mirror of
https://github.com/OpenBB-finance/OpenBB.git
synced 2026-11-05 17:01:58 +00:00
9deb06d733
* bug 2548 to fix stocks/gov/topbuys * lets not print the df * stocks/gov/lasttrades help #2547 * #2531 earnings issue * Add a check in contracts that the amounts are more than 0 * Fxiix tests * #2516 * #2516 * #2511 * Break up the estimates into 3 different options * #2532 * mypy fix * pylint fix
123 lines
3.7 KiB
Python
123 lines
3.7 KiB
Python
"""LoanScan view"""
|
|
import logging
|
|
import os
|
|
from typing import List, Optional
|
|
import matplotlib.pyplot as plt
|
|
import pandas as pd
|
|
import numpy as np
|
|
from openbb_terminal.cryptocurrency.overview import loanscan_model
|
|
from openbb_terminal.decorators import log_start_end
|
|
from openbb_terminal.helper_funcs import (
|
|
export_data,
|
|
plot_autoscale,
|
|
print_rich_table,
|
|
is_valid_axes_count,
|
|
)
|
|
from openbb_terminal.rich_config import console
|
|
from openbb_terminal import config_terminal as cfg
|
|
from openbb_terminal.config_plot import PLOT_DPI
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
@log_start_end(log=logger)
|
|
def display_crypto_rates(
|
|
symbols: str,
|
|
platforms: str,
|
|
rate_type: str = "borrow",
|
|
limit: int = 10,
|
|
export: str = "",
|
|
external_axes: Optional[List[plt.Axes]] = None,
|
|
) -> None:
|
|
"""Displays crypto {borrow,supply} interest rates for cryptocurrencies across several platforms
|
|
[Source: https://loanscan.io/]
|
|
|
|
Parameters
|
|
----------
|
|
rate_type: str
|
|
Interest rate type: {borrow, supply}. Default: supply
|
|
symbols: str
|
|
Crypto separated by commas. Default: BTC,ETH,USDT,USDC
|
|
platforms: str
|
|
Platforms separated by commas. Default: BlockFi,Ledn,SwissBorg,Youhodler
|
|
limit: int
|
|
Number of records to show
|
|
export : str
|
|
Export dataframe data to csv,json,xlsx file
|
|
"""
|
|
df = loanscan_model.get_rates(rate_type=rate_type)
|
|
if df.empty:
|
|
console.print("\nError in loanscan request\n")
|
|
else:
|
|
valid_platforms = [
|
|
platform
|
|
for platform in platforms.lower().split(",")
|
|
if platform in df.index
|
|
]
|
|
df = df[symbols.upper().split(",")].loc[valid_platforms]
|
|
df = df.sort_values(df.columns[0], ascending=False, na_position="last")
|
|
|
|
if not external_axes:
|
|
_, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
|
|
elif is_valid_axes_count(external_axes, 1):
|
|
(ax,) = external_axes
|
|
else:
|
|
return
|
|
|
|
df_non_null = pd.melt(df.reset_index(), id_vars=["index"]).dropna()
|
|
|
|
assets = df_non_null.variable.unique().tolist()
|
|
colors = iter(cfg.theme.get_colors(reverse=True))
|
|
|
|
for asset in assets:
|
|
|
|
width = df_non_null.loc[(df_non_null.variable == asset)]
|
|
# silence Setcopywarnings
|
|
pd.options.mode.chained_assignment = None
|
|
width["id"] = width["index"] + width["variable"]
|
|
|
|
ax.barh(
|
|
y=width["id"],
|
|
width=width.value * 100,
|
|
label=asset,
|
|
height=0.5,
|
|
color=next(colors),
|
|
)
|
|
|
|
ylabels = df_non_null["index"].values.tolist()
|
|
ax.set_yticks(np.arange(len(ylabels)))
|
|
ax.set_yticklabels(ylabels)
|
|
|
|
ax.set_xlabel("Rate (%)")
|
|
ax.set_ylabel("Platform")
|
|
ax.set_title(f"Cryptos {rate_type} interest rate")
|
|
cfg.theme.style_primary_axis(ax)
|
|
ax.tick_params(axis="y", labelsize=8)
|
|
|
|
ax.yaxis.set_label_position("left")
|
|
ax.yaxis.set_ticks_position("left")
|
|
|
|
handles, labels = ax.get_legend_handles_labels()
|
|
ax.legend(handles[::-1], labels[::-1], loc="best")
|
|
|
|
if not external_axes:
|
|
cfg.theme.visualize_output()
|
|
|
|
df = df.fillna("-")
|
|
df = df.applymap(lambda x: str(round(100 * x, 2)) + "%" if x != "-" else x)
|
|
|
|
print_rich_table(
|
|
df.head(limit),
|
|
headers=list(df.columns),
|
|
index_name="Platform",
|
|
show_index=True,
|
|
title=f"Crypto {rate_type.capitalize()} Interest Rates",
|
|
)
|
|
|
|
export_data(
|
|
export,
|
|
os.path.dirname(os.path.abspath(__file__)),
|
|
"cr",
|
|
df,
|
|
)
|