From 24aa7961d83ce9ff7ad1784cd3ddf977235e09d1 Mon Sep 17 00:00:00 2001
From: alvarob96 <alvarob96@usal.es>
Date: Fri, 12 Apr 2019 16:30:58 +0200
Subject: [PATCH] ohlc formatted

---
 .idea/workspace.xml  | 1249 +++++++++++++++++-------------------------
 investpy/Data.py     |   46 +-
 investpy/__init__.py |   37 +-
 3 files changed, 537 insertions(+), 795 deletions(-)

diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index c90c4689..80e8dc1c 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -2,51 +2,50 @@
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       <find>Nyesa Valores Corp</find>
       <find>013</find>
+      <find>Max</find>
+      <find>max</find>
+      <find>Min</find>
+      <find>smlID</find>
+      <find>Data</find>
+      <find>Data(</find>
+      <find>Data(stock_date, stock_open, stock_high, stock_low, stock_close</find>
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       <replace>datetime.datetime.strptime(info[0].replace('.', '-'), '%d-%m-%Y')</replace>
+      <replace>high</replace>
+      <replace>High</replace>
+      <replace>low</replace>
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             <element signature="e#45799#45967#0" />
             <element signature="e#46072#46230#0" />
@@ -1326,15 +1079,5 @@
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/setup.py">
-      <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="480">
-          <caret line="20" column="44" selection-start-line="20" selection-start-column="44" selection-end-line="20" selection-end-column="44" />
-          <folding>
-            <element signature="e#23#66#0" expanded="true" />
-          </folding>
-        </state>
-      </provider>
-    </entry>
   </component>
 </project>
\ No newline at end of file
diff --git a/investpy/Data.py b/investpy/Data.py
index 290e3b6d..a3820c21 100644
--- a/investpy/Data.py
+++ b/investpy/Data.py
@@ -9,7 +9,7 @@ class Data(object):
     ----------
     date_: str
         a string that stores the date in dd/mm/yyyy format
-    close_, open_, max_, min_: float
+    open_, high_, low_, close_: float
         all the prices of an equity, fund or etf from the selected date
     volume_: long
         all the stocks sold on the selected date
@@ -26,63 +26,63 @@ class Data(object):
         converts the fund object into a JSON object
     """
 
-    def __init__(self, date_, close_, open_, max_, min_, volume_):
+    def __init__(self, date_, open_, high_, low_, close_, volume_):
         self.date = date_
-        self.close = close_
         self.open = open_
-        self.max = max_
-        self.min = min_
+        self.high = high_
+        self.low = low_
+        self.close = close_
         self.volume = volume_
 
     def equity_to_dict(self):
         return {
             'Date': self.date,
-            'Close': self.close,
             'Open': self.open,
-            'Max': self.max,
-            'Min': self.min,
+            'High': self.high,
+            'Low': self.low,
+            'Close': self.close,
             'Volume': self.volume,
         }
 
     def equity_as_json(self):
         return {self.date.strftime('%d/%m/%Y'): {
-            'Close': self.close,
             'Open': self.open,
-            'Max': self.max,
-            'Min': self.min,
+            'High': self.high,
+            'Low': self.low,
+            'Close': self.close,
             'Volume': self.volume,
         }}
 
     def fund_to_dict(self):
         return {
             'Date': self.date,
-            'Close': self.close,
             'Open': self.open,
-            'Max': self.max,
-            'Min': self.min,
+            'High': self.high,
+            'Low': self.low,
+            'Close': self.close,
         }
 
     def fund_as_json(self):
         return {self.date.strftime('%d/%m/%Y'): {
-            'Close': self.close,
             'Open': self.open,
-            'Max': self.max,
-            'Min': self.min,
+            'High': self.high,
+            'Low': self.low,
+            'Close': self.close,
         }}
 
     def etf_to_dict(self):
         return {
             'Date': self.date,
-            'Close': self.close,
             'Open': self.open,
-            'Max': self.max,
-            'Min': self.min,
+            'High': self.high,
+            'Low': self.low,
+            'Close': self.close,
         }
 
     def etf_as_json(self):
         return {self.date.strftime('%d/%m/%Y'): {
-            'Close': self.close,
             'Open': self.open,
-            'Max': self.max,
-            'Min': self.min,
+            'High': self.high,
+            'Low': self.low,
+            'Close': self.close,
         }}
diff --git a/investpy/__init__.py b/investpy/__init__.py
index 321ecd2d..ebf6d4f3 100644
--- a/investpy/__init__.py
+++ b/investpy/__init__.py
@@ -93,8 +93,8 @@ def get_recent_data(equity, as_json=False, order='ascending'):
                     stock_date = datetime.datetime.strptime(info[0].replace('.', '-'), '%d-%m-%Y')
                     stock_close = float(info[1].replace(',', '.'))
                     stock_open = float(info[2].replace(',', '.'))
-                    stock_max = float(info[3].replace(',', '.'))
-                    stock_min = float(info[4].replace(',', '.'))
+                    stock_high = float(info[3].replace(',', '.'))
+                    stock_low = float(info[4].replace(',', '.'))
                     stock_volume = 0
 
                     if info[5].__contains__('K'):
@@ -104,7 +104,7 @@ def get_recent_data(equity, as_json=False, order='ascending'):
                     elif info[5].__contains__('B'):
                         stock_volume = int(float(info[5].replace('B', '').replace(',', '.')) * 1000000000)
 
-                    result.insert(len(result), Data(stock_date, stock_close, stock_open, stock_max, stock_min, stock_volume,))
+                    result.insert(len(result), Data(stock_date, stock_open, stock_high, stock_low, stock_close, stock_volume,))
 
                 if order == 'ascending':
                     result = result[::-1]
@@ -244,8 +244,8 @@ def get_historical_data(equity, start, end, as_json=False, order='ascending'):
                     stock_date = datetime.datetime.strptime(info[0].replace('.', '-'), '%d-%m-%Y')
                     stock_close = float(info[1].replace(',', '.'))
                     stock_open = float(info[2].replace(',', '.'))
-                    stock_max = float(info[3].replace(',', '.'))
-                    stock_min = float(info[4].replace(',', '.'))
+                    stock_high = float(info[3].replace(',', '.'))
+                    stock_low = float(info[4].replace(',', '.'))
                     stock_volume = 0
 
                     if info[5].__contains__('K'):
@@ -255,7 +255,7 @@ def get_historical_data(equity, start, end, as_json=False, order='ascending'):
                     elif info[5].__contains__('B'):
                         stock_volume = int(float(info[5].replace('B', '').replace(',', '.')) * 1000000000)
 
-                    result.insert(len(result), Data(stock_date, stock_close, stock_open, stock_max, stock_min, stock_volume,))
+                    result.insert(len(result), Data(stock_date, stock_open, stock_high, stock_low, stock_close, stock_volume,))
 
                 if order == 'ascending':
                     result = result[::-1]
@@ -427,10 +427,10 @@ def get_fund_recent_data(fund, as_json=False, order='ascending'):
                     stock_date = datetime.datetime.strptime(info[0].replace('.', '-'), '%d-%m-%Y')
                     stock_close = float(info[1].replace(',', '.'))
                     stock_open = float(info[2].replace(',', '.'))
-                    stock_max = float(info[3].replace(',', '.'))
-                    stock_min = float(info[4].replace(',', '.'))
+                    stock_high = float(info[3].replace(',', '.'))
+                    stock_low = float(info[4].replace(',', '.'))
 
-                    result.insert(len(result), Data(stock_date, stock_close, stock_open, stock_max, stock_min, None,))
+                    result.insert(len(result), Data(stock_date, stock_open, stock_high, stock_low, stock_close, None,))
 
                 if order == 'ascending':
                     result = result[::-1]
@@ -559,10 +559,10 @@ def get_fund_historical_data(fund, start, end, as_json=False, order='ascending')
                     stock_date = datetime.datetime.strptime(info[0].replace('.', '-'), '%d-%m-%Y')
                     stock_close = float(info[1].replace(',', '.'))
                     stock_open = float(info[2].replace(',', '.'))
-                    stock_max = float(info[3].replace(',', '.'))
-                    stock_min = float(info[4].replace(',', '.'))
+                    stock_high = float(info[3].replace(',', '.'))
+                    stock_low = float(info[4].replace(',', '.'))
 
-                    result.insert(len(result), Data(stock_date, stock_close, stock_open, stock_max, stock_min, None,))
+                    result.insert(len(result), Data(stock_date, stock_open, stock_high, stock_low, stock_close, None,))
 
                 if order == 'ascending':
                     result = result[::-1]
@@ -745,7 +745,6 @@ def get_etf_recent_data(etf, as_json=False, order='ascending'):
         :returns pandas.DataFrame (or JSON object if specified)
             returns a pandas DataFrame (or JSON object if specified) containing the recent data of the etf
         """
-
     if not isinstance(as_json, bool):
         raise ValueError("ERR#002: as_json argument can just be True or False, bool type."
                          "\n\t\t\tPlease check you are passing the parameters correctly or contact package admin: alvarob96@usal.es"
@@ -800,10 +799,10 @@ def get_etf_recent_data(etf, as_json=False, order='ascending'):
                     stock_date = datetime.datetime.strptime(info[0].replace('.', '-'), '%d-%m-%Y')
                     stock_close = float(info[1].replace(',', '.'))
                     stock_open = float(info[2].replace(',', '.'))
-                    stock_max = float(info[3].replace(',', '.'))
-                    stock_min = float(info[4].replace(',', '.'))
+                    stock_high = float(info[3].replace(',', '.'))
+                    stock_low = float(info[4].replace(',', '.'))
 
-                    result.insert(len(result), Data(stock_date, stock_close, stock_open, stock_max, stock_min, None, ))
+                    result.insert(len(result), Data(stock_date, stock_open, stock_high, stock_low, stock_close, None,))
 
                 if order == 'ascending':
                     result = result[::-1]
@@ -932,10 +931,10 @@ def get_etf_historical_data(etf, start, end, as_json=False, order='ascending'):
                     stock_date = datetime.datetime.strptime(info[0].replace('.', '-'), '%d-%m-%Y')
                     stock_close = float(info[1].replace(',', '.'))
                     stock_open = float(info[2].replace(',', '.'))
-                    stock_max = float(info[3].replace(',', '.'))
-                    stock_min = float(info[4].replace(',', '.'))
+                    stock_high = float(info[3].replace(',', '.'))
+                    stock_low = float(info[4].replace(',', '.'))
 
-                    result.insert(len(result), Data(stock_date, stock_close, stock_open, stock_max, stock_min, None,))
+                    result.insert(len(result), Data(stock_date, stock_open, stock_high, stock_low, stock_close, None,))
 
                 if order == 'ascending':
                     result = result[::-1]