Why does this code give me a warning message?
import pandas as pd
import numpy as np
test = pd.DataFrame({'a':np.array([0,1,2]), 'b': np.array([3,4,5])})
It seems anything I do in pandas throws these long error messages, I'm not sure if this is a problem with pycharm or if I'm doing something wrong in pandas.
You can ignore the warning, it is a known bug and is being fixed.
Related
I'm trying to convert a pandas dataframe into an R dataframe using the guide here. The code I have so far is:
import pandas as pd
import rpy2.robjects as ro
from rpy2.robjects import pandas2ri
from rpy2.robjects.conversion import localconverter
pd_df = pd.DataFrame({'int_values': [1, 2, 3],
'str_values': ['abc', 'def', 'ghi']})
with localconverter(ro.default_converter + pandas2ri.converter):
r_from_pd_df = ro.conversion.py2rpy(pd_df)
However, this is giving me the following error:
Traceback (most recent call last):
File <my_file_ref>, line 13, in <module>
r_from_pd_df = ro.conversion.py2rpy(pd_df)
AttributeError: module 'rpy2.robjects.conversion' has no attribute 'py2rpy'
I have found this relevant question where the OP refers to function names being changed however doesn't explain what the changes are. I've tried looking at the module but I'm not quite advanced enough to be able to make sense of it.
The accepted answer refers to checking versions which I've done and I'm definitely using rpy2 v3.3.3 which is the same as the guide I'm following.
Has anyone encountered this error and found a solution?
The section of the rpy2 documentation you are pointing out is built by running the code example. This is means that the example did work with the corresponding version of rpy2.
I am not sure you are using that version of rpy2 at runtime? For example, add print(rpy2.__version__) to check that this is the case.
For what is worth, the latest release in the rpy2 3.3.x series is 3.3.6 and there is probably no good reason to stay with 3.3.3. Otherwise rpy2 3.4.0 was just released; if using R 4.0 or greater, or the latest release of the R packages dplyr or ggplot2 together with their rpy2 wrapper, I would recommend to use that release.
[PS: I just tried your example with rpy2-3.4.0 and it runs without error]
Just upgraded to python3.8, I have updated xarray to v.0.16, but now I am always getting this warning:
/usr/local/lib/python3.8/dist-packages/xarray/core/common.py:1123: FutureWarning: 'base' in .resample() and in Grouper() is deprecated.
The new arguments that you should use are 'offset' or 'origin'.
>>> df.resample(freq="3s", base=2)
becomes:
>>> df.resample(freq="3s", offset="2s")
grouper = pd.Grouper(
The only point in my script in which I am using .resample is this:
mydata = xr.open_dataset(ncfile).resample(time='3H').reduce(np.mean)
but I don't know how to change it to avoid the warning.
Until this is updated in xarray, warnings can be ignored with a call to warnings.filterwarnings.
You're welcome to open an issue on GitHub for xarray (or even a PR!)
I'm using Python and when using the following code
df['timestamp'] = df.groupby(["id"]).timestamp.transform(np.ptp)
I'm getting the warning FutureWarning: Method .ptp is deprecated and will be removed in a future version. Use numpy.ptp instead.. df is a Pandas DataFrame and timestamp and id are columns. I think np.ptp is causing this warning.
What do I have to change?
It means that the Method .ptp is being deprecated in favor of (from what I've read) the function np.ptp() so you can either set warnings to false in order to not read it, or replace the method with the function as numpy seems to suggest.
If you wish to supress the warnings, you can try with:
warnings.filterwarnings('ignore') or warnings.simplefilter('ignore', FutureWarning) if it's only FutureWarning you are ignoring.
I am a newbie and the following question may be dumb and not well written.
I tried the following block of codes in Ipython:
%pylab qt5
x = randn(100,100)
y = mean(x,0)
import seaborn
plot(y)
And it delivered a plot. Everything was fine.
However, when I copied and pasted those same lines of codes to Pycharm and tried running, syntax error messages appeared.
For instance,
%pylab was not recognized.
Then I tried to import numpy and matplotlib one by one. But then,
randn(.,.) was not recognized.
You can use IPython/Jupyter notebooks in PyCharm by following this guide:
https://www.jetbrains.com/help/pycharm/using-ipython-jupyter-notebook-with-pycharm.html
You may modify code like the snippet below in order to run in PyCharm:
from numpy.random import randn
from numpy import mean
import seaborn
x = randn(10, 10)
y = mean(x, 0)
seaborn.plt.plot(x)
seaborn.plt.show()
I am plotting a dataframe:
ax = df.plot()
fig = ax.get_figure()
fig.savefig("{}/{}ts.png".format(IMGPATH, series[pfxlen:]))
It works fine. But, on the console, I get:
/usr/lib64/python2.7/site-packages/matplotlib/axes.py:2542: UserWarning: Attempting to set identical left==right results in singular transformations; automatically expanding. left=736249.924955, right=736249.924955 + 'left=%s, right=%s') % (left, right))
Basic searching hasn't showed me how to solve this error. So, I want to suppress these errors, since they garbage up the console. How can I do this?
Those aren't errors, but warnings. If you aren't concerned by those and just want to silence them, it's as simple as:
import warnings
warnings.filterwarnings('ignore')
Additionally, pandas and other libraries may trigger NumPY floating-point errors. If you encounter those, you have to silence them as well:
import numpy as np
np.seterr('ignore')