malifaux deck box plate

thingiverse

A complex and large 3D trajectory data set. To analyze this data set effectively, we will need to first convert it into a Pandas DataFrame: ```python import pandas as pd data = [[[-9.32,97.41,-42.43],[0.45,78.25,-35.18]],[[1.31,71.22,-34.15],[5.92,64.67,-32.65]]] data.extend([[280.58,135.75,281.85],[278.58,135.43,278.81],[273.23,135.19,273.37],[266.89,134.81,267.14],[262.5,134.15,263.21],[262,133.31,262.22],[269.23,132.53,269.26],[277.42,132.19,277.55],[283.46,132.44,282.69],[288.55,132.32,288.39],[295.98,128.95,296.01],[301.65,125.78,300.97],[304,124.02,303.12],[302.31,124.06,302.15],[298.25,125.21,299.17],[291.37,126.74,291.38],[282.5,127.55,281.58],[272.5,127.95,271.92],[276.5,126.55,275.63],[280.22,125.54,278.27],[283.56,125.08,283.23],[286.47,124.32,285.29],[289.09,122.25,287.85],[291.41,119.61,292.14],[293.53,117.13,294.15],[295.5,114.76,296.39],[288.5,118.29,286.75],[281.96,121.25,282.09],[276.07,123.41,274.78],[270.17,124.53,268.93],[263.62,125,264.19],[256.15,124.64,258.02],[248.05,123.78,253.23],[241.62,122.55,247.18],[238.18,121.28,246.38],[236.96,120.38,239.33],[235.89,120,235.15],[235.48,119.46,234.35],[235.99,118.02,230.81],[236.55,116.55,238.11],[235.6,116.6,231.21],[234.32,115.85,237.51],[233.46,111.56,227.91],[232.71,107.45,233.39],[231.88,105.43,224.57],[231.26,105.8,226.35],[231,107.47,216.21],[230.56,110.36,210.29],[229.5,113.67,209.15],[228.31,116.91,222.79],[227.56,119.66,220.43],[226.36,122.47,216.39],[224.11,125.86,217.51],[221.52,128.55,208.83],[219.52,129.67,211.01],[218.53,129.35,213.19],[218.35,128.58,202.13],[218.94,127.88,197.59],[219.8,127.73,206.85],[220.7,127.08,209.43],[221.37,125.23,208.17],[221.93,121.79,210.83],[222.53,117.36,204.71],[223.16,112.23,199.55],[220.33,109.56,194.31],[216.24,106.66,193.95],[210.4,103.45,189.61],[204.67,101.02,192.19],[200.9,100.01,191.05]],[[232.72,112.39,232.78],[231.8,113.3,230.89],[230.11,116.01,227.93],[228.67,118.83,224.29],[228.34,120,222.37],[229.29,118.93,221.33],[230.94,116.37,217.95],[232.35,113.71,215.17],[232.72,112.39,216.51]],[[281.11,-16.49,272.89],[271.59,-18.19,269.61],[270.97,-14.55,276.25],[260.33,-20.85,266.09],[274.71,-22.01,255.27],[282.37,-24.21,245.69],[267.31,-26.19,251.43],[262.91,-12.99,261.05],[253.49,-18.47,272.45],[260.59,-20.17,255.11],[257.89,-16.03,269.15],[271.13,-10.39,267.29]],[[2.42,88.33,-44.25],[4.23,76.31,-38.65]]]]) import json from io import StringIO json_str = '[' + ','.join(map(json.dumps,data)) + ']' df_data = pd.read_json(StringIO(json_str)) # reset the index after load df_data.reset_index(drop=True,inplace=True) print(df_data.head())