文章目錄

• doc
• • from matplotlib.pyplot.py
  • from matplotlib.axes._axes.py
• 官網說明:
• 引用

doc

from matplotlib.pyplot.py

# Autogenerated by boilerplate.py. Do not edit as changes will be lost. @docstring.copy(Axes.plot) def plot(*args, scalex=True, scaley=True, data=None, **kwargs):return gca().plot(*args, scalex=scalex, scaley=scaley, **({"data": data} if datais not None else {}), **kwargs)

from matplotlib.axes._axes.py

# Uses a custom implementation of data-kwarg handling in# _process_plot_var_args.在＃_process_plot_var_args中使用自定義的數據扭曲處理實現。@docstring.dedent_interpddef plot(self, *args, scalex=True, scaley=True, data=None, **kwargs):"""Plot y versus x as lines and/or markers.繪制y相對于x的線條和/或標記。Call signatures:: 調用簽名plot([x], y, [fmt], *, data=None, **kwargs)plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)The coordinates of the points or line nodes are given by *x*, *y*.點或線節點的坐標由* x *，* y *給出。The optional parameter *fmt* is a convenient way for defining basicformatting like color, marker and linestyle. It's a shortcut stringnotation described in the *Notes* section below.可選參數* fmt *是定義基本格式（如顏色，標記和線條樣式）的便捷方法。 這是下面* Notes *部分中描述的快捷方式字符串符號。>>> plot(x, y) # plot x and y using default line style and color使用默認線條樣式和顏色繪制x和y>>> plot(x, y, 'bo') # plot x and y using blue circle markers使用藍色圓圈標記繪制x和y>>> plot(y) # plot y using x as index array 0..N-1使用x作為索引數組0..N-1繪制y>>> plot(y, 'r+') # ditto, but with red plusses同上，但帶有紅色加號You can use `.Line2D` properties as keyword arguments for morecontrol on the appearance. Line properties and *fmt* can be mixed.The following two calls yield identical results:您可以將.Line2D屬性用作關鍵字參數，以更好地控制外觀。 線屬性和* fmt *可以混合使用。 以下兩個調用產生相同的結果：>>> plot(x, y, 'go--', linewidth=2, markersize=12)>>> plot(x, y, color='green', marker='o', linestyle='dashed',... linewidth=2, markersize=12)When conflicting with *fmt*, keyword arguments take precedence.與* fmt *沖突時，關鍵字參數優先。**Plotting labelled data 繪制標簽數據**There's a convenient way for plotting objects with labelled data (i.e.data that can be accessed by index ``obj['y']``). Instead of givingthe data in *x* and *y*, you can provide the object in the *data*parameter and just give the labels for *x* and *y*::有一種方便的方法可以繪制帶有標簽數據的對象（即可以通過索引``obj ['y']''訪問的數據）。 您可以在* data *參數中提供對象，而不必為* x *和* y *提供數據，而只需為* x *和* y *提供標簽：>>> plot('xlabel', 'ylabel', data=obj)All indexable objects are supported. This could e.g. be a `dict`, a`pandas.DataFame` or a structured numpy array.支持所有可索引對象。 例如 是dict，pandas.DataFrame或結構化numpy數組。**Plotting multiple sets of data 繪制多組數據**There are various ways to plot multiple sets of data.有多種方法可以繪制多組數據。- The most straight forward way is just to call `plot` multiple times.- 最直接的方法是多次調用“ plot”。Example:>>> plot(x1, y1, 'bo')>>> plot(x2, y2, 'go')示例：import numpy as npimport matplotlib.pyplot as pltx1=np.array([1,2,3])y1=np.array([1,2,3])x2=np.array([1,2,3])y2=np.array([5,6,7])plt.plot(x1, y1, 'bo')plt.plot(x2, y2, 'go')- Alternatively, if your data is already a 2d array, you can pass itdirectly to *x*, *y*. A separate data set will be drawn for everycolumn.或者，如果您的數據已經是2d數組，則可以將其直接傳遞給* x *，* y *。 將為每一列繪制一個單獨的數據集。Example: an array ``a`` where the first column represents the *x*values and the other columns are the *y* columns::示例：數組“ a”，其中第一列表示* x *值，其他列為* y *列：：>>> plot(a[0], a[1:])- The third way is to specify multiple sets of *[x]*, *y*, *[fmt]*groups::第三種方法是指定多組* [x] *，* y *，* [fmt] *組：>>> plot(x1, y1, 'g^', x2, y2, 'g-')In this case, any additional keyword argument applies to alldatasets. Also this syntax cannot be combined with the *data*parameter.在這種情況下，任何其他關鍵字參數都適用于所有數據集。 同樣，此語法不能與* data *參數結合使用。By default, each line is assigned a different style specified by a'style cycle'. The *fmt* and line property parameters are onlynecessary if you want explicit deviations from these defaults.Alternatively, you can also change the style cycle using the'axes.prop_cycle' rcParam.默認情況下，為每行分配一個由“樣式循環”指定的不同樣式。 * fmt *和line屬性參數僅在您希望與這些默認值明顯不同時才需要。 * 另外，您也可以使用'axes.prop_cycle'rcParam更改樣式周期。Parameters----------x, y : array-like or scalarThe horizontal / vertical coordinates of the data points.*x* values are optional and default to `range(len(y))`.數據點的水平/垂直坐標。 * x *值是可選的，默認為`range（len（y））`。Commonly, these parameters are 1D arrays.通常，這些參數是一維數組。They can also be scalars, or two-dimensional (in that case, thecolumns represent separate data sets).它們也可以是標量，也可以是二維的（在這種情況下，列代表單獨的數據集）。These arguments cannot be passed as keywords.這些參數不能作為關鍵字傳遞。fmt : str, optionalA format string, e.g. 'ro' for red circles. See the *Notes*section for a full description of the format strings.格式字符串，例如 紅色圓圈為“ ro”。 有關格式字符串的完整說明，請參見* Notes *部分。Format strings are just an abbreviation for quickly settingbasic line properties. All of these and more can also becontrolled by keyword arguments.格式字符串只是用于快速設置基本行屬性的縮寫。 所有這些以及更多這些都可以通過關鍵字參數來控制。This argument cannot be passed as keyword.此參數不能作為關鍵字傳遞。data : indexable object, optionalAn object with labelled data. If given, provide the label names toplot in *x* and *y*.具有標簽數據的對象。 如果提供，請提供要在* x *和* y *中繪制的標簽名稱。.. note::Technically there's a slight ambiguity in calls where thesecond label is a valid *fmt*. `plot('n', 'o', data=obj)`could be `plt(x, y)` or `plt(y, fmt)`. In such cases,the former interpretation is chosen, but a warning is issued.從技術上講，第二個標簽是有效的* fmt *時，通話中存在一些歧義。plot（'n'，'o'，data = obj）`可以是`plt（x，y）`或`plt（y，fmt）`。 在這種情況下，選擇前一種解釋，但會發出警告。You may suppress the warning by adding an empty format string`plot('n', 'o', '', data=obj)`.您可以通過添加一個空的格式字符串`plot（'n'，'o'，''，data = obj）來抑制該警告。Other Parameters----------------scalex, scaley : bool, optional, default: TrueThese parameters determined if the view limits are adapted tothe data limits. The values are passed on to `autoscale_view`.這些參數確定視圖限制是否適合數據限制。 這些值將傳遞給“ autoscale_view”。**kwargs : `.Line2D` properties, optional*kwargs* are used to specify properties like a line label (forauto legends), linewidth, antialiasing, marker face color.* kwargs *用于指定屬性，例如線標簽（用于自動圖例），線寬，抗鋸齒，標記面顏色。Example::>>> plot([1,2,3], [1,2,3], 'go-', label='line 1', linewidth=2)>>> plot([1,2,3], [1,4,9], 'rs', label='line 2')If you make multiple lines with one plot command, the kwargsapply to all those lines.如果使用一個plot命令制作多條線，則kwarg應用于所有這些線。Here is a list of available `.Line2D` properties:這是一個可用的.Line2D屬性的列表：%(_Line2D_docstr)sReturns-------linesA list of `.Line2D` objects representing the plotted data.代表所繪制數據的.Line2D對象列表。See Also--------scatter : XY scatter plot with markers of varying size and/or color (sometimes also called bubble chart).帶有不同大小和/或顏色的標記的XY散點圖（有時也稱為氣泡圖）。Notes-----**Format Strings**A format string consists of a part for color, marker and line::fmt = '[marker][line][color]'格式字符串由顏色，標記和線條組成：fmt ='[marker] [line] [color]'Each of them is optional. If not provided, the value from the stylecycle is used. Exception: If ``line`` is given, but no ``marker``,the data will be a line without markers.它們每個都是可選的。 如果未提供，則使用樣式周期中的值。 例外：如果給出了“ line”，但沒有給出“ marker”，則數據將是沒有標記的一行。Other combinations such as ``[color][marker][line]`` are alsosupported, but note that their parsing may be ambiguous.還支持其他組合，例如“ [color] [marker] [line]”，但請注意，它們的解析可能不明確。**Markers**============= ===============================character description============= ===============================``'.'`` point marker``','`` pixel marker``'o'`` circle marker``'v'`` triangle_down marker``'^'`` triangle_up marker``'<'`` triangle_left marker``'>'`` triangle_right marker``'1'`` tri_down marker``'2'`` tri_up marker``'3'`` tri_left marker``'4'`` tri_right marker``'s'`` square marker``'p'`` pentagon marker 五邊形標記``'*'`` star marker``'h'`` hexagon1 marker``'H'`` hexagon2 marker``'+'`` plus marker``'x'`` x marker``'D'`` diamond marker``'d'`` thin_diamond marker``'|'`` vline marker``'_'`` hline marker============= ===============================**Line Styles**============= ===============================character description============= ===============================``'-'`` solid line style``'--'`` dashed line style``'-.'`` dash-dot line style``':'`` dotted line style============= ===============================Example format strings::'b' # blue markers with default shape'or' # red circles'-g' # green solid line'--' # dashed line with default color'^k:' # black triangle_up markers connected by a dotted line黑色上三角形標記，由虛線連接**Colors**The supported color abbreviations are the single letter codes支持的顏色縮寫是單個字母代碼============= ===============================character color============= ===============================``'b'`` blue``'g'`` green``'r'`` red``'c'`` cyan``'m'`` magenta``'y'`` yellow``'k'`` black``'w'`` white============= ===============================and the ``'CN'`` colors that index into the default property cycle.以及“ CN”顏色可索引到默認屬性周期。If the color is the only part of the format string, you canadditionally use any `matplotlib.colors` spec, e.g. full names(``'green'``) or hex strings (``'#008000'``).如果顏色是格式字符串的唯一部分，則可以另外使用任何`matplotlib.colors`規范，例如 全名（``'green'''）或十六進制字符串（``'＃008000'``）。"""kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D._alias_map)lines = [*self._get_lines(*args, data=data, **kwargs)]for line in lines:self.add_line(line)self.autoscale_view(scalex=scalex, scaley=scaley)return lines

官網說明:

https://matplotlib.org/2.1.1/api/_as_gen/matplotlib.pyplot.plot.html

引用

https://blog.csdn.net/lllxxq141592654/article/details/81532855

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