Beispiel #1
0
def ibar(indicator, new=True, axes=None, 
         legend_on=False, text_on=False, text_color='k', label=None,
         width=0.4, color='r', edgecolor='r', 
         zero_on=False, *args, **kwargs):
    """绘制indicator柱状图
    
    :param Indicator indicator: Indicator实例
    :param axes:       指定的坐标轴
    :param new:        是否在新窗口中显示,只在没有指定axes时生效
    :param legend_on:  是否打开图例
    :param text_on:    是否在左上角显示指标名称及其参数
    :param text_color: 指标名称解释文字的颜色,默认为黑色
    :param str label:  label显示文字信息,text_on 及 legend_on 为 True 时生效
    :param zero_on:    是否需要在y=0轴上绘制一条直线
    :param width:      Bar的宽度
    :param color:      Bar的颜色
    :param edgecolor:  Bar边缘颜色
    :param args:       pylab plot参数
    :param kwargs:     pylab plot参数
    """
    if not indicator:
        print("indicator is None")
        return
    
    if not axes:
        axes = create_figure() if new else gca()

    if not label:
        label = "%s %.2f" % (indicator.long_name, indicator[-1])
    
    py_indicatr = [ None if x == constant.null_price else x for x in indicator]
    x = [i-0.2 for i in range(len(indicator))]
    y = py_indicatr
    
    axes.bar(x, py_indicatr, width=width, color=color, edgecolor=edgecolor, 
             *args, **kwargs)
        
    if legend_on:
        leg = axes.legend(loc='upper left')
        leg.get_frame().set_alpha(0.5)
        
    if text_on:
        if not axes.texts:
            axes.text(0.01,0.97, label, horizontalalignment='left', verticalalignment='top', 
                      transform=axes.transAxes, color=text_color)
        else:
            temp_str = axes.texts[0].get_text() + '  ' + label
            axes.texts[0].set_text(temp_str)
        
    if zero_on:
        ylim = axes.get_ylim()
        if ylim[0]<0<ylim[1]:
            axes.hlines(0,0,len(indicator))

    axes.autoscale_view()
    axes.set_xlim(-1, len(indicator)+1)
Beispiel #2
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def main(fileName):
	imgName = fileName.replace('csv', 'png')

	df = pd.read_csv(fileName, names=['YEAR', 'SEASON', 'BASIN_CD', 'BASIN_MAP', 'STN_CD', 'STN_MAP'])
	
	df['SEASON'].replace(r'^S', '',inplace=True, regex=True)
	df['SEASON'].astype(float)

	startYear = min(df.YEAR)
	endYear = max(df.YEAR)

	yearCount = 0

	columns = 9
	rows = 5

	fig, ax_array = plt.subplots(rows, columns, figsize=(55,30))
	for i, ax_row in enumerate(ax_array):
		for j, axes in enumerate(ax_row):
			currentYear = str(startYear + yearCount)
			axes.set_title('Year: ' + currentYear)

			df2 = df.query('YEAR==' + str(currentYear))
			basinCd = df2.BASIN_CD[yearCount * len(df2)]
			stnCd = df2.STN_CD[yearCount * len(df2)]

			basinLegend = 'BASIN(' + str(basinCd) + ')'
			stnLegend = 'STN(' + str(stnCd) + ')'

			seasonList = pd.Series([1, 2, 3, 4], dtype='float')

			axes.bar(seasonList + 0.14, df2.BASIN_MAP, color = 'b', width = 0.25)
			axes.bar(seasonList - 0.14, df2.STN_MAP, color = 'r', width = 0.25)
			axes.legend([basinLegend, stnLegend])
			axes.set_xlabel('Season', size=12)
			axes.set_ylabel('Prcp(mm)', size=12)
			axes.set_xticks(range(int(1), int(4) + 1, 1))
			axes.set_xticklabels(['Spring', 'Summer', 'Autumn', 'Winter'])
			#axes.grid(True)

			yearCount = yearCount + 1

	savefig('graph_season/' + imgName)
Beispiel #3
0
def ibar(
    indicator,
    new=True,
    axes=None,
    legend_on=False,
    text_on=False,
    text_color='k',
    label=None,
    width=0.4,
    color='r',
    edgecolor='r',
    zero_on=False,
    *args,
    **kwargs
):
    """绘制indicator柱状图
    
    :param Indicator indicator: Indicator实例
    :param axes:       指定的坐标轴
    :param new:        是否在新窗口中显示,只在没有指定axes时生效
    :param legend_on:  是否打开图例
    :param text_on:    是否在左上角显示指标名称及其参数
    :param text_color: 指标名称解释文字的颜色,默认为黑色
    :param str label:  label显示文字信息,text_on 及 legend_on 为 True 时生效
    :param zero_on:    是否需要在y=0轴上绘制一条直线
    :param width:      Bar的宽度
    :param color:      Bar的颜色
    :param edgecolor:  Bar边缘颜色
    :param args:       pylab plot参数
    :param kwargs:     pylab plot参数
    """
    if not indicator:
        print("indicator is None")
        return

    if not axes:
        axes = create_figure() if new else gca()

    if not label:
        label = "%s %.2f" % (indicator.long_name, indicator[-1])

    py_indicatr = [None if x == constant.null_price else x for x in indicator]
    x = [i - 0.2 for i in range(len(indicator))]
    y = py_indicatr

    axes.bar(x, py_indicatr, width=width, color=color, edgecolor=edgecolor, *args, **kwargs)

    if legend_on:
        leg = axes.legend(loc='upper left')
        leg.get_frame().set_alpha(0.5)

    if text_on:
        if not axes.texts:
            axes.text(
                0.01,
                0.97,
                label,
                horizontalalignment='left',
                verticalalignment='top',
                transform=axes.transAxes,
                color=text_color
            )
        else:
            temp_str = axes.texts[0].get_text() + '  ' + label
            axes.texts[0].set_text(temp_str)

    if zero_on:
        ylim = axes.get_ylim()
        if ylim[0] < 0 < ylim[1]:
            axes.hlines(0, 0, len(indicator))

    axes.autoscale_view()
    axes.set_xlim(-1, len(indicator) + 1)
    k = indicator.get_context()
    if len(k) > 0:
        ax_set_locator_formatter(axes, k.get_date_list(), k.get_query().ktype)
Beispiel #4
0
def iplot(indicator,
          new=True,
          axes=None,
          legend_on=False,
          text_on=False,
          text_color='k',
          zero_on=False,
          label=None,
          *args,
          **kwargs):
    """绘制indicator曲线
    
    :param Indicator indicator: indicator实例
    :param axes:            指定的坐标轴
    :param new:             是否在新窗口中显示,只在没有指定axes时生效
    :param legend_on:       是否打开图例
    :param text_on:         是否在左上角显示指标名称及其参数
    :param text_color:      指标名称解释文字的颜色,默认为黑色
    :param zero_on:         是否需要在y=0轴上绘制一条直线
    :param str label:       label显示文字信息,text_on 及 legend_on 为 True 时生效
    :param args:            pylab plot参数
    :param kwargs:          pylab plot参数,如:marker(标记类型)、
                             markerfacecolor(标记颜色)、
                             markeredgecolor(标记的边缘颜色)
    """
    if not indicator:
        print("indicator is None")
        return

    if not axes:
        axes = create_figure() if new else gca()

    if not label:
        label = "%s %.2f" % (indicator.long_name, indicator[-1])

    py_indicatr = [None if x == constant.null_price else x for x in indicator]
    axes.plot(py_indicatr, '-', label=label, *args, **kwargs)

    if legend_on:
        leg = axes.legend(loc='upper left')
        leg.get_frame().set_alpha(0.5)

    if text_on:
        if not axes.texts:
            axes.text(0.01,
                      0.97,
                      label,
                      horizontalalignment='left',
                      verticalalignment='top',
                      transform=axes.transAxes,
                      color=text_color)
        else:
            temp_str = axes.texts[0].get_text() + '  ' + label
            axes.texts[0].set_text(temp_str)

    if zero_on:
        ylim = axes.get_ylim()
        if ylim[0] < 0 < ylim[1]:
            axes.hlines(0, 0, len(indicator))

    axes.autoscale_view()
    axes.set_xlim(-1, len(indicator) + 1)
Beispiel #5
0
def ibar(indicator,
         axes=None,
         width=0.4,
         color='r',
         edgecolor='r',
         new=True,
         legend_on=False,
         text_on=False,
         text_color='k',
         label=None,
         zero_on=False,
         *args,
         **kwargs):
    """绘制indicator曲线
    indicator: Indicator实例
    axes: 指定的坐标轴
    new: 是否在新窗口中显示,只在没有指定axes时生效
    legend_on : 是否打开图例
    text_on: 是否在左上角显示指标名称及其参数
    text_color: 指标名称解释文字的颜色,默认为黑色
    zero_on: 是否需要在y=0轴上绘制一条直线
    *args, **kwargs : pylab bar参数
    """
    if not indicator:
        print("indicator is None")
        return

    if not axes:
        axes = create_one_axes_figure() if new else gca()

    if not label:
        label = "%s %.2f" % (indicator.long_name, indicator[-1])

    py_indicatr = [None if x == constant.null_price else x for x in indicator]
    x = [i - 0.2 for i in range(len(indicator))]
    y = py_indicatr

    axes.bar(x,
             py_indicatr,
             width=width,
             color=color,
             edgecolor=edgecolor,
             *args,
             **kwargs)

    if legend_on:
        leg = axes.legend(loc='upper left')
        leg.get_frame().set_alpha(0.5)

    if text_on:
        if not axes.texts:
            axes.text(0.01,
                      0.97,
                      label,
                      horizontalalignment='left',
                      verticalalignment='top',
                      transform=axes.transAxes,
                      color=text_color)
        else:
            temp_str = axes.texts[0].get_text() + '  ' + label
            axes.texts[0].set_text(temp_str)

    if zero_on:
        ylim = axes.get_ylim()
        if ylim[0] < 0 < ylim[1]:
            axes.hlines(0, 0, len(indicator))

    axes.autoscale_view()
    axes.set_xlim(-1, len(indicator) + 1)