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Add better hover tip

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This commit is contained in:
Matthias 2019-05-29 07:19:21 +02:00
parent e0a1e5417f
commit b1a01345f9
2 changed files with 14 additions and 7 deletions
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19
freqtrade/plot/plotting.py
View File

@ -1,6 +1,7 @@
import logging
from typing import List
import arrow
import pandas as pd
logger = logging.getLogger(__name__)
@ -12,7 +13,7 @@ try:
import plotly.graph_objs as go
except ImportError:
logger.exception("Module plotly not found \n Please install using `pip install plotly`")
exit()
exit(1)
def generate_row(fig, row, indicators: List[str], data: pd.DataFrame) -> tools.make_subplots:
@ -25,9 +26,10 @@ def generate_row(fig, row, indicators: List[str], data: pd.DataFrame) -> tools.m
"""
for indicator in indicators:
if indicator in data:
scattergl = go.Scattergl(
# TODO: Figure out why scattergl causes problems
scattergl = go.Scatter(
x=data['date'],
y=data[indicator],
y=data[indicator].values,
mode='lines',
name=indicator
)
@ -60,9 +62,14 @@ def plot_trades(fig, trades: pd.DataFrame):
color='green'
)
)
# Create description for sell summarizing the trade
desc = trades.apply(lambda row: f"{round(row['profitperc'], 3)}%, {row['sell_reason']}, "
f"{row['duration']}min",
axis=1)
trade_sells = go.Scatter(
x=trades["close_time"],
y=trades["close_rate"],
text=desc,
mode='markers',
name='trade_sell',
marker=dict(
@ -123,7 +130,7 @@ def generate_graph(
if 'buy' in data.columns:
df_buy = data[data['buy'] == 1]
if len(df_buy) > 0:
buys = go.Scattergl(
buys = go.Scatter(
x=df_buy.date,
y=df_buy.close,
mode='markers',
@ -142,7 +149,7 @@ def generate_graph(
if 'sell' in data.columns:
df_sell = data[data['sell'] == 1]
if len(df_sell) > 0:
sells = go.Scattergl(
sells = go.Scatter(
x=df_sell.date,
y=df_sell.close,
mode='markers',

2
scripts/plot_dataframe.py
View File

@ -216,7 +216,7 @@ def analyse_and_plot_pairs(args: Namespace):
tickers[pair] = data
dataframe = generate_dataframe(strategy, tickers, pair)
trades = load_trades(pair, db_url=args.db_url,
trades = load_trades(db_url=args.db_url,
exportfilename=args.exportfilename)
trades = trades.loc[trades['pair'] == pair]
trades = extract_trades_of_period(dataframe, trades)