Node:line_plot,
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Line and scatter plots
XXX %%line_plot.T
Default: None. Specifies the data points. See chart_data.
|
data_label_format printf format string
|
Attribute |
Default: None. The format string for the label printed
beside a sample point.
It can be a `printf' style format string, or
a two-parameter function that takes the (x, y)
values and returns a string. The appearance of the string produced here can be
controlled using escape sequences. See font.
|
data_label_offset (x,y)
|
Attribute |
Default: (0, 5). The location of data labels relative to the sample point. Meaningful only when data_label_format != None.
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error_bar <class 'pychart.error_bar.Base'>
|
Attribute |
Default: None. The style of the error bar. See error_bar.
|
Default: "???". The label to be displayed in the legend. See legend., See font.
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line_style <class 'pychart.line_style.T'>
|
Attribute |
Default: By default, a style is picked from standard styles round-robin. See line_style.. The style of the line.
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tick_mark <class 'pychart.tick_mark.Base'>
|
Attribute |
Default: None. Tick marks to be displayed at each sample point.
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Default: 0. The column, within "data", from which the X values of sample points are extracted. See chart_data.
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y_error_minus_col int
|
Attribute |
Default: 2. The column (within "data") from which the depth of the errorbar is extracted. Meaningful only when error_bar != None. See error_bar.
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y_error_plus_col int
|
Attribute |
Default: None. The column (within "data") from which the height of the errorbar is extracted. Meaningful only when error_bar != None. See error_bar.
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y_qerror_minus_col int
|
Attribute |
y_qerror_plus_col int
|
Attribute |
Default: 1. The column, within "data", from which the Y values of sample points are extracted. See chart_data.
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Sample line plot
Below is the source code that produces the above chart.
from pychart import *
theme.get_options()
data = chart_data.read_csv("lines.csv")
xaxis=axis.X(label="X", tic_interval=10)
yaxis=axis.Y(label="Y", tic_interval=10)
ar = area.T(x_range=(0,100), y_range=(0,100), x_axis=xaxis, y_axis=yaxis)
eb = error_bar.error_bar2(tic_len=5, hline_style=line_style.gray50)
ar.add_plot(line_plot.T(label="foo", data=data, error_bar=eb, y_error_minus_col=3),
line_plot.T(label="bar", data=data, ycol=2, error_bar=eb, y_error_minus_col=3))
ar.draw()
tb = text_box.T(loc=(40, 130), text="This is\nimportant!", line_style=None)
tb.add_arrow((ar.x_pos(data[6][0]), ar.y_pos(data[6][1])), "cb")
tb.draw()
ar = area.T(loc=(200, 0), x_range=(0,100), y_range=(0,100),
x_axis=xaxis, y_axis=yaxis, legend=legend.T())
ar.add_plot(line_plot.T(label="foo", data=data, data_label_format="/8{}%d"),
line_plot.T(label="bar", data=data, ycol=2))
ar.draw()
Scatter plots can be created by setting the line_style
attribute
to None
. See the next example.
Sample scatter plot
Below is the source code that produces the above chart.
from pychart import *
import whrandom
def randomdata():
data = []
for i in range(0, 30):
data.append((whrandom.random() * 1000, whrandom.random() * 1000))
return data
theme.get_options()
chart_object.set_defaults(line_plot.T, line_style=None)
tick1 = tick_mark.Circle(size=2)
tick2 = tick_mark.Circle(size=2, fill_style=fill_style.black)
xaxis = axis.X(label="foo", format="/a-60{}%d")
yaxis = axis.Y(label="bar")
ar = area.T(x_axis=xaxis, y_axis=yaxis,
x_grid_interval=100, x_grid_style=line_style.gray70_dash3,
legend = legend.T(loc=(350, 50)), loc = (0, 0))
ar.add_plot(line_plot.T(label="plot1", data=randomdata(), tick_mark=tick1))
ar.add_plot(line_plot.T(label="plot2", data=randomdata(), tick_mark=tick2))
ar.draw()
xaxis = axis.X(label="foo", format="/a-30{}%d")
yaxis = axis.Y(label="bar")
ar = area.T(x_axis=xaxis, y_axis=yaxis,
x_coord=log_coord.T(), y_coord=log_coord.T(), loc = (200, 0),
legend = None)
ar.add_plot(line_plot.T(label="plot1", data=randomdata(), tick_mark=tick1))
ar.add_plot(line_plot.T(label="plot2", data=randomdata(), tick_mark=tick2))
ar.draw()
- tick_mark: Drawing a funny symbol drawn at each sample point.
- error_bar: Drawing error bars