How to create a Gantt plot
Question:
How is it possible with matplotlib to plot a graph with that data. The problem is to visualize the distance from column 2 to column 3. At the end it should look like a Gantt chart.
0 0 0.016 19.833
1 0 19.834 52.805
2 0 52.806 84.005
5 0 84.012 107.305
8 0 107.315 128.998
10 0 129.005 138.956
11 0 138.961 145.587
13 0 145.594 163.863
15 0 163.872 192.118
16 0 192.127 193.787
17 0 193.796 197.106
20 0 236.099 246.223
25 1 31.096 56.180
27 1 58.097 64.857
28 1 64.858 66.494
29 1 66.496 89.908
31 1 89.918 111.606
34 1 129.007 137.371
35 1 137.372 145.727
39 1 176.097 209.461
42 1 209.476 226.207
44 1 226.217 259.317
46 1 259.329 282.488
47 1 282.493 298.905
I need 2 colors for column 1. And for the y-axis the column 0 is selected, for the x-axis the column 2 and 3 are important. For each row a line should be plotted. Column 2 is the start time, and column 3 is the stop time.
Answers:
You can read the text file using numpy.loadtxt, for example, and then plot it using matplotlib. For example:
import numpy as np
import matplotlib.pyplot as plt
x, y = np.loadtxt('file.txt', usecols=(2,3), unpack=True)
plt.plot(x,y)
You should see the matplotlib documentation for more options.
If I have understood you correctly, you want to plot a horizontal line between the x-values of the 3rd and 4th column, with y-value equal that in column 0. To plot a horizontal line at a given y-value between two x-values, you could use hlines. I believe the code below is a possible solution.
import numpy as np
import matplotlib.pyplot as plt
# Read data from file into variables
y, c, x1, x2 = np.loadtxt('data.txt', unpack=True)
# Map value to color
color_mapper = np.vectorize(lambda x: {0: 'red', 1: 'blue'}.get(x))
# Plot a line for every line of data in your file
plt.hlines(y, x1, x2, colors=color_mapper(c))
How is it possible with matplotlib to plot a graph with that data. The problem is to visualize the distance from column 2 to column 3. At the end it should look like a Gantt chart.
0 0 0.016 19.833
1 0 19.834 52.805
2 0 52.806 84.005
5 0 84.012 107.305
8 0 107.315 128.998
10 0 129.005 138.956
11 0 138.961 145.587
13 0 145.594 163.863
15 0 163.872 192.118
16 0 192.127 193.787
17 0 193.796 197.106
20 0 236.099 246.223
25 1 31.096 56.180
27 1 58.097 64.857
28 1 64.858 66.494
29 1 66.496 89.908
31 1 89.918 111.606
34 1 129.007 137.371
35 1 137.372 145.727
39 1 176.097 209.461
42 1 209.476 226.207
44 1 226.217 259.317
46 1 259.329 282.488
47 1 282.493 298.905
I need 2 colors for column 1. And for the y-axis the column 0 is selected, for the x-axis the column 2 and 3 are important. For each row a line should be plotted. Column 2 is the start time, and column 3 is the stop time.
You can read the text file using numpy.loadtxt, for example, and then plot it using matplotlib. For example:
import numpy as np
import matplotlib.pyplot as plt
x, y = np.loadtxt('file.txt', usecols=(2,3), unpack=True)
plt.plot(x,y)
You should see the matplotlib documentation for more options.
If I have understood you correctly, you want to plot a horizontal line between the x-values of the 3rd and 4th column, with y-value equal that in column 0. To plot a horizontal line at a given y-value between two x-values, you could use hlines. I believe the code below is a possible solution.
import numpy as np
import matplotlib.pyplot as plt
# Read data from file into variables
y, c, x1, x2 = np.loadtxt('data.txt', unpack=True)
# Map value to color
color_mapper = np.vectorize(lambda x: {0: 'red', 1: 'blue'}.get(x))
# Plot a line for every line of data in your file
plt.hlines(y, x1, x2, colors=color_mapper(c))