不只是数据，还可以添加图表。# define the workbookworkbook = writer.bookworksheet = writer.sheets[sheet_name]# create a chart line objectchart = workbook.add_chart({'type': 'line'})# configure the series of the chart from the spreadsheet# using a list of values instead of category/value fo...
chart.add_series({'values':'=Sheet1!$B$1:$B$5'}) chart.add_series({'values':'=Sheet1!$C$1:$C$5'}) # 标题与标注 chart.set_title({"name":"直方图"}) chart.set_x_axis({'name':'这个是X轴'}) chart.set_y_axis({'name':'这个是Y轴'}) # 将绘制出来的图表插入到sheet当中 ...
# create a chart line object chart = workbook.add_chart({'type': 'line'}) # configure the series of the chart from the spreadsheet # using a list of values instead of category/value formulas: # [sheetname, first_row, first_col, last_row, last_col] chart.add_series({ 'categories':...
map_chart.add('', [list(z) for z in zip(area_group.index.values.tolist(), area_group['数量'].values.tolist())], maptype='china', is_map_symbol_show=False, label_opts=opts.LabelOpts(is_show=True,color='red'), itemstyle_opts={ 'normal': { 'shadowColor': 'rgba(0, 0, 0,...
def get_chart2(): chart = ( Bar() .add_xaxis(x_data) .add_yaxis("", y_data) .set_global_opts( title_opts=opts.TitleOpts( title="2-各行政区二手房数量", pos_top='2%', pos_left="center", ), visualmap_opts=opts.VisualMapOpts(is_show=False), ...
chart = echarts.Echart('example') chart.add_xaxis(df['column1'].tolist()) chart.add_yaxis('Series A', df['column2'].tolist()) chart.add_yaxis('Series B', df['column3'].tolist()) chart.set_global_opts(title_opts=echarts.TitleOpts(title='My Chart')) return render_template(...
add(other[,axis,fill_value]) #加法,元素指向 DataFrame.sub(other[,axis,fill_value]) #减法,元素指向 DataFrame.mul(other[, axis,fill_value]) #乘法,元素指向 DataFrame.div(other[, axis,fill_value]) #小数除法,元素指向 DataFrame.truediv(other[, axis, level,…]) #真除法,元素指向 DataFrame....
formulas:# [sheetname, first_row, first_col,last_row, last_col]chart.add_series({'categories': [sheet_name, 1, 0, 3,0],'values': [sheet_name, 1, 1, 3, 1],})# configure the chart axeschart.set_x_axis({'name': 'Index', 'position_axis': 'on_tick'})chart.set_y...
# define the workbook workbook= writer.book worksheet = writer.sheets[sheet_name]#createa chart lineobject chart = workbook.add_chart({'type':'line'})# configurethe seriesofthe chartfromthe spreadsheet # using a listofvaluesinsteadofcategory/value formulas: # [sheetname, first_row, first_col...
s=df[~pd.isnull(df['{col}'])][['{col}']]chart,labels=np.histogram(s,bins=20)importscipy.statsassts kde=sts.gaussian_kde(s['unit price'])kde_data=kde.pdf(np.linspace(labels.min(),labels.max()))# main statistics stats=df['unit price'].describe().to_frame().T ...