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 ...
c2.width=28 c2.add_data(data,titles_from_data=True) dates=Reference(ws,min_col=1,min_row=2,max_row=len(rows)-1)# max_row=7 c2.set_categories(dates) ws.add_chart(c2,"F1") wb.save("line_permon.xlsx") if__name__=='__main__': cpu_dict={"rows":cpu_info(),"sheet_name":...
workbook= writer.bookworksheet = writer.sheets[sheet_name]# create a chart lineobjectchart = workbook.add_chart({'type': 'line'})# configurethe series of the chart from the spreadsheet# using a list of values instead of category/value formulas:# [sheetname, first_row, first_col,last_...
worksheet = writer.sheets[sheet_name] chart = workbook.add_chart({'type': 'column'}) # set colors for the chart each type . colors = ['#E41A1C', '#377EB8'] # , '#4DAF4A', '#984EA3', '#FF7F00'] # Configure the series of the chart from the dataframe data. for col_num...
(kind="line", period_label=False, title="Cumulative Total Cases", add_legend=False) ) def current_total(values): total = values.sum() s = f'Total : {int(total)}' return {'x': .85, 'y': .2, 's': s, 'ha': 'right', 'size': 11} race_chart = grouped_df.cumsum()....
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,...
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 axes chart.set_x_axis({'name': 'Index', 'position_axis': 'on_tick'}) chart...
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....
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 two DataFrame objects and do not propagate NaN values, so if for a DataFrame.combine_first(other) Combine two DataFrame objects and default to non-null values in frame calling the method. 函数应用&分组&窗口 方法 描述 DataFrame.apply(func[, axis, broadcast, …]) ...