如何繪製Pandas中的對象類型數據？

Question

我想在Python中使用Pandas在'Original Publication Year'中繪製'Date Read'。

大熊貓版本= '0.16.2'

books_read.dtypes 

Title       object 
My Rating      int64 
Original Publication Year float64 
Date Read      object 
Exclusive Shelf    object 
dtype: object 

當我嘗試繪圖一樣，我得到錯誤 「KeyError異常： '閱讀日'」

books_read.plot(kind='scatter', x='Date Read', y='Original Publication Year') 
plt.show() 

KeyError         Traceback (most recent call last) 
<ipython-input-31-169da65d723c> in <module>() 
----> 1 books_read.plot(kind='scatter', x='Date Read', y='Original Publication Year') 
     2 plt.show() 

C:\Anaconda3\lib\site-packages\pandas\tools\plotting.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) 
    2486     yerr=yerr, xerr=xerr, 
    2487     secondary_y=secondary_y, sort_columns=sort_columns, 
-> 2488     **kwds) 
    2489 
    2490 

C:\Anaconda3\lib\site-packages\pandas\tools\plotting.py in _plot(data, x, y, subplots, ax, kind, **kwds) 
    2322   plot_obj = klass(data, subplots=subplots, ax=ax, kind=kind, **kwds) 
    2323 
-> 2324  plot_obj.generate() 
    2325  plot_obj.draw() 
    2326  return plot_obj.result 

C:\Anaconda3\lib\site-packages\pandas\tools\plotting.py in generate(self) 
    912   self._compute_plot_data() 
    913   self._setup_subplots() 
--> 914   self._make_plot() 
    915   self._add_table() 
    916   self._make_legend() 

C:\Anaconda3\lib\site-packages\pandas\tools\plotting.py in _make_plot(self) 
    1455   else: 
    1456    label = None 
-> 1457   scatter = ax.scatter(data[x].values, data[y].values, c=c_values, 
    1458        label=label, cmap=cmap, **self.kwds) 
    1459   if cb: 

C:\Anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key) 
    1795    return self._getitem_multilevel(key) 
    1796   else: 
-> 1797    return self._getitem_column(key) 
    1798 
    1799  def _getitem_column(self, key): 

C:\Anaconda3\lib\site-packages\pandas\core\frame.py in _getitem_column(self, key) 
    1802   # get column 
    1803   if self.columns.is_unique: 
-> 1804    return self._get_item_cache(key) 
    1805 
    1806   # duplicate columns & possible reduce dimensionaility 

C:\Anaconda3\lib\site-packages\pandas\core\generic.py in _get_item_cache(self, item) 
    1082   res = cache.get(item) 
    1083   if res is None: 
-> 1084    values = self._data.get(item) 
    1085    res = self._box_item_values(item, values) 
    1086    cache[item] = res 

C:\Anaconda3\lib\site-packages\pandas\core\internals.py in get(self, item, fastpath) 
    2849 
    2850    if not isnull(item): 
-> 2851     loc = self.items.get_loc(item) 
    2852    else: 
    2853     indexer = np.arange(len(self.items))[isnull(self.items)] 

C:\Anaconda3\lib\site-packages\pandas\core\index.py in get_loc(self, key, method) 
    1570   """ 
    1571   if method is None: 
-> 1572    return self._engine.get_loc(_values_from_object(key)) 
    1573 
    1574   indexer = self.get_indexer([key], method=method) 

pandas\index.pyx in pandas.index.IndexEngine.get_loc (pandas\index.c:3824)() 

pandas\index.pyx in pandas.index.IndexEngine.get_loc (pandas\index.c:3704)() 

pandas\hashtable.pyx in pandas.hashtable.PyObjectHashTable.get_item (pandas\hashtable.c:12280)() 

pandas\hashtable.pyx in pandas.hashtable.PyObjectHashTable.get_item (pandas\hashtable.c:12231)() 

KeyError: 'Date Read' 

我我在這裏做錯了什麼？我需要在這裏將「Date Read」轉換爲其他格式嗎？

[編輯1] 即使將'讀取日期'和'原始發佈年'轉換爲日期時間，我也會得到相同的錯誤。

books_read['Date Read'] = pd.to_datetime(books_read['Date Read']) 
books_read['Original Publication Year'] = pd.to_datetime(books_read['Original Publication Year']) 
books_read.plot(kind='scatter', x='Date Read', y='Original Publication Year') 

KeyError: 'Date Read' 

Answer 1

我不知道爲什麼它不與scatter工作，因爲它正常工作與line ..但是，另外，您可以繪製與matplotlib.pyplot：

import pandas as pd 
import matplotlib.pyplot as plt 

df = pd.DataFrame({"Original Publication Year": [2010, 1941, 2012, 2008, 2012, 2009, 2009, 1931, 2005, 2007], "Data Read" : ['12/1/2015', '11/23/2015', '10/26/2015', '10/24/2015', '9/26/2015', '9/24/2015', '8/26/2015', '8/9/2015','10/2/2015', '7/12/2015']}) 

df['Data Read'] = pd.to_datetime(df['Data Read']) 
df.plot(kind='line', x='Data Read', y='Original Publication Year') 

plt.scatter(df['Data Read'].values, df['Original Publication Year'])