def test_table_cells():
fig, ax = plt.subplots()
table = Table(ax)
cell = table.add_cell(1, 2, 1, 1)
assert isinstance(cell, CustomCell)
assert cell is table[1, 2]
cell2 = CustomCell((0, 0), 1, 2, visible_edges=None)
table[2, 1] = cell2
assert table[2, 1] is cell2
# make sure getitem support has not broken
# properties and setp
table.properties()
plt.setp(table)
def test_table_cells():
fig, ax = plt.subplots()
table = Table(ax)
cell = table.add_cell(1, 2, 1, 1)
assert isinstance(cell, CustomCell)
assert cell is table[1, 2]
cell2 = CustomCell((0, 0), 1, 2, visible_edges=None)
table[2, 1] = cell2
assert table[2, 1] is cell2
# make sure gettitem support has not broken
# properties and setp
table.properties()
plt.setp(table)
def table_plot(df, figsize=(12, 9), value_format='text', fontsize=None,
positive_color=None, negative_color=None, header_color=None, index_color=None,
fill_color=None, positive_fill_color=None, negative_fill_color=None,
header_fill_color=None, index_fill_color=None, title=None, decimals=2, **kwargs):
"""
Plot DataFrame as a table
Parameters
----------
df : DataFrame
Data to be plotted as a table
figsize : tuple, optional
2-ple of (x, y) dimensions for figures in inches
value_format : string, optional
Format of the table values. Options supported are 'text' and 'numeric'.
fontsize : int, optional
Font size
positive_color : string, optional
Color to print positive values
negative_color : string, optional
Color to print negative cells
header_color : string, optional
Color to print header values
index_color : string, optional
Color to print index values
fill_color : string, optional
Color to fill table cells
positive_fill_color : string, optional
Color to fill cells with positive values
negative_fill_color : string, optional
Color to fill cells with negative values
header_fill_color : string, optional
Color to fill header cells
index_fill_color : string, optional
Color to fill index cells
title : string, optional
Table title
decimals : int, optional
If value_format is numeric, the number of decimal places used to round values
Returns
-------
fig : Figure
Figure containing the table plot
"""
if not isinstance(df, pd.DataFrame):
raise TypeError('df should be a DataFrame object')
if value_format not in ['text', 'numeric']:
raise ValueError('%s is not a valid format' % value_format)
# draw table
fig, ax = plt.subplots(figsize=figsize)
ax.set_axis_off()
tb = Table(ax, bbox=[0, 0, 1, 1])
num_cols, num_rows = len(df.columns), len(df.index)
width, height = 1.0 / num_cols, 1.0 / num_rows
# add table cells
loc='center'
for (i, j), val in np.ndenumerate(df):
value = df.iloc[i, j]
text_color = 'black'
cell_color = 'none'
if fill_color is not None:
cell_color = fill_color
if isinstance(value, int) or isinstance(value, float):
if np.isnan(value):
continue
if positive_color is not None and value >= 0:
text_color = positive_color
if positive_fill_color is not None and value >= 0:
cell_color = positive_fill_color
if negative_color is not None and value < 0:
text_color = negative_color
if negative_fill_color is not None and value < 0:
cell_color = negative_fill_color
if value_format == 'text':
tb.add_cell(i + 1, j + 1, width, height, text=str(val), loc=loc, facecolor=cell_color)
elif value_format == 'numeric':
value_str = str(round(val, decimals))
tb.add_cell(i + 1, j + 1, width, height, text=value_str, loc=loc, facecolor=cell_color)
tb._cells[(i+1, j+1)]._text.set_color(text_color)
elif isinstance(value, pd.tslib.Timestamp):
tb.add_cell(i + 1, j + 1, width, height, text=val.strftime('%d-%b-%Y'), loc=loc, facecolor=cell_color)
tb._cells[(i+1, j+1)]._text.set_color(text_color)
else:
tb.add_cell(i + 1, j + 1, width, height, text=str(val), loc=loc, facecolor=cell_color)
tb._cells[(i+1, j+1)]._text.set_color(text_color)
if index_color is None:
index_color='black'
if index_fill_color is not None:
cell_color = index_fill_color
else:
cell_color = 'none'
# row labels
for i, label in enumerate(df.index):
tb.add_cell(i + 1, 0, width, height, text=label, loc=loc, edgecolor='none', facecolor=cell_color)
tb._cells[(i+1, 0)]._text.set_color(index_color)
if header_color is None:
header_color='black'
if header_fill_color is not None:
cell_color = header_fill_color
else:
cell_color = 'none'
# column labels
for j, label in enumerate(df.columns):
tb.add_cell(0, j + 1, width, height, text=label, loc=loc, edgecolor='none', facecolor=cell_color)
tb._cells[(i+1, 0)]._text.set_color(header_color)
# set font size
if fontsize is not None:
tb_cells = tb.properties()['child_artists']
for cell in tb_cells:
cell.set_fontsize(fontsize)
# add table to figure
ax.add_table(tb)
# set title
if title is not None:
if fontsize is not None:
ax.set_title(title, fontsize=fontsize)
else:
ax.set_title(title)
plt.tight_layout()
return fig
def table_plot(df,
figsize=(12, 9),
value_format='text',
fontsize=None,
positive_color=None,
negative_color=None,
header_color=None,
index_color=None,
fill_color=None,
positive_fill_color=None,
negative_fill_color=None,
header_fill_color=None,
index_fill_color=None,
title=None,
decimals=2,
**kwargs):
"""
Plot DataFrame as a table
Parameters
----------
df : DataFrame
Data to be plotted as a table
figsize : tuple, optional
2-ple of (x, y) dimensions for figures in inches
value_format : string, optional
Format of the table values. Options supported are 'text' and 'numeric'.
fontsize : int, optional
Font size
positive_color : string, optional
Color to print positive values
negative_color : string, optional
Color to print negative cells
header_color : string, optional
Color to print header values
index_color : string, optional
Color to print index values
fill_color : string, optional
Color to fill table cells
positive_fill_color : string, optional
Color to fill cells with positive values
negative_fill_color : string, optional
Color to fill cells with negative values
header_fill_color : string, optional
Color to fill header cells
index_fill_color : string, optional
Color to fill index cells
title : string, optional
Table title
decimals : int, optional
If value_format is numeric, the number of decimal places used to round values
Returns
-------
fig : Figure
Figure containing the table plot
"""
if not isinstance(df, pd.DataFrame):
raise TypeError('df should be a DataFrame object')
if value_format not in ['text', 'numeric']:
raise ValueError('%s is not a valid format' % value_format)
# draw table
fig, ax = plt.subplots(figsize=figsize)
ax.set_axis_off()
tb = Table(ax, bbox=[0, 0, 1, 1])
num_cols, num_rows = len(df.columns), len(df.index)
width, height = 1.0 / num_cols, 1.0 / num_rows
# add table cells
loc = 'center'
for (i, j), val in np.ndenumerate(df):
value = df.iloc[i, j]
text_color = 'black'
cell_color = 'none'
if fill_color is not None:
cell_color = fill_color
if isinstance(value, int) or isinstance(value, float):
if np.isnan(value):
continue
if positive_color is not None and value >= 0:
text_color = positive_color
if positive_fill_color is not None and value >= 0:
cell_color = positive_fill_color
if negative_color is not None and value < 0:
text_color = negative_color
if negative_fill_color is not None and value < 0:
cell_color = negative_fill_color
if value_format == 'text':
tb.add_cell(i + 1,
j + 1,
width,
height,
text=str(val),
loc=loc,
facecolor=cell_color)
elif value_format == 'numeric':
value_str = str(round(val, decimals))
tb.add_cell(i + 1,
j + 1,
width,
height,
text=value_str,
loc=loc,
facecolor=cell_color)
tb._cells[(i + 1, j + 1)]._text.set_color(text_color)
elif isinstance(value, pd.tslib.Timestamp):
tb.add_cell(i + 1,
j + 1,
width,
height,
text=val.strftime('%d-%b-%Y'),
loc=loc,
facecolor=cell_color)
tb._cells[(i + 1, j + 1)]._text.set_color(text_color)
else:
tb.add_cell(i + 1,
j + 1,
width,
height,
text=str(val),
loc=loc,
facecolor=cell_color)
tb._cells[(i + 1, j + 1)]._text.set_color(text_color)
if index_color is None:
index_color = 'black'
if index_fill_color is not None:
cell_color = index_fill_color
else:
cell_color = 'none'
# row labels
for i, label in enumerate(df.index):
tb.add_cell(i + 1,
0,
width,
height,
text=label,
loc=loc,
edgecolor='none',
facecolor=cell_color)
tb._cells[(i + 1, 0)]._text.set_color(index_color)
if header_color is None:
header_color = 'black'
if header_fill_color is not None:
cell_color = header_fill_color
else:
cell_color = 'none'
# column labels
for j, label in enumerate(df.columns):
tb.add_cell(0,
j + 1,
width,
height,
text=label,
loc=loc,
edgecolor='none',
facecolor=cell_color)
tb._cells[(i + 1, 0)]._text.set_color(header_color)
# set font size
if fontsize is not None:
tb_cells = tb.properties()['child_artists']
for cell in tb_cells:
cell.set_fontsize(fontsize)
# add table to figure
ax.add_table(tb)
# set title
if title is not None:
if fontsize is not None:
ax.set_title(title, fontsize=fontsize)
else:
ax.set_title(title)
plt.tight_layout()
return fig
