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pspmiddec.py
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pspmiddec.py
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import streamlit as st
import plotly
import plotly.express as px
import pandas as pd
import json
st.title("PSP ETH mid december")
query_id = "a8a3db40-176d-45a0-9cc1-342657888efe"
df = pd.read_json(
f"https://api.flipsidecrypto.com/api/v2/queries/{query_id}/data/latest",
convert_dates=["TIMESTAMP_NTZ"],
)
t_f = False
st.sidebar.write("Choose y-axis scale")
check = st.sidebar.checkbox("Linear/Log")
if check:
t_f = True
#-------------------------------------------------------
st.markdown("""
PSP daily interactions
""")
df = px.bar(
df, #this is the dataframe you are trying to plot
x = "DATE",
y = "N_ACTIVE_ADDRESSES",
orientation = "v",
# color = "TO_ADDRESS_NAME",
template = "plotly_white",
width = 1000,
height = 600,
log_y = t_f
)
st.plotly_chart(df)
query_id = "35b81a08-13c3-4d76-93f6-4c1223212cfb"
df = pd.read_json(
f"https://api.flipsidecrypto.com/api/v2/queries/{query_id}/data/latest",
convert_dates=["TIMESTAMP_NTZ"],
)
st.markdown("""
Para weekly vol""")
df = px.bar(
df, #this is the dataframe you are trying to plot
x = "DAYZ",
y = "TRANSACTIONS",
orientation = "v",
color = "PLATFORM",
template = "plotly_white",
width = 1000,
height = 600,
log_y = t_f
)
st.plotly_chart(df)
query_id = "35b81a08-13c3-4d76-93f6-4c1223212cfb"
df = pd.read_json(
f"https://api.flipsidecrypto.com/api/v2/queries/{query_id}/data/latest",
convert_dates=["TIMESTAMP_NTZ"],
)
st.markdown("""
Para weekly vol-pool_name""")
df = px.bar(
df, #this is the dataframe you are trying to plot
x = "DAYZ",
y = "USD_VOL",
orientation = "v",
color = "POOL_NAME",
template = "plotly_white",
width = 1000,
height = 600,
log_y = t_f
)
st.plotly_chart(df)
# query_id = "35b81a08-13c3-4d76-93f6-4c1223212cfb"
# df = pd.read_json(
# f"https://api.flipsidecrypto.com/api/v2/queries/{query_id}/data/latest",
# convert_dates=["TIMESTAMP_NTZ"],
# )
# st.markdown("""
# Para weekly vol-platform""")
# df = px.bar(
# df, #this is the dataframe you are trying to plot
# x = "DAYZ",
# y = "USD_VOL",
# orientation = "v",
# color = "POOL_NAME",
# template = "plotly_white",
# width = 1000,
# height = 600,
# log_y = t_f
# )
# st.plotly_chart(df)
query_id = "c6898f55-e472-4d32-92b4-164d2924e989"
df = pd.read_json(
f"https://api.flipsidecrypto.com/api/v2/queries/{query_id}/data/latest",
convert_dates=["TIMESTAMP_NTZ"],
)
st.markdown("""
PSP CLAIMZ
""")
df = px.scatter(
df, #this is the dataframe you are trying to plot
x = "DAYZ",
y = "CLAIMZ",
orientation = "v",
# color = "TO_ADDRESS_NAME",
template = "plotly_white",
width = 1000,
height = 600,
log_y = t_f
)
st.plotly_chart(df)
query_id = "87104b96-4852-4e27-9d32-52e300b9a7d5"
df = pd.read_json(
f"https://api.flipsidecrypto.com/api/v2/queries/{query_id}/data/latest",
convert_dates=["TIMESTAMP_NTZ"],
)
st.markdown("""
txs by event, PSP""")
df = px.bar(
df, #this is the dataframe you are trying to plot
x = "DAYZ",
y = "TXS",
orientation = "v",
color = "EVENT_NAME",
template = "plotly_white",
width = 1000,
height = 600,
log_y = t_f
)
st.plotly_chart(df)
# query_id = "2ca64776-431b-42ff-b0e6-7f324b4aed35"
# df = pd.read_json(
# f"https://api.flipsidecrypto.com/api/v2/queries/{query_id}/data/latest",
# convert_dates=["TIMESTAMP_NTZ"],
# )
# df = px.bar(
# df, #this is the dataframe you are trying to plot
# x = "HOURZ",
# y = "WETH",
# orientation = "v",
# # color = "TO_ADDRESS_NAME",
# template = "plotly_white",
# width = 1000,
# height = 600,
# log_y = t_f
# )
# st.plotly_chart(df)