feat: add readme to csv parser

Author: hxu296

.gitignore

@@ -0,0 +1,2 @@
+**/.ipynb_checkpoints
+**/__pycache__

README.md

@@ -1,3 +1,3 @@
 ### Leetcode Company Question List
 
-Curated lists of Leetcode questions group by companies, updated as of May 9, 2022.
+Curated lists of Leetcode questions group by companies, updated as of May, 2022.

data-gen/leetcode_scraper.ipynb

@@ -2,15 +2,19 @@
 from markdownTable import markdownTable
 import argparse
 
-def markdown_to_csv(md_path, csv_path):
+def md_to_df(md_path):
     df = pd.read_table(md_path, sep="|", header=0, index_col=1, skipinitialspace=True).dropna(axis=1, how='all').iloc[1:]
     df.columns = df.columns.str.strip()
+    return df
+
+def md_to_csv(md_path, csv_path):
+    df = md_to_df(md_path)
     df.to_csv(csv_path, index=False)
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(description='Convert Markdown table to CSV')
     parser.add_argument('--md', type=str, help='path to the source markdown file')
     parser.add_argument('--csv', type=str, help='path to the destination csv file')
     args = parser.parse_args()
-    markdown_to_csv(args.md, args.csv)
+    md_to_csv(args.md, args.csv)
 

data-gen/markdown2csv.py

@@ -0,0 +1,18 @@
+from markdown2csv import md_to_df
+import re
+import pandas as pd
+
+parsed_list = []
+df = md_to_df('../data/leetcode_repo_readme.md')
+
+for _, row in df.iterrows():
+    name_and_link = row['Title']
+    m = re.search(r'\[(.*)\]\((.*)\)', name_and_link)
+    name = m[1]
+    link = m[2]
+    parsed_list.append((name, link, ))
+
+parsed_df = pd.DataFrame(parsed_list, columns=['name', 'link'])
+parsed_df.to_csv('../data/leetcode_problems.csv')
+
+

data-gen/parse_readme.py

@@ -1,4 +1,4 @@
-| #    |      Title     | Solutions                                                                                                                                | Video                                                                         | Difficulty  | Tag  | Company 
+| ID    |      Title     | Solutions                                                                                                                                | Video                                                                         | Difficulty  | Tag  | Company 
 |------|----------------|------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------|-------------|-------------
 | 2264 |[Largest 3-Same-Digit Number in String](https://leetcode.com/problems/largest-3-same-digit-number-in-string/)| [Java](../master/src/main/java/com/fishercoder/solutions/_2264.java)                                                                     || Easy                                                                          ||
 | 2260 |[Minimum Consecutive Cards to Pick Up](https://leetcode.com/problems/minimum-consecutive-cards-to-pick-up/)| [Java](../master/src/main/java/com/fishercoder/solutions/_2260.java)                                                                     || Medium                                                                        ||