][0] # absence y = data[index][1] # grade axs[j, k].scatter(x, y) - axs[j, k].set_xlabel("Počet vymeškaných hodín") - axs[j, k].set_ylabel(grade_name_labels[index]) + axs[j, k].set_xlabel("Počet vymeškaných hodín", fontweight="bold", fontsize=14) + axs[j, k].set_ylabel(grade_name_labels[index], fontweight="bold", fontsize=14) axs[j, k].set_yticks(np.arange(1, 6)) # trendline @@ -76,15 +76,18 @@ for j in range(2): # data[index][1] - grades # data[index][0][specific grade] - absences for that specific grande # loop 1 through 5 plug in ^^ + axs[j, k].set_xlabel(grade_name_labels[index], fontweight="bold", fontsize=14) + axs[j, k].set_ylabel("Počet vymeškaných hodín", fontweight="bold", fontsize=14) axs[j, k].boxplot(by_grade, tick_labels=["1", "2", "3", "4", "5"]) - axs[j, k].set_title(grade_names[index]) + axs[j, k].set_title(grade_names[index], fontsize=16) tau = taus[index] p = ps[index] axs[j, k].text(0.01, 0.99, f"Tau τ: {tau:.4f}\np-val: {p:.4f}", ha="left", va="top", transform=axs[j, k].transAxes, - fontweight="bold") + fontweight="bold", + fontsize=12) fig.tight_layout() if save != "": diff --git a/distribution.py b/distribution.py index 8bfc1c2..d2a3e11 100644 --- a/distribution.py +++ b/distribution.py @@ -34,9 +34,9 @@ def plot_pie(data, labels, title, explode=None): else: i += 1 - plt.figure(figsize=(8, 6)) - plt.pie(np.array(data), labels=labels, autopct=lambda pct: percent(pct / 100), explode=explode) - plt.title(title) + plt.figure(figsize=(12, 9)) + plt.pie(np.array(data), labels=labels, autopct=lambda pct: percent(pct / 100), explode=explode, textprops={"fontsize": 16}) + plt.title(title, fontsize=20) plt.tight_layout() if save: @@ -51,11 +51,11 @@ def plot_hist(data, title, xlabel, ylabel): if not graph: return - plt.figure(figsize=(8, 6)) + plt.figure(figsize=(12, 9)) plt.hist(data, 25, edgecolor="black") - plt.title(title) - plt.xlabel(xlabel) - plt.ylabel(ylabel) + plt.title(title, fontsize=20) + plt.xlabel(xlabel, fontsize=16) + plt.ylabel(ylabel, fontsize=16) plt.tight_layout() if save: @@ -103,7 +103,7 @@ print("--- GPA ---") print("n/a") print("") -plot_hist(dataset[:, 2], "Distribúcia piemernu známok", "Piemerná známka", "Počet študentov/tiek") +plot_hist(dataset[:, 2], "Distribúcia piemernu známok", "Piemerná známka", "Počet študent*iek") math = dataset[:, 3] math_dist = [ @@ -212,7 +212,7 @@ print(f"other : {percent(living_dist[4])}") print("") plot_pie(living_dist, - ["S rodinou", "S rodinným príslušníkom/ou", "Sám/a alebo so spolubývajúcim/ou", "Intrák", "Iné"], + ["S rodinou", "S rodinnou príslušní*čkou", "Sám*a alebo so spolubývajúc*ou", "Intrák", "Iné"], "Distribúcia životných situácií") commute = dataset[:, 9] @@ -253,4 +253,4 @@ print("--- ABSENCE ---") print("n/a") print("") -plot_hist(dataset[:, 11], "Distribúcia absencií", "Počet neprítomných hodín", "Počet študentov/tiek") +plot_hist(dataset[:, 11], "Distribúcia absencií", "Počet neprítomných hodín", "Počet študent*iek") diff --git a/requirements.txt b/requirements.txt index 7343838..822bd24 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,47 +1,9 @@ -contourpy==1.3.1 -cycler==0.12.1 -filelock==3.16.1 -fonttools==4.55.3 -fsspec==2024.12.0 -Jinja2==3.1.5 -joblib==1.4.2 -kiwisolver==1.4.7 -MarkupSafe==3.0.2 -matplotlib==3.10.0 -mpmath==1.3.0 -networkx==3.4.2 -numpy==2.2.1 -nvidia-cublas-cu12==12.4.5.8 -nvidia-cuda-cupti-cu12==12.4.127 -nvidia-cuda-nvrtc-cu12==12.4.127 -nvidia-cuda-runtime-cu12==12.4.127 -nvidia-cudnn-cu12==9.1.0.70 -nvidia-cufft-cu12==11.2.1.3 -nvidia-curand-cu12==10.3.5.147 -nvidia-cusolver-cu12==11.6.1.9 -nvidia-cusparse-cu12==12.3.1.170 -nvidia-nccl-cu12==2.21.5 -nvidia-nvjitlink-cu12==12.4.127 -nvidia-nvtx-cu12==12.4.127 -packaging==24.2 -pandas==2.2.3 -pandas-flavor==0.6.0 -patsy==1.0.1 -pillow==11.0.0 -pyparsing==3.2.0 -python-dateutil==2.9.0.post0 -pytz==2024.2 -scikit-learn==1.6.0 -scikit-posthocs==0.11.2 -scipy==1.14.1 -seaborn==0.13.2 -setuptools==75.6.0 -six==1.17.0 -statsmodels==0.14.4 -sympy==1.13.1 -tabulate==0.9.0 -threadpoolctl==3.5.0 -torch==2.5.1 -typing_extensions==4.12.2 -tzdata==2024.2 -xarray==2024.11.0 +numpy +matplotlib +PyQt6 +pandas +scipy +scikit_posthocs +tabulate +torch +scikit-learn