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Putting the graph part in if else to avoid errors. #5

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84 changes: 49 additions & 35 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 All @@ -42,7 +41,7 @@
# Page layout (continued)
## Divide page to 3 columns (col1 = sidebar, col2 and col3 = page contents)
col1 = st.sidebar
col2, col3 = st.beta_columns((2,1))
col2, col3 = st.beta_columns((3,1))

#---------------------------------#
# Sidebar + Main panel
Expand All @@ -62,7 +61,7 @@ def load_data():
coin_data = json.loads(data.contents[0])
listings = coin_data['props']['initialState']['cryptocurrency']['listingLatest']['data']
for i in listings:
coins[str(i['id'])] = i['slug']
coins[str(i['id'])] = i['slug']

coin_name = []
coin_symbol = []
Expand All @@ -74,14 +73,14 @@ def load_data():
volume_24h = []

for i in listings:
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'])
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]['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 @@ -100,15 +99,14 @@ def load_data():
sorted_coin = sorted( df['coin_symbol'] )
selected_coin = col1.multiselect('Cryptocurrency', sorted_coin, sorted_coin)

df_selected_coin = df[ (df['coin_symbol'].isin(selected_coin)) ] # Filtering data
df_selected_coin = df[(df['coin_symbol'].isin(selected_coin))] # Filtering data

## Sidebar - Number of coins to display
num_coin = col1.slider('Display Top N Coins', 1, 100, 100)
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 Expand Up @@ -144,26 +142,42 @@ def filedownload(df):
col3.subheader('Bar plot of % Price Change')

if percent_timeframe == '7d':
if sort_values == 'Yes':
df_change = df_change.sort_values(by=['percent_change_7d'])
col3.write('*7 days period*')
plt.figure(figsize=(5,25))
plt.subplots_adjust(top = 1, bottom = 0)
df_change['percent_change_7d'].plot(kind='barh', color=df_change.positive_percent_change_7d.map({True: 'g', False: 'r'}))
col3.pyplot(plt)
if len(selected_coin) !=0:
if sort_values == 'Yes':
df_change = df_change.sort_values(by=['percent_change_7d'])
col3.write('*7 days period*')
plt.figure(figsize=(5,25))
plt.subplots_adjust(top = 1, bottom = 0)
df_change['percent_change_7d'].plot(kind='barh', color=df_change.positive_percent_change_7d.map({True: 'g', False: 'r'}))
col3.pyplot(plt)

else:
col3.markdown("""
Select some cryptocurrencies to plot.
""")
elif percent_timeframe == '24h':
if sort_values == 'Yes':
df_change = df_change.sort_values(by=['percent_change_24h'])
col3.write('*24 hour period*')
plt.figure(figsize=(5,25))
plt.subplots_adjust(top = 1, bottom = 0)
df_change['percent_change_24h'].plot(kind='barh', color=df_change.positive_percent_change_24h.map({True: 'g', False: 'r'}))
col3.pyplot(plt)
if len(selected_coin) !=0:
if sort_values == 'Yes':
df_change = df_change.sort_values(by=['percent_change_24h'])
col3.write('*24 hour period*')
plt.figure(figsize=(5,25))
plt.subplots_adjust(top = 1, bottom = 0)
df_change['percent_change_24h'].plot(kind='barh', color=df_change.positive_percent_change_24h.map({True: 'g', False: 'r'}))
col3.pyplot(plt)
else:
col3.markdown("""
Select some cryptocurrencies to plot.
""")
else:
if sort_values == 'Yes':
df_change = df_change.sort_values(by=['percent_change_1h'])
col3.write('*1 hour period*')
plt.figure(figsize=(5,25))
plt.subplots_adjust(top = 1, bottom = 0)
df_change['percent_change_1h'].plot(kind='barh', color=df_change.positive_percent_change_1h.map({True: 'g', False: 'r'}))
col3.pyplot(plt)
if len(selected_coin) !=0:
if sort_values == 'Yes':
df_change = df_change.sort_values(by=['percent_change_1h'])
col3.write('*1 hour period*')
plt.figure(figsize=(5,25))
plt.subplots_adjust(top = 1, bottom = 0)
df_change['percent_change_1h'].plot(kind='barh', color=df_change.positive_percent_change_1h.map({True: 'g', False: 'r'}))
col3.pyplot(plt)
else:
col3.markdown("""
Select some cryptocurrencies to plot.
""")