def plot(self, table, axes):
colors = Qualitative()
legend_lines = []
x_column = table.columns[self._x_column_name]
if not isinstance(x_column.data_type, agate.Number) and \
not isinstance(x_column.data_type, agate.Date) and \
not isinstance(x_column.data_type, agate.DateTime):
raise ValueError('Only Number, Date and DateTime data are supported for line chart X-axis.')
for y_column_name in self._y_column_names:
y_column = table.columns[y_column_name]
if not isinstance(y_column.data_type, agate.Number):
raise ValueError('Only Number data is supported for line chart Y-axis.')
plot_lines = axes.plot(
x_column,
y_column,
linewidth=2,
color=colors.next(),
label=y_column_name
)
legend_lines.append(plot_lines[0])
axes.set_xlabel(self._x_column_name)
if len(self._y_column_names) == 1:
axes.set_ylabel(self._y_column_names[0])
return (legend_lines, self._y_column_names)
def plot(self, table, axes):
colors = Qualitative()
legend_lines = []
x_column = table.columns[self._x_column_name]
if not isinstance(x_column.data_type, agate.Number) and \
not isinstance(x_column.data_type, agate.Date) and \
not isinstance(x_column.data_type, agate.DateTime):
raise ValueError(
'Only Number, Date and DateTime data are supported for line chart X-axis.'
)
for y_column_name in self._y_column_names:
y_column = table.columns[y_column_name]
if not isinstance(y_column.data_type, agate.Number):
raise ValueError(
'Only Number data is supported for line chart Y-axis.')
plot_lines = axes.plot(x_column,
y_column,
linewidth=2,
color=colors.next(),
label=y_column_name)
legend_lines.append(plot_lines[0])
axes.set_xlabel(self._x_column_name)
if len(self._y_column_names) == 1:
axes.set_ylabel(self._y_column_names[0])
return (legend_lines, self._y_column_names)
def plot(self, table, axes):
label_column = table.columns[self._label_column_name]
if not isinstance(label_column.data_type, agate.Text) and \
not isinstance(label_column.data_type, agate.Number) and \
not isinstance(label_column.data_type, agate.Date):
raise ValueError(
'Only Text, Number and Date data are supported for bar chart labels.'
)
series_count = len(self._value_column_names)
positions = range(len(label_column))
colors = Qualitative()
legend_bars = []
bar_area = 0.65
bar_height = bar_area / len(self._value_column_names)
# Display first value at the top of the chart.
positions.reverse()
for i, value_column_name in enumerate(self._value_column_names):
value_column = table.columns[value_column_name]
if not isinstance(value_column.data_type, agate.Number):
raise ValueError(
'Only Number data is supported for bar chart values.')
series_positions = []
for j in positions:
series_positions.append(j + (series_count - i) * bar_height)
plot_bars = axes.barh(series_positions,
value_column,
bar_height,
color=colors.next(),
linewidth=0,
label=value_column_name)
legend_bars.append(plot_bars[0])
axes.set_ylabel(self._label_column_name)
axes.set_yticks([
p + (series_count - i) * bar_height + (bar_area / 2)
for p in positions
])
axes.set_yticklabels(table.columns[self._label_column_name])
if len(self._value_column_names) == 1:
axes.set_xlabel(self._value_column_names[0])
return (legend_bars, self._value_column_names)
def plot(self, table, axes):
label_column = table.columns[self._label_column_name]
if (
not isinstance(label_column.data_type, agate.Text)
and not isinstance(label_column.data_type, agate.Number)
and not isinstance(label_column.data_type, agate.Date)
):
raise ValueError("Only Text, Number and Date data are supported for bar chart labels.")
series_count = len(self._value_column_names)
positions = range(len(label_column))
colors = Qualitative()
legend_bars = []
bar_area = 0.65
bar_height = bar_area / len(self._value_column_names)
# Display first value at the top of the chart.
positions.reverse()
for i, value_column_name in enumerate(self._value_column_names):
value_column = table.columns[value_column_name]
if not isinstance(value_column.data_type, agate.Number):
raise ValueError("Only Number data is supported for bar chart values.")
series_positions = []
for j in positions:
series_positions.append(j + (series_count - i) * bar_height)
plot_bars = axes.barh(
series_positions, value_column, bar_height, color=colors.next(), linewidth=0, label=value_column_name
)
legend_bars.append(plot_bars[0])
axes.set_ylabel(self._label_column_name)
axes.set_yticks([p + (series_count - i) * bar_height + (bar_area / 2) for p in positions])
axes.set_yticklabels(table.columns[self._label_column_name])
if len(self._value_column_names) == 1:
axes.set_xlabel(self._value_column_names[0])
return (legend_bars, self._value_column_names)
def plot(self, table, axes):
label_column = table.columns[self._label_column_name]
if not isinstance(label_column.data_type, agate.Text) and \
not isinstance(label_column.data_type, agate.Number) and \
not isinstance(label_column.data_type, agate.Date):
raise ValueError('Only Text, Number and Date data are supported for bar chart labels.')
positions = range(len(label_column))
colors = Qualitative()
legend_bars = []
bar_area = 0.65
bar_width = bar_area / len(self._value_column_names)
for i, value_column_name in enumerate(self._value_column_names):
value_column = table.columns[value_column_name]
if not isinstance(value_column.data_type, agate.Number):
raise ValueError('Only Number data is supported for column chart values.')
series_positions = []
for j in positions:
series_positions.append(positions[j] + (i * bar_width))
plot_bars = axes.bar(
series_positions,
value_column,
bar_width,
color=colors.next(),
linewidth=0,
label=value_column_name
)
legend_bars.append(plot_bars[0])
axes.set_xlabel(self._label_column_name)
axes.set_xticks([p + (bar_area / 2) for p in positions])
axes.set_xticklabels(table.columns[self._label_column_name])
if len(self._value_column_names) == 1:
axes.set_ylabel(self._value_column_names[0])
return (legend_bars, self._value_column_names)
