[DEV] Add code and figure for Kaggle Activity 2022

Author: chAwater

GitHub_contributions/Kaggle_Activity_2022.png

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+import calendar
+
+import numpy as np
+import pandas as pd
+
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+from bs4 import BeautifulSoup
+
+data_from_web_txt = open('./Kaggle_Activity_2022.txt', 'r').read()
+
+bsObj = BeautifulSoup(data_from_web_txt, 'html')
+
+fig_df = pd.DataFrame()
+
+n = 0
+
+qdict = {
+    'color-empty' : 0,
+    'q1' : 1,
+    'q2' : 2,
+    'q3' : 3,
+}
+
+for col in bsObj.find_all("g", {"class":"react-calendar-heatmap-week"}):
+    x = int(col['transform'].replace('translate(', '').split(',')[0])
+    
+    for row in col.find_all('rect'):
+        name = row['class'][0]
+        time = pd.to_datetime(row['data-tip'][:24])
+        y = int(row['y'])
+        fig_df = pd.concat(
+            [
+                fig_df,
+                pd.DataFrame.from_dict(
+                    {n:{
+                        'name' : name,
+                        'time' : time,
+                        'value' : qdict[name],
+                        'x' : x,
+                        'y' : y,
+                        'month' : calendar.month_abbr[time.month],
+                    }}
+                ).T
+            ]
+        )
+        n+=1
+
+
+fig, ax = plt.subplots(figsize=(15,2))
+cbar_ax = fig.add_axes([0.15, 0.0, 0.04, 0.08]) # [left, bottom, width, height]
+
+month_idx = fig_df.pivot(columns='x', index='y', values='month').loc[0].drop_duplicates()
+heatmap_df = fig_df.pivot(columns='x', index='y', values='value').astype(int)
+
+g = sns.heatmap(
+    heatmap_df, 
+    vmax=4,
+    vmin=-0.5,
+    cmap='Blues',
+    yticklabels=False,
+    linewidths=2.5,
+    cbar_kws={ 
+        'ticks':[], 
+        'boundaries' : np.arange(0,5,1),
+        'orientation':'horizontal',
+    },
+    cbar_ax = cbar_ax,
+    ax = ax
+)
+
+cbar_ax.get_xaxis().set_ticklabels([]);
+
+ax.set_xlabel('')
+ax.set_ylabel('')
+ax.set_xticks(heatmap_df.columns.get_indexer(month_idx.index[1:]))
+ax.set_xticklabels(month_idx.values[1:])
+
+ax.xaxis.tick_top()
+ax.xaxis.set_label_position('top')
+
+ax.set_title('Activity @ '+pd.Timestamp.today().strftime('%Y-%m-%d'))
+ax.tick_params(top=False)
+
+fig.savefig('Kaggle_Activity_' + pd.Timestamp.today().strftime('%Y') + '.png', bbox_inches='tight')
+fig.savefig('Kaggle_Activity_' + pd.Timestamp.today().strftime('%Y') + '.svg', bbox_inches='tight')
+
+plt.show()