Keep getting: TypeError: float() argument must be a string or a number about ggpy HOT 9 CLOSED

I'm getting this sporadically as well. I'll take a look but it looks like ggplot is passing an invalid data type to statsmodels. Does it work with method="lm" for stat_smooth?

On Oct 15, 2013, at 10:05 AM, Bart [email protected] wrote:

For every example I try (be it in IPython or not) I get the following error:

File "ggplot_test.py", line 11, in
ggsave(p, "test.png")
File "C:\Python27\lib\site-packages\ggplot\utils\utils.py", line 4, in ggsave
print (plot)
File "C:\Python27\lib\site-packages\ggplot\ggplot.py", line 209, in repr
callbacks = geom.plot_layer(layer)
File "C:\Python27\lib\site-packages\ggplot\geoms\stat_smooth.py", line 37, in plot_layer
y, y1, y2 = smoothers.lowess(x, y)
File "C:\Python27\lib\site-packages\ggplot\components\smoothers.py", line 38, in lowess
result = smlowess(np.array(y), np.array(x), frac=span)
File "C:\Python27\lib\site-packages\statsmodels\nonparametric\smoothers_lowess.py", line 128, in lowess
exog = np.asarray(exog, float)
File "C:\Python27\lib\site-packages\numpy-1.7.0-py2.7-win32.egg\numpy\core\numeric.py", line 320, in asarray
return array(a, dtype, copy=False, order=order)
TypeError: float() argument must be a string or a number
The specific example:

from ggplot import *

p = ggplot(aes(x='date', y='beef'), data=meat) +
geom_point(color='lightblue') +
geom_line(alpha=0.25) +
stat_smooth(span=.05, color='black') +
ggtitle("Beef: It's What's for Dinner") +
xlab("Date") +
ylab("Head of Cattle Slaughtered")

ggsave(p, "test.png")

—
Reply to this email directly or view it on GitHub.

from ggpy.

I get a different error when using method="lm"

 File "ryp_ggplot.py", line 11, in <module>
   ggsave(p, "test.png")
 File "C:\Python27\lib\site-packages\ggplot\utils\utils.py", line 4, in ggsave
   print (plot)
 File "C:\Python27\lib\site-packages\ggplot\ggplot.py", line 209, in __repr__
   callbacks = geom.plot_layer(layer)
 File "C:\Python27\lib\site-packages\ggplot\geoms\stat_smooth.py", line 33, in plot_layer
   y, y1, y2 = smoothers.lm(x, y)
 File "C:\Python27\lib\site-packages\ggplot\components\smoothers.py", line 24, in lm
   fit = sm.OLS(df.y,df[['x','const']]).fit()
 File "C:\Python27\lib\site-packages\statsmodels\regression\linear_model.py", line 479, in __init__
   hasconst=hasconst)
 File "C:\Python27\lib\site-packages\statsmodels\regression\linear_model.py", line 381, in __init__
   weights=weights, hasconst=hasconst)
 File "C:\Python27\lib\site-packages\statsmodels\regression\linear_model.py", line 79, in __init__
   super(RegressionModel, self).__init__(endog, exog, **kwargs)
 File "C:\Python27\lib\site-packages\statsmodels\base\model.py", line 137, in __init__
   self.initialize()
 File "C:\Python27\lib\site-packages\statsmodels\regression\linear_model.py", line 88, in initialize
   self.rank = rank(self.exog)
 File "C:\Python27\lib\site-packages\statsmodels\tools\tools.py", line 381, in rank
   D = svdvals(X)
 File "C:\Python27\lib\site-packages\scipy\linalg\decomp_svd.py", line 146, in svdvals
   check_finite=check_finite)
 File "C:\Python27\lib\site-packages\scipy\linalg\decomp_svd.py", line 100, in svd
   full_matrices=full_matrices, overwrite_a=overwrite_a)
TypeError: float() argument must be a string or a number

I does however work when omitting stat_smooth()

from ggpy.

Ok thanks for debugging. Should be able to patch this fairly easily.

In other news, the scipy stack trace sure is nasty!

On Oct 15, 2013, at 10:34 AM, Bart [email protected] wrote:

I get a different error when using method="lm"

File "ryp_ggplot.py", line 11, in
ggsave(p, "test.png")
File "C:\Python27\lib\site-packages\ggplot\utils\utils.py", line 4, in ggsave
print (plot)
File "C:\Python27\lib\site-packages\ggplot\ggplot.py", line 209, in repr
callbacks = geom.plot_layer(layer)
File "C:\Python27\lib\site-packages\ggplot\geoms\stat_smooth.py", line 33, in plot_layer
y, y1, y2 = smoothers.lm(x, y)
File "C:\Python27\lib\site-packages\ggplot\components\smoothers.py", line 24, in lm
fit = sm.OLS(df.y,df[['x','const']]).fit()
File "C:\Python27\lib\site-packages\statsmodels\regression\linear_model.py", line 479, in init
hasconst=hasconst)
File "C:\Python27\lib\site-packages\statsmodels\regression\linear_model.py", line 381, in init
weights=weights, hasconst=hasconst)
File "C:\Python27\lib\site-packages\statsmodels\regression\linear_model.py", line 79, in init
super(RegressionModel, self).init(endog, exog, **kwargs)
File "C:\Python27\lib\site-packages\statsmodels\base\model.py", line 137, in init
self.initialize()
File "C:\Python27\lib\site-packages\statsmodels\regression\linear_model.py", line 88, in initialize
self.rank = rank(self.exog)
File "C:\Python27\lib\site-packages\statsmodels\tools\tools.py", line 381, in rank
D = svdvals(X)
File "C:\Python27\lib\site-packages\scipy\linalg\decomp_svd.py", line 146, in svdvals
check_finite=check_finite)
File "C:\Python27\lib\site-packages\scipy\linalg\decomp_svd.py", line 100, in svd
full_matrices=full_matrices, overwrite_a=overwrite_a)
TypeError: float() argument must be a string or a number
I does however work when omitting stat_smooth()

—
Reply to this email directly or view it on GitHub.

from ggpy.

I was getting this error if I had a really old version of pandas installed.

from ggpy.

I had the same results as @desilinguist. If you pip install pandas it should remove these errors.

from ggpy.

Thanks! This worked for me too.

$ pip install -U pandas

On Tue, Oct 15, 2013 at 2:55 PM, Stefan Eng [email protected]:

I had the same results as @desilinguist https://github.com/desilinguist.
If you pip install pandas it should remove these errors.

—
Reply to this email directly or view it on GitHubhttps://github.com//issues/27#issuecomment-26362095
.

from ggpy.

Hmz, unfortunately I still can't get the stat_smooth function working. I updated pandas to v. 0.12.0 and made sure the other required packages are also up-to-date. I however keep getting this error:

Traceback (most recent call last):
  File "ggplot.py", line 9, in <module>
    ylab("Head of Cattle Slaughtered")
  File "C:\Python27\lib\site-packages\ggplot\ggplot.py", line 209, in __repr__
    callbacks = geom.plot_layer(layer)
  File "C:\Python27\lib\site-packages\ggplot\geoms\stat_smooth.py", line 37, in plot_layer
    y, y1, y2 = smoothers.lowess(x, y)
  File "C:\Python27\lib\site-packages\ggplot\components\smoothers.py", line 38, in lowess
    result = smlowess(np.array(y), np.array(x), frac=span)
  File "C:\Python27\lib\site-packages\statsmodels\nonparametric\smoothers_lowess.py", line 128, in lowess
    exog = np.asarray(exog, float)
  File "C:\Python27\lib\site-packages\numpy\core\numeric.py", line 460, in asarray
    return array(a, dtype, copy=False, order=order)
TypeError: float() argument must be a string or a number

When using this example:

from ggplot import *

print ggplot(aes(x='date', y='beef'), data=meat) + \
    geom_point(color='lightblue') + \
    geom_line(alpha=0.25) + \
    stat_smooth(span=.05, color='black') + \
    ggtitle("Beef: It's What's for Dinner") + \
    xlab("Date") + \
    ylab("Head of Cattle Slaughtered")

plt.show(1)

from ggpy.

@bart6114 are you sure pandas actually got upgraded? Pip is pretty notorious for not following through with upgrades if you have an older version of the package in some /tmp/pip* build directory. I'd double-check by importing pandas and checking the output of pandas.__version__.

from ggpy.

Thanks @dan-blanchard , that was the problem!

from ggpy.