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TERRANFT.py
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TERRANFT.py
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import streamlit as st
import plotly
import plotly.express as px
import pandas as pd
import json
st.title("MEGA TERRA NFT")
df = pd.read_json("https://api.flipsidecrypto.com/api/v2/queries/39fcd840-cbc6-4ca1-bb48-833f806ec845/data/latest",
convert_dates=["TIMESTAMP_NTZ"],
)
#-------------------------------------------------------
st.dataframe(df)
st.markdown("""
TX COUNT by PROJECT
""")
df = px.bar(
df, #this is the dataframe you are trying to plot
x = "DAY",
y = "TXN_COUNT",
color = "COL_NAME",
orientation = "v",
template = "plotly_white",
width = 1000,
height = 600
)
st.plotly_chart(df)
df = pd.read_json("https://api.flipsidecrypto.com/api/v2/queries/39fcd840-cbc6-4ca1-bb48-833f806ec845/data/latest",
convert_dates=["TIMESTAMP_NTZ"],
)
#-------------------------------------------------------
st.markdown("""
DAILY LUNA VOLUME BY PROJECT
""")
df = px.bar(
df, #this is the dataframe you are trying to plot
x = "DAY",
y = "TXN_VOLUME",
color = "COL_NAME",
orientation = "v",
template = "plotly_white",
width = 1000,
height = 600
)
st.plotly_chart(df)
df = pd.read_json("https://api.flipsidecrypto.com/api/v2/queries/39fcd840-cbc6-4ca1-bb48-833f806ec845/data/latest",
convert_dates=["TIMESTAMP_NTZ"],
)
#-------------------------------------------------------
st.markdown("""
DAILY LUNA VOLUME BY PLATFORM
""")
df = px.bar(
df, #this is the dataframe you are trying to plot
x = "DAY",
y = "TXN_VOLUME",
color = "PLATFORM",
orientation = "v",
template = "plotly_white",
width = 1000,
height = 600
)
st.plotly_chart(df)
df = pd.read_json("https://api.flipsidecrypto.com/api/v2/queries/39fcd840-cbc6-4ca1-bb48-833f806ec845/data/latest",
convert_dates=["TIMESTAMP_NTZ"],
)
#-------------------------------------------------------
st.markdown("""
DAILY TX COUNT BY PLATFORM
""")
df = px.bar(
df, #this is the dataframe you are trying to plot
x = "DAY",
y = "TXN_COUNT",
color = "PLATFORM",
orientation = "v",
template = "plotly_white",
width = 1000,
height = 600
)
st.plotly_chart(df)
st.markdown("""
CHOOSE YOUR OWN ADVENTURE!!
""")
df = pd.read_json("https://api.flipsidecrypto.com/api/v2/queries/39fcd840-cbc6-4ca1-bb48-833f806ec845/data/latest",
convert_dates=["TIMESTAMP_NTZ"],
)
my_slider_val = st.slider('slider is project rank', 1, 96)
st.write(my_slider_val)
df_new = df[df["PROJECT_RANK"] == my_slider_val]
linechart = px.scatter(
df_new,
x="DAY",
y=["TXN_VOLUME"],
color="COL_NAME",
orientation = "v",
template = "plotly_white",
width = 1000,
height = 600
)
st.plotly_chart(linechart, use_container_width=False)
linechart = px.scatter(
df_new,
x="DAY",
y=["TXN_COUNT"],
color="COL_NAME",
orientation = "v",
template = "plotly_white",
width = 1000,
height = 600
)
st.plotly_chart(linechart, use_container_width=False)
df = pd.read_json("https://api.flipsidecrypto.com/api/v2/queries/8a793b94-dfc4-4673-8ea6-0dd69bde9f06/data/latest",
convert_dates=["TIMESTAMP_NTZ"],
)
#-------------------------------------------------------
st.markdown("""
IT ALL COMES BACK TO THE LUNA PRICE
""")
df = px.bar(
df, #this is the dataframe you are trying to plot
x = "DATE",
y = "LUNA_PRICE",
# color = "COL_NAME",
orientation = "v",
template = "plotly_white",
width = 1000,
height = 600
)
# ,"TXN_VOLUME"]
st.plotly_chart(df)