本文整理匯總了Python中pandas.plotting.table方法的典型用法代碼示例。如果您正苦於以下問題：Python plotting.table方法的具體用法？Python plotting.table怎麽用？Python plotting.table使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pandas.plotting的用法示例。
在下文中一共展示了plotting.table方法的4個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_table
# 需要導入模塊: from pandas import plotting [as 別名]
# 或者: from pandas.plotting import table [as 別名]
def test_table(self):
df = DataFrame(np.random.rand(10, 3),
index=list(string.ascii_letters[:10]))
_check_plot_works(df.plot, table=True)
_check_plot_works(df.plot, table=df)
ax = df.plot()
assert len(ax.tables) == 0
plotting.table(ax, df.T)
assert len(ax.tables) == 1 示例2: _shape
# 需要導入模塊: from pandas import plotting [as 別名]
# 或者: from pandas.plotting import table [as 別名]
def _shape(self, df):
"""
Calculate table chape considering index levels.
"""
row, col = df.shape
return row + df.columns.nlevels, col + df.index.nlevels 示例3: _conv
# 需要導入模塊: from pandas import plotting [as 別名]
# 或者: from pandas.plotting import table [as 別名]
def _conv(self, data):
"""Convert each input to appropriate for table outplot"""
if isinstance(data, pd.Series):
if data.name is None:
data = data.to_frame(name='')
else:
data = data.to_frame()
data = data.fillna('NaN')
return data 示例4: _make_table
# 需要導入模塊: from pandas import plotting [as 別名]
# 或者: from pandas.plotting import table [as 別名]
def _make_table(self, ax, df, title, height=None):
if df is None:
ax.set_visible(False)
return
import pandas.plotting as plotting
idx_nlevels = df.index.nlevels
col_nlevels = df.columns.nlevels
# must be convert here to get index levels for colorization
df = self._insert_index(df)
tb = plotting.table(ax, df, loc=9)
tb.set_fontsize(self.font_size)
if height is None:
height = 1.0 / (len(df) + 1)
props = tb.properties()
for (r, c), cell in compat.iteritems(props['celld']):
if c == -1:
cell.set_visible(False)
elif r < col_nlevels and c < idx_nlevels:
cell.set_visible(False)
elif r < col_nlevels or c < idx_nlevels:
cell.set_facecolor('#AAAAAA')
cell.set_height(height)
ax.set_title(title, size=self.font_size)
ax.axis('off')