qcaudron / pydata_pandas Goto Github PK

A PyData workshop on pandas

License: MIT License

Jupyter Notebook 100.00%

pydata_pandas's Introduction

Introduction to data analytics with pandas

A workshop for PyData Seattle, July 2017

There are two notebooks here : the exercise notebook and the solutions notebook. If you want to follow along, grab the exercise notebook. Both contain additional notes which will be discussed verbally in the workshop.

Flow

This workshop walks through a possible start to an exploratory analysis on a real-world dataset. The only Python package used is pandas.

Data

The data was collected at the Centre for Complexity Science, at the University of Warwick.

pydata_pandas's People

Contributors

Stargazers

Watchers

Forkers

saisiddu ellelang lynndc qiaolingma efratshabtai clair3st prashantchari nashavi developeralicia tespintom ndneighbor blancom eamader jruales dataandcaffeine koolhead17 bvanabbema liston ibkate ltaocs laurii pawan07thapa amaravathi kangarlu arasharn soudiptad99 zasfaw hrishikeshteke panhuida floregekko1 jh609 hich11 wayneqwele balamskc ahokheru williamhuangzy xhan-shannon smartgridsml finnpe ujjwakumarsingh dashjim folgerhuang kaihoshijo omkarbhakare caiosalgado mhamine dpslnrao nyilmaz1 dsujitkumar annashepilova sethips macdawg11 mineshkumar codeslord liamkoh wylpdx808 hussainwaseem drjohnwalls vaibhav-n sherry808 wankhaidir rejy182 ctlindwall lisa1015 miltonclark radinaarnaudova robi-kk b-d-johnson catchy122 masterxuboya valeman identidadgh jlntorres8 hundredone datascience4me benneaux shahriar1489 rafatahmed smdepotter kevolenga mohan347 aabdi406 wzchu michalskrzypek vobeckak anhnguyendepocen himabhima rbk2145 biswajeet32 sofakroken padmaher556 knowsid ningyezi523 jiguanglu jeremydruiz jatin7gupta radovankavicky gapdata fairjm bpfitz

pydata_pandas's Issues

data.plot gives a ValueError

Hey Quentin.

After having seen your great talk at PyData in Seattle, I tried to analyse your coffees.csv dataset by myself using a blank notebook. Everything worked out fine until I tried to plot the data. When using

data.coffees.plot()

I get that plot with the spike at the end. But when trying to plot against the datetime with

data.plot(x=data.timestamp, style=".-")

I receive a ValueError.
I now checked my code with your solutions notebook and it's pretty identical, so I went ahead and "Restart & Run all" your solutions notebook. Now this code gives the same error in your notebook.

Have you any idea why this happens? I find the error message quite cryptic.

I'm running matplotlib-2.1.2, python-dateutil-2.6.1 and pandas-0.22.0.

Error Message

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-20-10c3ef6629e6> in <module>()
      1 # .plot() on the dataframe, setting x to the timestamp, with dot-dash style
----> 2 data.plot(x=data.timestamp, style=".-")

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in __call__(self, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)
   2675                           fontsize=fontsize, colormap=colormap, table=table,
   2676                           yerr=yerr, xerr=xerr, secondary_y=secondary_y,
-> 2677                           sort_columns=sort_columns, **kwds)
   2678     __call__.__doc__ = plot_frame.__doc__
   2679 

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in plot_frame(data, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)
   1900                  yerr=yerr, xerr=xerr,
   1901                  secondary_y=secondary_y, sort_columns=sort_columns,
-> 1902                  **kwds)
   1903 
   1904 

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in _plot(data, x, y, subplots, ax, kind, **kwds)
   1727         plot_obj = klass(data, subplots=subplots, ax=ax, kind=kind, **kwds)
   1728 
-> 1729     plot_obj.generate()
   1730     plot_obj.draw()
   1731     return plot_obj.result

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in generate(self)
    256 
    257         for ax in self.axes:
--> 258             self._post_plot_logic_common(ax, self.data)
    259             self._post_plot_logic(ax, self.data)
    260 

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in _post_plot_logic_common(self, ax, data)
    395             self._apply_axis_properties(ax.xaxis, rot=self.rot,
    396                                         fontsize=self.fontsize)
--> 397             self._apply_axis_properties(ax.yaxis, fontsize=self.fontsize)
    398 
    399             if hasattr(ax, 'right_ax'):

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/plotting/_core.py in _apply_axis_properties(self, axis, rot, fontsize)
    468 
    469     def _apply_axis_properties(self, axis, rot=None, fontsize=None):
--> 470         labels = axis.get_majorticklabels() + axis.get_minorticklabels()
    471         for label in labels:
    472             if rot is not None:

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axis.py in get_majorticklabels(self)
   1186     def get_majorticklabels(self):
   1187         'Return a list of Text instances for the major ticklabels'
-> 1188         ticks = self.get_major_ticks()
   1189         labels1 = [tick.label1 for tick in ticks if tick.label1On]
   1190         labels2 = [tick.label2 for tick in ticks if tick.label2On]

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axis.py in get_major_ticks(self, numticks)
   1337         'get the tick instances; grow as necessary'
   1338         if numticks is None:
-> 1339             numticks = len(self.get_major_locator()())
   1340         if len(self.majorTicks) < numticks:
   1341             # update the new tick label properties from the old

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in __call__(self)
   1095     def __call__(self):
   1096         'Return the locations of the ticks'
-> 1097         self.refresh()
   1098         return self._locator()
   1099 

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in refresh(self)
   1115     def refresh(self):
   1116         'Refresh internal information based on current limits.'
-> 1117         dmin, dmax = self.viewlim_to_dt()
   1118         self._locator = self.get_locator(dmin, dmax)
   1119 

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in viewlim_to_dt(self)
    873             vmin, vmax = vmax, vmin
    874 
--> 875         return num2date(vmin, self.tz), num2date(vmax, self.tz)
    876 
    877     def _get_unit(self):

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in num2date(x, tz)
    464         tz = _get_rc_timezone()
    465     if not cbook.iterable(x):
--> 466         return _from_ordinalf(x, tz)
    467     else:
    468         x = np.asarray(x)

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in _from_ordinalf(x, tz)
    277 
    278     ix = int(x)
--> 279     dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC)
    280 
    281     remainder = float(x) - ix

ValueError: ordinal must be >= 1

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/IPython/core/formatters.py in __call__(self, obj)
    339                 pass
    340             else:
--> 341                 return printer(obj)
    342             # Finally look for special method names
    343             method = get_real_method(obj, self.print_method)

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/IPython/core/pylabtools.py in <lambda>(fig)
    236 
    237     if 'png' in formats:
--> 238         png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
    239     if 'retina' in formats or 'png2x' in formats:
    240         png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/IPython/core/pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
    120 
    121     bytes_io = BytesIO()
--> 122     fig.canvas.print_figure(bytes_io, **kw)
    123     data = bytes_io.getvalue()
    124     if fmt == 'svg':

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
   2214                     orientation=orientation,
   2215                     dryrun=True,
-> 2216                     **kwargs)
   2217                 renderer = self.figure._cachedRenderer
   2218                 bbox_inches = self.figure.get_tightbbox(renderer)

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
    505 
    506     def print_png(self, filename_or_obj, *args, **kwargs):
--> 507         FigureCanvasAgg.draw(self)
    508         renderer = self.get_renderer()
    509         original_dpi = renderer.dpi

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py in draw(self)
    428             # if toolbar:
    429             #     toolbar.set_cursor(cursors.WAIT)
--> 430             self.figure.draw(self.renderer)
    431         finally:
    432             # if toolbar:

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     53                 renderer.start_filter()
     54 
---> 55             return draw(artist, renderer, *args, **kwargs)
     56         finally:
     57             if artist.get_agg_filter() is not None:

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/figure.py in draw(self, renderer)
   1297 
   1298             mimage._draw_list_compositing_images(
-> 1299                 renderer, self, artists, self.suppressComposite)
   1300 
   1301             renderer.close_group('figure')

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    136     if not_composite or not has_images:
    137         for a in artists:
--> 138             a.draw(renderer)
    139     else:
    140         # Composite any adjacent images together

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     53                 renderer.start_filter()
     54 
---> 55             return draw(artist, renderer, *args, **kwargs)
     56         finally:
     57             if artist.get_agg_filter() is not None:

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axes/_base.py in draw(self, renderer, inframe)
   2435             renderer.stop_rasterizing()
   2436 
-> 2437         mimage._draw_list_compositing_images(renderer, self, artists)
   2438 
   2439         renderer.close_group('axes')

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    136     if not_composite or not has_images:
    137         for a in artists:
--> 138             a.draw(renderer)
    139     else:
    140         # Composite any adjacent images together

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     53                 renderer.start_filter()
     54 
---> 55             return draw(artist, renderer, *args, **kwargs)
     56         finally:
     57             if artist.get_agg_filter() is not None:

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axis.py in draw(self, renderer, *args, **kwargs)
   1131         renderer.open_group(__name__)
   1132 
-> 1133         ticks_to_draw = self._update_ticks(renderer)
   1134         ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
   1135                                                                 renderer)

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axis.py in _update_ticks(self, renderer)
    972 
    973         interval = self.get_view_interval()
--> 974         tick_tups = list(self.iter_ticks())
    975         if self._smart_bounds and tick_tups:
    976             # handle inverted limits

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axis.py in iter_ticks(self)
    915         Iterate through all of the major and minor ticks.
    916         """
--> 917         majorLocs = self.major.locator()
    918         majorTicks = self.get_major_ticks(len(majorLocs))
    919         self.major.formatter.set_locs(majorLocs)

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in __call__(self)
   1095     def __call__(self):
   1096         'Return the locations of the ticks'
-> 1097         self.refresh()
   1098         return self._locator()
   1099 

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in refresh(self)
   1115     def refresh(self):
   1116         'Refresh internal information based on current limits.'
-> 1117         dmin, dmax = self.viewlim_to_dt()
   1118         self._locator = self.get_locator(dmin, dmax)
   1119 

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in viewlim_to_dt(self)
    873             vmin, vmax = vmax, vmin
    874 
--> 875         return num2date(vmin, self.tz), num2date(vmax, self.tz)
    876 
    877     def _get_unit(self):

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in num2date(x, tz)
    464         tz = _get_rc_timezone()
    465     if not cbook.iterable(x):
--> 466         return _from_ordinalf(x, tz)
    467     else:
    468         x = np.asarray(x)

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/dates.py in _from_ordinalf(x, tz)
    277 
    278     ix = int(x)
--> 279     dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC)
    280 
    281     remainder = float(x) - ix

ValueError: ordinal must be >= 1

<matplotlib.figure.Figure at 0x1114ab5f8>

data.plot(x=data.Tenure, style=".-")

KeyError: "None of [Int64Index([ 2, 1, 8, 1, 2, 8, 7, 4, 4, 2,\n ...\n 3, 4, 2, 7, 2, 5, 10, 7, 3, 4],\n dtype='int64', length=10000)] are in the [columns]"

Plot gives 'not in index' error

i have followed your steps exactly as you are showing, but the data frame plots did not work. I have reloaded the jupyter notebook and re-run every code in sequence, I have matplotlib installed and imported too. Please help me with this error.

It gives a long error as shown below;
.....................................................................................................................................................................
KeyError Traceback (most recent call last)
in ()
----> 1 data.plot(x=data.timestamp)

/anaconda3/lib/python3.6/site-packages/pandas/plotting/_core.py in call(self, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)
2939 fontsize=fontsize, colormap=colormap, table=table,
2940 yerr=yerr, xerr=xerr, secondary_y=secondary_y,
-> 2941 sort_columns=sort_columns, **kwds)
2942 call.doc = plot_frame.doc
2943

/anaconda3/lib/python3.6/site-packages/pandas/plotting/_core.py in plot_frame(data, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)
1975 yerr=yerr, xerr=xerr,
1976 secondary_y=secondary_y, sort_columns=sort_columns,
-> 1977 **kwds)
1978
1979

/anaconda3/lib/python3.6/site-packages/pandas/plotting/_core.py in _plot(data, x, y, subplots, ax, kind, **kwds)
1764 if is_integer(x) and not data.columns.holds_integer():
1765 x = data_cols[x]
-> 1766 elif not isinstance(data[x], ABCSeries):
1767 raise ValueError("x must be a label or position")
1768 data = data.set_index(x)

/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py in getitem(self, key)
2680 if isinstance(key, (Series, np.ndarray, Index, list)):
2681 # either boolean or fancy integer index
-> 2682 return self._getitem_array(key)
2683 elif isinstance(key, DataFrame):
2684 return self._getitem_frame(key)

/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py in _getitem_array(self, key)
2724 return self._take(indexer, axis=0)
2725 else:
-> 2726 indexer = self.loc._convert_to_indexer(key, axis=1)
2727 return self._take(indexer, axis=1)
2728

/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py in _convert_to_indexer(self, obj, axis, is_setter)
1325 if mask.any():
1326 raise KeyError('{mask} not in index'
-> 1327 .format(mask=objarr[mask]))
1328
1329 return com._values_from_object(indexer)

KeyError: "['2011-10-03T08:22:00.000000000' '2011-10-04T11:48:00.000000000'\n '2011-10-05T10:47:00.000000000' '2011-10-05T13:15:00.000000000'\n '2011-10-06T07:21:00.000000000' '2011-10-06T10:04:00.000000000'\n '2011-10-06T12:14:00.000000000' '2011-10-06T12:49:00.000000000'\n '2011-10-06T14:52:00.000000000' '2011-10-07T07:34:00.000000000'\n '2011-10-07T08:37:00.000000000' '2011-10-07T11:09:00.000000000'\n '2011-10-07T13:14:00.000000000' '2011-10-07T15:20:00.000000000'\n '2011-10-07T16:50:00.000000000' '2011-10-09T16:53:00.000000000'\n '2011-10-10T07:29:00.000000000' '2011-10-10T10:13:00.000000000'\n '2011-10-10T13:41:00.000000000' '2011-10-10T14:02:00.000000000'\n '2011-10-10T15:23:00.000000000' '2011-10-11T14:09:00.000000000'\n '2011-10-12T08:11:00.000000000' '2011-10-12T09:57:00.000000000'\n '2011-10-12T10:06:00.000000000' '2011-10-12T12:01:00.000000000'\n '2011-10-12T12:30:00.000000000' '2011-10-12T13:56:00.000000000'\n '2011-10-13T09:10:00.000000000' '2011-10-13T10:52:00.000000000'\n '2011-10-13T11:04:00.000000000' '2011-10-13T14:41:00.000000000'\n '2011-10-13T15:06:00.000000000' '2011-10-13T15:45:00.000000000'\n '2011-10-13T15:58:00.000000000' '2011-10-14T09:02:00.000000000'\n '2011-10-14T10:02:00.000000000' '2011-10-14T14:07:00.000000000'\n '2011-10-17T09:24:00.000000000' '2011-10-17T11:19:00.000000000'\n '2011-10-17T14:05:00.000000000' '2011-10-18T09:20:00.000000000'\n '2011-10-18T09:39:00.000000000' '2011-10-18T11:32:00.000000000'\n '2011-10-18T12:54:00.000000000' '2011-10-19T09:15:00.000000000'\n '2011-10-19T09:31:00.000000000' '2011-10-19T14:08:00.000000000'\n '2011-10-19T15:11:00.000000000' '2011-10-20T13:01:00.000000000'\n '2011-10-20T15:59:00.000000000' '2011-10-21T10:39:00.000000000'\n '2011-10-21T13:15:00.000000000' '2011-10-21T15:09:00.000000000'\n '2011-10-24T09:51:00.000000000' '2011-10-24T10:15:00.000000000'\n '2011-10-24T10:21:00.000000000' '2011-10-24T14:32:00.000000000'\n '2011-10-25T07:54:00.000000000' '2011-10-25T09:37:00.000000000'\n '2011-10-25T14:30:00.000000000' '2011-10-25T17:52:00.000000000'\n '2011-10-26T09:15:00.000000000' '2011-10-26T09:42:00.000000000'\n '2011-10-26T11:59:00.000000000' '2011-10-26T13:38:00.000000000'\n '2011-10-27T08:03:00.000000000' '2011-10-27T11:14:00.000000000'\n '2011-10-27T13:51:00.000000000' '2011-10-28T13:33:00.000000000'\n '2011-10-31T10:58:00.000000000' '2011-10-31T11:00:00.000000000'\n '2011-10-31T13:58:00.000000000' '2011-10-31T14:35:00.000000000'\n '2011-11-01T08:21:00.000000000' '2011-11-01T09:33:00.000000000'\n '2011-11-01T10:13:00.000000000' '2011-11-01T15:07:00.000000000'\n '2011-11-01T15:19:00.000000000' '2011-11-02T10:56:00.000000000'\n '2011-11-03T09:52:00.000000000' '2011-11-04T10:41:00.000000000'\n '2011-11-04T13:22:00.000000000' '2011-11-08T13:32:00.000000000'\n '2011-11-08T15:08:00.000000000' '2011-11-09T12:09:00.000000000'\n '2011-11-09T13:57:00.000000000' '2011-11-10T10:26:00.000000000'\n '2011-11-10T15:36:00.000000000' '2011-11-10T15:52:00.000000000'\n '2011-11-11T10:27:00.000000000' '2011-11-11T12:19:00.000000000'\n '2011-11-11T13:29:00.000000000' '2011-11-14T10:53:00.000000000'\n '2011-11-14T19:21:00.000000000' '2011-11-15T10:32:00.000000000'\n '2011-11-15T15:04:00.000000000' '2011-11-15T16:00:00.000000000'\n '2011-11-16T09:24:00.000000000' '2011-11-16T09:58:00.000000000'\n '2011-11-16T12:57:00.000000000' '2011-11-17T11:24:00.000000000'\n '2011-11-17T13:59:00.000000000' '2011-11-18T11:15:00.000000000'\n '2011-11-18T16:05:00.000000000' '2011-11-20T14:20:00.000000000'\n '2011-11-21T09:21:00.000000000' '2011-11-21T10:06:00.000000000'\n '2011-11-21T11:34:00.000000000' '2011-11-21T11:40:00.000000000'\n '2011-11-21T14:07:00.000000000' '2011-11-23T09:33:00.000000000'\n '2011-11-23T09:45:00.000000000' '2011-11-23T12:31:00.000000000'\n '2011-11-24T11:27:00.000000000' '2011-11-24T13:33:00.000000000'\n '2011-11-24T14:13:00.000000000' '2011-11-24T15:00:00.000000000'\n '2011-11-28T09:41:00.000000000' '2011-11-30T13:20:00.000000000'\n '2011-12-01T11:12:00.000000000' '2011-12-03T17:02:00.000000000'\n '2011-12-05T14:53:00.000000000' '2011-12-06T10:36:00.000000000'\n '2011-12-06T11:29:00.000000000' '2011-12-06T13:57:00.000000000'\n '2011-12-07T10:37:00.000000000' '2011-12-07T11:33:00.000000000'\n '2011-12-07T15:02:00.000000000' '2011-12-08T13:56:00.000000000'\n '2011-12-09T10:32:00.000000000' '2011-12-09T15:47:00.000000000'\n '2011-12-09T17:29:00.000000000' '2011-12-12T09:30:00.000000000'\n '2011-12-12T13:42:00.000000000' '2011-12-13T10:08:00.000000000'\n '2011-12-13T13:32:00.000000000' '2011-12-13T13:36:00.000000000'\n '2011-12-13T15:09:00.000000000' '2011-12-19T12:09:00.000000000'\n '2012-01-11T14:42:00.000000000' '2012-01-11T17:13:00.000000000'\n '2012-01-13T10:31:00.000000000' '2012-01-13T14:59:00.000000000'\n '2012-01-16T09:58:00.000000000' '2012-01-16T11:58:00.000000000'\n '2012-01-16T13:51:00.000000000' '2012-01-16T15:28:00.000000000'\n '2012-01-18T11:14:00.000000000' '2012-01-18T14:28:00.000000000'\n '2012-01-18T18:02:00.000000000' '2012-01-20T15:11:00.000000000'\n '2012-01-21T13:48:00.000000000' '2012-01-23T11:51:00.000000000'\n '2012-01-23T13:15:00.000000000' '2012-01-24T10:29:00.000000000'\n '2012-01-25T09:44:00.000000000' '2012-01-25T10:03:00.000000000'\n '2012-01-26T10:18:00.000000000' '2012-01-26T13:02:00.000000000'\n '2012-01-27T10:33:00.000000000' '2012-01-27T11:01:00.000000000'\n '2012-01-27T14:23:00.000000000' '2012-01-28T13:35:00.000000000'\n '2012-01-30T09:02:00.000000000' '2012-01-30T10:05:00.000000000'\n '2012-01-30T13:30:00.000000000' '2012-02-01T09:21:00.000000000'\n '2012-02-01T12:31:00.000000000' '2012-02-01T13:30:00.000000000'\n '2012-02-01T16:21:00.000000000' '2012-02-02T10:10:00.000000000'\n '2012-02-02T13:36:00.000000000' '2012-02-03T12:24:00.000000000'\n '2012-02-03T15:38:00.000000000' '2012-02-04T11:48:00.000000000'\n '2012-02-04T14:55:00.000000000' '2012-02-05T13:40:00.000000000'\n '2012-02-05T15:33:00.000000000' '2012-02-06T07:45:00.000000000'\n '2012-02-06T10:55:00.000000000' '2012-02-06T11:34:00.000000000'\n '2012-02-06T12:42:00.000000000' '2012-02-06T17:50:00.000000000'\n '2012-02-08T11:17:00.000000000' '2012-02-10T07:44:00.000000000'\n '2012-02-10T12:52:00.000000000' '2012-02-10T16:32:00.000000000'\n '2012-02-11T12:35:00.000000000' '2012-02-12T13:45:00.000000000'\n '2012-02-13T16:31:00.000000000' '2012-02-17T13:38:00.000000000'\n '2012-02-19T15:29:00.000000000' '2012-02-20T12:13:00.000000000'\n '2012-02-20T17:12:00.000000000' '2012-02-21T08:49:00.000000000'\n '2012-02-22T09:54:00.000000000' '2012-02-22T13:23:00.000000000'\n '2012-02-22T16:05:00.000000000' '2012-02-22T16:08:00.000000000'\n '2012-02-23T15:57:00.000000000' '2012-02-24T13:44:00.000000000'\n '2012-02-25T16:39:00.000000000' '2012-02-27T08:42:00.000000000'\n '2012-02-27T15:35:00.000000000' '2012-02-28T11:13:00.000000000'\n '2012-02-29T09:27:00.000000000' '2012-02-29T12:57:00.000000000'\n '2012-03-01T10:07:00.000000000' '2012-03-01T14:24:00.000000000'\n '2012-03-02T15:13:00.000000000' '2012-03-04T15:07:00.000000000'\n '2012-03-06T11:13:00.000000000' '2012-03-07T12:50:00.000000000'\n '2012-03-08T12:59:00.000000000' '2012-03-09T12:45:00.000000000'\n '2012-03-12T10:17:00.000000000' '2012-03-12T12:07:00.000000000'\n '2012-03-12T17:28:00.000000000' '2012-04-04T09:48:00.000000000'\n '2012-04-04T11:12:00.000000000' '2012-04-04T13:33:00.000000000'\n '2012-04-04T17:00:00.000000000' '2012-04-04T17:02:00.000000000'\n '2012-04-05T10:39:00.000000000' '2012-04-05T11:59:00.000000000'\n '2012-04-10T09:51:00.000000000' '2012-04-10T10:45:00.000000000'\n '2012-04-10T13:55:00.000000000' '2012-04-11T11:37:00.000000000'\n '2012-04-26T16:45:00.000000000' '2012-04-26T17:59:00.000000000'\n '2012-04-27T11:03:00.000000000' '2012-04-27T13:16:00.000000000'\n '2012-04-30T08:58:00.000000000' '2012-04-30T13:15:00.000000000'\n '2012-04-30T14:54:00.000000000' '2012-05-01T14:11:00.000000000'\n '2012-05-02T12:00:00.000000000' '2012-05-02T13:25:00.000000000'\n '2012-05-03T12:14:00.000000000' '2012-05-03T13:13:00.000000000'\n '2012-05-04T11:08:00.000000000' '2012-05-07T10:17:00.000000000'\n '2012-05-07T12:56:00.000000000' '2012-05-07T13:31:00.000000000'\n '2012-05-07T18:20:00.000000000' '2012-05-08T11:34:00.000000000'\n '2012-05-08T11:47:00.000000000' '2012-05-09T12:54:00.000000000'\n '2012-05-09T14:10:00.000000000' '2012-05-09T16:55:00.000000000'\n '2012-05-10T12:12:00.000000000' '2012-05-10T15:44:00.000000000'\n '2012-05-10T17:59:00.000000000' '2012-05-11T15:40:00.000000000'\n '2012-05-12T09:50:00.000000000' '2012-05-14T10:02:00.000000000'\n '2012-05-14T12:23:00.000000000' '2012-05-14T15:27:00.000000000'\n '2012-05-15T09:07:00.000000000' '2012-05-15T09:19:00.000000000'\n '2012-05-15T13:06:00.000000000' '2012-05-15T13:42:00.000000000'\n '2012-05-16T09:17:00.000000000' '2012-05-16T10:25:00.000000000'\n '2012-05-16T13:24:00.000000000' '2012-05-16T16:05:00.000000000'\n '2012-05-16T16:57:00.000000000' '2012-05-17T09:22:00.000000000'\n '2012-05-17T13:02:00.000000000' '2012-05-17T14:25:00.000000000'\n '2012-05-17T18:48:00.000000000' '2012-05-18T09:19:00.000000000'\n '2012-05-18T12:57:00.000000000' '2012-05-18T13:14:00.000000000'\n '2012-05-20T14:00:00.000000000' '2012-05-21T09:15:00.000000000'\n '2012-05-21T14:40:00.000000000' '2012-05-22T10:08:00.000000000'\n '2012-05-22T13:23:00.000000000' '2012-05-24T09:23:00.000000000'\n '2012-05-24T13:23:00.000000000' '2012-05-24T15:51:00.000000000'\n '2012-05-25T09:19:00.000000000' '2012-05-25T11:10:00.000000000'\n '2012-05-25T11:55:00.000000000' '2012-05-25T12:34:00.000000000'\n '2012-05-26T15:40:00.000000000' '2012-05-28T09:16:00.000000000'\n '2012-05-28T12:57:00.000000000' '2012-05-28T19:24:00.000000000'\n '2012-05-29T11:07:00.000000000' '2012-05-29T13:29:00.000000000'\n '2012-05-31T09:09:00.000000000' '2012-05-31T12:41:00.000000000'\n '2012-05-31T17:24:00.000000000' '2012-06-01T09:20:00.000000000'\n '2012-06-01T13:27:00.000000000' '2012-06-01T18:50:00.000000000'\n '2012-06-04T08:42:00.000000000' '2012-06-04T12:24:00.000000000'\n '2012-06-04T13:25:00.000000000' '2012-06-04T15:09:00.000000000'\n '2012-06-05T15:29:00.000000000' '2012-06-05T16:56:00.000000000'\n '2012-06-06T09:18:00.000000000' '2012-06-06T10:20:00.000000000'\n '2012-06-06T13:33:00.000000000' '2012-06-06T15:42:00.000000000'\n '2012-06-07T08:44:00.000000000' '2012-06-07T09:30:00.000000000'\n '2012-06-07T13:36:00.000000000' '2012-06-07T17:32:00.000000000'\n '2012-06-07T19:11:00.000000000' '2012-06-08T09:53:00.000000000'\n '2012-06-08T10:04:00.000000000' '2012-06-08T11:55:00.000000000'\n '2012-06-11T09:13:00.000000000' '2012-06-11T12:41:00.000000000'\n '2012-06-11T13:25:00.000000000' '2012-06-11T14:59:00.000000000'\n '2012-06-11T16:01:00.000000000' '2012-06-11T19:08:00.000000000'\n '2012-06-12T08:15:00.000000000' '2012-06-15T12:40:00.000000000'\n '2012-06-15T12:43:00.000000000' '2012-06-17T13:43:00.000000000'\n '2012-06-17T17:44:00.000000000' '2012-06-18T09:12:00.000000000'\n '2012-06-18T13:02:00.000000000' '2012-06-18T17:55:00.000000000'\n '2012-06-19T11:28:00.000000000' '2012-06-20T12:49:00.000000000'\n '2012-06-26T11:18:00.000000000' '2012-06-26T15:05:00.000000000'\n '2012-06-26T19:35:00.000000000' '2012-06-27T12:06:00.000000000'\n '2012-06-28T11:46:00.000000000' '2012-06-28T17:42:00.000000000'\n '2012-06-29T09:17:00.000000000' '2012-06-29T16:47:00.000000000'\n '2012-07-02T12:12:00.000000000' '2012-07-02T17:09:00.000000000'\n '2012-07-03T12:17:00.000000000' '2012-07-03T16:09:00.000000000'\n '2012-07-04T09:58:00.000000000' '2012-07-04T12:49:00.000000000'\n '2012-07-04T13:42:00.000000000' '2012-07-05T09:16:00.000000000'\n '2012-07-05T12:08:00.000000000' '2012-07-05T16:12:00.000000000'\n '2012-07-06T13:24:00.000000000' '2012-07-06T18:03:00.000000000'\n '2012-07-07T17:12:00.000000000' '2012-07-08T12:03:00.000000000'\n '2012-07-09T09:20:00.000000000' '2012-07-09T12:15:00.000000000'\n '2012-07-09T14:20:00.000000000' '2012-07-10T09:12:00.000000000'\n '2012-07-10T13:36:00.000000000' '2012-07-11T09:11:00.000000000'\n '2012-07-12T09:21:00.000000000' '2012-07-13T09:19:00.000000000'\n '2012-07-16T12:53:00.000000000' '2012-07-16T16:57:00.000000000'\n '2012-07-17T09:16:00.000000000' '2012-07-20T09:20:00.000000000'\n '2012-07-25T09:16:00.000000000' '2012-07-25T10:39:00.000000000'\n '2012-07-25T10:54:00.000000000' '2012-07-25T14:32:00.000000000'\n '2012-07-26T09:58:00.000000000' '2012-07-26T11:39:00.000000000'\n '2012-07-26T13:38:00.000000000' '2012-07-27T09:16:00.000000000'\n '2012-07-27T11:16:00.000000000' '2012-07-28T20:08:00.000000000'\n '2012-07-30T11:15:00.000000000' '2012-07-30T13:35:00.000000000'\n '2012-07-30T16:10:00.000000000' '2012-07-31T13:26:00.000000000'\n '2012-08-01T13:13:00.000000000' '2012-08-01T14:23:00.000000000'\n '2012-08-02T09:16:00.000000000' '2012-08-02T13:18:00.000000000'\n '2012-08-02T15:46:00.000000000' '2012-08-05T16:35:00.000000000'\n '2012-08-06T11:08:00.000000000' '2012-08-06T11:20:00.000000000'\n '2012-08-06T13:18:00.000000000' '2012-08-06T13:37:00.000000000'\n '2012-08-07T10:38:00.000000000' '2012-08-07T13:02:00.000000000'\n '2012-08-08T09:28:00.000000000' '2012-08-08T12:26:00.000000000'\n '2012-08-08T13:19:00.000000000' '2012-08-08T13:34:00.000000000'\n '2012-08-08T15:49:00.000000000' '2012-08-09T10:44:00.000000000'\n '2012-08-09T11:40:00.000000000' '2012-08-09T13:10:00.000000000'\n '2012-08-09T13:25:00.000000000' '2012-08-09T15:10:00.000000000'\n '2012-08-13T09:36:00.000000000' '2012-08-13T13:46:00.000000000'\n '2012-08-14T09:23:00.000000000' '2012-08-14T10:46:00.000000000'\n '2012-08-14T14:23:00.000000000' '2012-08-14T19:05:00.000000000'\n '2012-08-15T09:27:00.000000000' '2012-08-15T14:16:00.000000000'\n '2012-08-16T09:16:00.000000000' '2012-08-16T15:42:00.000000000'\n '2012-08-17T09:26:00.000000000' '2012-08-17T13:15:00.000000000'\n '2012-08-20T09:28:00.000000000' '2012-08-20T14:10:00.000000000'\n '2012-08-21T10:06:00.000000000' '2012-08-21T13:01:00.000000000'\n '2012-08-21T16:05:00.000000000' '2012-08-22T09:57:00.000000000'\n '2012-08-22T13:52:00.000000000' '2012-08-23T09:17:00.000000000'\n '2012-08-23T13:00:00.000000000' '2012-08-23T13:16:00.000000000'\n '2012-08-24T15:32:00.000000000' '2012-08-25T15:11:00.000000000'\n '2012-08-27T09:55:00.000000000' '2012-08-27T13:53:00.000000000'\n '2012-08-28T10:48:00.000000000' '2012-08-29T13:34:00.000000000'\n '2012-08-30T09:33:00.000000000' '2012-08-30T13:38:00.000000000'\n '2012-08-30T17:36:00.000000000' '2012-08-31T09:24:00.000000000'\n '2012-08-31T11:21:00.000000000' '2012-08-31T13:53:00.000000000'\n '2012-08-31T15:20:00.000000000' '2012-09-01T14:13:00.000000000'\n '2012-09-01T17:43:00.000000000' '2012-09-03T12:19:00.000000000'\n '2012-09-03T16:15:00.000000000' '2012-09-04T11:43:00.000000000'\n '2012-09-04T14:52:00.000000000' '2012-09-05T09:28:00.000000000'\n '2012-09-05T14:06:00.000000000' '2012-09-05T14:48:00.000000000'\n '2012-09-06T13:15:00.000000000' '2012-09-07T09:20:00.000000000'\n '2012-09-07T09:49:00.000000000' '2012-09-07T13:40:00.000000000'\n '2012-09-07T16:53:00.000000000' '2012-09-10T09:30:00.000000000'\n '2012-09-10T13:30:00.000000000' '2012-09-10T17:21:00.000000000'\n '2012-09-11T13:11:00.000000000' '2012-09-12T17:05:00.000000000'\n '2012-09-13T11:07:00.000000000' '2012-09-13T13:15:00.000000000'\n '2012-09-13T14:51:00.000000000' '2012-09-14T07:38:00.000000000'\n '2012-09-14T11:35:00.000000000' '2012-09-15T13:28:00.000000000'\n '2012-09-15T18:53:00.000000000' '2012-09-17T09:37:00.000000000'\n '2012-09-17T13:09:00.000000000' '2012-09-18T10:22:00.000000000'\n '2012-09-19T14:48:00.000000000' '2012-09-20T09:45:00.000000000'\n '2012-09-20T13:04:00.000000000' '2012-09-21T11:51:00.000000000'\n '2012-09-21T12:56:00.000000000' '2012-09-24T13:13:00.000000000'\n '2012-09-24T13:39:00.000000000' '2012-09-24T15:21:00.000000000'\n '2012-09-25T11:10:00.000000000' '2012-09-25T15:38:00.000000000'\n '2012-09-26T09:28:00.000000000' '2012-09-26T12:36:00.000000000'\n '2012-09-26T16:02:00.000000000' '2012-09-27T10:00:00.000000000'\n '2012-09-27T11:50:00.000000000' '2012-09-27T13:32:00.000000000'\n '2012-09-28T09:22:00.000000000' '2012-09-28T10:20:00.000000000'\n '2012-09-28T13:17:00.000000000' '2012-09-29T09:05:00.000000000'\n '2012-09-29T15:16:00.000000000' '2012-10-01T09:23:00.000000000'\n '2012-10-01T09:58:00.000000000' '2012-10-01T12:11:00.000000000'\n '2012-10-01T13:08:00.000000000' '2012-10-03T17:06:00.000000000'\n '2012-10-04T08:20:00.000000000' '2012-10-04T10:40:00.000000000'\n '2012-10-04T12:43:00.000000000' '2012-10-04T14:33:00.000000000'\n '2012-10-05T08:22:00.000000000' '2012-10-05T12:47:00.000000000'\n '2012-10-05T13:02:00.000000000' '2012-10-05T15:10:00.000000000'\n '2012-10-05T17:40:00.000000000' '2012-10-08T13:29:00.000000000'\n '2012-10-08T13:48:00.000000000' '2012-10-08T15:03:00.000000000'\n '2012-10-09T09:44:00.000000000' '2012-10-09T11:16:00.000000000'\n '2012-10-09T12:25:00.000000000' '2012-10-10T10:03:00.000000000'\n '2012-10-10T11:03:00.000000000' '2012-10-10T11:53:00.000000000'\n '2012-10-10T13:10:00.000000000' '2012-10-10T13:45:00.000000000'\n '2012-10-10T15:50:00.000000000' '2012-10-11T10:18:00.000000000'\n '2012-10-11T12:58:00.000000000' '2012-10-12T09:47:00.000000000'\n '2012-10-12T10:50:00.000000000' '2012-10-12T13:34:00.000000000'\n '2012-10-13T12:37:00.000000000' '2012-10-13T15:32:00.000000000'\n '2012-10-14T16:44:00.000000000' '2012-10-15T08:44:00.000000000'\n '2012-10-15T10:35:00.000000000' '2012-10-15T13:24:00.000000000'\n '2012-10-15T14:57:00.000000000' '2012-10-16T12:37:00.000000000'\n '2012-10-17T09:50:00.000000000' '2012-10-17T10:25:00.000000000'\n '2012-10-17T13:00:00.000000000' '2012-10-17T13:01:00.000000000'\n '2012-10-17T13:50:00.000000000' '2012-10-18T09:44:00.000000000'\n '2012-10-18T10:04:00.000000000' '2012-10-18T11:40:00.000000000'\n '2012-10-18T13:41:00.000000000' '2012-10-19T10:20:00.000000000'\n '2012-10-19T16:18:00.000000000' '2012-10-20T14:20:00.000000000'\n '2012-10-20T16:35:00.000000000' '2012-10-20T16:36:00.000000000'\n '2012-10-22T10:46:00.000000000' '2012-10-22T12:08:00.000000000'\n '2012-10-22T13:28:00.000000000' '2012-10-22T16:39:00.000000000'\n '2012-10-23T12:43:00.000000000' '2012-10-25T09:55:00.000000000'\n '2012-10-26T16:03:00.000000000' '2012-10-30T09:36:00.000000000'\n '2012-10-31T12:51:00.000000000' '2012-10-31T14:11:00.000000000'\n '2012-10-31T18:02:00.000000000' '2012-11-01T11:19:00.000000000'\n '2012-11-01T15:20:00.000000000' '2012-11-02T11:38:00.000000000'\n '2012-11-02T13:46:00.000000000' '2012-11-05T11:17:00.000000000'\n '2012-11-05T13:25:00.000000000' '2012-11-06T09:30:00.000000000'\n '2012-11-07T09:53:00.000000000' '2012-11-07T10:59:00.000000000'\n '2012-11-07T12:45:00.000000000' '2012-11-08T11:38:00.000000000'\n '2012-11-08T13:50:00.000000000' '2012-11-09T10:07:00.000000000'\n '2012-11-09T10:26:00.000000000' '2012-11-09T12:11:00.000000000'\n '2012-11-09T12:48:00.000000000' '2012-11-09T13:14:00.000000000'\n '2012-11-12T09:34:00.000000000' '2012-11-12T09:36:00.000000000'\n '2012-11-12T13:21:00.000000000' '2012-11-14T12:50:00.000000000'\n '2012-11-15T14:38:00.000000000' '2012-11-16T10:22:00.000000000'\n '2012-11-16T13:45:00.000000000' '2012-11-19T11:27:00.000000000'\n '2012-11-19T13:18:00.000000000' '2012-11-19T16:27:00.000000000'\n '2012-11-20T10:49:00.000000000' '2012-11-20T12:15:00.000000000'\n '2012-11-20T13:44:00.000000000' '2012-11-21T09:58:00.000000000'\n '2012-11-21T16:27:00.000000000' '2012-11-23T11:38:00.000000000'\n '2012-11-23T12:45:00.000000000' '2012-11-23T13:22:00.000000000'\n '2012-11-23T13:52:00.000000000' '2012-11-24T11:44:00.000000000'\n '2012-11-24T12:49:00.000000000' '2012-11-26T10:00:00.000000000'\n '2012-11-26T10:50:00.000000000' '2012-11-26T13:34:00.000000000'\n '2012-11-28T09:58:00.000000000' '2012-11-28T12:58:00.000000000'\n '2012-11-30T16:07:00.000000000' '2012-12-03T11:21:00.000000000'\n '2012-12-03T17:00:00.000000000' '2012-12-04T10:47:00.000000000'\n '2012-12-04T13:03:00.000000000' '2012-12-04T14:08:00.000000000'\n '2012-12-05T11:13:00.000000000' '2012-12-06T14:36:00.000000000'\n '2012-12-07T11:22:00.000000000' '2012-12-08T12:29:00.000000000'\n '2012-12-08T14:20:00.000000000' '2012-12-08T17:15:00.000000000'\n '2012-12-10T12:12:00.000000000' '2012-12-11T10:29:00.000000000'\n '2012-12-11T14:23:00.000000000' '2012-12-12T09:43:00.000000000'\n '2012-12-12T13:07:00.000000000' '2012-12-12T15:17:00.000000000'\n '2012-12-14T10:24:00.000000000' '2012-12-17T14:36:00.000000000'\n '2012-12-18T11:04:00.000000000' '2012-12-18T13:50:00.000000000'\n '2012-12-21T15:23:00.000000000' '2013-01-08T13:58:00.000000000'\n '2013-01-09T15:25:00.000000000' '2013-01-10T11:05:00.000000000'\n '2013-01-11T10:57:00.000000000' '2013-01-11T13:36:00.000000000'\n '2013-01-11T17:06:00.000000000' '2013-01-15T08:25:00.000000000'\n '2013-01-16T12:38:00.000000000' '2013-01-16T18:09:00.000000000'\n '2013-01-17T13:45:00.000000000' '2013-01-21T14:07:00.000000000'\n '2013-01-28T14:01:00.000000000' '2013-01-29T13:43:00.000000000'\n '2013-01-29T15:06:00.000000000' '2013-02-04T13:25:00.000000000'\n '2013-02-06T17:33:00.000000000' '2013-02-07T13:30:00.000000000'\n '2013-02-12T08:36:00.000000000' '2013-02-12T11:39:00.000000000'\n '2013-02-13T13:58:00.000000000' '2013-02-16T11:55:00.000000000'\n '2013-02-18T13:46:00.000000000' '2013-02-21T13:44:00.000000000'\n '2013-02-21T15:02:00.000000000' '2013-02-25T13:33:00.000000000'\n '2013-02-25T17:25:00.000000000' '2013-02-27T09:33:00.000000000'] not in index"

Recommend Projects

React

A declarative, efficient, and flexible JavaScript library for building user interfaces.
Vue.js

🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript

TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
TensorFlow

An Open Source Machine Learning Framework for Everyone
Django

The Web framework for perfectionists with deadlines.
Laravel

A PHP framework for web artisans
D3

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

javascript

JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
web

Some thing interesting about web. New door for the world.
server

A server is a program made to process requests and deliver data to clients.
Machine learning

Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Visualization

Some thing interesting about visualization, use data art
Game

Some thing interesting about game, make everyone happy.

Recommend Org

Facebook

We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft

Open source projects and samples from Microsoft.
Google

Google ❤️ Open Source for everyone.
Alibaba

Alibaba Open Source for everyone
D3

Data-Driven Documents codes.
Tencent

China tencent open source team.