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python Programming Glossary: np.nanModifying a subset of rows in a pandas dataframe http://stackoverflow.com/questions/12307099/modifying-a-subset-of-rows-in-a-pandas-dataframe would I achieve that I tried the following df 'A' 0 'B' np.nan and df 'A' 0 'B' .values.fill np.nan without success. python.. df 'A' 0 'B' np.nan and df 'A' 0 'B' .values.fill np.nan without success. python pandas share improve this question..
What is the difference between NaN and None? http://stackoverflow.com/questions/17534106/what-is-the-difference-between-nan-and-none NaN s_bad pd.Series 1 None dtype object s_good pd.Series 1 np.nan In 13 s_bad.dtype Out 13 dtype 'O' In 14 s_good.dtype Out 14..
pandas: Filling missing values within a group http://stackoverflow.com/questions/18265930/pandas-filling-missing-values-within-a-group df pd.DataFrame 'trial' 1 1 1 1 2 2 2 2 3 3 3 3 'cs_name' np.nan 'A1' np.nan np.nan np.nan np.nan 'B2' np.nan 'A1' np.nan np.nan.. 'trial' 1 1 1 1 2 2 2 2 3 3 3 3 'cs_name' np.nan 'A1' np.nan np.nan np.nan np.nan 'B2' np.nan 'A1' np.nan np.nan np.nan.. 1 1 1 1 2 2 2 2 3 3 3 3 'cs_name' np.nan 'A1' np.nan np.nan np.nan np.nan 'B2' np.nan 'A1' np.nan np.nan np.nan Out 177..
How can I plot NaN values as a special color with imshow in matplotlib? http://stackoverflow.com/questions/2578752/how-can-i-plot-nan-values-as-a-special-color-with-imshow-in-matplotlib 111 a np.arange 25 .reshape 5 5 .astype float a 3 np.nan ax.imshow a interpolation 'nearest' f.canvas.draw The resultant..
http://stackoverflow.com/questions/3374878/with-the-python-imaging-library-pil-how-does-one-compose-an-image-with-an-alp out alpha 255 np.clip out 0 255 # astype 'uint8' maps np.nan and np.inf to 0 out out.astype 'uint8' out Image.fromarray out..
Python: max/min builtin functions depend on parameter order http://stackoverflow.com/questions/4237914/python-max-min-builtin-functions-depend-on-parameter-order np.max float 'nan' 1 Out 92 nan but if you wish to ignore np.nan s you can use np.nanmax In 93 np.nanmax 1 float 'nan' Out 93.. Out 92 nan but if you wish to ignore np.nan s you can use np.nanmax In 93 np.nanmax 1 float 'nan' Out 93 1.0 In 94 np.nanmax.. if you wish to ignore np.nan s you can use np.nanmax In 93 np.nanmax 1 float 'nan' Out 93 1.0 In 94 np.nanmax float 'nan' 1 Out..
NumPy: calculate averages with NaNs removed http://stackoverflow.com/questions/5480694/numpy-calculate-averages-with-nans-removed working example import numpy as np dat np.array 1 2 3 4 5 np.nan np.nan 6 np.nan np.nan np.nan np.nan print dat print dat.mean.. example import numpy as np dat np.array 1 2 3 4 5 np.nan np.nan 6 np.nan np.nan np.nan np.nan print dat print dat.mean 1 With.. import numpy as np dat np.array 1 2 3 4 5 np.nan np.nan 6 np.nan np.nan np.nan np.nan print dat print dat.mean 1 With NaNs removed..
Convert RGBA PNG to RGB with PIL http://stackoverflow.com/questions/9166400/convert-rgba-png-to-rgb-with-pil alpha 255 np.clip result 0 255 # astype 'uint8' maps np.nan and np.inf to 0 result result.astype 'uint8' result Image.fromarray..
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