Don't use class for plotting

This will allow easy usage of the methods from jupter notebooks

scripts/plot_dataframe.py

@@ -21,7 +21,7 @@ import pandas as pd
 from freqtrade.arguments import ARGS_PLOT_DATAFRAME, Arguments
 from freqtrade.data.btanalysis import extract_trades_of_period
 from freqtrade.optimize import setup_configuration
-from freqtrade.plot.plotting import (FTPlots, generate_candlestick_graph,
+from freqtrade.plot.plotting import (init_plotscript, generate_candlestick_graph,
                                      store_plot_file,
                                      generate_plot_filename)
 from freqtrade.state import RunMode
@@ -54,17 +54,18 @@ def analyse_and_plot_pairs(config: Dict[str, Any]):
     -Generate plot files
     :return: None
     """
-    plot = FTPlots(config)
+    plot_elements = init_plotscript(config)
+    trades = plot_elements['trades']
 
     pair_counter = 0
-    for pair, data in plot.tickers.items():
+    for pair, data in plot_elements["tickers"].items():
         pair_counter += 1
         logger.info("analyse pair %s", pair)
         tickers = {}
         tickers[pair] = data
-        dataframe = generate_dataframe(plot.strategy, tickers, pair)
+        dataframe = generate_dataframe(plot_elements["strategy"], tickers, pair)
 
-        trades_pair = plot.trades.loc[plot.trades['pair'] == pair]
+        trades_pair = trades.loc[trades['pair'] == pair]
         trades_pair = extract_trades_of_period(dataframe, trades_pair)
 
         fig = generate_candlestick_graph(

scripts/plot_profit.py

@@ -10,7 +10,7 @@ from typing import Any, Dict, List
 
 from freqtrade.arguments import ARGS_PLOT_PROFIT, Arguments
 from freqtrade.optimize import setup_configuration
-from freqtrade.plot.plotting import FTPlots, generate_profit_graph, store_plot_file
+from freqtrade.plot.plotting import init_plotscript, generate_profit_graph, store_plot_file
 from freqtrade.state import RunMode
 
 logger = logging.getLogger(__name__)
@@ -23,13 +23,14 @@ def plot_profit(config: Dict[str, Any]) -> None:
     But should be somewhat proportional, and therefor useful
     in helping out to find a good algorithm.
     """
-    plot = FTPlots(config)
-
-    trades = plot.trades[plot.trades['pair'].isin(plot.pairs)]
+    plot_elements = init_plotscript(config)
+    trades = plot_elements['trades']
+    # Filter trades to relevant pairs
+    trades = trades[trades['pair'].isin(plot_elements["pairs"])]
 
     # Create an average close price of all the pairs that were involved.
     # this could be useful to gauge the overall market trend
-    fig = generate_profit_graph(plot.pairs, plot.tickers, trades)
+    fig = generate_profit_graph(plot_elements["pairs"], plot_elements["tickers"], trades)
     store_plot_file(fig, filename='freqtrade-profit-plot.html', auto_open=True)