module plotting.plot_helper
¶
Short summary¶
module pymlbenchmark.plotting.plot_helper
Plotting helpers
Functions¶
function |
truncated documentation |
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matplotlib uses a one dimension array if the number of columns or rows is 1. This function makes a correction. … |
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Filters out rows from a dataframe. |
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Returns a different colors, lighter or darker. |
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Makes color lighter or darker based on a style. |
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Converts a list of options into a label. |
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Returns matplotlib colors. |
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Returns matplotlib styles. |
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Removes the common prefix of a series of labels. |
Documentation¶
Plotting helpers
- pymlbenchmark.plotting.plot_helper.ax_position(shape, pos)¶
matplotlib uses a one dimension array if the number of columns or rows is 1. This function makes a correction.
- Parameters:
shape – graph shape
pos – graph current position
- Returns:
corrected position
<<<
from pymlbenchmark.plotting.plot_helper import ax_position print(ax_position((2, 2), (0, 0))) print(ax_position((1, 2), (0, 0)))
>>>
(0, 0) (0,)
- pymlbenchmark.plotting.plot_helper.filter_df_options(df, options)¶
Filters out rows from a dataframe.
- Parameters:
df – dataframe
options – options
- Returns:
filtered dataframe
<<<
from pymlbenchmark.plotting.plot_helper import filter_df_options from pandas import DataFrame df = DataFrame([ dict(i=1, t='aa', x=0.5), dict(i=2, t='bb', x=0.5), dict(i=2, t='aa', x=0.5), ]) sub = filter_df_options(df, {'i': 1, 't': 'aa'}) print(sub) sub = filter_df_options(df, [None]) print(sub)
>>>
i t x 0 1 aa 0.5 i t x 0 1 aa 0.5 1 2 bb 0.5 2 2 aa 0.5
- pymlbenchmark.plotting.plot_helper.list_col_options(df, cols)¶
- Parameters:
df – dataframe
cols – cols to look for options
- Returns:
options
Enumerate all coordinates
<<<
from pymlbenchmark.plotting.plot_helper import list_col_options from pandas import DataFrame df = DataFrame([ dict(i=1, t='aa', x=0.5), dict(i=2, t='bb', x=0.5), dict(i=2, t='aa', x=0.5), ]) for opt in list_col_options(df, ['i', 't']): print(opt) # if None... print(list_col_options(df, None))
>>>
{'i': 1, 't': 'aa'} {'i': 1, 't': 'bb'} {'i': 2, 't': 'aa'} {'i': 2, 't': 'bb'} [None]
- pymlbenchmark.plotting.plot_helper.move_color(color, add=2)¶
Returns a different colors, lighter or darker.
- Parameters:
color – name of something starting with
#
add – what to add to each color, positive to make it lighter
- Returns:
lighter column
- pymlbenchmark.plotting.plot_helper.move_color_add(style)¶
Makes color lighter or darker based on a style.
- pymlbenchmark.plotting.plot_helper.options2label(opt, sep=' ', format_number='{:.3g}')¶
Converts a list of options into a label.
- Parameters:
opt – dictionary
sep – separator
format_number – how to format real numbers
- Returns:
string
<<<
from pymlbenchmark.plotting.plot_helper import options2label res = options2label({'i': 1, 't': 'aa', 'x': 3.145667e10}) print(res)
>>>
i=1 t=aa x=3.15e+10
- pymlbenchmark.plotting.plot_helper.plt_colors()¶
Returns matplotlib colors.
<<<
from pymlbenchmark.plotting.plot_helper import plt_colors from pprint import pprint pprint(plt_colors())
>>>
['blue', 'orange', 'green', 'red', 'purple', 'brown', 'pink', 'gray', 'olive', 'cyan', 'aliceblue', 'antiquewhite', 'aqua', 'aquamarine', 'azure', 'beige', 'bisque', 'black', 'blanchedalmond', 'blue', 'blueviolet', 'brown', 'burlywood', 'cadetblue', 'chartreuse', 'chocolate', 'coral', 'cornflowerblue', 'cornsilk', 'crimson', 'cyan', 'darkblue', 'darkcyan', 'darkgoldenrod', 'darkgray', 'darkgreen', 'darkgrey', 'darkkhaki', 'darkmagenta', 'darkolivegreen', 'darkorange', 'darkorchid', 'darkred', 'darksalmon', 'darkseagreen', 'darkslateblue', 'darkslategray', 'darkslategrey', 'darkturquoise', 'darkviolet', 'deeppink', 'deepskyblue', 'dimgray', 'dimgrey', 'dodgerblue', 'firebrick', 'floralwhite', 'forestgreen', 'fuchsia', 'gainsboro', 'ghostwhite', 'gold', 'goldenrod', 'gray', 'green', 'greenyellow', 'grey', 'honeydew', 'hotpink', 'indianred', 'indigo', 'ivory', 'khaki', 'lavender', 'lavenderblush', 'lawngreen', 'lemonchiffon', 'lightblue', 'lightcoral', 'lightcyan', 'lightgoldenrodyellow', 'lightgray', 'lightgreen', 'lightgrey', 'lightpink', 'lightsalmon', 'lightseagreen', 'lightskyblue', 'lightslategray', 'lightslategrey', 'lightsteelblue', 'lightyellow', 'lime', 'limegreen', 'linen', 'magenta', 'maroon', 'mediumaquamarine', 'mediumblue', 'mediumorchid', 'mediumpurple', 'mediumseagreen', 'mediumslateblue', 'mediumspringgreen', 'mediumturquoise', 'mediumvioletred', 'midnightblue', 'mintcream', 'mistyrose', 'moccasin', 'navajowhite', 'navy', 'oldlace', 'olive', 'olivedrab', 'orange', 'orangered', 'orchid', 'palegoldenrod', 'palegreen', 'paleturquoise', 'palevioletred', 'papayawhip', 'peachpuff', 'peru', 'pink', 'plum', 'powderblue', 'purple', 'rebeccapurple', 'red', 'rosybrown', 'royalblue', 'saddlebrown', 'salmon', 'sandybrown', 'seagreen', 'seashell', 'sienna', 'silver', 'skyblue', 'slateblue', 'slategray', 'slategrey', 'snow', 'springgreen', 'steelblue', 'tan', 'teal', 'thistle', 'tomato', 'turquoise', 'violet', 'wheat', 'white', 'whitesmoke', 'yellow', 'yellowgreen']
- pymlbenchmark.plotting.plot_helper.plt_styles()¶
Returns matplotlib styles.
<<<
from pymlbenchmark.plotting.plot_helper import plt_styles from pprint import pprint pprint(plt_styles())
>>>
[('o', '-'), ('x', '-'), ('*', '-'), ('^', '-'), ('o', '--'), ('x', '--'), ('*', '--'), ('^', '--')]
- pymlbenchmark.plotting.plot_helper.remove_common_prefix(labels, drop_rename=None)¶
Removes the common prefix of a series of labels.
- Parameters:
labels – labels
drop_rename – skips those labels
- Returns:
stripped labels
<<<
from pymlbenchmark.plotting.plot_helper import remove_common_prefix labels = ["x=a", "x=b"] print(remove_common_prefix(labels))
>>>
['a', 'b']