lunarflu HF staff commited on
Commit
7580f86
·
verified ·
1 Parent(s): 3b505e3

moving data = pd.read_csv("https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/export?format=csv&gid=0") outside

Browse files
Files changed (1) hide show
  1. app.py +5 -4
app.py CHANGED
@@ -50,6 +50,7 @@ api = HfApi()
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  """"""
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  #csv_file = 'data.csv'
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  global_df = pd.DataFrame()
 
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  @bot.event
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  async def on_ready():
@@ -59,7 +60,7 @@ async def on_ready():
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  # testing sheet -> read -> paste sheet
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  """import data from google sheets -> HF Space .csv (doesn't make API call this way, as it's read-only)"""
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- data = pd.read_csv("https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/export?format=csv&gid=0")
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  data['discord_user_id'] = data['discord_user_id'].astype(str)
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  global_df = data
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  print(f"csv successfully retrieved: {global_df}")
@@ -324,7 +325,7 @@ async def xp_help(ctx):
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  """"""
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  def get_data():
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- first_3_columns = global_df.iloc[:, 1:4]
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  first_3_columns.to_csv('first_3_columns.csv', index=False)
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  return first_3_columns
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@@ -335,10 +336,10 @@ def get_data():
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  demo = gr.Blocks()
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  with demo:
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- column_values_unique = sorted(global_df.iloc[:, 3].unique())
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  dataframe2 = pd.DataFrame({'Levels': column_values_unique})
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  counts = {}
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- for value in global_df.iloc[:, 3]:
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  counts[value] = counts.get(value, 0) + 1
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  dataframe2['Members'] = dataframe2['Levels'].map(counts)
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  """"""
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  #csv_file = 'data.csv'
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  global_df = pd.DataFrame()
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+ data = pd.read_csv("https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/export?format=csv&gid=0")
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  @bot.event
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  async def on_ready():
 
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  # testing sheet -> read -> paste sheet
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  """import data from google sheets -> HF Space .csv (doesn't make API call this way, as it's read-only)"""
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+
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  data['discord_user_id'] = data['discord_user_id'].astype(str)
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  global_df = data
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  print(f"csv successfully retrieved: {global_df}")
 
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  """"""
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  def get_data():
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+ first_3_columns = data.iloc[:, 1:4]
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  first_3_columns.to_csv('first_3_columns.csv', index=False)
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  return first_3_columns
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  demo = gr.Blocks()
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  with demo:
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+ column_values_unique = sorted(data.iloc[:, 3].unique())
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  dataframe2 = pd.DataFrame({'Levels': column_values_unique})
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  counts = {}
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+ for value in data.iloc[:, 3]:
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  counts[value] = counts.get(value, 0) + 1
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  dataframe2['Members'] = dataframe2['Levels'].map(counts)
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