Andreas/mtg_python_deckbuilder
1
0
Fork 0
mirror of https://github.com/mwisnowski/mtg_python_deckbuilder.git synced 2025-12-17 08:00:13 +01:00
Code Issues Projects Releases Packages Wiki Activity Actions

Aded logic for enchantments, enchantment tokens, creature tokens, and token modifications

Browse source
This commit is contained in:
mwisnowski 2024-12-10 15:32:25 -08:00
parent 5fb2eb5b68
commit 2c5020799e
2 changed files with 176 additions and 24 deletions
Download patch file Download diff file Expand all files Collapse all files

19
setup.py
View file

@ -33,6 +33,9 @@ def filter_by_color(df, column_name, value, new_csv_name):
filtered_df = filtered_df.loc[filtered_df['layout'] != 'reversible_card']
filtered_df = filtered_df[filtered_df['availability'].str.contains('paper')]
filtered_df = filtered_df.loc[filtered_df['promoTypes'] != 'playtest']
filtered_df = filtered_df.loc[filtered_df['securityStamp'] != 'heart']
filtered_df = filtered_df.loc[filtered_df['securityStamp'] != 'acorn']
card_types = ['Plane —', 'Conspiracy', 'Vanguard', 'Scheme', 'Phenomena', 'Stickers', 'Attraction']
for card_type in card_types:
filtered_df = filtered_df[~filtered_df['type'].str.contains(card_type)]
@ -44,6 +47,7 @@ def filter_by_color(df, column_name, value, new_csv_name):
filtered_df.to_csv(new_csv_name, index=False)
def determine_legendary():
print('Generating legendary_cards.csv, containing all Legendary Creatures elligible to be commanders.')
# Filter dataframe
while True:
try:
@ -63,12 +67,21 @@ def determine_legendary():
"""
filtered_df.sort_values('name')
filtered_df = filtered_df.loc[filtered_df['layout'] != 'reversible_card']
filtered_df = filtered_df.loc[filtered_df['availability'] != 'arena']
filtered_df.drop_duplicates(subset='name', keep='first', inplace=True)
columns_to_keep = ['name', 'edhrecRank','colorIdentity', 'colors', 'manaCost', 'manaValue', 'type', 'keywords', 'text', 'power', 'toughness']
filtered_df = filtered_df[filtered_df['availability'].str.contains('paper')]
filtered_df = filtered_df.loc[filtered_df['promoTypes'] != 'playtest']
filtered_df = filtered_df.loc[filtered_df['securityStamp'] != 'heart']
filtered_df = filtered_df.loc[filtered_df['securityStamp'] != 'acorn']
card_types = ['Plane —', 'Conspiracy', 'Vanguard', 'Scheme', 'Phenomena', 'Stickers', 'Attraction']
for card_type in card_types:
filtered_df = filtered_df[~filtered_df['type'].str.contains(card_type)]
filtered_df['faceName'] = filtered_df['faceName'].fillna(filtered_df['name'])
filtered_df.drop_duplicates(subset='faceName', keep='first', inplace=True)
columns_to_keep = ['name', 'faceName','edhrecRank','colorIdentity', 'colors', 'manaCost', 'manaValue', 'type', 'keywords', 'text', 'power', 'toughness']
filtered_df = filtered_df[columns_to_keep]
filtered_df.sort_values(by='name', key=lambda col: col.str.lower(), inplace=True)
filtered_df.to_csv('csv_files/legendary_cards.csv', index=False)
print('legendary_cards.csv file generated.')
def initial_setup():
print('Checking for cards.csv file.\n')