Add some initial tests for plot_dataframe

freqtrade/configuration/arguments.py

@@ -34,10 +34,8 @@ ARGS_CREATE_USERDIR = ["user_data_dir"]
 
 ARGS_DOWNLOAD_DATA = ["pairs", "pairs_file", "days", "exchange", "timeframes", "erase"]
 
-ARGS_PLOT_DATAFRAME = (ARGS_COMMON + ARGS_STRATEGY +
-                       ["pairs", "indicators1", "indicators2", "plot_limit", "db_url",
-                        "trade_source", "export", "exportfilename", "timerange",
-                        "refresh_pairs"])
+ARGS_PLOT_DATAFRAME = ["pairs", "indicators1", "indicators2", "plot_limit", "db_url",
+                       "trade_source", "export", "exportfilename", "timerange", "refresh_pairs"]
 
 ARGS_PLOT_PROFIT = (ARGS_COMMON + ARGS_STRATEGY +
                     ["pairs", "timerange", "export", "exportfilename", "db_url", "trade_source"])

freqtrade/plot/plot_utils.py

@@ -6,7 +6,7 @@ from freqtrade.utils import setup_utils_configuration
 
 def start_plot_dataframe(args: Namespace) -> None:
     """
-    Plotting dataframe
+    Plotting dataframe helper
     """
     # Import here to avoid errors if plot-dependencies are not installed.
     from freqtrade.plot.plotting import analyse_and_plot_pairs

freqtrade/plot/plotting.py

@@ -328,11 +328,11 @@ def analyse_and_plot_pairs(config: Dict[str, Any]):
     """
     From configuration provided
     - Initializes plot-script
-    -Get tickers data
-    -Generate Dafaframes populated with indicators and signals
-    -Load trades excecuted on same periods
-    -Generate Plotly plot objects
-    -Generate plot files
+    - Get tickers data
+    - Generate Dafaframes populated with indicators and signals based on configured strategy
+    - Load trades excecuted during the selected period
+    - Generate Plotly plot objects
+    - Generate plot files
     :return: None
     """
     plot_elements = init_plotscript(config)

freqtrade/tests/test_plotting.py

@@ -9,13 +9,14 @@ from plotly.subplots import make_subplots
 from freqtrade.configuration import TimeRange
 from freqtrade.data import history
 from freqtrade.data.btanalysis import create_cum_profit, load_backtest_data
+from freqtrade.plot.plot_utils import start_plot_dataframe
 from freqtrade.plot.plotting import (add_indicators, add_profit,
                                      generate_candlestick_graph,
                                      generate_plot_filename,
                                      generate_profit_graph, init_plotscript,
                                      plot_trades, store_plot_file)
 from freqtrade.strategy.default_strategy import DefaultStrategy
-from freqtrade.tests.conftest import log_has, log_has_re
+from freqtrade.tests.conftest import get_args, log_has, log_has_re
 
 
 def fig_generating_mock(fig, *args, **kwargs):
@@ -270,3 +271,18 @@ def test_generate_profit_graph():
     for pair in pairs:
         profit_pair = find_trace_in_fig_data(figure.data, f"Profit {pair}")
         assert isinstance(profit_pair, go.Scattergl)
+
+
+def test_start_plot_dataframe(mocker):
+    aup = mocker.patch("freqtrade.plot.plotting.analyse_and_plot_pairs", MagicMock())
+    args = [
+        "--config", "config.json.example",
+        "plot-dataframe",
+        "--pairs", "ETH/BTC"
+    ]
+    start_plot_dataframe(get_args(args))
+
+    assert aup.call_count == 1
+    called_config = aup.call_args_list[0][0][0]
+    assert "pairs" in called_config
+    assert called_config['pairs'] == ["ETH/BTC"]