move plot_dataframe to scripts/ folder

.coveragerc

@@ -1,4 +1,5 @@
 [run]
 omit =
+    scripts/*
     freqtrade/tests/*
     freqtrade/vendor/*

freqtrade/analyze.py

@@ -1,13 +1,11 @@
 import logging
-import time
 from datetime import timedelta
 
 import arrow
 import talib.abstract as ta
 from pandas import DataFrame, to_datetime
 
-from freqtrade import exchange
-from freqtrade.exchange import Bittrex, get_ticker_history
+from freqtrade.exchange import get_ticker_history
 from freqtrade.vendor.qtpylib.indicators import awesome_oscillator
 
 logging.basicConfig(level=logging.DEBUG,
@@ -115,53 +113,3 @@ def get_buy_signal(pair: str) -> bool:
     signal = latest['buy'] == 1
     logger.debug('buy_trigger: %s (pair=%s, signal=%s)', latest['date'], pair, signal)
     return signal
-
-
-def plot_analyzed_dataframe(pair: str) -> None:
-    """
-    Calls analyze() and plots the returned dataframe
-    :param pair: pair as str
-    :return: None
-    """
-    import matplotlib
-    matplotlib.use("Qt5Agg")
-    import matplotlib.pyplot as plt
-
-    # Init Bittrex to use public API
-    exchange._API = Bittrex({'key': '', 'secret': ''})
-    dataframe = analyze_ticker(pair)
-
-    # Two subplots sharing x axis
-    fig, (ax1, ax2, ax3) = plt.subplots(3, sharex=True)
-    fig.suptitle(pair, fontsize=14, fontweight='bold')
-    ax1.plot(dataframe.index.values, dataframe['close'], label='close')
-    # ax1.plot(dataframe.index.values, dataframe['sell'], 'ro', label='sell')
-    ax1.plot(dataframe.index.values, dataframe['sma'], '--', label='SMA')
-    ax1.plot(dataframe.index.values, dataframe['tema'], ':', label='TEMA')
-    ax1.plot(dataframe.index.values, dataframe['blower'], '-.', label='BB low')
-    ax1.plot(dataframe.index.values, dataframe['buy_price'], 'bo', label='buy')
-    ax1.legend()
-
-    ax2.plot(dataframe.index.values, dataframe['adx'], label='ADX')
-    ax2.plot(dataframe.index.values, dataframe['mfi'], label='MFI')
-    # ax2.plot(dataframe.index.values, [25] * len(dataframe.index.values))
-    ax2.legend()
-
-    ax3.plot(dataframe.index.values, dataframe['fastk'], label='k')
-    ax3.plot(dataframe.index.values, dataframe['fastd'], label='d')
-    ax3.plot(dataframe.index.values, [20] * len(dataframe.index.values))
-    ax3.legend()
-
-    # Fine-tune figure; make subplots close to each other and hide x ticks for
-    # all but bottom plot.
-    fig.subplots_adjust(hspace=0)
-    plt.setp([a.get_xticklabels() for a in fig.axes[:-1]], visible=False)
-    plt.show()
-
-
-if __name__ == '__main__':
-    # Install PYQT5==5.9 manually if you want to test this helper function
-    while True:
-        for p in ['BTC_ANT', 'BTC_ETH', 'BTC_GNT', 'BTC_ETC']:
-            plot_analyzed_dataframe(p)
-        time.sleep(60)

scripts/plot_dataframe.py

@@ -0,0 +1,51 @@
+#!/usr/bin/env python3
+
+import matplotlib  # Install PYQT5 manually if you want to test this helper function
+matplotlib.use("Qt5Agg")
+import matplotlib.pyplot as plt
+
+from freqtrade import exchange, analyze
+
+
+def plot_analyzed_dataframe(pair: str) -> None:
+    """
+    Calls analyze() and plots the returned dataframe
+    :param pair: pair as str
+    :return: None
+    """
+
+    # Init Bittrex to use public API
+    exchange._API = exchange.Bittrex({'key': '', 'secret': ''})
+    dataframe = analyze.analyze_ticker(pair)
+
+    # Two subplots sharing x axis
+    fig, (ax1, ax2, ax3) = plt.subplots(3, sharex=True)
+    fig.suptitle(pair, fontsize=14, fontweight='bold')
+    ax1.plot(dataframe.index.values, dataframe['close'], label='close')
+    # ax1.plot(dataframe.index.values, dataframe['sell'], 'ro', label='sell')
+    ax1.plot(dataframe.index.values, dataframe['sma'], '--', label='SMA')
+    ax1.plot(dataframe.index.values, dataframe['tema'], ':', label='TEMA')
+    ax1.plot(dataframe.index.values, dataframe['blower'], '-.', label='BB low')
+    ax1.plot(dataframe.index.values, dataframe['buy_price'], 'bo', label='buy')
+    ax1.legend()
+
+    ax2.plot(dataframe.index.values, dataframe['adx'], label='ADX')
+    ax2.plot(dataframe.index.values, dataframe['mfi'], label='MFI')
+    # ax2.plot(dataframe.index.values, [25] * len(dataframe.index.values))
+    ax2.legend()
+
+    ax3.plot(dataframe.index.values, dataframe['fastk'], label='k')
+    ax3.plot(dataframe.index.values, dataframe['fastd'], label='d')
+    ax3.plot(dataframe.index.values, [20] * len(dataframe.index.values))
+    ax3.legend()
+
+    # Fine-tune figure; make subplots close to each other and hide x ticks for
+    # all but bottom plot.
+    fig.subplots_adjust(hspace=0)
+    plt.setp([a.get_xticklabels() for a in fig.axes[:-1]], visible=False)
+    plt.show()
+
+
+if __name__ == '__main__':
+    plot_analyzed_dataframe('BTC_ETH')
+