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>>>>> "Derek" == Derek Basch <db...@ya...> writes:

    Derek> Hi everyone, I have been using code similar to the below to
    Derek> format the labels on scatter plots with the x axis set to a
    Derek> logarithmic scale. However when I try the below I still get
    Derek> the base and exponent instead of the product (ie '10**2'
    Derek> instead of '100'). Can anyone tell me what I am doing
    Derek> wrong? Sorry about the large data sample but I figured it
    Derek> was best to be as accurate as possible.

The call to semilogx calls ax.set_xscale which overrides your custom
formatter.  The following should work

  ax.semilogx(x_axis, fp_y_axis, 'r', linewidth=0.1, markersize=2, label = "False Positive")
  formatter = FuncFormatter(log10Product)
  ax.xaxis.set_major_formatter(formatter)

Ie, set your formatter after any call to set_xscale or semilogx.

JDH

Hi everyone,

I have been using code similar to the below to format the labels on scatter plots with the x axis
set to a logarithmic scale. However when I try the below I still get the base and exponent instead
of the product (ie '10**2' instead of '100'). Can anyone tell me what I am doing wrong? Sorry
about the large data sample but I figured it was best to be as accurate as possible.

Thanks,
Derek


from pylab import *
import math

def log10Product(x, pos):
    """The two args are the value and tick position.
    Label ticks with the product of the exponentiation"""
    return '%1i' % (x)

def roundUpLogDecade(x):
    """ Round up to the nearest logarithmic decade""" 
    return 10**math.ceil(math.log10(x))

x_axis = [0.93820000000000003, 0.93820000000000003, 1.4981, 3.0781000000000001,
5.1627999999999998, 5.4006999999999996, 6.4268000000000001, 7.2370000000000001,
9.0183999999999997, 9.3475999999999999, 10.856999999999999, 11.066000000000001,
11.382999999999999, 11.473000000000001, 12.324, 14.512, 16.82, 19.260999999999999,
21.702999999999999, 22.384, 23.899999999999999, 27.716000000000001, 33.753, 38.012,
42.079999999999998, 42.241, 42.656999999999996, 45.177, 46.899999999999999, 49.518999999999998,
51.344999999999999, 52.948999999999998, 64.768000000000001, 65.808999999999997,
66.600999999999999, 66.897999999999996, 67.953999999999994, 67.960999999999999,
73.228999999999999, 73.650000000000006, 78.744, 79.030000000000001, 82.275000000000006,
83.905000000000001, 98.102999999999994, 100.16, 104.84999999999999, 112.56, 126.83,
128.03999999999999, 134.13, 135.43000000000001, 139.5, 148.02000000000001, 153.88, 167.88,
173.90000000000001, 189.97999999999999, 192.00999999999999, 194.66999999999999,
210.25999999999999, 228.90000000000001, 240.83000000000001, 241.34999999999999, 267.69,
268.54000000000002, 268.68000000000001, 276.86000000000001, 292.23000000000002,
294.00999999999999, 295.61000000000001, 305.18000000000001, 313.11000000000001, 315.69,
339.06999999999999, 347.31, 351.27999999999997, 377.97000000000003, 380.61000000000001,
386.07999999999998, 395.48000000000002, 405.25, 423.26999999999998, 427.58999999999997,
434.27999999999997, 455.74000000000001, 473.39999999999998, 474.16000000000003,
479.23000000000002, 518.32000000000005, 533.91999999999996, 539.64999999999998,
540.85000000000002, 580.74000000000001, 585.59000000000003, 600.94000000000005,
611.63999999999999, 638.86000000000001, 665.45000000000005, 697.75999999999999,
754.64999999999998, 815.99000000000001, 818.88, 881.97000000000003, 883.62, 886.70000000000005,
912.51999999999998, 932.30999999999995, 969.55999999999995, 980.72000000000003, 1057.2,
1171.4000000000001, 1188.0999999999999, 1220.9000000000001, 1245.2, 1301.2, 1349.0999999999999,
1355.5, 1357.4000000000001, 1361.5999999999999, 1378.5, 1435.2, 1482.9000000000001,
1496.9000000000001, 1510.3, 1549.5, 1569.0999999999999, 1574.4000000000001, 1602.5, 1608.8,
1651.2, 1705.8, 1798.0999999999999, 1867.2, 1870.7, 2044.4000000000001, 2048.8000000000002,
2092.0999999999999, 2183.9000000000001, 2382.4000000000001, 2506.5999999999999,
2555.0999999999999, 2665.5999999999999, 2753.3000000000002, 2815.1999999999998,
2950.6999999999998, 2996.3000000000002, 3068.0999999999999, 3287.6999999999998,
3313.8000000000002, 3382.5999999999999, 3427.6999999999998, 3467.3000000000002,
3505.9000000000001, 3640.0, 3805.8000000000002, 3889.6999999999998, 3984.8000000000002, 4094.5,
4123.1000000000004, 4224.8000000000002, 4242.8000000000002, 4245.1999999999998,
4499.1999999999998, 4552.6999999999998, 4675.8999999999996, 4744.1999999999998,
4816.3000000000002, 5051.3999999999996, 5138.0, 5690.5, 5800.6000000000004, 6065.0,
6337.1000000000004, 6829.3000000000002, 7285.5, 7310.8000000000002, 7489.1000000000004, 7534.5,
8319.2000000000007, 8976.7999999999993, 9283.2999999999993, 9699.2000000000007, 9767.5, 10895.0,
11247.0, 11454.0, 11631.0, 11661.0, 12096.0, 12536.0, 13030.0, 13117.0, 13179.0, 13376.0, 13515.0,
13519.0, 14708.0, 14954.0, 15329.0, 15336.0, 16031.0, 16625.0, 16883.0, 17730.0, 18511.0, 19191.0,
19219.0, 20144.0, 23457.0, 24807.0, 26801.0, 28435.0, 29286.0, 29382.0, 31013.0, 31665.0, 34811.0,
34961.0, 35997.0, 36588.0, 42922.0, 46101.0, 48096.0, 49627.0, 59298.0, 59775.0, 60756.0, 73322.0,
78387.0, 79868.0, 89046.0, 89655.0, 112410.0, 118700.0, 125460.0, 126660.0, 136190.0, 138140.0,
143090.0, 145420.0, 151440.0, 155060.0, 159980.0, 161240.0, 168830.0, 171290.0, 175630.0,
184960.0, 192330.0, 202910.0, 211700.0, 235890.0, 241170.0, 260540.0, 273750.0, 342660.0,
379170.0, 379560.0, 414240.0, 418600.0, 436640.0, 436760.0, 554500.0, 650750.0, 759950.0,
799680.0, 922060.0, 1000000.0]
fp_y_axis = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0044247787610619468, 0.0088495575221238937,
0.0088495575221238937, 0.013274336283185841, 0.013274336283185841, 0.017699115044247787,
0.022123893805309734, 0.022123893805309734, 0.022123893805309734, 0.026548672566371681,
0.026548672566371681, 0.030973451327433628, 0.035398230088495575, 0.035398230088495575,
0.035398230088495575, 0.035398230088495575, 0.039823008849557522, 0.044247787610619468,
0.044247787610619468, 0.048672566371681415, 0.048672566371681415, 0.053097345132743362,
0.057522123893805309, 0.061946902654867256, 0.061946902654867256, 0.06637168141592921,
0.070796460176991149, 0.070796460176991149, 0.070796460176991149, 0.075221238938053103,
0.075221238938053103, 0.075221238938053103, 0.075221238938053103, 0.075221238938053103,
0.079646017699115043, 0.079646017699115043, 0.079646017699115043, 0.084070796460176997,
0.088495575221238937, 0.092920353982300891, 0.092920353982300891, 0.097345132743362831,
0.10176991150442478, 0.10619469026548672, 0.11061946902654868, 0.11504424778761062,
0.11504424778761062, 0.11946902654867257, 0.12389380530973451, 0.12389380530973451,
0.12389380530973451, 0.12831858407079647, 0.13274336283185842, 0.13716814159292035,
0.1415929203539823, 0.1415929203539823, 0.14601769911504425, 0.15044247787610621,
0.15044247787610621, 0.15044247787610621, 0.15044247787610621, 0.15486725663716813,
0.15929203539823009, 0.16371681415929204, 0.16814159292035399, 0.17256637168141592,
0.17699115044247787, 0.17699115044247787, 0.18141592920353983, 0.18141592920353983,
0.18584070796460178, 0.19026548672566371, 0.19469026548672566, 0.19911504424778761,
0.20353982300884957, 0.20353982300884957, 0.20796460176991149, 0.20796460176991149,
0.20796460176991149, 0.21238938053097345, 0.21238938053097345, 0.21238938053097345,
0.2168141592920354, 0.22123893805309736, 0.22123893805309736, 0.22566371681415928,
0.23008849557522124, 0.23008849557522124, 0.23451327433628319, 0.23451327433628319,
0.23893805309734514, 0.24336283185840707, 0.24336283185840707, 0.24778761061946902,
0.25221238938053098, 0.25663716814159293, 0.26106194690265488, 0.26106194690265488,
0.26548672566371684, 0.26991150442477874, 0.26991150442477874, 0.27433628318584069,
0.27876106194690264, 0.2831858407079646, 0.28761061946902655, 0.29203539823008851,
0.29646017699115046, 0.30088495575221241, 0.30530973451327431, 0.30973451327433627,
0.31415929203539822, 0.31858407079646017, 0.32300884955752213, 0.32300884955752213,
0.32300884955752213, 0.32743362831858408, 0.33185840707964603, 0.33628318584070799,
0.33628318584070799, 0.34070796460176989, 0.34513274336283184, 0.34513274336283184,
0.34955752212389379, 0.35398230088495575, 0.3584070796460177, 0.36283185840707965,
0.36725663716814161, 0.37168141592920356, 0.37168141592920356, 0.37610619469026546,
0.38053097345132741, 0.38495575221238937, 0.38938053097345132, 0.39380530973451328,
0.39823008849557523, 0.40265486725663718, 0.40707964601769914, 0.41150442477876104,
0.41592920353982299, 0.41592920353982299, 0.42035398230088494, 0.4247787610619469,
0.42920353982300885, 0.4336283185840708, 0.43805309734513276, 0.44247787610619471,
0.44690265486725661, 0.45132743362831856, 0.45132743362831856, 0.45575221238938052,
0.46017699115044247, 0.46460176991150443, 0.46902654867256638, 0.47345132743362833,
0.47787610619469029, 0.48230088495575218, 0.48672566371681414, 0.49115044247787609,
0.49115044247787609, 0.49557522123893805, 0.5, 0.5, 0.50442477876106195, 0.50884955752212391,
0.50884955752212391, 0.51327433628318586, 0.51769911504424782, 0.52212389380530977,
0.52654867256637172, 0.53097345132743368, 0.53539823008849563, 0.53982300884955747,
0.54424778761061943, 0.54867256637168138, 0.55309734513274333, 0.55752212389380529,
0.56194690265486724, 0.5663716814159292, 0.57079646017699115, 0.5752212389380531,
0.5752212389380531, 0.57964601769911506, 0.58407079646017701, 0.58849557522123896,
0.59292035398230092, 0.59734513274336287, 0.60176991150442483, 0.60619469026548678,
0.61061946902654862, 0.61504424778761058, 0.61946902654867253, 0.62389380530973448,
0.62831858407079644, 0.63274336283185839, 0.63716814159292035, 0.6415929203539823,
0.64601769911504425, 0.65044247787610621, 0.65486725663716816, 0.65929203539823011,
0.66371681415929207, 0.66814159292035402, 0.67256637168141598, 0.67699115044247793,
0.68141592920353977, 0.68584070796460173, 0.69026548672566368, 0.69469026548672563,
0.69911504424778759, 0.70353982300884954, 0.70796460176991149, 0.71238938053097345,
0.7168141592920354, 0.72123893805309736, 0.72566371681415931, 0.73008849557522126,
0.73451327433628322, 0.73893805309734517, 0.74336283185840712, 0.74778761061946908,
0.75221238938053092, 0.75663716814159288, 0.76106194690265483, 0.76548672566371678,
0.76991150442477874, 0.77433628318584069, 0.77876106194690264, 0.7831858407079646,
0.78761061946902655, 0.79203539823008851, 0.79646017699115046, 0.80088495575221241,
0.80530973451327437, 0.80973451327433632, 0.81415929203539827, 0.81858407079646023,
0.82300884955752207, 0.82743362831858402, 0.83185840707964598, 0.83628318584070793,
0.84070796460176989, 0.84513274336283184, 1.0]
tp_y_axis = [0.0, 0.012987012987012988, 0.025974025974025976, 0.03896103896103896,
0.051948051948051951, 0.064935064935064929, 0.07792207792207792, 0.090909090909090912,
0.1038961038961039, 0.11688311688311688, 0.12987012987012986, 0.14285714285714285,
0.15584415584415584, 0.16883116883116883, 0.18181818181818182, 0.19480519480519481,
0.20779220779220781, 0.22077922077922077, 0.23376623376623376, 0.24675324675324675,
0.25974025974025972, 0.27272727272727271, 0.2857142857142857, 0.29870129870129869,
0.31168831168831168, 0.32467532467532467, 0.32467532467532467, 0.32467532467532467,
0.33766233766233766, 0.33766233766233766, 0.35064935064935066, 0.35064935064935066,
0.35064935064935066, 0.36363636363636365, 0.37662337662337664, 0.37662337662337664,
0.38961038961038963, 0.38961038961038963, 0.38961038961038963, 0.40259740259740262,
0.41558441558441561, 0.42857142857142855, 0.42857142857142855, 0.42857142857142855,
0.44155844155844154, 0.44155844155844154, 0.45454545454545453, 0.45454545454545453,
0.45454545454545453, 0.45454545454545453, 0.46753246753246752, 0.46753246753246752,
0.46753246753246752, 0.48051948051948051, 0.4935064935064935, 0.4935064935064935,
0.50649350649350644, 0.51948051948051943, 0.53246753246753242, 0.54545454545454541,
0.54545454545454541, 0.55844155844155841, 0.5714285714285714, 0.5714285714285714,
0.5714285714285714, 0.5714285714285714, 0.58441558441558439, 0.58441558441558439,
0.58441558441558439, 0.58441558441558439, 0.58441558441558439, 0.58441558441558439,
0.59740259740259738, 0.59740259740259738, 0.59740259740259738, 0.61038961038961037,
0.62337662337662336, 0.62337662337662336, 0.62337662337662336, 0.62337662337662336,
0.62337662337662336, 0.63636363636363635, 0.63636363636363635, 0.63636363636363635,
0.64935064935064934, 0.66233766233766234, 0.67532467532467533, 0.67532467532467533,
0.67532467532467533, 0.67532467532467533, 0.67532467532467533, 0.67532467532467533,
0.67532467532467533, 0.68831168831168832, 0.68831168831168832, 0.70129870129870131,
0.70129870129870131, 0.70129870129870131, 0.70129870129870131, 0.70129870129870131,
0.70129870129870131, 0.7142857142857143, 0.7142857142857143, 0.72727272727272729,
0.74025974025974028, 0.74025974025974028, 0.75324675324675328, 0.76623376623376627,
0.76623376623376627, 0.76623376623376627, 0.77922077922077926, 0.77922077922077926,
0.77922077922077926, 0.79220779220779225, 0.79220779220779225, 0.80519480519480524,
0.80519480519480524, 0.80519480519480524, 0.81818181818181823, 0.81818181818181823,
0.81818181818181823, 0.81818181818181823, 0.81818181818181823, 0.83116883116883122,
0.83116883116883122, 0.83116883116883122, 0.8441558441558441, 0.8441558441558441,
0.8441558441558441, 0.8441558441558441, 0.8441558441558441, 0.8441558441558441,
0.8441558441558441, 0.8441558441558441, 0.8441558441558441, 0.8441558441558441,
0.8441558441558441, 0.8441558441558441, 0.8441558441558441, 0.8571428571428571,
0.87012987012987009, 0.87012987012987009, 0.87012987012987009, 0.87012987012987009,
0.88311688311688308, 0.88311688311688308, 0.88311688311688308, 0.89610389610389607,
0.89610389610389607, 0.89610389610389607, 0.89610389610389607, 0.89610389610389607,
0.89610389610389607, 0.89610389610389607, 0.90909090909090906, 0.90909090909090906,
0.90909090909090906, 0.90909090909090906, 0.90909090909090906, 0.90909090909090906,
0.90909090909090906, 0.90909090909090906, 0.90909090909090906, 0.90909090909090906,
0.90909090909090906, 0.92207792207792205, 0.92207792207792205, 0.92207792207792205,
0.92207792207792205, 0.92207792207792205, 0.92207792207792205, 0.92207792207792205,
0.92207792207792205, 0.92207792207792205, 0.93506493506493504, 0.93506493506493504,
0.93506493506493504, 0.93506493506493504, 0.93506493506493504, 0.93506493506493504,
0.93506493506493504, 0.93506493506493504, 0.93506493506493504, 0.93506493506493504,
0.94805194805194803, 0.94805194805194803, 0.94805194805194803, 0.96103896103896103,
0.96103896103896103, 0.96103896103896103, 0.97402597402597402, 0.97402597402597402,
0.97402597402597402, 0.97402597402597402, 0.97402597402597402, 0.97402597402597402,
0.97402597402597402, 0.97402597402597402, 0.97402597402597402, 0.97402597402597402,
0.97402597402597402, 0.97402597402597402, 0.97402597402597402, 0.97402597402597402,
0.97402597402597402, 0.97402597402597402, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701,
0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 0.98701298701298701, 1.0]     

ax = subplot(111)
ax.set_xscale('log')
            
formatter = FuncFormatter(log10Product)
ax.xaxis.set_major_formatter(formatter)

ax.semilogx(x_axis, fp_y_axis, 'r', linewidth=0.1, markersize=2, label = "False Positive")
ax.semilogx(x_axis, tp_y_axis, 'b', linewidth=0.1, markersize=2, label = "True Positive")

max_xlim = roundUpLogDecade(max(x_axis))
## Must add 1 to allow the last decades label to be shown
ax.set_xlim(1e-1, max_xlim+1)
        
legend(loc=1)
xlabel(r"Prediction", fontsize = 12)
ylabel(r"Rate", fontsize = 12)
grid(True)
show()

__________________________________________________
Do You Yahoo!?
Tired of spam?  Yahoo! Mail has the best spam protection around 
http://mail.yahoo.com 

Dear all,
 
I would like to use Matplotlib with movpy (Movable Python - Movable Python
is a Windows distribution of Python that doesn't need to be installed. It
easily fits onto a USB memory stick.
http://www.voidspace.org.uk/python/movpy/)

With the great help of the Movable Python author, I manage to install pylab
on the stick as well. It even runs with iphyton! 

Unfortunately pylab writes all the fonts and stuff to the "home" dir of the
Windows PC. I tried to change the datapath in matplotlibrc, but I could not
manage to use a relative path. It crashed. A absolute path is no so good,
because USB Sticks can have different drive names on different Windows PCs.

Does somebody knows a solution to use a relative path for the datapath
directory?

Regards

Jens

 

I just compiled MPL (with NumPy for the numerix package) on my new  
intel-based MacBook.  I used the png and freetype libraries installed  
via i-Installer (http://ii2.sf.net), which are available as universal  
(i.e., intel-compatible) binaries.  AquaTk (universal) was already  
there.

I did install the latest 2.4 python from source, in order to get  
readline.  After some testing with between the installed python2.3,  
and the new python2.4, it seems that the newer python is faster, and  
there are some glitches displaying graphics using the installed  
python2.3 that I have not yet worked out.

-Rob.

-----
Rob Hetland, Assistant Professor
Dept of Oceanography, Texas A&M University
p: 979-458-0096, f: 979-845-6331
e: he...@ta..., w: http://pong.tamu.edu

Please include your version of matplotlib and any nonstandard rc settings, 
otherwise I cant help.

Darren

On Wednesday 01 March 2006 13:51, Charles R. Twardy wrote:
> Hi all,
>
> The following code generates .png files fine ("python test.py") but
> the postscript backend ("python test.py -dPS") clips the upper right,
> as attached (converted to .png).  Thoughts?
>
> -Charles
>
> import pylab
> pylab.figure(1, figsize=(8,8))
> #ax = pylab.axes([0.1, 0.1, 0.8, 0.8])
> pop_fig = pylab.pie([150,110,25,29,11,3,2,2],
>                     labels =
> ['NSW','VIC','WA','SA','QLD','ACT','NT','TAS'], autopct = "%1.0f%%",
>                     shadow=True)
> pylab.title("Num Cases by State or Territory")
> pylab.savefig('test')
>
>
> --
> Charles R. Twardy

-- 
Darren S. Dale, Ph.D.
Cornell High Energy Synchrotron Source
Cornell University
200L Wilson Lab
Rt. 366 & Pine Tree Road
Ithaca, NY 14853

dd...@co...
office: (607) 255-9894
fax: (607) 255-9001

Hi all,

The following code generates .png files fine ("python test.py") but
the postscript backend ("python test.py -dPS") clips the upper right,
as attached (converted to .png).  Thoughts?

-Charles

import pylab
pylab.figure(1, figsize=3D(8,8))
#ax =3D pylab.axes([0.1, 0.1, 0.8, 0.8])
pop_fig =3D pylab.pie([150,110,25,29,11,3,2,2],
                    labels =3D ['NSW','VIC','WA','SA','QLD','ACT','NT','TAS=
'],
                    autopct =3D "%1.0f%%",
                    shadow=3DTrue)
pylab.title("Num Cases by State or Territory")
pylab.savefig('test')


--
Charles R. Twardy

>>>>> "Finny" == Finny Kuruvilla <kur...@mo...> writes:

    Finny> I'm not exactly sure why this is true, but I've empirically
    Finny> found this out to be the case.  If anyone knows why, I'd
    Finny> sure love to know.

matplotlib will work with numpy, numarray *or* Numeric, but it doesn't
work with all three at the same time.  You need to set your "numerix"
setting in your config file to agree with which package you are using
(and then restart python).  An example rc file is at
http://matplotlib.sf.net/matplotlibrc

We provide a numerix compatibility layer which you can consider using
so you won't get into these troubles.  This essentially guarantees
that the array object you are using is the same as the one you have
set in your configuration file

  import matplotlib.numerix as nx
  x=nx.array([1,2])
  hist(x)

You can inspect the value of the numerix parameter with

  import matplotlib
  print matplotlib.rcParams['numerix']

rcParams is a dictionary mapping a configuration parameter to a
value.  Most of these can be changed dynamically at runtime, but two,
the 'numerix' and the 'backend' setting must be changed before
importing the numerix module and pylab, respectively, because these
trigger imports that are not easily undone.  Most people just set
these once in their rc file and are done with it, but you can set them
in a script with 

  from matplotlib import rcParams
  rcParams['numerix] = 'numpy'
  rcParams['backend'] = 'PS'

  # it is now safe to import numerix and pylab
  import matplotlib.numerix as nx  # you'll be using numpy
  import pylab                     # with the postscript backend as default

JDH
JDH

>>>>> "Xavier" == Xavier Gnata <gn...@ob...> writes:

    >> We have migrated the development repository from CVS to svn.
    >> You can now get the latest source tree with svn co
    >> https://svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib
    >> The CVS tree is now dead and should not be used.

I just disabled CVS.  Thanks for the hint.

JDH

Xavier Gnata a écrit :
> 
>> We have migrated the development repository from CVS to svn.  You can
>> now get the latest source tree with
>>  svn co https://svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib
>> The CVS tree is now dead and should not be used.
>>
>> JDH
>>
>>  
>>
> Hi,
> 
> Is it possbile to update this page 
> http://sourceforge.net/cvs/?group_id=80706 or is the "CVS" string 
> hard-coded in sourceforge projets pages (it would be sad)?
> 

I think you are looking for this page:

http://sourceforge.net/svn/?group_id=80706

-- 
   .''`.  Aurelien Jarno	            | GPG: 1024D/F1BCDB73
  : :' :  Debian developer           | Electrical Engineer
  `. `'   au...@de...         | aur...@au...
    `-    people.debian.org/~aurel32 | www.aurel32.net

You had to change the function find_tcltk in setupext.py. There are a 
problem on suse with "tk.getvar('tcl_library')" who are pointing toward 
something like "/usr/share/lib/tcl" instead that where are really the 
library.

This is an example who work here:

def find_tcltk():
    """Finds Tcl/Tk includes/libraries/version by interrogating Tkinter."""
    try:
        import Tkinter
    except:
        print "Tkinter not properly installed\n"
        sys.exit(1)
    if Tkinter.TkVersion < 8.3:
        print "Tcl/Tk v8.3 or later required\n"
        sys.exit(1)
    o = FoundTclTk()
    try:
        tk=Tkinter.Tk()   
    except Tkinter.TclError:
        print "Using default library and include directories for Tcl and 
Tk because a"
        print "Tk window failed to open.  You may need to define DISPLAY 
for Tk to work"
        print "so that setup can determine where your libraries are 
located."
        o.tcl_lib = "/usr/lib"
        o.tcl_inc = "/usr/include"
        o.tk_lib = "/usr/lib"
        o.tk_inc = "/usr/include"
        o.tkv = ""
    else:
        tk.withdraw()
#not working on suse 10
        #o.tcl_lib = os.path.join((tk.getvar('tcl_library')), '../')
        #o.tk_lib = os.path.join(str(tk.getvar('tk_library')), '../')
        #o.tkv = str(Tkinter.TkVersion)[:3]
        #o.tcl_inc = os.path.join((tk.getvar('tcl_library')),
        #            '../../include/tcl'+o.tkv)

#change introduce to tell where are the library and the version
        o.tcl_lib = "/usr/lib"
        o.tcl_inc = "/usr/include"
        o.tk_lib = "/usr/lib"
        o.tk_inc = "/usr/include"
        o.tkv = "8.4"

        if not os.path.exists(o.tcl_inc):
            o.tcl_inc = os.path.join((tk.getvar('tcl_library')),
                        '../../include')
        o.tk_inc = os.path.join((tk.getvar('tk_library')),
                    '../../include/tk'+o.tkv)       
        if not os.path.exists(o.tk_inc):
            o.tk_inc = os.path.join((tk.getvar('tk_library')),
                        '../../include')
        if not os.path.exists(o.tcl_inc):
            print 'cannot find tcl/tk headers. giving up.'
            sys.exit()
    return o


Nils Wagner wrote:
> Hi all,
>
> I tried to build matplotlib on SuSE Linux 10.0
> python setup.py build results in
>
>
> .cannot find tcl/tk headers. giving up.
>
> Any idea ?
>
> I have installed
>
> rpm -qi tk-devel
> Name        : tk-devel                     Relocations: (not relocatable)
> Version     : 8.4.11                            Vendor: SUSE LINUX
> Products GmbH, Nuernberg, Germany
> Release     : 5                             Build Date: Tue 13 Sep 2005
> 01:10:13 AM CEST
> Install date: Tue 28 Feb 2006 09:43:35 AM CET      Build Host: barry.suse.de
> Group       : Development/Languages/Tcl     Source RPM: tk-8.4.11-5.src.rpm
> Size        : 637061                           License: BSD
> Signature   : DSA/SHA1, Tue 13 Sep 2005 01:14:50 AM CEST, Key ID
> a84edae89c800aca
> Packager    : http://www.suse.de/feedback
> URL         : http://www.tcl.tk
> Summary     : Header Files and C API Documentation for Tk
> Description :
> This package contains header files and documentation needed for writing
> Tk extensions in compiled languages like C, C++, etc., or for embedding
> Tk in programs written in such languages.
>
> This package is not needed for writing extensions or applications for
> Tk in the Tcl language itself.
>
>
>
> Authors:
> --------
>     John Ousterhout  <joh...@en...>
> Distribution: SUSE LINUX 10.0 (X86-64)
>
> whitney:/usr/local/svn/matplotlib # rpm -qi tcl-devel
> Name        : tcl-devel                    Relocations: (not relocatable)
> Version     : 8.4.11                            Vendor: SUSE LINUX Products GmbH, Nuernberg, Germany
> Release     : 2                             Build Date: Fri 09 Sep 2005 07:26:00 PM CEST
> Install date: Tue 28 Feb 2006 09:43:09 AM CET      Build Host: Hygiea.suse.de
> Group       : Development/Languages/Tcl     Source RPM: tcl-8.4.11-2.src.rpm
> Size        : 848628                           License: BSD
> Signature   : DSA/SHA1, Fri 09 Sep 2005 08:35:27 PM CEST, Key ID a84edae89c800aca
> Packager    : http://www.suse.de/feedback
> URL         : http://www.tcl.tk
> Summary     : Header Files and C API Documentation for Tcl
> Description :
> This package contains header files and documentation needed for writing
> Tcl extensions in compiled languages like C, C++, etc., or for
> embedding the Tcl interpreter in programs written in such languages.
>
> This package is not needed for writing extensions or applications in
> the Tcl language itself.
> Distribution: SUSE LINUX 10.0 (X86-64)
>  
>
>
>
>
> -------------------------------------------------------
> This SF.Net email is sponsored by xPML, a groundbreaking scripting language
> that extends applications into web and mobile media. Attend the live webcast
> and join the prime developer group breaking into this new coding territory!
> http://sel.as-us.falkag.net/sel?cmd=lnk&kid=110944&bid=241720&dat=121642
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>   

>We have migrated the development repository from CVS to svn.  You can
>now get the latest source tree with 
>
>  svn co https://svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib 
>
>The CVS tree is now dead and should not be used.
>
>JDH
>
>  
>
Hi,

Is it possbile to update this page 
http://sourceforge.net/cvs/?group_id=80706 or is the "CVS" string 
hard-coded in sourceforge projets pages (it would be sad)?

Xavier.

Hi all,

I tried to build matplotlib on SuSE Linux 10.0
python setup.py build results in


.cannot find tcl/tk headers. giving up.

Any idea ?

I have installed

rpm -qi tk-devel
Name        : tk-devel                     Relocations: (not relocatable)
Version     : 8.4.11                            Vendor: SUSE LINUX
Products GmbH, Nuernberg, Germany
Release     : 5                             Build Date: Tue 13 Sep 2005
01:10:13 AM CEST
Install date: Tue 28 Feb 2006 09:43:35 AM CET      Build Host: barry.suse.de
Group       : Development/Languages/Tcl     Source RPM: tk-8.4.11-5.src.rpm
Size        : 637061                           License: BSD
Signature   : DSA/SHA1, Tue 13 Sep 2005 01:14:50 AM CEST, Key ID
a84edae89c800aca
Packager    : http://www.suse.de/feedback
URL         : http://www.tcl.tk
Summary     : Header Files and C API Documentation for Tk
Description :
This package contains header files and documentation needed for writing
Tk extensions in compiled languages like C, C++, etc., or for embedding
Tk in programs written in such languages.

This package is not needed for writing extensions or applications for
Tk in the Tcl language itself.



Authors:
--------
    John Ousterhout  <joh...@en...>
Distribution: SUSE LINUX 10.0 (X86-64)

whitney:/usr/local/svn/matplotlib # rpm -qi tcl-devel
Name        : tcl-devel                    Relocations: (not relocatable)
Version     : 8.4.11                            Vendor: SUSE LINUX Products GmbH, Nuernberg, Germany
Release     : 2                             Build Date: Fri 09 Sep 2005 07:26:00 PM CEST
Install date: Tue 28 Feb 2006 09:43:09 AM CET      Build Host: Hygiea.suse.de
Group       : Development/Languages/Tcl     Source RPM: tcl-8.4.11-2.src.rpm
Size        : 848628                           License: BSD
Signature   : DSA/SHA1, Fri 09 Sep 2005 08:35:27 PM CEST, Key ID a84edae89c800aca
Packager    : http://www.suse.de/feedback
URL         : http://www.tcl.tk
Summary     : Header Files and C API Documentation for Tcl
Description :
This package contains header files and documentation needed for writing
Tcl extensions in compiled languages like C, C++, etc., or for
embedding the Tcl interpreter in programs written in such languages.

This package is not needed for writing extensions or applications in
the Tcl language itself.
Distribution: SUSE LINUX 10.0 (X86-64)
 

I've finally figured out why I've been having trouble creating histograms=
.
 As it turns out, if you pass to hist() a datatype that is numpy.ndarray
instead of a Numeric array, you get the following error.  Check this out:

>>> import numpy
>>> import Numeric
>>> from pylab import *
>>> y=3DNumeric.array([1,2])
>>> hist(y)       # This works no problem
>>> x=3Dnumpy.array([1,2])
>>> hist(x)
Traceback (most recent call last):
  File "<stdin>", line 1, in ?
  File "/usr/lib/python2.4/site-packages/matplotlib/pylab.py", line 1857,
in hist
    ret =3D  gca().hist(*args, **kwargs)
  File "/usr/lib/python2.4/site-packages/matplotlib/axes.py", line 1676,
in hist
    n,bins =3D matplotlib.mlab.hist(x, bins, normed)
  File "/usr/lib/python2.4/site-packages/matplotlib/mlab.py", line 621, i=
n
hist
    dy =3D (ymax-ymin)/bins
TypeError: unsupported operand type(s) for -: 'str' and 'str'


I'm not exactly sure why this is true, but I've empirically found this ou=
t
to be the case.  If anyone knows why, I'd sure love to know.

Thanks,
Finny Kuruvilla

We have migrated the development repository from CVS to svn.  You can
now get the latest source tree with 

  svn co https://svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib 

The CVS tree is now dead and should not be used.

JDH

T24gMy8xLzA2LCBEYXJyZW4gRGFsZSA8ZGQ1NUBjb3JuZWxsLmVkdT4gd3JvdGU6Cj4gIkhvd2V2
ZXIsIGl0IGlzIHZlcnkgZWFzeSB0byB3cml0ZSBhbmQgYW5hbHl6ZSBwcm9ncmFtcyB0byBwcm9j
ZXNzIHRoaXMKPiBmb3JtYXQsIGFuZCB0aGF0IGlzIHRoZSBwb2ludC4iCj4KPiBTbyBqdXN0IG91
dCBvZiBjdXJpb3NpdHksIHdoYXQgaXMgdGhpcyBmb3JtYXQgdXNlZCBmb3I/CgppaWFubSwgaXQn
cyB0aGUgIm1pZGRsZW1hbiIgZm9ybWF0IHVzZWQgaW4gdGhlIG5ldHBibSBzdWl0ZQpvZiBjb21t
YW5kbGluZSBpbWFnZSBwcm9jZXNzaW5nIHRvb2xzLgoKLS0gZGF2ZQpFbWFpbDogZGF2aWQudy5o
LmNoaW5AZ21haWwuY29tCgpQUyBHbyBCaWcgUmVkISAtLWRhdmUgJzkyCg==

Hi all,

Is matplotlib available via svn ?
 

Nils

Hi:  I just added the oft-requested reversed colormaps to the trunk in 
svn.  The reversed colormaps have '_r" appended to the name, so cm.jet 
reversed would be cm.jet_r.

-Jeff

-- 
Jeffrey S. Whitaker         Phone : (303)497-6313
NOAA/OAR/CDC  R/CDC1        FAX   : (303)497-6449
325 Broadway                Web   : http://www.cdc.noaa.gov/~jsw
Boulder, CO, USA 80305-3328 Office: Skaggs Research Cntr 1D-124

On Wednesday 01 March 2006 8:50 am, Nils Wagner wrote:
> Hi,
>
> Afaik there is no support for ppm files within matplotlib.
> Is it planned to add this format to the existing formats bmp, eps, jpg,
> png, ps, svg ?

=46rom the netpbm website:

"The PPM format is a lowest common denominator color image file format.

It should be noted that this format is egregiously inefficient. It is highl=
y =09
redundant, while containing a lot of information that the human eye can't=20
even discern. Furthermore, the format allows very little information about=
=20
the image besides basic color, which means you may have to couple a file in=
=20
this format with other independent information to get any decent use out of=
=20
it."

They go on:

"However, it is very easy to write and analyze programs to process this=20
format, and that is the point."

So just out of curiosity, what is this format used for?

Darren

Hi,

Afaik there is no support for ppm files within matplotlib.
Is it planned to add this format to the existing formats bmp, eps, jpg,
png, ps, svg ?
 

Nils