Auto commit

c6ddfbe2 · 642d16790b07e8418c60567c · 53441465 · 53441465 · c6ddfbe2 · c6ddfbe2
17 changed file
--- a/data/highs_lows.py
+++ b/data/highs_lows.py
-import csv
-filename = 'sitka_weather_07-2014.csv'
-with open(filename) as f:
-    reader = csv.reader(f)
-    header_row = next(reader)
-    print(header_row)
\ No newline at end of file
--- a/matplotlib_dataScience/Ipynb_importer.py
+++ b/matplotlib_dataScience/Ipynb_importer.py
+#!/usr/bin/env python
+# coding: utf-8
+# In[ ]:
+import io, os,sys,types
+from IPython import get_ipython
+from nbformat import read
+from IPython.core.interactiveshell import InteractiveShell
+class NotebookFinder(object):
+    """Module finder that locates Jupyter Notebooks"""
+    def __init__(self):
+        self.loaders = {}
+    def find_module(self, fullname, path=None):
+        nb_path = find_notebook(fullname, path)
+        if not nb_path:
+            return
+        key = path
+        if path:
+            # lists aren't hashable
+            key = os.path.sep.join(path)
+        if key not in self.loaders:
+            self.loaders[key] = NotebookLoader(path)
+        return self.loaders[key]
+def find_notebook(fullname, path=None):
+    """find a notebook, given its fully qualified name and an optional path
+    This turns "foo.bar" into "foo/bar.ipynb"
+    and tries turning "Foo_Bar" into "Foo Bar" if Foo_Bar
+    does not exist.
+    """
+    name = fullname.rsplit('.', 1)[-1]
+    if not path:
+        path = ['']
+    for d in path:
+        nb_path = os.path.join(d, name + ".ipynb")
+        if os.path.isfile(nb_path):
+            return nb_path
+        # let import Notebook_Name find "Notebook Name.ipynb"
+        nb_path = nb_path.replace("_", " ")
+        if os.path.isfile(nb_path):
+            return nb_path
+class NotebookLoader(object):
+    """Module Loader for Jupyter Notebooks"""
+    def __init__(self, path=None):
+        self.shell = InteractiveShell.instance()
+        self.path = path
+    def load_module(self, fullname):
+        """import a notebook as a module"""
+        path = find_notebook(fullname, self.path)
+        print ("importing Jupyter notebook from %s" % path)
+        # load the notebook object
+        with io.open(path, 'r', encoding='utf-8') as f:
+            nb = read(f, 4)
+        # create the module and add it to sys.modules
+        # if name in sys.modules:
+        #    return sys.modules[name]
+        mod = types.ModuleType(fullname)
+        mod.__file__ = path
+        mod.__loader__ = self
+        mod.__dict__['get_ipython'] = get_ipython
+        sys.modules[fullname] = mod
+        # extra work to ensure that magics that would affect the user_ns
+        # actually affect the notebook module's ns
+        save_user_ns = self.shell.user_ns
+        self.shell.user_ns = mod.__dict__
+        try:
+          for cell in nb.cells:
+            if cell.cell_type == 'code':
+                # transform the input to executable Python
+                code = self.shell.input_transformer_manager.transform_cell(cell.source)
+                # run the code in themodule
+                exec(code, mod.__dict__)
+        finally:
+            self.shell.user_ns = save_user_ns
+        return mod
+sys.meta_path.append(NotebookFinder())
--- a/matplotlib_dataScience/btc_close_2017.ipynb
+++ b/matplotlib_dataScience/btc_close_2017.ipynb
--- a/matplotlib_dataScience/btc_close_2017.json
+++ b/matplotlib_dataScience/btc_close_2017.json
--- a/matplotlib_dataScience/btc_close_2017_request.json
+++ b/matplotlib_dataScience/btc_close_2017_request.json
--- a/matplotlib_dataScience/btc_close_2017_urllib.json
+++ b/matplotlib_dataScience/btc_close_2017_urllib.json
--- a/matplotlib_dataScience/death_valley_2014.csv
+++ b/matplotlib_dataScience/death_valley_2014.csv
--- a/matplotlib_dataScience/highs_lows.ipynb
+++ b/matplotlib_dataScience/highs_lows.ipynb
--- a/data/sitka_weather_07-2014.csv
+++ b/data/sitka_weather_07-2014.csv
--- a/matplotlib_dataScience/sitka_weather_2014.csv
+++ b/matplotlib_dataScience/sitka_weather_2014.csv
--- a/matplotlib_dataScience/收盘价Dashboard.html
+++ b/matplotlib_dataScience/收盘价Dashboard.html
+<html><head><title>收盘价Dashboard</title><metacharset="utf-8"></head><body>
+    <object type="image/svg+xml" data="收盘价折线图（￥）.svg"height=500></object>
+    <object type="image/svg+xml" data="收盘价对数变换折线图（￥）.svg"height=500></object>
+    <object type="image/svg+xml" data="收盘价月日均值 （￥） .svg"height=500></object>
+    <object type="image/svg+xml" data="收盘价周日均值（￥） .svg"height=500></object>
+    <object type="image/svg+xml" data="收盘价星期均值（￥） .svg"height=500></object>
+</body></html>
\ No newline at end of file
--- a/matplotlib_dataScience/收盘价周日均值（￥） .svg
+++ b/matplotlib_dataScience/收盘价周日均值（￥） .svg
--- a/matplotlib_dataScience/收盘价对数变换折线图（￥）.svg
+++ b/matplotlib_dataScience/收盘价对数变换折线图（￥）.svg
--- a/matplotlib_dataScience/收盘价折线图（￥）.svg
+++ b/matplotlib_dataScience/收盘价折线图（￥）.svg
--- a/matplotlib_dataScience/收盘价星期均值（￥） .svg
+++ b/matplotlib_dataScience/收盘价星期均值（￥） .svg
--- a/matplotlib_dataScience/收盘价星期均值（￥）.svg
+++ b/matplotlib_dataScience/收盘价星期均值（￥）.svg
--- a/matplotlib_dataScience/收盘价月日均值（￥） .svg
+++ b/matplotlib_dataScience/收盘价月日均值（￥） .svg