python - How to stack data frames on top of each other in Pandas -
i have dataframe 96 columns:
df.to_csv('result.csv') out (excel):
run 1 run 2 run 3 run 4 run 5 run 6 run 7 run 8 run 9 run 10 run 11 run 12 run 13 run 14 run 15 run 16 run 17 run 18 run 19 run 20 run 21 run 22 run 23 run 24 run 25 run 26 run 27 run 28 run 29 run 30 run 31 run 32 run 33 run 34 run 35 run 36 run 37 run 38 run 39 run 40 run 41 run 42 run 43 run 44 run 45 run 46 run 47 run 48 run 49 run 50 run 51 run 52 run 53 run 54 run 55 run 56 run 57 run 58 run 59 run 60 run 61 run 62 run 63 run 64 run 65 run 66 run 67 run 68 run 69 run 70 run 71 run 72 run 73 run 74 run 75 run 76 run 77 run 78 run 79 run 80 run 81 run 82 run 83 run 84 run 85 run 86 run 87 run 88 run 89 run 90 run 91 run 92 run 93 run 94 run 95 run 96 12 5194322.07 5195697.94 5195730.25 5196009.11 5195054.02 5193386.44 5192664.99 5193381.71 5193652.29 5193637.02 5191110.57 5190267.47 5190739.45 5190416.85 5189592.97 5188898.89 5188461.01 5188735.44 5189156.83 5188870.35 5188306.12 5187746.51 5188023.45 5187536.91 5188085.85 5188634.95 5187861.42 5188124.97 5187076.75 5189218.62 5189052.51 5188571.63 5188486.76 5188502.68 5188318.63 5188512.5 5188409.83 5188250.86 5188885.18 5188999.83 5189365.09 5190159.72 5189771.1 5190136.3 5191179.72 5191256.35 5191147.97 5191712.32 5192430.88 5193407.95 5192603.89 5192248.7 5192197.65 5193096.79 5193005.25 5193985.8 5193451.22 5193489.16 5193562.72 5194621.43 5194170.84 5194198.19 5194866.16 5194030.81 5194421.67 5193745.31 5195458.37 5196342.62 5194881.29 5195036.46 5193627.87 5194470.9 5195017.44 5194402.87 5194659.24 5194751.51 5195016.87 5194802.11 5195467.68 5194654.04 5195622.23 5194709.45 5195050.77 5195097.58 5195987.22 5195831.3 5194776.48 5193605.12 5194317.87 5194089.21 5194563.64 5193895.14 5194140.95 5193791.85 5193915.21 5194343.34 13 1453304.43 1454792.33 1454807.96 1454768.09 1455077.49 1454644.59 1454545.94 1454930.93 1455214.85 1455342.12 1455188.92 1454972.08 1455358.05 1455533.45 1455208.56 1454913.89 1455124.45 1454644.83 1455071.25 1454812.46 1454838.9 1454842.33 1454895.52 1454838.55 1454888.25 1455024.08 1454624.57 1455159.29 1454889.65 1454906.92 1454789.36 1454579.06 1455060.12 1455108.26 1455289.8 1455269.54 1455227.93 1455734.55 1455846 1455774.16 1456130.24 1456289.94 1455711.1 1456447.68 1456588.78 1456796.61 1456867.04 1457081.75 1457274.68 1457155.16 1457782.73 1457065.11 1457459.15 1457347.08 1457837.54 1457999.87 1458171.82 1458241.76 1458320.08 1458622.22 1458574.79 1458586.67 1458701.91 1458749.17 1458869.01 1458755.66 1458885 1459167.12 1458881.12 1459110.4 1458918 1459297.49 1459375.28 1459338.09 1459413.22 1459726.96 1459926.75 1459943.81 1460193.37 1460242.02 1460274.7 1460319.25 1460494.5 1460347.8 1460589.02 1460436.82 1460754.06 1460643.79 1460803.29 1460817.97 1460948.1 1460903.97 1460944.45 1460874.04 1460929.33 1461072.84 14 193379.75 193027.34 192806.25 192501.2 192602.7 192477.86 192402.72 192408.76 192421.74 192400.59 192345.37 192312.98 192331.79 192357.29 192277.84 192270.06 192232.67 192170.09 192216.06 192182.3 192163.13 192145.32 192164.63 192157.59 192134.08 192172.82 192098.36 192146.81 192106.65 192082.12 192057.73 192065.45 192080.46 192128.27 192096.82 192120.97 192081.97 192166.45 192157.38 192121.78 192203.97 192215.73 192098.89 192181.45 192211.12 192234.93 192245.5 192282.35 192290.05 192278.03 192370.19 192250.39 192308.68 192264.65 192339.55 192365.62 192394.12 192385.72 192403.42 192431.52 192408.2 192414.77 192419.74 192424.98 192432.85 192422.79 192444.94 192454.58 192456.89 192449 192451.98 192507.83 192490.77 192504.55 192520.85 192539.33 192549.03 192578.96 192618.21 192638.83 192629.15 192617.57 192651.62 192626.81 192649.6 192636.68 192703.22 192661.42 192687.33 192704.48 192729.77 192731.6 192742.22 192701.82 192729.55 192743.99 15 157553.12 157252.95 157080.77 156941.24 156887.86 156776.95 156669.69 156664.82 156695.03 156652.3 156653.55 156576.01 156586.19 156620.33 156558.26 156539 156501.76 156445.28 156465.98 156435.93 156436.62 156444.92 156422.48 156446.25 156426.4 156447.14 156397.15 156421.85 156391.94 156370.94 156337.46 156364.73 156380.6 156399.43 156389.75 156386.21 156346.02 156453.62 156442.94 156392.71 156436.89 156449.56 156363.24 156443.5 156448.72 156429.21 156479.57 156498 156535.45 156528.7 156603.81 156486.44 156524.97 156482.7 156558.25 156574.41 156585.45 156572.05 156610.77 156638.11 156607.3 156600.19 156626.51 156605.06 156637.24 156611.04 156625.38 156635.17 156644.67 156634.81 156635.81 156690.93 156666.67 156700.49 156702.44 156705.8 156723.19 156746.24 156784.77 156783.37 156816.63 156767.56 156820.49 156805.69 156799.75 156813.77 156847.63 156837.49 156841.06 156833.21 156873.62 156877.83 156877.8 156836.4 156876.97 156889.26 16 98894.09 98661.73 98517.97 98463.94 98381.17 98335.16 98248.41 98271.91 98279.43 98235.13 98240.75 98182.86 98200.03 98201.4 98172.12 98146.85 98131.82 98103.18 98111.26 98070.4 98089.39 98103.34 98063.18 98087.61 98055.12 98101.77 98064.3 98073.7 98044.23 98032.22 98024.03 98035.75 98047.34 98065.01 98070.35 98056.62 98025.54 98091.08 98101.41 98052.04 98079.79 98094.76 98012.52 98088.28 98083.11 98091.65 98097.78 98111.77 98133.52 98135.26 98181.02 98130.98 98142.39 98103.2 98151.5 98163.1 98181.58 98161.11 98181.91 98207.14 98176.71 98194 98203.63 98178.89 98213.34 98179.43 98188.91 98209 98224.92 98202.98 98199.12 98239.48 98228.15 98251.45 98263.44 98253.43 98253.53 98293.22 98310.56 98299.46 98324.44 98304.57 98320.92 98331.45 98315.52 98316.35 98350.96 98356.69 98336.74 98322.17 98356.82 98367.58 98355.18 98342.84 98346.7 98374.95 17 12 3129.52 3147.16 3160.49 3171.33 3214.77 3236.69 3275 3280.86 3287.46 3302.41 3331.16 3375.36 3371.95 3378.69 3377.02 3373.65 3397.39 3388.79 3416.8 3457.74 3447.79 3456.51 3455.32 3495.66 3492.27 3505.96 3510.87 3533.18 3522.81 3524.65 3572.99 3575.17 3581.11 3579.16 3584.39 3601.6 3591.13 3619.1 3581.45 3597.28 3610.98 3627.1 3641.58 3639.8 3628.65 3655.72 3649.4 3648.33 3676.89 3661.96 3697.21 3689.05 3693.71 3710.29 3734.39 3732.68 3732.57 3760.45 3753.94 3778.77 3792.45 3764.17 3804.36 3804.46 3807.49 3817.46 3854.72 3820.18 3844.23 3844.19 3856.38 3856.53 3856.95 3905.39 3868.66 3898.41 3908.94 3905.1 3942.19 3941.65 3957.9 3936.05 3953.8 3952.5 3986.09 3972.33 3974.86 3962.69 4006.6 4007.01 4013.11 4036.94 3981.75 3982.69 3982.16 4017.66 13 2946817.59 2944662.04 2941123.24 2940256.46 2935558.38 2931746.01 2928978.21 2928741.48 2926931.72 2926556.07 2924090.79 2923586 2923616.24 2921712.71 2921325.33 2921606.4 2921049.04 2920501.43 2920219.82 2919483.39 2919055.94 2918261.89 2917710.17 2918281.08 2917460.36 2918447.78 2917467.81 2917025.06 2914725.09 2917582.26 2916970.03 2917224.28 2917123.34 2916758.73 2916377.49 2916374.34 2915134.44 2916170.14 2916194.3 2916438.93 2916841.46 2916923.27 2916298.61 2916843.73 2917128.84 2916505.26 2917823.72 2917249.33 2918275.17 2918657.92 2918593.87 2918092.17 2916450.26 2917383.96 2917260.84 2918251.2 2916669.62 2917421.6 2916740.6 2917259.97 2916818.62 2917508.43 2918006.44 2917757.21 2918060.88 2915855.65 2918151.83 2917179.65 2918271.42 2917682.08 2916528.9 2916751.82 2916524.81 2916802.18 2915576.36 2916073.58 2916285.37 2915885.03 2916843.4 2916897 2916226.64 2916329.2 2915110.13 2914458.88 2916433.5 2915075.24 2915229.63 2913743.19 2914563.32 2913637.85 2914569.65 2914736.45 2913404.01 2913008.04 2913627.33 2914075.7 14 230608.01 230312.12 229832.18 229627.99 229210.49 228632.32 228363.82 228331.31 228218.46 228144.81 227964.12 227953.21 228026.95 227840.86 227741.13 227753.98 227740.91 227540.28 227557.01 227318.88 227512.95 227296.66 227285.16 227307.5 227240.68 227426.04 227221.35 227178.03 226972.82 227183.08 227053.52 227103.26 227226.78 227095.99 227295.09 227357.08 226998.07 227155.45 227099.14 227256.82 227092.64 227274.71 227046.17 227211.35 227271.17 227113.9 227296.57 227410.79 227169.76 227314.2 227496.21 227252.71 227267.55 227308.58 227361.06 227333.64 227178.12 227358.18 227154.37 227278.39 227226.46 227220.65 227276.21 227336.72 227239.63 227201.77 227298.1 227286.38 227398.71 227336.91 227365.81 227255.2 227241.09 227129.99 227074.28 227152.61 227331.13 227349.15 227404.26 227317.63 227228.69 227163.85 226953.01 226922.52 227207.38 227141.31 227117.31 227162.19 227210.19 227078.05 227066.16 227226.41 226951.75 226963.37 226956.1 227106.71 15 25607.66 25705.26 25483.12 25478.82 25410.26 25384.14 25296.8 25297.31 25185.21 25310.15 25275.49 25246.13 25249.32 25322.94 25258.49 25231.09 25294.81 25282.72 25211.84 25373.49 25201.84 25277.95 25356.21 25331.92 25191.69 25268.33 25359.69 25177.89 25275.49 25293.96 25212.5 25256.51 25209.77 25207.68 25245.21 25130.97 25246.49 25073.61 25141.74 25191.55 25275.35 25218.04 25234.66 25144.64 25294.39 25197.99 25252.66 25029.12 25239.01 25241.82 25299.99 25249.92 25112.44 25140.67 25247.73 25235.76 25316.81 25188.8 25122.93 25186.04 25149.75 25127.59 25175.98 25093.1 25224.16 25166.84 25170.27 25203.5 25258.65 25192.54 25154.19 25180.35 25197.78 25340.6 25224.43 25173.91 25205.17 25253.24 25325.32 25459.4 25186.6 25238.33 25237.85 25130.99 25303.22 25188.74 25226.41 25190.27 25082.58 25059.87 25295.12 25197.11 25222.02 25208.2 25173.89 25197.88 sorry (copied excel), labels , data not in line.
basically, want seperate dataframe 8 units... first unit, unit 1, want 12 columns.... runs 1 12. , on. unit 8 run 85 - 96.
i renamed 8 dataframes , specified columns wanted take main dataframe (df)
here code this:
df1 = df.ix[:,0:7] df2 = df.ix[:,12:24] df3 = df.ix[:,24:36] df4 = df.ix[:,36:48] df5 = df.ix[:,48:60] df6 = df.ix[:,60:72] df7 = df.ix[:,72:84] df8 = df.ix[:,84:96] pieces = (df1,df2,df3,df4,df5,df6,df7,df8) finally, used concat concatenate 8 dataframes (stacked on top of each other). however, output distorted , not in order.
df_final = pd.concat(pieces, ignore_index = true) print df_final out:
run 1 run 13 run 14 run 15 run 16 run 17 run 18 run 19 run 2 run 20 run 21 run 22 run 23 run 24 run 25 run 26 run 27 run 28 run 29 run 3 run 30 run 31 run 32 run 33 run 34 run 35 run 36 run 37 run 38 run 39 run 4 run 40 run 41 run 42 run 43 run 44 run 45 run 46 run 47 run 48 run 49 run 5 run 50 run 51 run 52 run 53 run 54 run 55 run 56 run 57 run 58 run 59 run 6 run 60 run 61 run 62 run 63 run 64 run 65 run 66 run 67 run 68 run 69 run 7 run 70 run 71 run 72 run 73 run 74 run 75 run 76 run 77 run 78 run 79 run 80 run 81 run 82 run 83 run 84 run 85 run 86 run 87 run 88 run 89 run 90 run 91 run 92 run 93 run 94 run 95 run 96 0 5194322.07 5195697.94 5195730.25 5196009.11 5195054.02 5193386.44 5192664.99 1 1453304.43 1454792.33 1454807.96 1454768.09 1455077.49 1454644.59 1454545.94 2 193379.75 193027.34 192806.25 192501.2 192602.7 192477.86 192402.72 3 157553.12 157252.95 157080.77 156941.24 156887.86 156776.95 156669.69 4 98894.09 98661.73 98517.97 98463.94 98381.17 98335.16 98248.41 5 6 3129.52 3147.16 3160.49 3171.33 3214.77 3236.69 3275 7 2946817.59 2944662.04 2941123.24 2940256.46 2935558.38 2931746.01 2928978.21 8 230608.01 230312.12 229832.18 229627.99 229210.49 228632.32 228363.82 9 25607.66 25705.26 25483.12 25478.82 25410.26 25384.14 25296.8 10 5190739.45 5190416.85 5189592.97 5188898.89 5188461.01 5188735.44 5189156.83 5188870.35 5188306.12 5187746.51 5188023.45 5187536.91 11 1455358.05 1455533.45 1455208.56 1454913.89 1455124.45 1454644.83 1455071.25 1454812.46 1454838.9 1454842.33 1454895.52 1454838.55 12 192331.79 192357.29 192277.84 192270.06 192232.67 192170.09 192216.06 192182.3 192163.13 192145.32 192164.63 192157.59 13 156586.19 156620.33 156558.26 156539 156501.76 156445.28 156465.98 156435.93 156436.62 156444.92 156422.48 156446.25 14 98200.03 98201.4 98172.12 98146.85 98131.82 98103.18 98111.26 98070.4 98089.39 98103.34 98063.18 98087.61 15 16 3371.95 3378.69 3377.02 3373.65 3397.39 3388.79 3416.8 3457.74 3447.79 3456.51 3455.32 3495.66 17 2923616.24 2921712.71 2921325.33 2921606.4 2921049.04 2920501.43 2920219.82 2919483.39 2919055.94 2918261.89 2917710.17 2918281.08 18 228026.95 227840.86 227741.13 227753.98 227740.91 227540.28 227557.01 227318.88 227512.95 227296.66 227285.16 227307.5 19 25249.32 25322.94 25258.49 25231.09 25294.81 25282.72 25211.84 25373.49 25201.84 25277.95 25356.21 25331.92 20 5188085.85 5188634.95 5187861.42 5188124.97 5187076.75 5189218.62 5189052.51 5188571.63 5188486.76 5188502.68 5188318.63 5188512.5 21 1454888.25 1455024.08 1454624.57 1455159.29 1454889.65 1454906.92 1454789.36 1454579.06 1455060.12 1455108.26 1455289.8 1455269.54 22 192134.08 192172.82 192098.36 192146.81 192106.65 192082.12 192057.73 192065.45 192080.46 192128.27 192096.82 192120.97 23 156426.4 156447.14 156397.15 156421.85 156391.94 156370.94 156337.46 156364.73 156380.6 156399.43 156389.75 156386.21 24 98055.12 98101.77 98064.3 98073.7 98044.23 98032.22 98024.03 98035.75 98047.34 98065.01 98070.35 98056.62 25 26 3492.27 3505.96 3510.87 3533.18 3522.81 3524.65 3572.99 3575.17 3581.11 3579.16 3584.39 3601.6 27 2917460.36 2918447.78 2917467.81 2917025.06 2914725.09 2917582.26 2916970.03 2917224.28 2917123.34 2916758.73 2916377.49 2916374.34 28 227240.68 227426.04 227221.35 227178.03 226972.82 227183.08 227053.52 227103.26 227226.78 227095.99 227295.09 227357.08 29 25191.69 25268.33 25359.69 25177.89 25275.49 25293.96 25212.5 25256.51 25209.77 25207.68 25245.21 25130.97 30 5188409.83 5188250.86 5188885.18 5188999.83 5189365.09 5190159.72 5189771.1 5190136.3 5191179.72 5191256.35 5191147.97 5191712.32 31 1455227.93 1455734.55 1455846 1455774.16 1456130.24 1456289.94 1455711.1 1456447.68 1456588.78 1456796.61 1456867.04 1457081.75 32 192081.97 192166.45 192157.38 192121.78 192203.97 192215.73 192098.89 192181.45 192211.12 192234.93 192245.5 192282.35 33 156346.02 156453.62 156442.94 156392.71 156436.89 156449.56 156363.24 156443.5 156448.72 156429.21 156479.57 156498 34 98025.54 98091.08 98101.41 98052.04 98079.79 98094.76 98012.52 98088.28 98083.11 98091.65 98097.78 98111.77 35 36 3591.13 3619.1 3581.45 3597.28 3610.98 3627.1 3641.58 3639.8 3628.65 3655.72 3649.4 3648.33 37 2915134.44 2916170.14 2916194.3 2916438.93 2916841.46 2916923.27 2916298.61 2916843.73 2917128.84 2916505.26 2917823.72 2917249.33 38 226998.07 227155.45 227099.14 227256.82 227092.64 227274.71 227046.17 227211.35 227271.17 227113.9 227296.57 227410.79 39 25246.49 25073.61 25141.74 25191.55 25275.35 25218.04 25234.66 25144.64 25294.39 25197.99 25252.66 25029.12 40 5192430.88 5193407.95 5192603.89 5192248.7 5192197.65 5193096.79 5193005.25 5193985.8 5193451.22 5193489.16 5193562.72 5194621.43 41 1457274.68 1457155.16 1457782.73 1457065.11 1457459.15 1457347.08 1457837.54 1457999.87 1458171.82 1458241.76 1458320.08 1458622.22 42 192290.05 192278.03 192370.19 192250.39 192308.68 192264.65 192339.55 192365.62 192394.12 192385.72 192403.42 192431.52 43 156535.45 156528.7 156603.81 156486.44 156524.97 156482.7 156558.25 156574.41 156585.45 156572.05 156610.77 156638.11 44 98133.52 98135.26 98181.02 98130.98 98142.39 98103.2 98151.5 98163.1 98181.58 98161.11 98181.91 98207.14 45 46 3676.89 3661.96 3697.21 3689.05 3693.71 3710.29 3734.39 3732.68 3732.57 3760.45 3753.94 3778.77 47 2918275.17 2918657.92 2918593.87 2918092.17 2916450.26 2917383.96 2917260.84 2918251.2 2916669.62 2917421.6 2916740.6 2917259.97 48 227169.76 227314.2 227496.21 227252.71 227267.55 227308.58 227361.06 227333.64 227178.12 227358.18 227154.37 227278.39 49 25239.01 25241.82 25299.99 25249.92 25112.44 25140.67 25247.73 25235.76 25316.81 25188.8 25122.93 25186.04 50 5194170.84 5194198.19 5194866.16 5194030.81 5194421.67 5193745.31 5195458.37 5196342.62 5194881.29 5195036.46 5193627.87 5194470.9 51 1458574.79 1458586.67 1458701.91 1458749.17 1458869.01 1458755.66 1458885 1459167.12 1458881.12 1459110.4 1458918 1459297.49 52 192408.2 192414.77 192419.74 192424.98 192432.85 192422.79 192444.94 192454.58 192456.89 192449 192451.98 192507.83 53 156607.3 156600.19 156626.51 156605.06 156637.24 156611.04 156625.38 156635.17 156644.67 156634.81 156635.81 156690.93 54 98176.71 98194 98203.63 98178.89 98213.34 98179.43 98188.91 98209 98224.92 98202.98 98199.12 98239.48 55 56 3792.45 3764.17 3804.36 3804.46 3807.49 3817.46 3854.72 3820.18 3844.23 3844.19 3856.38 3856.53 57 2916818.62 2917508.43 2918006.44 2917757.21 2918060.88 2915855.65 2918151.83 2917179.65 2918271.42 2917682.08 2916528.9 2916751.82 58 227226.46 227220.65 227276.21 227336.72 227239.63 227201.77 227298.1 227286.38 227398.71 227336.91 227365.81 227255.2 59 25149.75 25127.59 25175.98 25093.1 25224.16 25166.84 25170.27 25203.5 25258.65 25192.54 25154.19 25180.35 60 5195017.44 5194402.87 5194659.24 5194751.51 5195016.87 5194802.11 5195467.68 5194654.04 5195622.23 5194709.45 5195050.77 5195097.58 61 1459375.28 1459338.09 1459413.22 1459726.96 1459926.75 1459943.81 1460193.37 1460242.02 1460274.7 1460319.25 1460494.5 1460347.8 62 192490.77 192504.55 192520.85 192539.33 192549.03 192578.96 192618.21 192638.83 192629.15 192617.57 192651.62 192626.81 63 156666.67 156700.49 156702.44 156705.8 156723.19 156746.24 156784.77 156783.37 156816.63 156767.56 156820.49 156805.69 64 98228.15 98251.45 98263.44 98253.43 98253.53 98293.22 98310.56 98299.46 98324.44 98304.57 98320.92 98331.45 65 66 3856.95 3905.39 3868.66 3898.41 3908.94 3905.1 3942.19 3941.65 3957.9 3936.05 3953.8 3952.5 67 2916524.81 2916802.18 2915576.36 2916073.58 2916285.37 2915885.03 2916843.4 2916897 2916226.64 2916329.2 2915110.13 2914458.88 68 227241.09 227129.99 227074.28 227152.61 227331.13 227349.15 227404.26 227317.63 227228.69 227163.85 226953.01 226922.52 69 25197.78 25340.6 25224.43 25173.91 25205.17 25253.24 25325.32 25459.4 25186.6 25238.33 25237.85 25130.99 70 5195987.22 5195831.3 5194776.48 5193605.12 5194317.87 5194089.21 5194563.64 5193895.14 5194140.95 5193791.85 5193915.21 5194343.34 71 1460589.02 1460436.82 1460754.06 1460643.79 1460803.29 1460817.97 1460948.1 1460903.97 1460944.45 1460874.04 1460929.33 1461072.84 72 192649.6 192636.68 192703.22 192661.42 192687.33 192704.48 192729.77 192731.6 192742.22 192701.82 192729.55 192743.99 73 156799.75 156813.77 156847.63 156837.49 156841.06 156833.21 156873.62 156877.83 156877.8 156836.4 156876.97 156889.26 74 98315.52 98316.35 98350.96 98356.69 98336.74 98322.17 98356.82 98367.58 98355.18 98342.84 98346.7 98374.95 75 76 3986.09 3972.33 3974.86 3962.69 4006.6 4007.01 4013.11 4036.94 3981.75 3982.69 3982.16 4017.66 77 2916433.5 2915075.24 2915229.63 2913743.19 2914563.32 2913637.85 2914569.65 2914736.45 2913404.01 2913008.04 2913627.33 2914075.7 78 227207.38 227141.31 227117.31 227162.19 227210.19 227078.05 227066.16 227226.41 226951.75 226963.37 226956.1 227106.71 79 25303.22 25188.74 25226.41 25190.27 25082.58 25059.87 25295.12 25197.11 25222.02 25208.2 25173.89 25197.88 this problem. want dataframes in line , stacked on top of each other.
you're there.
the problem column names different within each sub dataframe. thus, when pandas concat, doesn't append dataframes bottom, expands dataframe have new colums right names , appends rows.
you can solve renaming columns in sub dataframes e.g.
for sub_df in pieces: sub_df.columns=range(12) n.b. df2 df8 contain want, think. reason, you've made df1 contain first 7 columns, rather 12. i'll assume that's typo now.
resulting in full working code (i copied input data file named 'data1.csv')
import pandas pd import numpy np df = pd.read_csv('data1.csv') df1 = df.ix[:,0:12] df2 = df.ix[:,12:24] df3 = df.ix[:,24:36] df4 = df.ix[:,36:48] df5 = df.ix[:,48:60] df6 = df.ix[:,60:72] df7 = df.ix[:,72:84] df8 = df.ix[:,84:96] pieces = (df1,df2,df3,df4,df5,df6,df7,df8) # give columns same labels in each sub dataframe # i've used numbers convenience - can give more descriptive names if want sub_df in pieces: sub_df.columns=range(12) df_final = pd.concat(pieces, ignore_index = true) print df_final final note on ordering
you note unexpected ordering of columns in example. won't affect solution, explain completeness.
the columns in output in called 'lexicographic ordering'. common problem when sorting strings containing numbers in python (and other languages). sorted in order looks almost right, somehow runs 1, 10, 11 ... 19, 2, 20 , on. because ordering sorts letter letter dictionary, 0 9 coming before a
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