Python Can'；无法使索引在数据帧中工作

我试图让索引柱工作，但是，即使在我转置和尝试数据的时候。set_index（“energy”）它说索引数据必须是1-d。我试过很多东西，不知道下一步该试什么

数据=pd.read\U csv（路径，nrows=14）

扩展数据，102.0,103.0,104.0,105.0,106.0,107.0,108.0,109.0,110.0,111.0,112.0,113.0,114.0,115.0,116.0,117.0,118.0,119.0,120.0,121.0,122.0,123.0,124.0,125.0,126.0,127.0,128.0,129.0,130.0,131.0,132.0,133.0,134.0,135.0,136.0,137.0,138.0,139.0,140.0,141.0,142.0,143.0,144.0,145.0,146.0,147.0,148.0,149.0,150.0,151.0,152.0,153.0,154.0,155.0,156.0,157.0,158.0,159.0,160.0,161.0,162.0,163.0,164.0,165.0,166.0,167.0,168.0,169.0,170.0,171.0,172.0,173.0,174.0,175.0,176.0,177.0,178.0,179.0,180.0,181.0,182.0,183.0,184.0,185.0,186.0,187.0,188.0,189.0,190.0,191.0,192.0,193.0,194.0,195.0,196.0,197.0,198.0,199.0,200.0,201.0,202.0,203.0,204.0,205.0,206.0,207.0,208.0,209.0,210.0,211.0,212.0,213.0,214.0,215.0,216.0,217.0,218.0,219.0,220.0,221.0,222.0,223.0,224.0,225.0,226.0,227.0,228.0,229.0,230.0,231.0,232.0,233.0,234.0,235.0,236.0,237.0,238.0,239.0,240.0,241.0,242.0,243.0,244.0,245.0,246.0,247.0,248.0,249.0,250.0,251.0,252.0,253.0,254.0,255.0,256.0,257.0,258.0,259.0,260.0,261.0,262.0,263.0,264.0,265.0,266.0,267.0,268.0,269.0,270.0,271.0,272.0,273.0,274.0,275.0,276.0,277.0,278.0,279.0,280.0,281.0,282.0,283.0,284.0,285.0,286.0,287.0,288.0,289.0,290.0,291.0,292.0,293.0,294.0,295.0,296.0,297.0,298.0,299.0,300.0,301.0,302.0,303.0,304.0,305.0,306.0,307.0,308.0,309.0,310.0,311.0,312.0,313.0,314.0,315.0,316.0,317.0,318.0,319.0,320.0,321.0,322.0,323.0,324.0,325.0,326.0,327.0,328.0,329.0,330.0,331.0,332.0,333.0,334.0,335.0,336.0,337.0,338.0,339.0,340.0,341.0,342.0,343.0,344.0,345.0,346.0,347.0,348.0,349.0,350.0,351.0,352.0,353.0,354.0,355.0,356.0,357.0,358.0,359.0,360.0,361.0,362.0,363.0,364.0,365.0,366.0,367.0,368.0,369.0,370.0,371.0,372.0,373.0,374.0,375.0,376.0,377.0,378.0,379.0,380.0,381.0,382.0,383.0,384.0,385.0,386.0,387.0,388.0,389.0,390.0,391.0,392.0,393.0,394.0,395.0,396.0,397.0,398.0,399.0,400.0,401.0,402.0,403.0,404.0,405.0,406.0,407.0,408.0,409.0,410.0,411.0,412.0,413.0,414.0,415.0,416.0,417.0,418.0,419.0,420.0,421.0,422.0,423.0,424.0,425.0,426.0,427.0,428.0,429.0,430.0,431.0,432.0,433.0,434.0,435.0,436.0,437.0,438.0,439.0,440.0,441.0,442.0,443.0,444.0,445.0,446.0,447.0,448.0,449.0,450.0,451.0,452.0,453.0,454.0,455.0,456.0,457.0,458.0,459.0,460.0,461.0,462.0,463.0,464.0,465.0,466.0,467.0,468.0,469.0,470.0,471.0,472.0,473.0,474.0,475.0,476.0,477.0,478.0,479.0,480.0,481.0,482.0,483.0,484.0,485.0,486.0,487.0,488.0,489.0,490.0,491.0,492.0,493.0,494.0,495.0,496.0,497.0,498.0,499.0,500.0,501.0,502.0,503.0,504.0,505.0,506.0,507.0,508.0,509.0,510.0,511.0,512.0,513.0,514.0,515.0,516.0,517.0,518.0,519.0,520.0,521.0,522.0,523.0,524.0,525.0,526.0,527.0,528.0,529.0,530.0,531.0,532.0,533.0,534.0,535.0,536.0,537.0,538.0,539.0,540.0,541.0,542.0,543.0,544.0,545.0,546.0,547.0,548.0,549.0,550.0,551.0,552.0,553.0,554.0,555.0,556.0,557.0,558.0,559.0,560.0,561.0,562.0,563.0,564.0,565.0,566.0,567.0,568.0,569.0,570.0,571.0,572.0,573.0,574.0,575.0,576.0,577.0,578.0,579.0,580.0,581.0,582.0,583.0,584.0,585.0,586.0,587.0,588.0,589.0,590.0,591.0,592.0,593.0,594.0,595.0,596.0,597.0,598.0,599.0,600.0,601.0,602.0,603.0,604.0,605.0,606.0,607.0,608.0,609.0,610.0,611.0,612.0,613.0,614.0,615.0,616.0,617.0,618.0,619.0,620.0,621.0,622.0,623.0,624.0,625.0,626.0,627.0,628.0,629.0,630.0,631.0,632.0,633.0,634.0,635.0,636.0,637.0,638.0,639.0,640.0,641.0,642.0,643.0,644.0,645.0,646.0,647.0,648.0,649.0,650.0,651.0,652.0,653.0,654.0,655.0,656.0,657.0,658.0,659.0,660.0,661.0,662.0,663.0,664.0,665.0,666.0,667.0,668.0,669.0,670.0,671.0,672.0,673.0,674.0,675.0,676.0,677.0,678.0,679.0,680.0,681.0,682.0,683.0,684.0,685.0,686.0,687.0,688.0,689.0,690.0,691.0,692.0,693.0,694.0,695.0,696.0,697.0,698.0,699.0,700.0,701.0,702.0,703.0,704.0,705.0,706.0,707.0,708.0,709.0,710.0,711.0,712.0,713.0,714.0,715.0,716.0,717.0,718.0,719.0,720.0,721.0,722.0,723.0,724.0,725.0,726.0,727.0,728.0,729.0,730.0,731.0,732.0,733.0,734.0,735.0,736.0,737.0,738.0,739.0,740.0,741.0,742.0,743.0,744.0,745.0,746.0,747.0,748.0,749.0,750.0, 能量1.0293562133056675,1.0393575097309173,1.0493588061561672,1.0593601025814168,1.0693613990066666,1.0793626954319162,1.089363991857166,1.0993652882824159,1.1093665847076655,1.1193678811329153,1.129369177558165,1.1393704739834147,1.1493717704086646,1.1593730668339142,1.169374363259164,1.1793756596844136,1.1893769561096634,1.1993782525349133,1.2093795489601629,1.2193808453854127,1.2293821418106623,1.2393834382359121,1.249384734661162,1.2593860310864116,1.2693873275116614,1.279388623936911,1.2893899203621608,1.2993912167874107,1.3093925132126603,1.31939380963791,1.3293951060631597,1.3393964024884095,1.3493976989136593,1.359398995338909,1.3694002917641588,1.3794015881894084,1.3894028846146582,1.399404181039908,1.4094054774651577,1.4194067738904075,1.429408070315657,1.439409366740907,1.4494106631661567,1.4594119595914063,1.4694132560166562,1.4794145524419058,1.4894158488671556,1.4994171452924054,1.509418441717655,1.5194197381429049,1.5294210345681545,1.5394223309934043,1.5494236274186541,1.5594249238439037,1.5694262202691536,1.5794275166944032,1.589428813119653,1.5994301095449028,1.6094314059701524,1.6194327023954023,1.6294339988206519,1.6394352952459017,1.6494365916711515,1.6594378880964011,1.669439184521651,1.6794404809469006,1.6894417773721504,1.6994430737974002,1.7094443702226498,1.7194456666478997,1.7294469630731493,1.739448259498399,1.749449555923649,1.7594508523488985,1.7694521487741484,1.779453445199398,1.7894547416246478,1.7994560380498976,1.8094573344751472,1.819458630900397,1.8294599273256467,1.8394612237508965,1.8494625201761463,1.859463816601396,1.8694651130266458,1.8794664094518954,1.8894677058771452,1.899469002302395,1.9094702987276446,1.9194715951528944,1.9294728915781443,1.9394741880033939,1.9494754844286437,1.9594767808538933,1.9694780772791431