Fix Plot dataframe and plot profit

freqtrade/optimize/backtesting.py

@@ -202,8 +202,8 @@ class Backtesting(object):
                         # record a tuple of pair, current_profit_percent,
                         # entry-date, duration
                         records.append((pair, trade_entry[1],
-                                        row.date.strftime('%s'),
-                                        row2.date.strftime('%s'),
+                                        str(int(row.date.timestamp())),
+                                        str(int(row2.date.timestamp())),
                                         index, trade_entry[3]))
         # For now export inside backtest(), maybe change so that backtest()
         # returns a tuple like: (dataframe, records, logs, etc)

scripts/plot_dataframe.py

@@ -27,11 +27,7 @@ from freqtrade import exchange
 import freqtrade.optimize as optimize
 
 
-<<<<<<< HEAD
-logger = logging.getLogger('freqtrade')
-=======
 logger = logging.getLogger(__name__)
->>>>>>> bddf009a2b6d0e1a19cca558887ce972e99a6238
 
 
 def plot_analyzed_dataframe(args: Namespace) -> None:
@@ -87,7 +83,7 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
     )
 
     df_buy = data[data['buy'] == 1]
-    buys = go.Scattergl(
+    buys = go.Scatter(
         x=df_buy.date,
         y=df_buy.close,
         mode='markers',
@@ -100,7 +96,7 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
         )
     )
     df_sell = data[data['sell'] == 1]
-    sells = go.Scattergl(
+    sells = go.Scatter(
         x=df_sell.date,
         y=df_sell.close,
         mode='markers',

scripts/plot_profit.py

@@ -24,7 +24,7 @@ import plotly.graph_objs as go
 from freqtrade.arguments import Arguments
 from freqtrade.configuration import Configuration
 from freqtrade.analyze import Analyze
-from freqtradeimport constants
+from freqtrade import constants
 
 
 import freqtrade.optimize as optimize
@@ -158,13 +158,13 @@ def plot_profit(args: Namespace) -> None:
     # Plot the pairs average close prices, and total profit growth
     #
 
-    avgclose = go.Scattergl(
+    avgclose = go.Scatter(
         x=dates,
         y=avgclose,
         name='Avg close price',
     )
 
-    profit = go.Scattergl(
+    profit = go.Scatter(
         x=dates,
         y=pg,
         name='Profit',
@@ -177,7 +177,7 @@ def plot_profit(args: Namespace) -> None:
 
     for pair in pairs:
         pg = make_profit_array(data, num_iterations, min_date, tick_interval, pair)
-        pair_profit = go.Scattergl(
+        pair_profit = go.Scatter(
             x=dates,
             y=pg,
             name=pair,