lazyplot 0.1.7

plot matplotlib graph easily

lazyplot

Module for using matplotlib easily.

install

pip install lazyplot

usage

lazy_plot

Draw graphs by entering only np.ndarray data.

from lazyplot import lazy_plot
x = np.random.rand(3, 30)
lazy_plot(x)

# Simple customization
lazy_plot(x, figure_config={"figsize"=(8,20), "colmuns"=2, "plot_type_2d"="plot"})

custom plot

Draw more detailed graph by using user-specified LazyAxes

from lazyplot import LazyAxes, custom_plot
draw_info = LazyAxes(y=np.random.rand(2,30), title="random value", plot_type="scatter", color="blue")
custom_plot(draw_info)

FigureConfig

FigreConfig can be overridden by giving a dictionary-type configuration item to the figure_config of lazy_plot and custom_plot.

• figsize (tuple[int, int])figsize of matplotlib.Figure (default= (5, 4))

• layout ("tight" | "constrained") : layout of matplotlib.Figure (default= "constrained")

• linewidth (float) : linewidth of graph (default= 2.0)

• columns (int) : number of columns in graph display. (default= 1)

• plot_type_1d ("plot" | "hist" | "bar"): default plot type of 1 demensional array. (default= "plot")

• plot_type_1d ("plot" | "scatter" | "imshow" | "boxplot"): default plot type of 2 demensional array. (default= "imshow")

• plot_type_3d ("scatter"): default plot type of 3 demensional array. (default= "scatter")

• dpi (float) : dpi of matplotlib.Figure (default= 100)

LazyAxes

• y (np.ndarray) *REQUIRED

• plot_type ("plot" | "hist" | "bar" | "scatter" | "imshow" | "boxplot") *REQUIRED

• title (str)

• t (np.ndarray)

• labels (list[str])

• x_label (str)

• y_label (str)

• x_lim (tuple[float|None, float|None])

• y_lim (tuple[float|None, float|None])

• color (list[str | tuple[int, int, int]])

• alpha (float)

• line_style (list[str])

• marker_style (list[str])

• linewidth (float)

• aspect (float | Literal["auto"])

• invert_xaxis (bool)

• invert_yaxis (bool)