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Updating the changed labels from CoinMarketCap data. #4

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Updating the changed labels from CoinMarketCap data. #4

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14 changes: 6 additions & 8 deletions app_6_eda_cryptocurrency/crypto-price-app.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,6 @@
st.title('Crypto Price App')
st.markdown("""
This app retrieves cryptocurrency prices for the top 100 cryptocurrency from the **CoinMarketCap**!

""")
#---------------------------------#
# About
Expand Down Expand Up @@ -77,11 +76,11 @@ def load_data():
coin_name.append(i['slug'])
coin_symbol.append(i['symbol'])
price.append(i['quote'][currency_price_unit]['price'])
percent_change_1h.append(i['quote'][currency_price_unit]['percent_change_1h'])
percent_change_24h.append(i['quote'][currency_price_unit]['percent_change_24h'])
percent_change_7d.append(i['quote'][currency_price_unit]['percent_change_7d'])
market_cap.append(i['quote'][currency_price_unit]['market_cap'])
volume_24h.append(i['quote'][currency_price_unit]['volume_24h'])
percent_change_1h.append(i['quote'][currency_price_unit]['percentChange1h'])
percent_change_24h.append(i['quote'][currency_price_unit]['percentChange24h'])
percent_change_7d.append(i['quote'][currency_price_unit]['percentChange7d'])
market_cap.append(i['quote'][currency_price_unit]['marketCap'])
volume_24h.append(i['quote'][currency_price_unit]['volume24h'])

df = pd.DataFrame(columns=['coin_name', 'coin_symbol', 'market_cap', 'percent_change_1h', 'percent_change_24h', 'percent_change_7d', 'price', 'volume_24h'])
df['coin_name'] = coin_name
Expand All @@ -107,8 +106,7 @@ def load_data():
df_coins = df_selected_coin[:num_coin]

## Sidebar - Percent change timeframe
percent_timeframe = col1.selectbox('Percent change time frame',
['7d','24h', '1h'])
percent_timeframe = col1.selectbox('Percent change time frame', ['7d','24h', '1h'])
percent_dict = {"7d":'percent_change_7d',"24h":'percent_change_24h',"1h":'percent_change_1h'}
selected_percent_timeframe = percent_dict[percent_timeframe]

Expand Down