python - Converting a Text File into a Pyplot -

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i have long text file want plot in python. i've imported text file using this:

import matplotlib.pyplot plt  plt.figure() open('6-18-2015 14.2.9.txt') f:     line in f:         line = [float(line)]         plt.plot(line)

every time run code, get: valueerror: invalid literal float(): how solve problem? appreciated.

you should have @ pandas. makes such tasks trivial. example: assuming have .csv file named data.csv looks this

x, y 1, 1 2, 4 3, 9 ...

then can plot follows

import pandas pd import matplotlib.pyplot plt  df = pd.read_csv("data.csv")  plt.plot(df.x, df.y) plt.show()

edit:

you can transpose 4x10000 data , change 10000x4. here's example showing how plot 10000x4 data using matplotlib.

4ddata.csv

x,y,z,u 10.39, 73.32, 2.02, 28.26 11.13, 68.71, 1.86, 27.83 12.71, 74.27, 1.89, 28.26 11.46, 91.06, 1.63, 28.26 11.72, 85.38, 1.51, 28.26 13.39, 78.68, 1.89, 28.26 13.02, 68.02, 2.01, 28.26 12.08, 64.37, 2.18, 28.26 11.58, 60.71, 2.28, 28.26 8.94, 65.67, 1.92, 27.04 11.61, 59.57, 2.32, 27.52 19.06, 74.49, 1.69, 63.35 17.52, 73.62, 1.73, 63.51 19.52, 71.52, 1.79, 63.51 18.76, 67.55, 1.86, 63.51 19.84, 53.34, 2.3, 63.51 20.19, 59.82, 1.97, 63.51 17.43, 57.89, 2.05, 63.38 17.9, 59.95, 1.89, 63.51 18.97, 57.84, 2, 63.51 19.22, 57.74, 2.05, 63.51 17.55, 55.66, 1.99, 63.51 19.22, 101.31, 6.76, 94.29 19.41, 99.47, 6.07, 94.15 18.99, 94.01, 7.32, 94.08 19.88, 103.57, 6.98, 94.58 19.08, 95.38, 5.66, 94.14 20.36, 100.43, 6.13, 94.47 20.13, 98.78, 7.37, 94.47 20.36, 89.36, 8.79, 94.71 20.96, 84.48, 8.33, 94.01 21.02, 83.97, 6.78, 94.72 19.6, 95.64, 6.56, 94.57

plot.py

import pandas pd import matplotlib.pyplot plt mpl_toolkits.mplot3d import axes3d  df = pd.read_csv("4ddata.csv")  fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.scatter(df.x, df.y, df.z, s=df.u) plt.show()

this example represents 4th dimension (point size)2

enter image description here

as have long file, may want use

ax.scatter(df.x, df.y, df.z, c=df.u)

instead of

ax.scatter(df.x, df.y, df.z, s=df.u)

this represent 4th dimension color preventing unnecessary visual clutter.

enter image description here

the problem in case when use for line in f: reading entire line. like

line = "1.23, 4.26, 5.78, 3.44\n"

python unable figure out how convert variable float , hence error. invalid literal here ,. also, using loop iterate through data plot highly inefficient, must use provided functions ever possible highly optimized task perform.


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